<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.180597.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Systematic Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Does Authentic Leadership Foster Work Engagement? A Post-Pandemic Systematic Review and Meta-Analysis</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kristanto</surname>
                        <given-names>S. Daniel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0007-2090-0718</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sari</surname>
                        <given-names>Sylvia Permata</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0002-2629-6092</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Ardi</surname>
                        <given-names>Ardi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5224-7262</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Magister Management, Faculty of Economics and Business, Pelita Harapan University, Tangerang, Banten, 15811, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Faculty of Economics and Business, Pelita Harapan University, Tangerang, Banten, 15811, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ardi.kho@lecturer.uph.edu">ardi.kho@lecturer.uph.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>5</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>763</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>7</day>
                    <month>5</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Kristanto SD et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-763/pdf"/>
            <abstract>
                <title>Abstract*</title>
                <sec>
                    <title>Background</title>
                    <p>Work engagement has emerged as a critical psychological resource for organizational resilience in the post-pandemic era. Authentic leadership is theoretically positioned as a key antecedent of engagement, yet empirical findings regarding the strength and consistency of this relationship remain fragmented, particularly across emerging economies. This study synthesizes post-pandemic evidence on the authentic leadership and work engagement relationship, integrating Social Exchange Theory and the Job Demands-Resources model as complementary interpretive frameworks.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Following PRISMA 2020 guidelines, a systematic search was conducted across SCOPUS, Web of Science, Wiley Online, and APA PsycNet for peer-reviewed empirical studies published between 2020 and 2025. Only studies reporting bivariate Pearson correlation coefficients were included. Nineteen studies spanning 12 countries across Asia, Europe, Africa, South America, and Oceania met the inclusion criteria, yielding a combined sample of 6,916 participants. A random-effects meta-analysis using Restricted Maximum Likelihood estimation with Knapp-Hartung adjustment was performed. Subgroup analyses examined cultural power distance, industry type, organizational sector, and country classification as moderators.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The analysis revealed a significant positive pooled correlation between authentic leadership and work engagement (
                        <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41, 95% 
                        <italic toggle="yes">CI</italic> [0.35, 0.47], 
                        <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001), classified as a medium effect, with substantial heterogeneity (
                        <italic toggle="yes">I
                            <sup>2</sup>
                        </italic>&#x00a0;=&#x00a0;87.20%). None of the four tested moderators significantly explained between-study variance, although limited statistical power due to unbalanced subgroup sizes precludes definitive conclusions regarding contextual invariance. Robustness was supported by a Fail-Safe N of 7,783 and sensitivity analyses. Narrative synthesis identified psychological capital and psychological empowerment as the most consistently supported mediating mechanisms, with organizational performance, innovative work behavior, and leadership aspirations as preliminary downstream outcomes.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Authentic leadership demonstrated a consistent positive association with work engagement across the diverse contexts represented in the included studies. These findings suggest that authentic leadership development may contribute to fostering decent work environments, with relevance to Sustainable Development Goal 8.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Authentic Leadership</kwd>
                <kwd>Work Engagement</kwd>
                <kwd>Meta-Analysis</kwd>
                <kwd>Job Demands-Resources Model</kwd>
                <kwd>Social Exchange Theory</kwd>
                <kwd>Post-Pandemic</kwd>
                <kwd>Random-Effects Model</kwd>
                <kwd>SDG 8</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>1. Introduction</title>
            <p>In today&#x2019;s volatile and rapidly evolving business environment, work engagement has emerged as a critical psychological resource for organizational survival and competitive advantage (
                <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>). Work engagement is a positive work-related state of mind characterized by vigor, dedication, and absorption (
                <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>). This psychological state enables employees to cope with elevated job demands and sustain mental resilience (
                <xref ref-type="bibr" rid="ref11">Decuypere &amp; Schaufeli, 2021</xref>; 
                <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>). Recent empirical research evidence indicates that engaged employees demonstrate elevated innovative behavior and enhanced performance, including reduced turnover intentions, which are essential characteristics for organizations functioning in the post-pandemic new normal (
                <xref ref-type="bibr" rid="ref7">Bai et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>). A lack of engagement is increasingly associated with psychological withdrawal and attrition, particularly among younger demographics such as Generation Z entering high-pressure industries like hospitality and manufacturing (
                <xref ref-type="bibr" rid="ref40">Sigaeva et al., 2022</xref>). Consequently, organizations are increasingly seeking leadership models that can cultivate this vital psychological resource.</p>
            <p>Among various leadership styles, authentic leadership has attracted considerable academic interest as a significant antecedent of work engagement. Based on the foundational work of 
                <xref ref-type="bibr" rid="ref49">Walumbwa et al. (2008)</xref>, authentic leadership is conceptualized as a pattern of leader behavior that draws upon positive psychological capacities and a positive ethical climate to foster greater self-awareness, an internalized moral perspective, balanced processing of information, and relational transparency (
                <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref48">Vermeulen &amp; Scheepers, 2020</xref>). Theoretical frameworks such as Social Exchange Theory (SET) and the Job Demands-Resources (JD-R) model have been used to explain workforce dynamics including authentic leadership and work engagement relationship (
                <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref28">Li et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref37">Pulido-Martos et al., 2023</xref>). From a SET perspective, authentic leaders exhibiting transparency and moral integrity create a norm of reciprocity, prompting followers to return the leader&#x2019;s support with heightened dedication and involvement (
                <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref48">Vermeulen &amp; Scheepers, 2020</xref>). The JD-R model posits that authentic leadership functions as a crucial job resource that mitigates occupational stress and enhances motivation, thereby improving engagement either directly or through intermediaries such as psychological capital and well-being (
                <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref37">Pulido-Martos et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>).</p>
            <p>Despite the theoretical soundness of this link, empirical findings regarding its strength and consistency remain fragmented, particularly in the post-pandemic era (
                <xref ref-type="bibr" rid="ref32">Macamo &amp; Klasmeier, 2024</xref>). Prior meta-analyses reported positive correlations based largely on pre-pandemic data drawn from Western contexts (
                <xref ref-type="bibr" rid="ref11">Decuypere &amp; Schaufeli, 2021</xref>). More recent studies conducted in emerging economies have produced considerably heterogeneous effects. Research conducted in China&#x2019;s manufacturing sector has found moderate correlations (
                <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.26) between authentic leadership and engagement (
                <xref ref-type="bibr" rid="ref7">Bai et al., 2022</xref>), whereas studies in Malaysia and South Africa&#x2019;s service sectors demonstrate considerably stronger effects, with correlations surpassing 0.50 (
                <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>; 
                <xref ref-type="bibr" rid="ref48">Vermeulen &amp; Scheepers, 2020</xref>). This substantial variation raises an important question: under what conditions is authentic leadership most effective in fostering engagement? Recent research further emphasizes that leader behavioral consistency is pivotal, as inconsistency can diminish the beneficial impacts on follower well-being (
                <xref ref-type="bibr" rid="ref32">Macamo &amp; Klasmeier, 2024</xref>). These patterns suggest that the effect of authentic leadership may be contingent on contextual factors, such as cultural or industrial environments, that prior meta-analyses may have overlooked.</p>
            <p>A further methodological gap exists in prior syntheses. Previous meta-analyses have pooled bivariate Pearson correlation coefficients (
                <italic toggle="yes">r</italic>) together with effect sizes estimated from regression (
                <italic toggle="yes">&#x03b2;</italic>) coefficients, a practice that introduces estimation bias and compromises the accuracy of the pooled effect size (
                <xref ref-type="bibr" rid="ref36">Paul &amp; Barari, 2022</xref>). A rigorous synthesis is required that strictly uses bivariate Pearson correlation coefficients to obtain an accurate estimate of the population effect size (
                <xref ref-type="bibr" rid="ref50">Xiao, 2024</xref>). In addition, the global disruption experienced in 2020&#x2013;2022 triggered fundamental transformations in work organization that require&#x2002;renewed examination of the relationship between leadership and engagement, especially in the regions that remain under-represented in the leadership and engagement literature, such as Southeast Asia, Eastern Europe, and Africa (
                <xref ref-type="bibr" rid="ref33">Niswaty et al., 2021</xref>; 
                <xref ref-type="bibr" rid="ref40">Sigaeva et al., 2022</xref>; 
                <xref ref-type="bibr" rid="ref48">Vermeulen &amp; Scheepers, 2020</xref>).</p>
            <p>To address these gaps, this study integrates quantitative meta-analysis and qualitative narrative synthesis to pursue four research questions:
                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>RQ1: What is the pooled effect size of the relationship between authentic leadership and work engagement in empirical studies published from 2020 to 2025?</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>RQ2: Do cultural, industrial, sectoral, and country-level contexts moderate this relationship?</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>RQ3: How can the observed relationship between authentic leadership and work engagement be interpreted through the complementary lenses of SET and the JD-R model?</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>RQ4: What mediating mechanisms and organizational outcomes emerge from the included studies?</p>
                    </list-item>
                </list>
            </p>
            <p>Beyond its theoretical contributions, this study has practical relevance to promoting decent work environments, as articulated in the United Nations Sustainable Development Goal 8 (SDG 8: Decent Work and Economic Growth). If authentic leadership consistently fosters work engagement across diverse organizational contexts, then leadership development programs targeting authenticity may serve as a scalable mechanism for advancing SDG 8 targets, particularly in emerging economies where both engaged workforces and effective leadership remain critical development priorities.</p>
            <p>
                <xref ref-type="fig" rid="f1">
Figure 1</xref> presents the integrated research model guiding this investigation. The model positions authentic leadership as the antecedent and work engagement as the central psychological outcome, with mediating mechanisms explaining the pathway between them. The model further extends to distal organizational outcomes and incorporates four contextual moderators: cultural power distance, industry type, organizational sector, and country classification.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>
Figure 1. </label>
                <caption>
                    <title>An integrated research model in this study.</title>
                    <p>An integrated research model is used in this study. Authentic leadership is the antecedent and work engagement is the central psychological outcome. Several mediating mechanisms were identified in the pathway between them and the organizational outcomes. The four contextual moderators are cultural power distance, industry type, organizational sector, and country classification.</p>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/199216/58835d85-108b-4ee8-9640-5f95f42d01a2_figure1.gif"/>
            </fig>
        </sec>
        <sec id="sec6">
            <title>2. Theoretical background and hypothesis development</title>
            <sec id="sec7">
                <title>2.1 Authentic leadership</title>
                <p>Authentic leadership comprises four interrelated dimensions: self-awareness, relational transparency, balanced processing, and an internalized moral perspective (
                    <xref ref-type="bibr" rid="ref49">Walumbwa et al., 2008</xref>). Self-awareness refers to leaders&#x2019; understanding of their own strengths, weaknesses, and the way they derive meaning from the world (
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref49">Walumbwa et al., 2008</xref>). Balanced processing describes the objective analysis of relevant data prior to decision-making (
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref49">Walumbwa et al., 2008</xref>). Relational transparency involves openly sharing one&#x2019;s thoughts and feelings, thereby fostering trust within leader&#x2013;follower dyads (
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref49">Walumbwa et al., 2008</xref>). The internalized moral perspective reflects decision-making and behavior guided by internal ethical standards rather than external pressures (
                    <xref ref-type="bibr" rid="ref3">Almutairi et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref40">Sigaeva et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>). These four dimensions collectively distinguish authentic leadership from related constructs such as transformational and servant leadership, as they emphasize the leader&#x2019;s psychological integrity rather than specific behavioral repertoires (
                    <xref ref-type="bibr" rid="ref43">Srimongkolkul et al., 2025</xref>). Empirical evidence confirms that these genuine behaviors foster trust in leadership, which in turn enhances employee well-being and engagement (
                    <xref ref-type="bibr" rid="ref8">Baquero, 2023</xref>). Leaders who exhibit this style are particularly well-suited to cultivating a positive organizational climate, a factor increasingly recognized as essential for navigating the dynamic post-pandemic working environment (
                    <xref ref-type="bibr" rid="ref18">Khan et al., 2021</xref>; 
                    <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>).</p>
            </sec>
            <sec id="sec8">
                <title>2.2 Work engagement</title>
                <p>Work engagement is defined as &#x201c;a positive, fulfilling, work-related state of mind that is characterized by vigor, dedication, and absorption&#x201d; (
                    <xref ref-type="bibr" rid="ref38">Schaufeli et al., 2002</xref>). Vigor reflects high levels of energy and mental resilience while working, along with a willingness to invest effort and persist in the face of difficulties (
                    <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>; 
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref38">Schaufeli et al., 2002</xref>). Dedication refers to a sense of significance, enthusiasm, pride, and challenge derived from one&#x2019;s work (
                    <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>; 
                    <xref ref-type="bibr" rid="ref38">Schaufeli et al., 2002</xref>). Absorption denotes a state of being fully concentrated and engrossed in one&#x2019;s tasks (
                    <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>; 
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>). Engaged employees are more likely to exhibit creative problem-solving, innovative work behavior, and reduced turnover intentions, outcomes that enhance organizational competitive advantage (
                    <xref ref-type="bibr" rid="ref2">Aldabbas et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref4">Arokiasamy et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref39">Shao et al., 2025</xref>). Given these outcomes, understanding the antecedent conditions that foster engagement remains a central concern in organizational behavior research.</p>
            </sec>
            <sec id="sec9">
                <title>2.3 Theoretical framework</title>
                <p>The relationship between authentic leadership and work engagement can be explained by integrating two complementary theoretical perspectives: the JD-R model and SET (
                    <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref28">Li et al., 2025</xref>).</p>
                <p>The JD-R model distinguishes between job demands, aspects of work that require sustained physical or psychological effort, such as time pressure and workload, and job resources, aspects that facilitate goal achievement, reduce demands, and stimulate personal growth, such as autonomy, social support, and leadership (
                    <xref ref-type="bibr" rid="ref28">Li et al., 2025</xref>; 
                    <xref ref-type="bibr" rid="ref33">Niswaty et al., 2021</xref>; 
                    <xref ref-type="bibr" rid="ref37">Pulido-Martos et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>). Within this framework, authentic leadership operates as a critical job resource: leaders who demonstrate transparency and balanced processing reduce uncertainty and role ambiguity, thereby lowering psychological demands while simultaneously fostering the conditions for intrinsic motivation and engagement (
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>).</p>
                <p>SET complements this motivational perspective with a relational lens. The theory posits that social interactions within organizations are governed by norms of reciprocity (
                    <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref18">Khan et al., 2021</xref>). When leaders demonstrate fairness, transparency, and moral integrity, followers perceive these behaviors as high-quality social investments. This perception generates a felt obligation to reciprocate through heightened dedication, vigor, and absorption, the core dimensions of work engagement (
                    <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>). The reciprocity dynamic is particularly relevant because it explains why authentic leadership effects may extend beyond the instrumental provision of resources to encompass relational trust and affective commitment (
                    <xref ref-type="bibr" rid="ref31">Lux et al., 2023</xref>).</p>
                <p>Together, the JD-R model and SET provide a comprehensive framework: the JD-R model explains how authentic leadership activates engagement through resource provision, while SET explains why followers respond to such leadership with enhanced engagement through relational reciprocity. This integrative lens underpins the hypotheses developed below.</p>
            </sec>
            <sec id="sec10">
                <title>2.4 Hypothesis development</title>
                <p>

