<?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="research-article" 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.175471.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Do hotel green practices influence customer satisfaction? Evidence from the Indian hospitality sector</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 3 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Singh</surname>
                        <given-names>Ajit Kumar</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/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0518-6142</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Poddar</surname>
                        <given-names>Ajay Kumar</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0518-6142</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Kumar</surname>
                        <given-names>Sumit</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dahiya</surname>
                        <given-names>Mohit</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1512-2794</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dashora</surname>
                        <given-names>Amit Kumar</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kumar</surname>
                        <given-names>Sachin</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Paatlan</surname>
                        <given-names>Sandeep</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sharma</surname>
                        <given-names>Anmol</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bakshi</surname>
                        <given-names>Neetesh</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Singh</surname>
                        <given-names>Anita Kumari</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Chandigarh University, Mohali, Punjab, India</aff>
                <aff id="a2">
                    <label>2</label>Texila American University, Lilayi, Lusaka, Zambia</aff>
                <aff id="a3">
                    <label>3</label>Manipal Academy of Higher Education, Manipal, India</aff>
                <aff id="a4">
                    <label>4</label>University of Sunderland, Sunderland, England, UK</aff>
                <aff id="a5">
                    <label>5</label>Galgotias University, Greater Noida, Uttar Pradesh, India</aff>
                <aff id="a6">
                    <label>6</label>Panjab University, Chandigarh, Chandigarh, India</aff>
                <aff id="a7">
                    <label>7</label>Chandigarh Group of Colleges Jhanjeri, Mohali, Punjab, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:sumit.k@manipal.edu">sumit.k@manipal.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>31</day>
                <month>12</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>1480</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>17</day>
                    <month>12</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Singh AK et al.</copyright-statement>
                <copyright-year>2025</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/14-1480/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>The study investigates the impact of Hotel Green Practices (HGP) on customers&#x2019; Willingness to Pay (WTP) for the sustainable initiative, Customer Loyalty (CL), and Customer Satisfaction (CS) in the hotel industry. Although green practices have gained considerable importance in hotel operations, empirical studies that simultaneously assess their direct and mediated effects on customer satisfaction remain limited. To address this gap, the present research integrates HGP, WTP, CL, and CS into a unified structural framework and examines the mediating roles of WTP and CL in explaining consumers&#x2019; satisfaction with hotel green practices.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Data were collected from the guests who stayed in star rated hotels of Delhi, India, between 9
                        <sup>th</sup> to 29
                        <sup>th</sup> October 2025. Convenience sampling was used, and a self-administered questionnaire served as the data collection tool. Measurement items were adapted from well-established scales in hospitality and consumer behaviour research. Data were analysed using SmartPLS 4, and PLS-SEM was employed to examine the structural relationships, as well as the explanatory and predictive capabilities of the proposed model.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The structural analysis demonstrated that HGP has a significant impact on both WTP and CL. A direct, although weaker, positive association was also observed between HGP and CS. Both mediators WTP, and CL contributed significantly to CS, with CL has the strongest effect, followed by WTP. Mediation analysis confirmed partial mediation, with indirect effects surpassing the direct effect of HGP on CS. The model showed substantial explanatory power, particularly for CS (R
                        <sup>2</sup> = 0.627), and demonstrated strong predictive relevance, with Q
                        <sup>2</sup> values exceeding the recommended threshold of 0.35.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>The findings suggest that HGP has positive impact on CS, CL, and customers&#x2019; WTP. Furthermore, customer loyalty emerged as a strong mediating variable between hotel green practices and customer satisfaction relationship. Overall, these results highlight the importance of adopting sustainability practices in hotel operations, as they not only strengthen customer loyalty and customer satisfaction, but also influence customers to pay premium price for the hotel&#x2019;s sustainable initiatives.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Hotel green practices</kwd>
                <kwd>customer loyalty</kwd>
                <kwd>customer satisfaction</kwd>
                <kwd>willingness to pay</kwd>
                <kwd>hotel</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>Greenhouse emissions, waste production, and environmental pollution has become major issues in the hotel operation (
                <xref ref-type="bibr" rid="ref3">Bohdanowicz, 2006</xref>; 
                <xref ref-type="bibr" rid="ref13">G&#x00f6;ssling, 2015</xref>). Thus, hotels now a days are heavily using eco-friendly practices in their daily activities (
                <xref ref-type="bibr" rid="ref17">Han &amp; Yoon, 2015</xref>; 
                <xref ref-type="bibr" rid="ref25">Mensah, 2006</xref>). According to 
                <xref ref-type="bibr" rid="ref19">Han et al. (2019)</xref> and 
                <xref ref-type="bibr" rid="ref5">Chang et al. (2024)</xref>, hotel green practices involves adoption of green initiatives and socially responsible initiatives in hotel operations. These practices has not only influences environmental concerns positively, but has also improves customer satisfaction significantly (
                <xref ref-type="bibr" rid="ref12">Gen&#x00e7; &amp; Zengin, 2025</xref>). Several studies also confirm that green initiatives positively influence customer satisfaction, attitudes, and behavior (
                <xref ref-type="bibr" rid="ref44">Han et al., 2010</xref>; 
                <xref ref-type="bibr" rid="ref22">Kang et al., 2012</xref>; 
                <xref ref-type="bibr" rid="ref33">Rahman &amp; Reynolds, 2016</xref>; 
                <xref ref-type="bibr" rid="ref16">Han &amp; Hyun, 2018</xref>; 
                <xref ref-type="bibr" rid="ref21">Kandampully &amp; Suhartanto, 2000</xref>). These activities also influence brand image (
                <xref ref-type="bibr" rid="ref6">Chen, 2010</xref>; 
                <xref ref-type="bibr" rid="ref33">Rahman and Reynolds, 2016</xref>), trust and brand equity (
                <xref ref-type="bibr" rid="ref6">Chen, 2010</xref>) significantly. 
                <xref ref-type="bibr" rid="ref44">Han et al. (2010)</xref> concluded that eco-friendly operations have an important influence on hotel choice intentions. 
                <xref ref-type="bibr" rid="ref22">Kang et al. (2012)</xref> found that consumers are ready to pay a high price when a hotel conducts genuine environmental activities.</p>
            <p>Most existing studies have examined the impact of green hotel practices on customer satisfaction (
                <xref ref-type="bibr" rid="ref44">Han et al., 2010</xref>; 
                <xref ref-type="bibr" rid="ref16">Han &amp; Hyun, 2018</xref>), and most of these studies were conducted in developing nations (
                <xref ref-type="bibr" rid="ref6">Chen, 2010</xref>; 
                <xref ref-type="bibr" rid="ref44">Han et al., 2010</xref>; 
                <xref ref-type="bibr" rid="ref33">Rahman and Reynolds, 2016</xref>). However, developing markets such as India are emerging in tourism, and consumer expectations remain undiscovered. In addition, mediators, including financial mediators, such as willingness to pay, and relational mediators, such as customer loyalty, are often examined independently and not in an integrated system.</p>
            <p>The study area considered for this empirical study is Delhi, India, and its sustainability challenges (
                <xref ref-type="bibr" rid="ref40">Singh et al., 2014</xref>) provide a particularly relevant context for this investigation. Addressing these gaps, the present study investigates the direct and indirect relationship between HGP, CS, and proposes below research questions:
                <disp-quote>
                    <p>