                    <bold>2.4.1 Main effect hypothesis</bold>
                </p>
                <p>Building on the theoretical integration outlined above, the first hypothesis concerns the overall direction and significance of the authentic leadership&#x2013;work engagement relationship. Empirical studies published between 2020 and 2025 have consistently reported a positive association between the two constructs, although the magnitude of the association varies across samples. In the Russian hospitality sector, 
                    <xref ref-type="bibr" rid="ref40">Sigaeva et al. (2022)</xref> found that authentic leaders substantially augment the psychological capital of Generation Z employees, thereby fostering engagement. 
                    <xref ref-type="bibr" rid="ref39">Shao et al. (2025)</xref> demonstrated that authentic leadership enhances teacher engagement in China by fostering a supportive school environment. Research conducted in high-context cultures, including Indonesia and Pakistan, has confirmed that authentic leaders promote trust and well-being, which serve as preconditions for engagement (
                    <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref33">Niswaty et al., 2021</xref>). This consistency is observed across geographically diverse contexts, from South Africa (
                    <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>) to Spain (
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>), Portugal (
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>), and Uruguay (
                    <xref ref-type="bibr" rid="ref10">Cozzo Cabrera et al., 2025</xref>). Accordingly, the following hypothesis is proposed:
                    <statement id="state1">
                        <label>H1:</label>
                        <p>Authentic leadership is significantly and positively correlated with work engagement in post-pandemic organizational contexts.</p>
                    </statement>
                </p>
                <p>

                    <bold>2.4.2 Contextual moderators</bold>
                </p>
                <p>While the overall relationship between authentic leadership and work engagement is expected to be positive, the magnitude of this effect may not be uniform across all settings (
                    <xref ref-type="bibr" rid="ref7">Bai et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref32">Macamo &amp; Klasmeier, 2024</xref>). The substantial variation observed among studies conducted in emerging economies suggests that authentic leadership effects may be moderated by contextual boundary conditions (
                    <xref ref-type="bibr" rid="ref33">Niswaty et al., 2021</xref>). This study examines four moderators derived from theoretical reasoning and empirical observations. Although theoretical arguments can be advanced for specific directional expectations, as elaborated for each moderator below, the limited and sometimes contradictory empirical evidence across post-pandemic studies, combined with the exploratory nature of cross-cultural moderation testing with a relatively small number of studies, warrants non-directional hypothesis formulation (
                    <xref ref-type="bibr" rid="ref15">Hansen et al., 2022</xref>). The following four moderation hypotheses are therefore stated in non-directional
 form.</p>
                <p>Hofstede&#x2019;s cultural dimensions framework provides a theoretical basis for expecting cross-cultural variation. In high power distance cultures, characteristic of many Asian, Middle Eastern, and Eastern European societies, leaders are traditionally perceived as hierarchically distant. In such contexts, authentic leader behaviors, such as relational transparency and balanced processing, constitute a comparatively rare and valuable organizational resource. From a SET perspective, the openness displayed by authentic leaders in high power distance cultures may generate a deeper sense of trust and psychological safety than in low power distance or individualistic contexts, where such behaviors are more normatively expected. The resulting obligation to reciprocate with engagement may therefore be stronger in high power-distance environments (
                    <xref ref-type="bibr" rid="ref6">Assi et al., 2024</xref>; 
                    <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>). Conversely, in low power-distance or individualistic cultures, authentic leadership may primarily serve as a motivational job resource that facilitates autonomy and work meaningfulness, thereby enhancing intrinsic motivation through the JD-R pathway (
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref52">Zheng et al., 2025</xref>). This cross-cultural differentiation suggests that although the direction of the authentic leadership and engagement relationship is expected to be consistently positive, its strength may vary systematically across cultural contexts. Accordingly:
                    <statement id="state2">
                        <label>H2a:</label>
                        <p>The strength of the correlation between authentic leadership and work engagement varies significantly across different cultural power distance contexts.</p>
                    </statement>
                </p>
                <p>The JD-R model provides a basis for anticipating industry-based moderation. Different industries impose distinct job demands and therefore require specific investments in resources. In high-stress or human-service industries, such as healthcare, education, and hospitality, employees are subjected to considerable emotional labor and psychological strain. In these settings, authentic leadership may be particularly effective as a protective resource against burnout by establishing ethical boundaries and providing emotional support. Empirical evidence from the Russian hospitality industry (
                    <xref ref-type="bibr" rid="ref40">Sigaeva et al., 2022</xref>) and the Chinese education system (
                    <xref ref-type="bibr" rid="ref39">Shao et al., 2025</xref>) demonstrates that authentic leadership significantly enhances follower psychological capital in such contexts. In contrast, in more technically oriented corporate sectors, authentic leadership&#x2019;s influence may primarily operate through role clarity and objective decision-making processes rather than emotional support. Given that authentic leadership emphasizes holistic human development, its engagement-enhancing effects are expected to be most pronounced in industries that rely heavily on human interaction and psychological resilience. Therefore:

                    <statement id="state3">
                        <label>H2b:</label>
                        <p>The strength of the correlation between authentic leadership and work engagement varies significantly across industry types.</p>
                    </statement>
                </p>
                <p>Public and private sector organizations operate under different governance structures and normative frameworks, which may shape how authentic leadership influences engagement. Public sector employees frequently operate within bureaucratic systems characterized by rules and procedural constraints that can limit individual autonomy. In this environment, authentic leaders may generate engagement by creating psychological safety and fostering openness within otherwise rigid organizational structures. In the private sector, which is generally more market-oriented and performance-driven, authentic leadership may operate as a strategic resource for fostering innovation and high-quality social exchange relationships that encourage employees to invest fully in their roles. While both sectors stand to benefit from authentic leadership, the differing levels of organizational control and reward systems suggest variability in the magnitude of the leadership-engagement nexus. Accordingly:
                    <statement id="state4">
                        <label>H2c:</label>
                        <p>The strength of the correlation between authentic leadership and work engagement varies significantly between organizational sectors.</p>
                    </statement>
                </p>
                <p>The effectiveness of authentic leadership in fostering work engagement may also vary across different economic development contexts. Organizations in emerging and developed economies operate within fundamentally different institutional frameworks. Emerging economies are generally characterized by weaker regulatory stability, greater economic uncertainty, less formalized labor markets, and developing governance structures, whereas developed economies feature stronger institutional frameworks, more stable economic conditions, and well-established organizational support systems. From a SET perspective, the reciprocity dynamic underlying the authentic leadership-work engagement relationship may be more pronounced in emerging economies, where authentic leadership is a comparatively scarce yet highly valued organizational resource. Employees who perceive their leaders as genuinely authentic in environments where such leadership is less institutionally guaranteed may respond with proportionally stronger engagement as a form of reciprocation. Therefore:

                    <statement id="state5">
                        <label>H2d:</label>
                        <p>The strength of the correlation between authentic leadership and work engagement varies significantly between emerging markets and developed countries.</p>
                    </statement>
                </p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="methods">
            <title>3. Methods</title>
            <sec id="sec12">
                <title>3.1 Research design and search strategy</title>
                <p>This study employed a systematic review and meta-analysis approach in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 framework (
                    <xref ref-type="bibr" rid="ref34">Page et al., 2021</xref>). The process comprised three sequential phases: systematic literature searching, screening and selection based on predefined criteria, and quantitative synthesis via meta-analysis.</p>
                <p>The literature search was conducted on March 6
                    <sup>th</sup>, 2026, across four databases: SCOPUS, Web of Science, Wiley Online, and APA PsycNet. The following keyword combination was applied across all databases: (&#x201c;Authentic leadership&#x201d;) AND ((&#x201c;employee&#x201d; OR &#x201c;work&#x201d;) AND &#x201c;engagement&#x201d;). To enhance the precision of the search results, the following filter criteria were applied: (1) year of publication: 2020&#x2013;2025; (2) document type: article; (3) publication stage: final; (4) source type: journal; (5) language: English; and (6) access type: open access. The open-access restriction was applied to ensure full-text accessibility for both reviewers during the screening process and for readers seeking to verify or replicate the systematic search. This decision aligns with emerging meta-analytic practice that prioritizes transparency and reproducibility (
                    <xref ref-type="bibr" rid="ref34">Page et al., 2021</xref>). However, it is acknowledged that this filter may have excluded relevant studies published in subscription-based journals, and the implications of this restriction for the representativeness of the evidence base are discussed in the limitations section (Section 5.7).</p>
                <p>The 2020&#x2013;2025 publication window was selected to capture the body of empirical research produced during and in the aftermath of the COVID-19 pandemic, which fundamentally reshaped organizational contexts and leadership dynamics worldwide (
                    <xref ref-type="bibr" rid="ref13">Farid et al., 2022</xref>). It should be noted that this criterion reflects publication year rather than the timing of data collection. Some studies published in 2020 or 2021 may have collected data prior to or during the early stages of the pandemic. As such, the term &#x2018;post-pandemic&#x2019; is used throughout this manuscript to refer to the period of scholarly production rather than to assert that all primary data were collected under post-pandemic conditions.</p>
            </sec>
            <sec id="sec13">
                <title>3.2 Inclusion and exclusion criteria</title>
                <p>A screening protocol was developed to select studies suitable for quantitative synthesis. Studies were included if they met the following criteria: (1) published in a peer-reviewed journal; (2) examined a direct empirical relationship between authentic leadership and work engagement; and (3) reported the Pearson correlation coefficient (
                    <italic toggle="yes">r</italic>) explicitly. The requirement for bivariate Pearson correlations was imposed to maintain consistency in effect size estimation. As noted by 
                    <xref ref-type="bibr" rid="ref36">Paul and Barari (2022)</xref>, pooling correlation coefficients with regression-derived beta (
                    <italic toggle="yes">&#x03b2;</italic>) values introduces estimation bias because regression coefficients are subject to multicollinearity and model specification, rendering them non-comparable as bivariate effect sizes (
                    <xref ref-type="bibr" rid="ref50">Xiao, 2024</xref>). Studies were therefore excluded if they: (1) were not peer-reviewed (e.g., conference proceedings, book chapters, dissertations); (2) utilized qualitative or theoretical methods without empirical data; or (3) reported only regression coefficients (
                    <italic toggle="yes">&#x03b2;</italic>) without an accompanying correlation matrix.</p>
            </sec>
            <sec id="sec14">
                <title>3.3 Study selection process</title>
                <p>Two independent reviewers screened all records at the title/abstract and full-text stages. Any disagreements were resolved through discussion until consensus was achieved. The PRISMA 2020 flow diagram (
                    <xref ref-type="fig" rid="f2">
Figure 2</xref>; also available in 
                    <xref ref-type="bibr" rid="ref22">Kristanto, S. D. (2026a)</xref>) illustrates the step-by-step selection process. The initial database search identified 1,298 records. Prior to screening, 992 records were removed as ineligible based on the applied filter criteria (document type, open access, source type, and language), and 32 duplicate records were removed across databases. The remaining 274 records were screened for relevance by title and abstract. All 274 records proceeded to the retrieval stage; however, three reports could not be retrieved, leaving 271 reports for full-text eligibility assessment.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>PRISMA 2020 Flow used in this study.</title>
                        <p>Step by step, following PRISMA 2020, until 19 studies have been identified.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/199216/58835d85-108b-4ee8-9640-5f95f42d01a2_figure2.gif"/>
                </fig>
                <p>After a detailed full-text assessment, 252 reports were excluded for the following reasons: lack of relevance to the authentic leadership-work engagement relationship (n&#x00a0;=&#x00a0;191), qualitative or theoretical design without empirical data (n&#x00a0;=&#x00a0;51), and absence of Pearson correlation values (n&#x00a0;=&#x00a0;10). This systematic process yielded a final set of 19 studies (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;19) included in the meta-analysis, representing a total sample size of 6,916 participants across 12 countries spanning Asia (China, Indonesia, Jordan, Malaysia, Pakistan), Australasia (Australia), Europe (Germany, Portugal, Russia, Spain), South America (Uruguay), and Africa (South Africa). The characteristics of the 19 included studies, including titles, authors, publication year, journal name, publisher, country, sector/industry, sample size, and reported correlation value, are summarized in 
                    <xref ref-type="table" rid="T1">
Table 1</xref>.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Characteristics of the 19 included studies.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">No</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Titles</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Author(s) &amp; Year</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Journal Name</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Publisher</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Country</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sector / Industry</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sample Size (
                                    <italic toggle="yes">N</italic>)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Correlation (
                                    <italic toggle="yes">r</italic>)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Linking authentic leadership and management capability to public hospital performance: the role of work engagement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref1">Aboramadan et al. (2021)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">International Journal of Organizational Analysis</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerald Publishing Limited</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Jordan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Healthcare (Public Hospitals)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">380</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.35</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Nurse Managers Authentic Leadership and their Relationship with Work Engagement among Registered Nurses</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref6">Assi et al. (2024)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Nursing Forum</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">John Wiley &amp; Sons Ltd</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Jordan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Healthcare (Public Hospitals)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">238</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.37</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">The Impact of Authentic Leadership on Innovative Work Behavior: Mediating Roles of Proactive Personality and Employee Engagement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref7">Bai et al. (2022)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Frontiers in Psychology</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Frontiers Media S.A.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Manufacturing (High-tech)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">311</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.26</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Leadership aspirations: The roles of authentic leadership and work engagement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref10">Cozzo Cabrera et al. (2025)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Revista Latinoamericana de Psicolog&#x00ed;a</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Fundaci&#x00f3;n Universitaria Konrad Lorenz</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Uruguay</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Military</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">320</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.45</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x201c;Doing good and feeling good&#x201d; Relationship between authentic leadership with followers&#x2019; work engagement: The mediating role of hedonic and eudaimonic wellbeing</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref13">Farid et al. (2022)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Frontiers in Public Health</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Frontiers Media S.A.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pakistan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Telecommunication</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">250</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.42</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Unwrapping Software Projects Success in Asia: Assessing the Role Of Authentic Leadership, Psychological Empowerment, and Job Engagement in Project Success Using a Serial-Mediation Approach</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref19">Khattak et al. (2022)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">SAGE Open</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">SAGE</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pakistan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Software Industry</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">343</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.5</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Authentic leadership and employee engagement: The role of employee well-being
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref21">Koon &amp; Ho (2021)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Human Systems Management</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">IOS Press</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Malaysia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Service (SMEs)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.75</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Initiative in Work Teams: Lever between Authentic Leadership and Results</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref29">Lisbona et al. (2021)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">International Journal of Environmental Research and Public Health</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MDPI</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Various (SME and Large)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">310</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Vigor at work mediates the effect of transformational and authentic leadership on engagement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al. (2022)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Scientific Reports</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Nature Portfolio (Springer Nature)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Various (Private &amp; Public)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">215</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.34</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Reframing commitment in authentic leadership: Untangling relationship-outcome processes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref31">Lux et al. (2023)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Journal of Management &amp; Organization</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cambridge University Press</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Australia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Various</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">281</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.38</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Authentic leadership - for better and for worse? Leader well-being and inconsistency as moderating factors in the relation between daily authentic leadership and follower well-being
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref32">Macamo &amp; Klasmeier (2024)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">European Journal of Work and Organizational Psychology</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Routledge (Taylor &amp; Francis Group)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Germany</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Various (Industry, Finance, etc.)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">161</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.31</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Investigating the effect of authentic leadership and employees&#x2019; psychological capital on work engagement: evidence from Indonesia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref33">Niswaty et al. (2021)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Heliyon</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Elsevier Ltd</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Indonesia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public Service</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">192</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.39</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Authentic leadership and personal and job demands/resources: A person-centered approach and links with work-related subjective well-being
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref37">Pulido-Martos et al. (2023)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Current Psychology</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Springer</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Various (Public and Private Sector)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">968</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.3</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">The impact of authentic leadership on the work engagement of primary and secondary school teachers: The serial mediation role of school climate and teacher efficacy</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref39">Shao et al. (2025)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">PLoS One</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public Library of Science (PLOS)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Education</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,043</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.3</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">In Search of Effective Gen Z Engagement in the Hospitality Industry: Revisiting Issues of Servant and Authentic Leadership</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref40">Sigaeva et al. (2022)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Sustainability</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MDPI</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Russia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Hospitality</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">393</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.28</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">How Does Authentic Leadership Boost Work Engagement? Exploring the Mediating Role of Work Meaningfulness and Work-Family Enrichment</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref41">Silva et al. (2023)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Administrative Sciences</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">MDPI</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Portugal</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Various (Service, etc.)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">292</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">The Relationship Between Authentic Leadership, Psychological Empowerment, Role Clarity, and Work Engagement: Evidence From South Africa</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref45">Towsen et al. (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Frontiers in Psychology</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Frontiers Media S.A.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">South Africa</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mining (Coal)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">236</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.49</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mediating effect of perceived organisational support on authentic leadership and work engagement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref48">Vermeulen &amp; Scheepers (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">SA Journal of Human Resource Management</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">AOSIS</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">South Africa</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Information Technology</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">162</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="middle">19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Relationship between work engagement and healthy work environment among Chinese ICU nurses: The mediating role of psychological capital</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref51">Xue et al. (2023)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Nursing Open</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">John Wiley &amp; Sons Ltd</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Healthcare</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">671</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.34</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Full list of the 19 included studies, including titles, authors, publication year, journal name, publisher, country, sector/industry, sample size, and reported correlation value.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec15">
                <title>3.4 Quality assessment</title>
                <p>The methodological quality of the 19 included studies was evaluated using the Mixed Methods Appraisal Tool (MMAT) version 2018 (
                    <xref ref-type="bibr" rid="ref17">Hong et al., 2018</xref>). This tool was selected for its ability to appraise diverse study designs, including quantitative and mixed-methods research. Following the MMAT protocol, each study was first screened against two prerequisite questions regarding the clarity of research objectives and the adequacy of the data to address them. The 18 quantitative studies were subsequently assessed using the Quantitative Non-Randomized category (Section 3 of the MMAT), which evaluates five criteria: sampling representativeness, measurement validity, data completeness, control for confounding variables, and appropriate exposure measurement. One mixed-methods study was further assessed using the Mixed Methods category (Section 5 of the MMAT) to evaluate the rationale for integration and coherence between qualitative and quantitative components.</p>
                <p>Quality assessment was performed independently by two reviewers. Any discrepancies in appraisal scores were resolved through discussion until a consensus was reached. Following MMAT guidelines, studies were not excluded based on quality scores; instead, the assessment was used to inform the discussion regarding the strength of the evidence linking authentic leadership to work engagement.</p>
            </sec>
            <sec id="sec16">
                <title>3.5 Data analysis</title>
                <p>The meta-analysis was conducted using JASP software (Version 0.96.0) to calculate effect sizes and generate graphical outputs (
                    <xref ref-type="bibr" rid="ref5">Ashour, 2024</xref>). A random-effects model with the Restricted Maximum Likelihood (REML) estimation method was employed to account for anticipated heterogeneity across industries and cultural contexts (
                    <xref ref-type="bibr" rid="ref35">Partlett &amp; Riley, 2017</xref>). All reported Pearson correlation coefficients (
                    <italic toggle="yes">r</italic>) were first transformed to Fisher&#x2019;s 
                    <italic toggle="yes">z</italic> scale for analysis and subsequently back-transformed to 
                    <italic toggle="yes">r</italic> for reporting purposes (
                    <xref ref-type="bibr" rid="ref50">Xiao, 2024</xref>). The magnitude of pooled effect sizes was interpreted using Cohen&#x2019;s conventional benchmarks: small (r&#x00a0;&lt;&#x00a0;0.30), medium (0.30&#x00a0;&#x2264;&#x00a0;r&#x00a0;&lt;&#x00a0;0.50), and large (r&#x00a0;&#x2265;&#x00a0;0.50) (
                    <xref ref-type="bibr" rid="ref9">Cohen, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref50">Xiao, 2024</xref>). To provide contextual anchoring beyond these generic thresholds, the pooled estimate was additionally evaluated against the most recent comparable meta-analysis on authentic leadership and work engagement (
                    <xref ref-type="bibr" rid="ref11">Decuypere &amp; Schaufeli, 2021</xref>).</p>
                <p>Heterogeneity across studies was evaluated using Cochran&#x2019;s 
                    <italic toggle="yes">Q</italic>-statistic and the 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic> index, with 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic> values exceeding 75% indicating substantial heterogeneity (
                    <xref ref-type="bibr" rid="ref50">Xiao, 2024</xref>). The robustness of the pooled estimate was assessed using 95% Confidence Intervals (
                    <italic toggle="yes">CI</italic>) and 95% Prediction Intervals (
                    <italic toggle="yes">PI</italic>). Publication bias was evaluated through Funnel Plot visual inspection, Egger&#x2019;s weighted regression test, and Rosenthal&#x2019;s Fail-Safe N. In sensitivity analysis, the Baujat plot was employed to identify individual study contributions to overall heterogeneity and their influence on the pooled effect size estimate. This study was conducted according to the PRISMA guidelines available in Kristanto, S. D. (2026e) and Kristanto, S. D. (2026f
), and all software code is available in the Zenodo repository: Kristanto, S. D. (2026d).</p>
            </sec>
            <sec id="sec17">
                <title>3.6 Moderation analysis</title>
                <p>Categorical subgroup analyses were conducted to test the moderation hypotheses (H2a&#x2013;H2d). Four moderator variables were operationalized as follows, with study-level classifications summarized in 
                    <xref ref-type="table" rid="T2">
Table 2</xref>. Cultural power distance (H2a): Each study was classified as high or low power distance based on the Hofstede Power Distance Index (PDI) score of the study&#x2019;s country of origin (
                    <xref ref-type="bibr" rid="ref16">Hofstede, 2001</xref>). A threshold of PDI&#x00a0;=&#x00a0;50 was employed, consistent with the median split approach commonly used in other studies, where PDI&#x00a0;&gt;&#x00a0;50&#x00a0;=&#x00a0;high power distance and PDI&#x00a0;&#x2264;&#x00a0;50&#x00a0;=&#x00a0;low power distance (
                    <xref ref-type="bibr" rid="ref46">Ulmer et al., 2018</xref>). This yielded 15 studies in the high-power-distance category and 4 in the low-power-distance category. It is acknowledged that one country (South Africa, PDI&#x00a0;=&#x00a0;49) falls at the boundary of this classification; the implications of this borderline case are considered in the limitations section.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Subgroup categories in meta-analysis.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">No</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Author &amp; Year</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Country</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Country Classification</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Country Power Distance Score</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Culture 
(Power Distance)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Industry Type</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sector</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sample Size (N)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Correlation (r)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref1">