                        <italic toggle="yes">

                            <bold>RQ1:</bold> Do hotel green practices (HGP) influence customer satisfaction?</italic>
                    </p>
                    <p>

                        <italic toggle="yes">

                            <bold>RQ2:</bold> Do customers&#x2019; willingness to pay and customer loyalty mediate the relationship between Hotel Green Practices and customer satisfaction?</italic>
                    </p>
                </disp-quote>
            </p>
        </sec>
        <sec id="sec6">
            <title>2. Literature review</title>
            <sec id="sec7">
                <title>2.1 Hotel green practices and willingness to pay</title>
                <p>In the hotel industry, sustainable practices benefit all internal and external stakeholders, as well as long-term reputational and financial results (
                    <xref ref-type="bibr" rid="ref10">Font et al., 2016</xref>; 
                    <xref ref-type="bibr" rid="ref42">Yusof et al., 2022</xref>). Many studies have advocated the importance of technology adoption, sustainable practices, ecotourism awareness, and customer preferences in the hotel industry (
                    <xref ref-type="bibr" rid="ref23">Kaurav et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref1">Baber et al., 2015</xref>; 
                    <xref ref-type="bibr" rid="ref36">Rana et al., 2023</xref>; 
                    <xref ref-type="bibr" rid="ref35">Raina et al., 2024</xref>). Consumers are also becoming eco- friendly now a days, and are willing to pay premium price for the environmentally friendly products (
                    <xref ref-type="bibr" rid="ref22">Kang et al., 2012</xref>; 
                    <xref ref-type="bibr" rid="ref8">Damigos, 2023</xref>). Many studies advocates that hotel green initiatives positively affect customers&#x2019; WTP because of their visibility and credibility (
                    <xref ref-type="bibr" rid="ref34">Rahman and Reynolds, 2019</xref>; 
                    <xref ref-type="bibr" rid="ref2">Barber, 2014</xref>). 
                    <xref ref-type="bibr" rid="ref22">Kang et al. (2012)</xref> established that customers of hotels in the U.S. were ready to pay up to 6% more in eco-certified hotels. This trend was confirmed by 
                    <xref ref-type="bibr" rid="ref8">Damigos (2023)</xref>, who conducted a global systematic review and found that tourists are willing to pay a premium price to stay in sustainable accommodations. Similarly, 
                    <xref ref-type="bibr" rid="ref19">Han et al. (2019)</xref> reveal that guests&#x2019; perceived environmental responsibility increases their readiness to provide financial assistance to hotels&#x2019; green efforts. The implications of these findings are that the perceived value of hotel services improves because green practices are implemented and communicated effectively, thereby improving guests&#x2019; WTP.
                    <statement id="state1">
                        <label>