                                        <bold>Aboramadan et al. (2021)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Jordan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">70</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High-stress
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">380</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.35</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref6">

                                        <bold>Assi et al. (2024)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Jordan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">70</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High-stress
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">238</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.37</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref7">

                                        <bold>Bai et al. (2022)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">311</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.26</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref10">

                                        <bold>Cozzo Cabrera et al. (2025)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Uruguay</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High-stress
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">320</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.45</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref13">

                                        <bold>Farid et al. (2022)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pakistan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">250</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.42</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref19">

                                        <bold>Khattak et al. (2022)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pakistan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">343</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.5</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref21">

                                        <bold>Koon &amp; Ho (2021)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Malaysia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">104</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.75</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref29">

                                        <bold>Lisbona et al. (2021)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Developed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">310</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref30">

                                        <bold>Lopez-Zafra et al. (2022)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Developed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">215</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.34</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref31">

                                        <bold>Lux et al. (2023)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Australia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Developed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">281</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.38</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref32">

                                        <bold>Macamo &amp; Klasmeier (2024)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Germany</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Developed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">35</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">161</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.31</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref33">

                                        <bold>Niswaty et al. (2021)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Indonesia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">78</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">192</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.39</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref37">

                                        <bold>Pulido-Martos et al. (2023)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Developed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">968</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.3</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref39">

                                        <bold>Shao et al. (2025)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1043</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.3</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref40">

                                        <bold>Sigaeva et al. (2022)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Russia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">93</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High-stress
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">393</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.28</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref41">

                                        <bold>Silva et al. (2023)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Portugal</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Developed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">63</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">292</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref45">

                                        <bold>Towsen et al. (2020)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">South Africa</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High-stress
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">236</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.49</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref48">

                                        <bold>Vermeulen &amp; Scheepers (2020)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">South Africa</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Corporate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Private</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">162</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="bottom">19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="bibr" rid="ref51">

                                        <bold>Xue et al. (2023)</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emerging</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High-stress
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Public</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">671</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.34</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Characteristics of 19 studies and subgroup analysis (cultural power, industry type, sector and country classification)</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Industry type (H2b): Studies were categorized into three groups based on the primary occupational demands reported in each study, following the theoretical rationale outlined in Section 2.4.2. High-stress industries included healthcare, hospitality, education, mining, and military; corporate industries included manufacturing, telecommunications, software, and information technology; mixed industries comprised studies sampling across multiple industry types. This classification yielded 6 high-stress, 8 corporate, and 5 mixed-industry studies. Organizational sector (H2c): Studies were classified as public, private, or mixed based on the organizational sector of their sample. This yielded 6 public, 9 private, and 4 mixed-sector studies. Country classification (H2d): Studies were categorized as emerging markets or developed countries based on established economic development indices (
                    <xref ref-type="bibr" rid="ref12">Divergences, 2023</xref>). This yielded 13 studies from emerging markets and 6 from developed countries.</p>
                <p>Each subgroup contained at least 4 studies, meeting the minimum recommended threshold for categorical subgroup analysis (
                    <xref ref-type="bibr" rid="ref14">Fu et al., 2011</xref>). However, due to the relatively small number of included studies and unbalanced subgroup sizes, the statistical power to detect moderating effects is limited. Simulation studies suggest that meta-analytic subgroup tests with fewer than 10 studies per group have low power to detect even moderate differences in effect sizes (
                    <xref ref-type="bibr" rid="ref47">Vembye et al., 2023</xref>). Accordingly, non-significant moderation results in this study should be interpreted as inconclusive rather than as evidence that moderation does not exist.</p>
                <p>Given the relatively small number of studies (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;19), the Knapp and Hartung adjustment was applied to all moderation analyses to obtain more conservative and reliable standard error estimates, thereby reducing the risk of Type I error (
                    <xref ref-type="bibr" rid="ref20">Knapp &amp; Hartung, 2003</xref>). Accordingly, moderation effects were evaluated using F-statistics (
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>) rather than the conventional 
                    <italic toggle="yes">Q
                        <sub>M</sub>
                    </italic> test. Effect size meta-regression coefficients were back-transformed from Fisher&#x2019;s 
                    <italic toggle="yes">z</italic> scale to 
                    <italic toggle="yes">r</italic> for reporting purposes. Selected articles and subgroup categories are uploaded in 
                    <xref ref-type="table" rid="T2">
Table 2</xref>. (also available in 
                    <xref ref-type="bibr" rid="ref23">Kristanto, S. D. (2026b)</xref> using Zenodo).</p>
            </sec>
            <sec id="sec18">
                <title>3.7 Narrative synthesis</title>
                <p>In addition to the quantitative meta-analysis, which focused on the direct bivariate relationship between authentic leadership and work engagement, a narrative synthesis examined the mediating mechanisms and organizational outcomes identified across the included studies, thereby addressing RQ4. Data relevant to mediating mechanisms and downstream organizational outcomes were extracted from each study during full-text assessment. For each study reporting a mediated model, the following information was recorded: the mediating variable(s), the theoretical framework invoked to justify the mediation pathway (JD-R model, SET, or both), the type of mediation reported (full, partial, or serial), and the country and industry context. Similarly, for studies examining outcomes beyond work engagement, the specific outcome variable, its operationalization, and the role of work engagement in the pathway were recorded.</p>
                <p>The extracted mechanisms were organized into thematic categories through an inductive process in which mediators were grouped based on their conceptual level of analysis: personal psychological resources, wellbeing constructs, relational and trust mechanisms, and organizational climate and contextual factors. Downstream outcomes were similarly categorized as organizational performance, work behavior, or leadership development outcomes. Evidence strength for each mechanism was assessed based on the number of independent replications: mechanisms examined in two or more independent studies were classified as having moderate evidence, while single-study mechanisms were classified as having preliminary evidence requiring replication.</p>
            </sec>
        </sec>
        <sec id="sec19" sec-type="results">
            <title>4. Results</title>
            <p>The quality assessment results for all 19 included studies using the MMAT 2018 are available in 
                <xref ref-type="bibr" rid="ref24">Kristanto, S. D. (2026c)</xref>. All studies passed the initial MMAT screening stage, confirming their foundational methodological integrity and suitability for further appraisal. Of the 19 studies, 14 (73.68%) were rated as high methodological quality and 5 (26.32%) as moderate quality; no study received a low-quality rating. The 18 purely quantitative studies were appraised using the MMAT Quantitative Non-Randomized category (Section 3), which evaluates sampling representativeness (criterion 3.1), measurement validity (criterion 3.2), data completeness (criterion 3.3), control for confounding variables (criterion 3.4), and appropriate exposure measurement (criterion 3.5). One mixed-methods study (
                <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>) was further evaluated using the Mixed Methods category (Section 5) to assess the rationale for integration and the coherence between qualitative and quantitative components. The majority of studies employed validated measurement instruments for both authentic leadership (e.g., the Authentic Leadership Questionnaire) and work engagement (e.g., the Utrecht Work Engagement Scale), reported complete outcome data, and applied appropriate statistical analyses to test their hypothesized models. Overall, the quality assessment supports the methodological integrity of the evidence base synthesized in this meta-analysis.</p>
            <sec id="sec20">
                <title>4.1 Heterogeneity analysis</title>
                <p>The heterogeneity analysis across the 19 studies revealed significant between-study variability. Cochran&#x2019;s Q-test was significant, 
                    <italic toggle="yes">Q</italic>(18)&#x00a0;=&#x00a0;109.87, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, and the 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic> statistic was 87.20%, classified as high heterogeneity. The between-study standard deviation was &#x03c4;&#x00a0;=&#x00a0;0.14 (95% 
                    <italic toggle="yes">CI</italic> [0.10, 0.23]). These results indicate that approximately 87.20% of the observed variance in effect sizes reflects true differences attributable to contextual factors, such as cultural, industrial, or methodological conditions, rather than sampling error alone. Accordingly, the use of a random-effects model with the REML estimator was confirmed as appropriate for this meta-analysis.</p>
            </sec>
            <sec id="sec21">
                <title>4.2 Main effect analysis</title>
                <p>The meta-analysis confirmed a significant and positive relationship between authentic leadership and work engagement, thereby supporting Hypothesis 1. The pooled correlation of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41 (95% 
                    <italic toggle="yes">CI</italic> [0.35, 0.47]) falls in the medium range according to Cohen&#x2019;s conventional benchmarks (
                    <xref ref-type="bibr" rid="ref9">Cohen, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref50">Xiao, 2024</xref>). Furthermore, the estimate is comparable to, and slightly larger than, the pre-pandemic pooled correlation of r&#x00a0;=&#x00a0;0.39 reported by 
                    <xref ref-type="bibr" rid="ref11">Decuypere and Schaufeli (2021)</xref>.</p>
                <p>Given that the 95% confidence interval does not cross zero, this relationship is statistically significant. The pooled effect test yielded 
                    <italic toggle="yes">t</italic>(18)&#x00a0;=&#x00a0;12.17, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, providing robust evidence that authentic leadership is positively associated with work engagement across post-pandemic organizational contexts. The 95% Prediction Interval ranged from 0.13 to 0.63, as depicted in the Forest Plot (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>). Importantly, the lower bound of the prediction interval remains positive, indicating that the authentic leadership&#x2013;work engagement relationship is expected to be positive even in future studies conducted under differing organizational conditions. Individual study effect sizes ranged from 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.26 (
                    <xref ref-type="bibr" rid="ref7">Bai et al., 2022</xref>) to 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.75 (
                    <xref ref-type="bibr" rid="ref21">Koon &amp; Ho, 2021</xref>), with all 19 studies reporting positive correlations.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Forest Plot.</title>
                        <p>Forest Plot of this meta-analysis study. The pooled effect size, r&#x00a0;=&#x00a0;0.41 (95% CI [0.35, 0.47]), indicates a medium-to-strong positive correlation.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/199216/58835d85-108b-4ee8-9640-5f95f42d01a2_figure3.gif"/>
                </fig>
            </sec>
            <sec id="sec22">
                <title>4.3 Publication bias analysis</title>
                <p>Publication bias was assessed using multiple complementary approaches. Visual inspection of the Funnel Plot (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>) revealed moderate asymmetry, with a concentration of studies on the right side (positive effect) of the pooled estimate. This asymmetry was confirmed statistically by the meta-regression asymmetry test (
                    <italic toggle="yes">z</italic>&#x00a0;=&#x00a0;2.63, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.009) and Egger&#x2019;s weighted regression test (
                    <italic toggle="yes">t</italic>&#x00a0;=&#x00a0;3.09, 
                    <italic toggle="yes">df</italic>&#x00a0;=&#x00a0;17, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.007), suggesting the potential presence of small-study effects or publication bias. However, the interpretation of this asymmetry requires caution, as Egger&#x2019;s test cannot definitively distinguish between asymmetry arising from publication bias and asymmetry attributable to genuine between-study heterogeneity (
                    <xref ref-type="bibr" rid="ref44">Sterne et al., 2011</xref>). Given the substantial heterogeneity observed in this meta-analysis (
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;87.20%), it is plausible that the asymmetry reflects contextual variation in true effect sizes rather than selective reporting. Nonetheless, the possibility of some degree of publication bias cannot be entirely ruled out. Rosenthal&#x2019;s Fail-Safe N indicated that 7,783 additional null studies would be required to reduce the pooled effect to non-significance, a value far exceeding the recommended threshold of 105 (5&#x00a0;
                    <italic toggle="yes">k</italic>&#x00a0;+&#x00a0;10). This result provides strong evidence that the overall finding is highly robust and unlikely to be an artifact of publication bias.</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>Funnel Plot.</title>
                        <p>The Funnel Plot shows moderate asymmetry, with most studies falling to the right of the pooled estimate.</p>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/199216/58835d85-108b-4ee8-9640-5f95f42d01a2_figure4.gif"/>
                </fig>
            </sec>
            <sec id="sec23">
                <title>4.4 Sensitivity analysis</title>
                <p>A diagnostic Baujat Plot (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>) was generated to identify individual study contributions to overall heterogeneity and their influence on the pooled effect size. The plot revealed that 18 of the 19 studies (94.74%) clustered near the origin, indicating low heterogeneity contribution and minimal influence on the pooled estimate. The study by 
                    <xref ref-type="bibr" rid="ref21">Koon and Ho (2021)</xref> was identified as an outlier, contributing disproportionately to both overall heterogeneity and influence on the pooled effect size.</p>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>
Figure 5. </label>
                    <caption>
                        <title>Baujat Plot.</title>
                        <p>The Baujat plot shows that 18 of the 19 studies are near the origin, and the study by 
                            <xref ref-type="bibr" rid="ref21">Koon and Ho (2021)</xref> was identified as an outlier.</p>
                    </caption>
                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/199216/58835d85-108b-4ee8-9640-5f95f42d01a2_figure5.gif"/>
                </fig>
                <p>To assess the impact of this outlier, the meta-analysis was re-executed excluding 
                    <xref ref-type="bibr" rid="ref21">Koon and Ho (2021)</xref>. The adjusted pooled effect based on 
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;18 studies remained statistically significant and positive: 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.39, 95% 
                    <italic toggle="yes">CI</italic> [0.34, 0.43], t(17)&#x00a0;=&#x00a0;17.09, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001. Heterogeneity decreased from 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;87.20% to 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;72.08%, though it remained substantial, 
                    <italic toggle="yes">Q</italic>(17)&#x00a0;=&#x00a0;60.15, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001. The 95% prediction interval narrowed to [0.22, 0.53], with a higher lower bound reflecting greater cross-contextual stability. Notably, the meta-regression asymmetry test became non-significant (
                    <italic toggle="yes">z</italic>&#x00a0;=&#x00a0;1.93, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.054), suggesting that the funnel plot asymmetry observed in the primary analysis was largely attributable to this single influential study rather than systematic publication bias. Egger&#x2019;s weighted regression test remained marginally significant (
                    <italic toggle="yes">t</italic>&#x00a0;=&#x00a0;2.68, 
                    <italic toggle="yes">df</italic>&#x00a0;=&#x00a0;16, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.016), indicating some residual asymmetry. Rosenthal&#x2019;s Fail-Safe N remained exceptionally large (
                    <italic toggle="yes">N</italic>&#x00a0;=&#x00a0;6,569), far exceeding the recommended tolerance level of 100.</p>
                <p>These results affirm that the positive association between authentic leadership and work engagement is robust and not contingent upon any single influential study. Accordingly, the primary meta-analysis was retained based on the full sample of 
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;19 studies, with the sensitivity analysis confirming the stability of the primary findings.</p>
            </sec>
            <sec id="sec24">
                <title>4.5 Moderation analysis</title>
                <p>Categorical subgroup analyses were conducted to test the moderation hypotheses (H2a&#x2013;H2d). All analyses applied the Knapp and Hartung adjustment to obtain more conservative estimates. Meta-regression coefficients and confidence intervals were back-transformed from the Fisher&#x2019;s 
                    <italic toggle="yes">z</italic> scale to 
                    <italic toggle="yes">r</italic> for reporting purposes. Results for each moderator are reported below.</p>
                <p>

                    <bold>4.5.1 Cultural power distance (H2a)</bold>
                </p>
                <p>Hypothesis 2a predicted that the strength of the authentic leadership&#x2013;work engagement correlation would vary significantly across high- and low-power-distance cultural contexts. The Omnibus Test of Moderators revealed that cultural power distance did not significantly explain heterogeneity in effect sizes, 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(1, 17)&#x00a0;=&#x00a0;0.06, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.81. The intercept, representing the high-power distance reference group, showed a significant effect size of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41 (
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001; 95% 
                    <italic toggle="yes">CI</italic> [0.33, 0.48]). The estimated pooled effect for low power distance cultures was 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.43, yielding a non-significant difference of 0.02 (95% 
                    <italic toggle="yes">CI</italic> [&#x2212;0.15, 0.16], 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.81). Substantial residual heterogeneity remained after including this moderator, 
                    <italic toggle="yes">Q
                        <sub>e</sub>
                    </italic>(17)&#x00a0;=&#x00a0;106.84, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;88.07%, confirming that cultural power distance does not account for the observed between-study variability. Hypothesis 2a is not supported.</p>
                <p>

                    <bold>4.5.2 Industry type (H2b)</bold>
                </p>
                <p>Hypothesis&#x2002;2b predicted that the relationship between authentic leadership and work engagement would differ significantly across different industry types (e.g., high-stress, corporate, or mixed). The Omnibus Test of Moderation results revealed that industry&#x2002;type did not moderate the relationship, 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic> (2, 16)&#x00a0;=&#x00a0;1.56, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.24, indicating that industry type did not significantly explain between-study variance in effect sizes. The Intercept (representing corporate type) revealed&#x2002;a large and very robust effect size of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.47 (
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, 95% 
                    <italic toggle="yes">CI</italic> [0.37, 0.55]). High-stress industries had estimated pooled effect of r&#x00a0;=&#x00a0;0.38, so the difference was &#x2212;0.09 (95% 
                    <italic toggle="yes">CI</italic> [&#x2212;0.25, 0.05], 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.20). The mixed industry estimate pooled effect 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.35, so the difference was &#x2212;0.12 (95% 
                    <italic toggle="yes">CI</italic> [&#x2212;0.28, 0.03], 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.13). Residual heterogeneity remained substantial, 
                    <italic toggle="yes">Q
                        <sub>e</sub>
                    </italic>(16)&#x00a0;=&#x00a0;86.02, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;85.75%, confirming that industry type does not meaningfully account for the observed between-study variability. Thus, H2b is not&#x2002;supported.</p>
                <p>

                    <bold>4.5.3 Organizational sector (H2c)</bold>
                </p>
                <p>Hypothesis 2c predicted that organizational sector (public, private, or mixed) would moderate the relationship. The Omnibus Test of Moderators revealed no significant moderation effect, 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(2, 16)&#x00a0;=&#x00a0;1.24, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.32. The intercept, representing the mixed sector, showed a significant effect size of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.37 (
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001; 95% 
                    <italic toggle="yes">CI</italic> [0.22, 0.50]). The private sector yielded an estimated pooled effect of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.46, with a non-significant difference of 0.09 (95% CI [&#x2212;0.08, 0.23]; 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.26), while the public sector yielded an estimated pooled effect of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.37, with a negligible and non-significant difference of &#x2212;0.00 (95% 
                    <italic toggle="yes">CI</italic> [&#x2212;0.20, 0.16]; 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.97). Notably, the public and mixed-sector effect sizes were nearly identical, suggesting comparable relationship strengths across these organizational contexts. Residual heterogeneity remained substantial, 
                    <italic toggle="yes">Q
                        <sub>e</sub>
                    </italic>(16)&#x00a0;=&#x00a0;93.32, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;86.15%. Hypothesis 2c is not supported.</p>
                <p>

                    <bold>4.5.4 Country classification (H2d)</bold>
                </p>
                <p>Hypothesis 2d predicted that the relationship would differ between emerging markets and developed countries. The Omnibus Test of Moderators showed no significant moderation, 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(1, 17)&#x00a0;=&#x00a0;0.21, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.65. The intercept, representing developed countries, showed a significant effect size of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.39 (
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001; 95% 
                    <italic toggle="yes">CI</italic> [0.27, 0.50]). The estimated pooled effect for emerging markets was 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.42, with a non-significant difference of 0.03 (95% 
                    <italic toggle="yes">CI</italic> [&#x2212;0.12, 0.16]; 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.65). Residual heterogeneity remained unchanged, 
                    <italic toggle="yes">Q
                        <sub>e</sub>
                    </italic>(17)&#x00a0;=&#x00a0;109.64, 
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001, 
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;87.56%. Hypothesis 2d is not supported.</p>
                <p>

                    <bold>4.5.5 Summary of moderation analyses</bold>
                </p>
                <p>None of the four tested moderators, cultural power distance, industry type, organizational sector, or country classification, significantly explained the between-study variance in the authentic leadership&#x2013;work engagement relationship. Despite the inclusion of these moderators, residual heterogeneity remained substantial (
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;&gt;&#x00a0;85% across all models), indicating that the observed between-study variability is driven by factors not captured in the current moderation framework. While these results are consistent with the possibility that authentic leadership functions as a broadly relevant antecedent of work engagement, the limited number of studies per subgroup (particularly 
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;4 for low power distance) constrains statistical power, and the null findings should be interpreted with caution rather than as confirmation of contextual invariance.</p>
            </sec>
            <sec id="sec25">
                <title>4.6 Narrative synthesis of mediating mechanisms</title>
                <p>The integrated research model (
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>) identifies several mediating pathways through which authentic leadership facilitates work engagement. Of the 19 included studies, 15 studies (78.95%) examined mediated models, indicating that authentic leadership predominantly operates through intermediary psychological and relational mechanisms rather than through a simple direct effect. Narrative synthesis organized into four thematic categories: personal psychological resources, wellbeing constructs, relational and trust mechanisms, and organizational climate and contextual factors.</p>
                <p>

                    <bold>4.6.1 Personal psychological resources</bold>
                </p>
                <p>Two personal psychological resources were identified as mediators of the relationship between authentic leadership and work engagement: psychological capital and psychological empowerment. Psychological capital (PsyCap), comprising hope, efficacy, resilience, and optimism, emerged as the most frequently examined mediator in the evidence base, tested in three independent studies across Indonesia (
                    <xref ref-type="bibr" rid="ref33">Niswaty et al., 2021</xref>), Russia (
                    <xref ref-type="bibr" rid="ref40">Sigaeva et al., 2022</xref>), and China (
                    <xref ref-type="bibr" rid="ref51">Xue et al., 2023</xref>). 
                    <xref ref-type="bibr" rid="ref51">Xue et al. (2023)</xref> found that PsyCap fully mediated the relationship between a healthy work environment, of which authentic leadership is a core dimension, and work engagement among 671 Chinese healthcare workers. 
                    <xref ref-type="bibr" rid="ref40">Sigaeva et al. (2022)</xref> reported partial mediation in their study of Generation Z employees in Russia&#x2019;s hospitality sector, while 
                    <xref ref-type="bibr" rid="ref33">Niswaty et al. (2021)</xref> similarly found partial mediation in Indonesia&#x2019;s public service context. The replication of PsyCap as a mediator across three emerging economies with high power distance cultures provides the strongest evidence among the tested mediators that authentic leaders enhance engagement by building followers&#x2019; personal psychological resources, consistent with the motivational pathway of the JD-R model.</p>
                <p>Psychological empowerment, comprising meaning, competence, self-determination, and impact (
                    <xref ref-type="bibr" rid="ref42">Spreitzer, 1995</xref>), was examined in two studies. 
                    <xref ref-type="bibr" rid="ref45">Towsen et al. (2020)</xref> demonstrated that authentic leaders in South African coal mining, through self-awareness and balanced processing, enable employees to perceive their roles as significant, thereby increasing vigor and dedication. 
                    <xref ref-type="bibr" rid="ref19">Khattak et al. (2022)</xref> found that psychological empowerment mediates the relationship between authentic leadership and project success in Pakistan&#x2019;s software industry, suggesting that authentic leaders create environments fostering both psychological safety and the autonomy required for empowerment. Both studies reported partial mediation, indicating that empowerment captures an important but not exhaustive portion of the authentic leadership and engagement pathway.</p>
                <p>