                            <italic toggle="yes">H1:</italic>
</label>
                        <p>

                            <italic toggle="yes">HGP has a positive impact on customers&#x2019; WTP.</italic>
                        </p>
                    </statement>
                </p>
            </sec>
            <sec id="sec8">
                <title>2.2 Customer loyalty and green hotel practices</title>
                <p>Customer loyalty refers to long-term attitudinal and behavioral loyalty to a service provider (
                    <xref ref-type="bibr" rid="ref31">Oliver, 1999</xref>). Service quality, trust, and emotional attachment to the brand determine loyalty in hospitality (
                    <xref ref-type="bibr" rid="ref4">Bowen and Chen, 2001</xref>). Green practices are also instrumental in creating a feeling of loyalty by generating value congruence between the personal values of the customer and the environmental ethics of hotels (
                    <xref ref-type="bibr" rid="ref12">Gen&#x00e7; and Zengin, 2025</xref>). 
                    <xref ref-type="bibr" rid="ref27">Moise et al. (2018)</xref> found that guests who view hotels as environmentally responsible have increased brand loyalty and positive word-of-mouth. 
                    <xref ref-type="bibr" rid="ref19">Han, Yu, and Kim (2019)</xref> also highlighted that eco-friendly hotels significantly impacts customer trust, which results in attitudinal and behavioural loyalty.
                    <statement id="state2">
                        <label>

                            <italic toggle="yes">H2:</italic>
</label>
                        <p>

                            <italic toggle="yes">HGP has a positive impact on CL.</italic>
                        </p>
                    </statement>
                </p>
            </sec>
            <sec id="sec9">
                <title>2.3 Customer satisfaction and hotel green practices</title>
                <p>Customer satisfaction is the cumulative judgment of a service encounter in comparison to anticipations (
                    <xref ref-type="bibr" rid="ref29">Oliver, 1980</xref>). Regarding green hotels, satisfaction does not solely depend on the traditional service quality aspects, but on the perceived performance in the environmental aspects as well (
                    <xref ref-type="bibr" rid="ref41">Soni et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref5">Chang et al., 2024</xref>). The empirical data show that the guests gain satisfaction when they find green practices of hotels to be genuine and close to sustainable values (
                    <xref ref-type="bibr" rid="ref34">Rahman and Reynolds, 2019</xref>). The study of 
                    <xref ref-type="bibr" rid="ref5">Chang et al. (2024)</xref> discovered that green initiatives have a positive impact on visitor satisfaction and revisit intention. Similarly, 
                    <xref ref-type="bibr" rid="ref27">Moise et al. (2018)</xref> found that green initiative influence customer loyalty and customers&#x2019; willingness to pay.
                    <statement id="state3">
                        <label>

                            <italic toggle="yes">H3:</italic>
</label>
                        <p>

                            <italic toggle="yes">HGP positively impact CS.</italic>
                        </p>
                    </statement>
                </p>
            </sec>
            <sec id="sec10">
                <title>2.4 Willingness to pay and customer satisfaction</title>
                <p>When guests are more willing to pay for sustainable services, they tend to be more satisfied because they are contributing to the services according to their moral and environmental beliefs (
                    <xref ref-type="bibr" rid="ref15">Han and Hyun, 2017</xref>) revealed that eco-friendly consumers experience a sense of psychological fulfilment when they patronize green hotels, which increases their satisfaction. 
                    <xref ref-type="bibr" rid="ref8">Damigos (2023)</xref> also advocates that WTP mediates the connection between perceived sustainability and tourism consumption satisfaction. This implies that guests&#x2019; readiness to spend on green programs reflects both altruistic and hedonic motivations, which add to satisfaction.
                    <statement id="state4">
                        <label>