                    <bold>4.6.2 Wellbeing constructs</bold>
                </p>
                <p>Three wellbeing-related constructs were identified as mediating mechanisms, each examined in a single study. 
                    <xref ref-type="bibr" rid="ref13">Farid et al. (2022)</xref> reported a serial mediation pathway through hedonic wellbeing (pleasure, job satisfaction) and eudaimonic wellbeing (personal meaning, self-purpose) in Pakistan&#x2019;s telecommunications industry. This finding suggests that authentic leadership enhances engagement through a sequential process in which leaders first promote pleasure-based satisfaction, which in turn activates deeper meaning-based motivation. While this serial pathway is theoretically novel in integrating the hedonic and eudaimonic traditions, it requires replication to establish its robustness.</p>
                <p>
                    <xref ref-type="bibr" rid="ref21">Koon and Ho (2021)</xref> found that workplace wellbeing partially mediated the relationship between authentic leadership and engagement in Malaysian service SMEs, proposing that authentic leaders create wellbeing through just and fair practices. However, this finding should be interpreted cautiously given that this study was identified as an outlier in the meta-analysis (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.75) with the smallest sample size (
                    <italic toggle="yes">N</italic>&#x00a0;=&#x00a0;150) in the evidence base.</p>
                <p>
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al. (2022)</xref> demonstrated that vigor at work fully mediated the effect of authentic leadership on engagement among Spanish employees. While this finding supports the JD-R model&#x2019;s emphasis on energetic resources, it warrants careful theoretical scrutiny because vigor is also conceptualized as a core dimension of work engagement itself (
                    <xref ref-type="bibr" rid="ref38">Schaufeli et al., 2002</xref>) which raises questions about the mediator&#x2019;s conceptual independence from the outcome.</p>
                <p>

                    <bold>4.6.3 Relational and trust mechanisms</bold>
                </p>
                <p>Two relational mechanisms were identified, both grounded in Social Exchange Theory and each examined in a single study. 
                    <xref ref-type="bibr" rid="ref31">Lux et al. (2023)</xref> identified the most complex mediation model in the evidence base: a three-stage serial pathway from personal identification through affect-based trust to affective organizational commitment, which fully mediated the authentic leadership&#x2013;engagement relationship in an Australian sample across various industries. This sequential model suggests that authentic leaders first activate follower identification, which deepens into affective trust, which consolidates into organizational commitment before manifesting as engagement. While theoretically rich, the model&#x2019;s complexity necessitates replication to establish generalizability.</p>
                <p>
                    <xref ref-type="bibr" rid="ref48">Vermeulen and Scheepers (2020)</xref> found that perceived organizational support (POS) partially mediated the relationship in South Africa&#x2019;s IT sector. This mechanism operates at the organizational level of analysis, distinguishing it from the individual-level psychological resources identified in other studies. The finding suggests that authentic leadership enhances engagement partly by shaping employees&#x2019; perceptions that their organization values their contributions &#x2014; a reciprocity signal consistent with SET.</p>
                <p>

                    <bold>4.6.4 Organizational climate and contextual factors</bold>
                </p>
                <p>Three contextual or collective-level mechanisms were identified, each in a single study. 
                    <xref ref-type="bibr" rid="ref39">Shao et al. (2025)</xref>, in the largest study in the evidence base (
                    <italic toggle="yes">N</italic>&#x00a0;=&#x00a0;1,043), identified school climate and teacher efficacy as serial mediators between authentic leadership and teacher engagement in Chinese primary and secondary schools. This pathway suggests that authentic principals first shape a supportive school climate, which, in turn, enhances teachers&#x2019; belief in their professional capabilities, ultimately increasing engagement. While the large sample strengthens the internal validity of this finding, these mediators are specific to the education sector and may not generalize to other organizational contexts.</p>
                <p>
                    <xref ref-type="bibr" rid="ref29">Lisbona et al. (2021)</xref> demonstrated that team initiative, collective proactive behavior fostered through participative decision-making and psychological security, fully mediated the relationship between authentic leadership and engagement in Spanish organizations. This is the only team-level mediator in the evidence base, offering a distinct perspective on how authentic leadership operates through collective rather than individual psychological processes. (
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>) found that meaningful work and work&#x2013;family enrichment served as individual and serial mediators in Portuguese service organizations. This study uniquely extends the mediation framework to the work&#x2013;family interface, suggesting that authentic leaders promote engagement partly by enabling positive spillover from work to family life.</p>
                <p>