                            <italic toggle="yes">H4:</italic>
</label>
                        <p>

                            <italic toggle="yes">WTP positively impact CS.</italic>
                        </p>
                    </statement>
                </p>
            </sec>
            <sec id="sec11">
                <title>2.5 Customer satisfaction and customer loyalty</title>
                <p>Satisfaction is a major antecedent of loyalty in hospitality, but reciprocal causality is also found i.e., satisfied customers are likely to express greater satisfaction because they have a positive experience and accumulate it (
                    <xref ref-type="bibr" rid="ref4">Bowen and Chen, 2001</xref>). The empirical data support positive relationship between customers&#x2019; satisfaction and loyalty. 
                    <xref ref-type="bibr" rid="ref27">Moise et al. (2018)</xref> advocates that the loyal guests has higher satisfaction due to the constant fulfilment of their expectations. 
                    <xref ref-type="bibr" rid="ref15">Han and Hyun (2017)</xref> also reveals that loyalty is a positive reinforcement of satisfaction by creating emotional attachment to the brand.
                    <statement id="state5">
                        <label>

                            <italic toggle="yes">H5</italic>:</label>
                        <p>

                            <italic toggle="yes">CS positively impact CL.</italic>
                        </p>
                    </statement>
                </p>
            </sec>
            <sec id="sec12">
                <title>2.6 Mediating roles of WTP and CL</title>
                <p>Indirect linkages between HGP and CS through WTP and CL have been established in sustainability studies. 
                    <xref ref-type="bibr" rid="ref19">Han et al. (2019)</xref> found that the guests&#x2019; willingness to pay for eco-friendly services mediates the effect of green practices on satisfaction. 
                    <xref ref-type="bibr" rid="ref12">Gen&#x00e7; &amp; Zengin (2025)</xref> reported that loyalty serves as a critical conduit through which environmental responsibility enhances satisfaction. Furthermore, mediating effects highlight psychological mechanisms by which guests translate green perceptions into satisfaction. WTP reflects cognitive evaluation of value, while CL embodies affective commitment (
                    <xref ref-type="bibr" rid="ref31">Oliver, 1999</xref>). Integrating both mediators provides a holistic understanding of how green practices ultimately improve satisfaction.
                    <statement id="state6">
                        <label>

                            <italic toggle="yes">H6:</italic>
</label>
                        <p>

                            <italic toggle="yes">WTP significantly mediates the relationship between HGP and CS.</italic>
                        </p>
                    </statement>

                    <statement id="state7">
                        <label>

                            <italic toggle="yes">H7:</italic>
</label>
                        <p>

                            <italic toggle="yes">CL significantly mediates the relationship between HGP and CS.</italic>
                        </p>
                    </statement>
                </p>
                <p>Based on the above arguments, the conceptual framework proposed for the study is presented in 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Proposed theoretical framework.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/193456/736fe340-041c-4b18-9c90-9770296d5671_figure1.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec13">
            <title>3. Research methodology</title>
            <p>The study used a cross-sectional design and Partial Least Squares Structural Equation Modeling (PLS-SEM) is proposed to test the measurement and structural model. Data were collected using a convenience sampling method, and all respondents were aged 18 years or older. Written informed consent was obtained from all participants prior to their participation in the study. Participants were informed about the study objectives, their right to withdraw at any stage, and the measures taken to ensure the confidentiality and anonymity of their responses. Between 9
                <sup>th</sup> and 29
                <sup>th</sup> October 2025, individuals staying in star-rated hotels in Delhi were approached with a self-administered survey instrument. A 5-point Likert scale was employed for all items (1 = strongly disagree, 5 = strongly agree). From the 510 questionnaires distributed, 79 were excluded due to incomplete or invalid responses, resulting in 431 usable questionnaires for the analysis. The HGP construct was evaluated using four items (
                <xref ref-type="bibr" rid="ref44">Han, Hsu, &amp; Sheu, 2010</xref>), WTP with three items derived from (
                <xref ref-type="bibr" rid="ref28">Namkung &amp; Jang, 2013</xref>), CL through four items (
                <xref ref-type="bibr" rid="ref43">Zeithaml, Berry, &amp; Parasuraman, 1996</xref>; 
                <xref ref-type="bibr" rid="ref32">Prayag &amp; Ryan, 2012</xref>), and CS was measured through four items (
                <xref ref-type="bibr" rid="ref26">Merli et al., 2018</xref>; 
                <xref ref-type="bibr" rid="ref30">Oliver, 1996</xref>). Details of constructs are their items are presented 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>Details of constructs and their items.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="1" valign="top">Hotel Green Practices (HGP): Adapted from 
                                <xref ref-type="bibr" rid="ref44">Han, Hsu, &amp; Sheu (2010)</xref>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HGP1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">This hotel makes substantial efforts to reduce energy consumption (e.g., LED lighting, smart thermostats).</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HGP2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">This hotel has an active program to reduce water use (e.g., low-flow faucets, linen reuse).</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HGP3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">This hotel minimizes waste by recycling and composting.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HGP4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">This hotel offers environmentally friendly guest amenities (e.g., bulk dispensers, eco-certified toiletries).</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <italic toggle="yes">Willingness to Pay (WTP): Adapted from</italic> 
                                <xref ref-type="bibr" rid="ref28">