                    <bold>4.6.5 Summary of mediating mechanisms</bold>
                </p>
                <p>In sum, the mediating evidence reveals that authentic leadership influences work engagement through multiple channels spanning personal resources, wellbeing, relational trust, and organizational climate. This diversity of pathways is consistent with the proposition that authentic leadership functions simultaneously as a job resource (JD-R model) and a trigger for social exchange (SET). However, the evidence base for individual mechanisms remains thin: only psychological capital (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;3) and psychological empowerment (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;2) have been replicated across independent samples. The remaining eight mechanisms represent single-study findings that, while theoretically informative, require independent replication. Future research should prioritize testing competing mediation models within the same study to evaluate the relative explanatory power of different mechanisms, and employ longitudinal designs to establish temporal precedence among authentic leadership, mediating processes, and work engagement.</p>
            </sec>
            <sec id="sec26">
                <title>4.7 Narrative synthesis of organization outcomes</title>
                <p>The integrative framework posits that the authentic leadership and work engagement linkage extends beyond psychological states to tangible organizational outcomes. Four studies examined downstream outcomes and identified three categories: organizational performance, work behavior, and leadership development. The synthesis below follows the same categorical structure.</p>
                <p>Two studies linked the authentic leadership and work engagement pathway to organizational performance outcomes in different sectoral contexts. 
                    <xref ref-type="bibr" rid="ref1">Aboramadan et al. (2021)</xref> demonstrated that in Jordanian public hospitals, authentic leadership significantly predicted hospital performance, including quality of care and operational efficiency, with work engagement serving as a mediating pathway. This finding suggests that authentic leaders contribute to healthcare quality not merely by motivating individual staff, but by fostering the engaged workforce that drives institutional performance. (
                    <xref ref-type="bibr" rid="ref19">Khattak et al., 2022</xref>) found a parallel pattern in Pakistan&#x2019;s software industry, where authentic leadership was associated with project success, encompassing on-time delivery, quality, and stakeholder satisfaction, through the mediating roles of psychological empowerment and work engagement. Notably, this study reported the second-highest effect size in the evidence base (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.50), suggesting that the authentic leadership and engagement pathway may be particularly consequential for project-based outcomes where sustained focus and dedication are critical. While these two studies point to a meaningful performance pathway, both examined sector-specific outcomes (hospital performance, software project success) that may not directly generalize across industries.</p>
                <p>Second in work behavior, (
                    <xref ref-type="bibr" rid="ref7">Bai et al., 2022</xref>) provided evidence from China&#x2019;s high-tech manufacturing sector that authentic leadership predicts innovative work behavior, encompassing idea generation, promotion, and implementation, through the mediating role of work engagement. This finding suggests that engaged employees are more willing to move beyond formal job descriptions and take creative risks. In an increasingly dynamic post-pandemic environment in which organizations rely on innovation for competitive advantage, this pathway may hold strategic significance. However, this study reported the smallest effect size in the evidence base (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.26), and the finding remains limited to a single manufacturing context.</p>
                <p>Last in leadership development, (
                    <xref ref-type="bibr" rid="ref10">Cozzo Cabrera et al., 2025</xref>) identified a distinctive and strategically relevant outcome: in the Uruguayan military, authentic leadership influenced personnel&#x2019;s aspirations to assume future leadership roles, with work engagement mediating this relationship. This finding suggests that authentic leaders not only engage followers in their current tasks but also inspire commitment to future leadership development, supporting organizational succession planning and long-term sustainability. While the military context has institutional features, including formalized rank structures and career progression systems, that may limit generalizability to civilian organizations, the identification of leadership aspirations as a downstream outcome of engagement represents a unique contribution to the literature.</p>
                <p>Collectively, these findings indicate that work engagement should not be viewed merely as an isolated employee attitude but as a mechanism that translates authentic leader behaviors into broader organizational outcomes. However, it should be noted that each downstream outcome was examined in only a single study, and no outcome pathway has been independently replicated. The evidence for organizational outcomes downstream of the authentic leadership-work engagement relationship should therefore be regarded as preliminary and indicative, offering promising directions for future research rather than established conclusions.</p>
            </sec>
        </sec>
        <sec id="sec27" sec-type="discussion">
            <title>5. Discussion</title>
            <p>This meta-analysis synthesized recent empirical evidence on the relationship between authentic leadership and work engagement within the post-pandemic new normal (2020&#x2013;2025). By employing a rigorous methodological standard that included only bivariate Pearson correlation coefficients, this study (
                <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;19; 
                <italic toggle="yes">N</italic>&#x00a0;=&#x00a0;6,916) provides a precise and contemporary estimate of this critical organizational relationship. The discussion is structured around the four research questions guiding this study.</p>
            <sec id="sec28">
                <title>5.1 Main effect: authentic leadership and work engagement (RQ1)</title>
                <p>The meta-analysis yielded a significant and positive pooled correlation of 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41 (
                    <italic toggle="yes">p</italic>&#x00a0;&lt;&#x00a0;.001) between authentic leadership and work engagement, classified as a medium effect (
                    <xref ref-type="bibr" rid="ref9">Cohen, 2013</xref>). This finding confirms Hypothesis 1 and provides strong evidence that authentic leadership remains a robust antecedent of work engagement in contemporary organizational contexts. The pooled effect size is slightly stronger than that reported in a prior meta-analysis by 
                    <xref ref-type="bibr" rid="ref11">Decuypere and Schaufeli (2021)</xref>, who found 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.39 based on pre-pandemic data. This marginal increase suggests that the relevance of authentic leadership has not diminished and may have modestly strengthened in the wake of the global disruptions experienced between 2020 and 2022.</p>
                <p>The robustness of this finding is supported by multiple indicators. Rosenthal&#x2019;s Fail-Safe N of 7,783 exceeds the required threshold (5&#x00a0;
                    <italic toggle="yes">k</italic>&#x00a0;+&#x00a0;10&#x00a0;=&#x00a0;105) by a factor of approximately 74, providing exceptionally strong evidence that the positive association is not an artifact of selective publication (
                    <xref ref-type="bibr" rid="ref44">Sterne et al., 2011</xref>). Furthermore, the 95% Prediction Interval (0.13 to 0.63) indicates that future studies are very likely to find a positive correlation between authentic leadership and work engagement, regardless of context. Although Egger&#x2019;s weighted regression test indicated statistically significant funnel plot asymmetry (
                    <italic toggle="yes">t</italic>&#x00a0;=&#x00a0;3.09, 
                    <italic toggle="yes">df</italic>&#x00a0;=&#x00a0;17, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.007), this finding should be interpreted alongside the full suite of robustness checks (see also Section 4.3). The Baujat plot (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>) identified only 
                    <xref ref-type="bibr" rid="ref21">Koon and Ho (2021)</xref> as a notable outlier in terms of both heterogeneity contribution and influence on the pooled estimate, and the leave-one-out sensitivity analysis confirmed that the pooled effect remained significant and within the medium range after its exclusion. Taken together, these converging lines of evidence suggest that the overall finding is robust, although the possibility of some degree of publication bias cannot be entirely discounted.</p>
                <p>The consistency of this finding carries important theoretical implications. Across the 19 samples included in this synthesis, the positive relationship between authentic leadership and work engagement was observed without exception, with individual effect sizes ranging from 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.26 to 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.75. This pattern suggests that employees&#x2019; responsiveness to leaders who demonstrate openness, fairness, and moral integrity is robust across the range of organizational settings represented in the current evidence base. Authentic leadership appears to provide motivational energy that translates into the vigor, dedication, and absorption that characterize work engagement (
                    <xref ref-type="bibr" rid="ref6">Assi et al., 2024</xref>; 
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>), although the extent to which this relationship varies across contexts not well represented in the current sample remains an open question.</p>
            </sec>
            <sec id="sec29">
                <title>5.2 Contextual moderation (RQ2)</title>
                <p>Despite the high heterogeneity observed across the 19 studies (
                    <italic toggle="yes">I
                        <sup>2</sup>
                    </italic>&#x00a0;=&#x00a0;87.20%), with individual effect sizes ranging from 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.26 to 
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.75, the categorical subgroup analyses revealed that none of the four tested moderators significantly explained the between-study variance. This finding, while contrary to the hypothesized expectations (H2a&#x2013;H2d), carries substantial theoretical significance.</p>
                <p>The non-significant result for cultural power distance (H2a; 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(1, 17)&#x00a0;=&#x00a0;0.06, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.81) indicates that, within the current dataset, cultural power distance did not significantly account for between-study variation in the authentic leadership&#x2013;work engagement relationship. The estimated pooled effects for high-power distance (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41) and low-power distance (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.43) cultures were closely comparable. However, this finding should be interpreted cautiously: only four studies represented low-power distance cultures, substantially limiting statistical power to detect a moderation effect. Within these constraints, the results are consistent with the possibility that authentic leadership promotes engagement across different cultural contexts, though the degree to which the underlying mechanisms are culturally equivalent or operate through distinct pathways (e.g., reciprocity-based in high-PDI contexts vs. autonomy-based in low-PDI contexts) cannot be determined from the present data and warrants investigation in future research.</p>
                <p>The non-significant moderation by industry type (H2b; 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(2, 16)&#x00a0;=&#x00a0;1.56, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.24) suggests that, within the current evidence base, industry classification did not significantly account for differences in the authentic leadership&#x2013;work engagement relationship. Although estimated pooled effects were directionally higher in corporate settings (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.47) than in high-stress (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.38) or mixed (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.35) industries, these differences did not reach statistical significance. This pattern is broadly consistent with the JD-R model&#x2019;s proposition that authentic leadership functions as a fundamental job resource (
                    <xref ref-type="bibr" rid="ref30">Lopez-Zafra et al., 2022</xref>), although the observed directional trend warrants further investigation with larger samples to determine whether industry-specific demands may attenuate the leadership&#x2013;engagement association.</p>
                <p>Similarly, neither organizational sector (H2c; 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(2, 16)&#x00a0;=&#x00a0;1.24, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.32) nor country economic classification (H2d; 
                    <italic toggle="yes">F
                        <sub>M</sub>
                    </italic>(1, 17)&#x00a0;=&#x00a0;0.21, 
                    <italic toggle="yes">p</italic>&#x00a0;=&#x00a0;.65) significantly moderated the relationship. The positive association between authentic leadership and work engagement was observed across public, private, and mixed-sector organizations, and across both emerging markets and developed countries represented in the dataset. While these findings are consistent with the interpretation that authentic leadership may function as a broadly relevant organizational resource, the modest number of studies within each subgroup limits the statistical power to detect potential moderation effects.</p>
                <p>While these null moderation results should not be interpreted as definitive evidence of contextual invariance, the consistent pattern of non-significant moderation across four distinct macro-level variables carries noteworthy implications. Taken together, the findings suggest that the positive relationship between authentic leadership and work engagement is not easily attributable to any single contextual boundary condition tested in this study. This pattern is consistent with the broader proposition that the core elements of authenticity, transparency, moral integrity, balanced processing, and self-awareness may hold relevance across diverse organizational settings. However, given the limited statistical power of the moderation tests and the substantial unexplained heterogeneity that persists across all models, future research with larger and more balanced samples is needed before stronger claims of cross-contextual generalizability can be substantiated. Importantly, the finding that authentic leadership is positively associated with work engagement in emerging economies, contexts historically underrepresented in the leadership literature, extends the applicability of authentic leadership theory beyond its predominantly Western empirical origins.</p>
            </sec>
            <sec id="sec30">
                <title>5.3 Theoretical interpretation (RQ3)</title>
                <p>The findings are consistent with the integrative application of the JD-R model and SET in explaining the relationship between authentic leadership and work engagement. While the meta-analysis tests the bivariate association rather than the structural pathways posited by each theory, the pattern of results, including the strength and consistency of the pooled effect across diverse contexts, aligns with the predictions of both theoretical frameworks, as elaborated below.</p>
                <p>From the perspective of the JD-R model, the results confirm that authentic leadership behaviors: transparency, balanced processing, and ethical integrity, function as critical job resources that shape employee commitment and enthusiasm at work (
                    <xref ref-type="bibr" rid="ref38">Schaufeli et al., 2002</xref>; 
                    <xref ref-type="bibr" rid="ref41">Silva et al., 2023</xref>). Authentic leaders reduce uncertainty and role ambiguity while simultaneously fostering conditions for intrinsic motivation, thereby activating the motivational pathway from resources to engagement. The non-significant moderation by industry type is consistent with this interpretation, suggesting that across the range of industries represented in the current sample, authentic leadership may provide a resource base that supports engagement irrespective of specific job demands, although this conclusion remains tentative given the limited number of studies per industry category.</p>
                <p>From the perspective of SET, the findings are consistent with the proposition that authentic leadership triggers a reciprocity cycle in which employees respond to perceived fairness, honesty, and moral integrity with heightened vigor and absorption (
                    <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>). Aligning with SET, authentic leaders foster high-quality social exchanges that encourage employees to feel obligated to reciprocate with innovative behaviors beyond standard expectations. This reciprocal dynamic becomes especially powerful when engagement converts a leader&#x2019;s supportive resources into the innovative energy needed to address complex organizational challenges. The non-significant moderation by cultural context is consistent with the possibility that this reciprocity mechanism operates across different cultural settings, although the small number of low power distance studies (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;4) limits the strength of this inference. The directional similarity of effects across high and low-power distance contexts tentatively suggests that employees may respond positively to authentic leadership behavior irrespective of whether such transparency is normatively expected or culturally distinctive.</p>
                <p>Together, the JD-R model explains how authentic leadership activates engagement through resource provision, while SET explains why followers respond to such leadership with enhanced engagement through relational reciprocity. As projects become more decentralized and require autonomous team performance, leaders&#x2019; ability to cultivate a committed workforce through both resource provision and relational trust becomes increasingly vital for ensuring organizational success and resilience.</p>
            </sec>
            <sec id="sec31">
                <title>5.4 Mediating mechanisms and organizational outcomes (RQ4)</title>
                <p>The narrative synthesis identified 10 distinct mediating mechanisms across four thematic categories and four downstream organizational outcomes. Three features of the mediating evidence warrant discussion. First, the evidence base for individual mechanisms is notably thin. Only psychological capital (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;3) and psychological empowerment (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;2) have been examined in more than one independent study; the remaining eight mediators have been examined in only a single study. While this breadth of pathways is consistent with the proposition that authentic leadership functions simultaneously as a job resource and a trigger for social exchange, it also means that most proposed mechanisms have not yet been subjected to the replication that scientific confidence requires. The field has generated many candidate mechanisms but has not yet converged on which pathways are most robust.</p>
                <p>Second, the diversity of mediating mechanisms, spanning personal psychological resources, wellbeing states, relational trust processes, and organizational climate factors, suggests that authentic leadership may operate through multiple channels simultaneously rather than through a single dominant pathway. This multi-pathway interpretation aligns with the JD-R model&#x2019;s proposition that job resources enhance engagement through both motivational processes (
                    <xref ref-type="bibr" rid="ref19">Khattak et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref45">Towsen et al., 2020</xref>), and with SET&#x2019;s emphasis on relational reciprocity (
                    <xref ref-type="bibr" rid="ref31">Lux et al., 2023</xref>). Future research should test competing mediation models within the same study to evaluate the relative explanatory power of these channels.</p>
                <p>Third, the downstream organizational outcomes identified are hospital performance (
                    <xref ref-type="bibr" rid="ref1">Aboramadan et al., 2021</xref>), software project success (
                    <xref ref-type="bibr" rid="ref19">Khattak et al., 2022</xref>), innovative work behavior (
                    <xref ref-type="bibr" rid="ref7">Bai et al., 2022</xref>), and leadership aspirations (
                    <xref ref-type="bibr" rid="ref10">Cozzo Cabrera et al., 2025</xref>), suggest that work engagement should not be viewed as a terminal outcome but as a mechanism that translates authentic leader behaviors into tangible organizational performance and development outcomes. However, each outcome was examined in only a single study, and no outcome pathway has been independently replicated. These findings should therefore be regarded as promising directions for future research rather than established causal chains.</p>
                <p>Overall, the mediating evidence supports the study&#x2019;s integrated theoretical framework (RQ3) by demonstrating that the relationship between authentic leadership and work engagement is not a simple direct effect but operates through identifiable intermediary processes. The challenge for the next generation of research is to move from pathway identification to pathway comparison and replication.</p>
            </sec>
            <sec id="sec32">
                <title>5.5 Quality assessment considerations</title>
                <p>All 19 included studies were classified as high (73.68%) or moderate (26.32%) methodological quality according to the MMAT 2018 criteria, thereby ensuring a robust evidence base for this synthesis. The quality assessment highlighted that the majority of studies employed validated measurement instruments, reported complete outcome data, and applied appropriate statistical analyses. However, several methodological limitations were identified: most cross-sectional studies are at risk of common method bias because they rely on single-source, self-reported survey data collected at a single point in time. Recent post-pandemic studies have increasingly adopted time-lagged configurations and multi-source data collection approaches (
                    <xref ref-type="bibr" rid="ref29">Lisbona et al., 2021</xref>; 
                    <xref ref-type="bibr" rid="ref40">Sigaeva et al., 2022</xref>), thereby elevating the overall internal validity of the synthesized findings.</p>
            </sec>
            <sec id="sec33">
                <title>5.6 Contributions</title>
                <p>This meta-analytic study makes contributions in three theoretical areas. First, by strictly excluding regression-based effect sizes (
                    <italic toggle="yes">&#x03b2;</italic> coefficients) from the analysis, this study establishes a methodologically rigorous baseline for estimating the zero-order bivariate relationship between authentic leadership and work engagement. This addresses a limitation in prior syntheses that pooled heterogeneous effect size metrics (
                    <xref ref-type="bibr" rid="ref36">Paul &amp; Barari, 2022</xref>). Second, by incorporating studies conducted across emerging economies in Asia, Eastern Europe, South America, and Africa, this study broadens the empirical base of authentic leadership research to cultural contexts that have historically been underrepresented in the leadership literature. The observation that the authentic leadership&#x2013;work engagement relationship was consistently positive across all 12 countries and that none of the tested macro-contextual moderators significantly explained between-study variance offers preliminary support for the construct&#x2019;s cross-cultural relevance, while acknowledging that the limited number of studies per subgroup precludes definitive conclusions. Third, the findings are consistent with the complementary nature of authentic leadership as both a relational antecedent (through SET) and a motivational resource (through the JD-R model), suggesting that these theoretical perspectives jointly help interpret the leadership&#x2013;engagement dynamic.</p>
                <p>The practical implications are equally noteworthy. Organizations should consider incorporating validated authenticity measures into leadership selection processes to identify candidates who demonstrate self-awareness and moral integrity. Leadership development programs should extend beyond technical skill-building to include inner work that cultivates the courage for transparent communication and the discipline for objective decision-making. In the current talent-scarce environment, particularly in the post-pandemic era, developing authentic leaders is a strategic mechanism for talent retention, as it creates the supportive environment that high-performing employees increasingly demand.</p>
            </sec>
            <sec id="sec34">
                <title>5.7 Limitations and future research</title>
                <p>Although the findings are robust, several limitations are acknowledged. First, while the total participant count (
                    <italic toggle="yes">N</italic>&#x00a0;=&#x00a0;6,916) is substantial, the number of included studies (
                    <italic toggle="yes">k</italic>&#x00a0;=&#x00a0;19) is relatively small. This necessitated the use of the conservative Knapp and Hartung adjustment to mitigate the risk of Type I error. The small 
                    <italic toggle="yes">k</italic> also resulted in unbalanced subgroup sizes in moderation analyses, most notably in the cultural power distance analysis (15 high vs. 4 low), which may have limited statistical power to detect moderation effects. Furthermore, the PDI classification involves borderline cases: South Africa (PDI&#x00a0;=&#x00a0;49) falls just 1 point below the threshold of 50, and its reclassification into the high-power distance group would reduce the low-PDI subgroup to only 2 studies (Australia and Germany), further constraining the analysis. Future meta-analyses with larger samples should either use power distance as a continuous moderator in meta-regression or conduct sensitivity analyses with alternative PDI thresholds to assess the robustness of moderation findings.</p>
                <p>Second, the search strategy included only open-access articles, potentially excluding relevant studies published in subscription-based journals. This filter was applied to ensure full-text accessibility and replicability but represents a potential source of selection bias that should be acknowledged. Third, the dataset is predominantly focused on emerging economies (e.g., Indonesia, Pakistan, Russia, South Africa). While this addresses a significant gap in the Western-centric literature, the findings may not be fully generalizable to highly individualistic Western organizational cultures that are under-represented in the current sample. Fourth, all included studies employed cross-sectional designs and relied on self-report measures, which inhibit conclusive causal inferences and raise concerns about common method bias. Fifth, it should be noted that two studies with the largest sample size together account for approximately 29% of the total participant count (
                    <xref ref-type="bibr" rid="ref37">Pulido-Martos et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref39">Shao et al., 2025</xref>). Both studies reported effect sizes (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.30) below the pooled mean, and because random-effects models assign greater weight to larger, more precise studies, these two samples exert disproportionate influence on the pooled estimate. The Baujat plot (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>) did not identify either study as an outlier in terms of heterogeneity contribution, and the pooled effect remained medium (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41) despite this weighting pattern, suggesting that the overall finding is not an artifact of sample-size concentration. Nonetheless, future studies with more evenly distributed sample sizes would strengthen the precision of pooled estimates.</p>
                <p>Future research should address these study limitations. Longitudinal designs would enable the establishment of causal relationships between authentic leadership and engagement. Given that the tested macro-contextual moderators did not explain the observed heterogeneity, future studies should explore individual-level moderators that may account for between-study variance, such as employee proactive personality, core self-evaluations, or generational differences (e.g., Generation Z vs. Millennials). Additionally, multi-level designs that capture both leader- and team-level dynamics would provide insight into how authentic leadership translates into collective engagement and organizational outcomes.</p>
            </sec>
            <sec id="sec35">
                <title>5.8 Conclusion</title>
                <p>Drawing on data from 6,916 participants aggregated across 19 samples spanning 12 countries, this meta-analysis provides robust evidence that authentic leadership is significantly and positively associated with work engagement in the post-pandemic era. The medium-to-strong pooled correlation (
                    <italic toggle="yes">r</italic>&#x00a0;=&#x00a0;0.41), together with the absence of significant moderation by the cultural, industrial, sectoral, and economic factors tested, suggests that the core components of authenticity are relevant to employees across the diverse organizational contexts represented in the current evidence base. Authentic leadership extends its benefits beyond the immediate psychological state of the follower: through multiple mediating mechanisms, it provides a chain of desirable organizational outcomes, including innovative work behavior, project success, and leadership development. These findings underscore the strategic case for investing in authentic leadership development to foster engaged, resilient, and innovative workforces. By demonstrating a consistently positive relationship between authentic leadership and work engagement across both emerging markets and developed economies, this study offers preliminary empirical support for authentic leadership development as a pathway to advancing the United Nations 2030 Agenda for Sustainable Development Goal 8: decent work and economic growth.</p>
            </sec>
        </sec>
        <sec id="sec36">
            <title>Software availability</title>
            <p>We use JASP Software (version 0.96.0.0) to do meta-analysis of data. Software available from: 
                <ext-link ext-link-type="uri" xlink:href="https://jasp-stats.org/">https://jasp-stats.org/</ext-link>
            </p>
            <p>Mendeley Reference Manager. Software available from: 
                <ext-link ext-link-type="uri" xlink:href="https://www.mendeley.com/download-reference-manager/windows">https://www.mendeley.com/download-reference-manager/windows</ext-link>
            </p>
        </sec>
        <sec id="sec37">
            <title>Use of artificial intelligence (AI)</title>
            <p>The authors declare that the generative artificial intelligence (AI) tool Gemini 3.0 and Grammarly were used exclusively for language editing and grammatical improvement. The use of AI did not influence the scientific content, study design, data analysis, data interpretation, results, or conclusions of the manuscript. Full responsibility for the content remains with the authors.</p>
        </sec>
    </body>
    <back>
        <sec id="sec40" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec41">
                <title>Underlying data</title>
                <p>No Data are associated with this article.</p>
            </sec>
            <sec id="sec42">
                <title>Extended data</title>
                <p>Zenodo: PRISMA 2020 Flowchart, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19873636">https://doi.org/10.5281/zenodo.19873636</ext-link>.</p>
                <p>Kristanto, S. D. (2026a). PRISMA 2020 Flowchart [Data set]. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19873636">https://doi.org/10.5281/zenodo.19873636</ext-link> .</p>
                <p>This project contains the following data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>PRISMA 2020 Flowchart-180597.docx</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">Creative Commons Attribution 4.0 International</ext-link> 

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">(CC-BY 4.0)</ext-link> and 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons Public Domain Dedication and Certification (CC0 1.0)</ext-link>.</p>
                <p>Zenodo: Meta-Analysis and Subgroup Categories of Selected Studies, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19913953">https://doi.org/10.5281/zenodo.19913953</ext-link> .</p>
                <p>Kristanto, S. D. (2026b). Meta-Analysis and Subgroup Categories of Selected Studies [Data set]. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19913953">https://doi.org/10.5281/zenodo.19913953</ext-link>
                </p>
                <p>This project contains the following data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>
Table 2. Meta-Analysis and Subgroup Categories of Selected Studies.xlsx</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">Creative Commons Attribution 4.0 International</ext-link> 

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">(CC-BY 4.0)</ext-link> and 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons Public Domain Dedication and Certification (CC0 1.0)</ext-link>.</p>
                <p>Zenodo: 19 Studies Quality Assessment Results MMAT 2018, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19607567">https://doi.org/10.5281/zenodo.19607567</ext-link>.</p>
                <p>Kristanto, S. D. (2026c). 19 Studies Quality Assessment Results MMAT 2018 [Data set]. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19607567">https://doi.org/10.5281/zenodo.19607567</ext-link>
                </p>
                <p>This project contains the following data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>19 Studies Quality Assessment Results MMAT 2018.xlsx</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">Creative Commons Attribution 4.0 International</ext-link> 

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">(CC-BY 4.0)</ext-link> and 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons Public Domain Dedication and Certification (CC0 1.0)</ext-link>.</p>
                <p>Zenodo: JASP Source Code used in Meta Analysis (incl subgroup), 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19513143">https://doi.org/10.5281/zenodo.19513143</ext-link> .</p>
                <p>Kristanto, S. D. (2026d). JASP Source Code used in Meta Analysis (incl subgroup) [Code]. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19513143">https://doi.org/10.5281/zenodo.19513143</ext-link>
                </p>
                <p>This project contains the following data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>JASP Source Code used in Meta Analysis (incl subgroup).zip, consists of:</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>MA Main 19 Studies.jasp</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>MA 19 Studies Sub Group-Country Class.jasp</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>MA 19 Studies Sub Group-Culture.jasp</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>MA 19 Studies Sub Group-Industry Type.jasp</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>MA 18 Studies Exclude Outlier.jasp</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">Creative Commons Attribution 4.0 International</ext-link> 

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">(CC-BY 4.0)</ext-link> and 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons Public Domain Dedication and Certification (CC0 1.0)</ext-link>.</p>
            </sec>
            <sec id="sec43">
                <title>Reporting guidelines</title>
                <p>Zenodo: PRISMA abstracts for &#x2018;Does Authentic Leadership Foster Work Engagement? A Post-Pandemic Systematic Review and Meta-Analysis&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19643908">https://doi.org/10.5281/zenodo.19643908</ext-link>.</p>
                <p>Kristanto, S. D. (2026e). PRISMA_2020_abstract_checklist_Kristanto et al [Data set]. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19643908">https://doi.org/10.5281/zenodo.19643908</ext-link>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">Creative Commons Attribution 4.0 International</ext-link> 

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">(CC-BY 4.0)</ext-link> and 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons Public Domain Dedication and Certification (CC0 1.0)</ext-link>.</p>
                <p>Zenodo: PRISMA checklist for &#x2018;Does Authentic Leadership Foster Work Engagement? A Post-Pandemic Systematic Review and Meta-Analysis&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19875812">https://doi.org/10.5281/zenodo.19875812</ext-link>.</p>
                <p>Kristanto, S. D. (2026f
). PRISMA checklist [Data set]. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19875812">https://doi.org/10.5281/zenodo.19875812</ext-link>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1">Creative Commons Attribution 4.0 International</ext-link> 

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">(CC-BY 4.0)</ext-link> and 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons Public Domain Dedication and Certification (CC0 1.0)</ext-link>.</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>Not applicable.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report487527">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.199216.r487527</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Antonio</surname>
                        <given-names>Tony</given-names>
                    </name>
                    <xref ref-type="aff" rid="r487527a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r487527a1">
                    <label>1</label>Universitas Ciputra Surabaya, Surabaya, East Java, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>6</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Antonio T</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport487527" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.180597.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>1. The authors selected Walumbwa's definition of authentic leadership over Bill George's, but the rationale for this choice was not explicitly stated. One plausible explanation is that Walumbwa's model, which emphasizes high-quality social exchange relationships grounded in trust, fairness, and relational transparency (social exchange theory, SET), is more pertinent to fostering work engagement. Furthermore, this model aligns more closely with the concept of a job resource that enhances psychological safety, meaningfulness, and emotional support, as described in the job demands-resources (JD-R) theory. This alignment offers a clearer justification for its selection.</p>
            <p> </p>
            <p> 2. There is no indication that the paper selection process in the systematic literature review (SLR) explicitly references Walumbwa's definition. Nevertheless, the PRISMA selection process appears to evaluate studies based on the Walumbwa model.</p>
            <p> </p>
            <p> 3. The research question assumes that previous meta-analyses may have produced less accurate pooled effect estimates. A rigorous synthesis using the bivariate Pearson correlation coefficient is needed for a more precise estimate of the population effect size.</p>
            <p> </p>
            <p> 4. Figure 1 identifies authentic leadership as the antecedent variable and work engagement as the outcome. It also highlights several mediating and moderating mechanisms in their relationship.</p>
            <p> However, the authors do not sufficiently support their arguments before introducing this model.</p>
            <p> </p>
            <p> 5. The selection of 1,298 open-access papers could reduce the representation of authentic leadership and work engagement publications because many excellent papers are not open-access. This could be a limitation of this study.</p>
            <p> </p>
            <p> 6. The theoretical review is well written</p>
            <p> 7. The meta-analysis and systematic review are well described</p>
            <p> 8. The result is well explained</p>
            <p>Are the rationale for, and objectives of, the Systematic Review clearly stated?</p>
            <p>Yes</p>
            <p>Is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>If this is a Living Systematic Review, is the &#x2018;living&#x2019; method appropriate and is the search schedule clearly defined and justified? (&#x2018;Living Systematic Review&#x2019; or a variation of this term should be included in the title.)</p>
            <p>Not applicable</p>
            <p>Are sufficient details of the methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results presented in the review?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>leadership</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