                                    <italic toggle="yes">Namkung &amp; Jang (2013)</italic>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">WTP1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I am willing to pay a higher price for a room in this green hotel compared to a regular one.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">WTP2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I would accept higher room rates if environmentally friendly practices are guaranteed.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">WTP3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I would pay more, if necessary, to stay in a hotel that is environmentally responsible.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <italic toggle="yes">Customer Loyalty (CL): Adapted from</italic> 
                                <xref ref-type="bibr" rid="ref43">

                                    <italic toggle="yes">Zeithaml, Berry, &amp; Parasuraman (1996)</italic>
                                </xref>
                                <italic toggle="yes">; widely applied in hotel studies such as</italic> 
                                <xref ref-type="bibr" rid="ref32">

                                    <italic toggle="yes">Prayag &amp; Ryan (2012)</italic>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CL1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I intend to stay in this hotel again in the future.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CL2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I will recommend this hotel to friends and relatives.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CL3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">If I need accommodation in this area, this hotel would be my first choice.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CL4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I would say positive things about this hotel to others.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <italic toggle="yes">Customer Satisfaction (CS): Adapted from</italic> 
                                <xref ref-type="bibr" rid="ref26">

                                    <italic toggle="yes">Merli et al. (2018)</italic>
                                </xref> 
                                <italic toggle="yes">and</italic> 
                                <xref ref-type="bibr" rid="ref30">

                                    <italic toggle="yes">Oliver (1996)</italic>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CS1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I am happy with my decision to stay here because of its environmental practices.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CS2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">I am pleased with the hotel&#x2019;s eco-friendly products/services.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CS3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Overall, I feel satisfied with the hotel&#x2019;s environmental performance.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CS4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">My decision to purchase this hotel&#x2019;s services was influenced by its green image.</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Source: Author&#x2019;s computation.</p>
                </table-wrap-foot>
            </table-wrap>
            <sec id="sec14">
                <title>3.1 Measurement model</title>
                <p>As shown in 
                    <xref ref-type="fig" rid="f2">
Figure 2</xref>, the measurement model presents the outer and inner loadings for the four latent variables HGP, WTP, CL, and CS. 
                    <xref ref-type="table" rid="T2">
Table 2</xref> summarizes the results of all reliability statistics used in this study. All constructs reported Cronbach&#x2019;s alpha values exceeding the recommended threshold of 0.70, confirming satisfactory reliability. The rho_A values were more than 0.70, and positioned between Cronbach&#x2019;s alpha and &#x03c1;_C. As shown in 
                    <xref ref-type="table" rid="T2">
Table 2</xref>, all AVE values were greater than 0.50, thus supporting convergent validity (
                    <xref ref-type="bibr" rid="ref11">Fornell &amp; Larcker, 1981</xref>).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Measurement model.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/193456/736fe340-041c-4b18-9c90-9770296d5671_figure2.gif"/>
                </fig>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Factor loadings, reliability and validity.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Factors loading</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Cronbach's alpha</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Composite reliability (rho_a)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Composite reliability (rho_c)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Average variance extracted (AVE)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
VIF</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Customer Loyalty</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.922</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.923</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.945</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.811</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.901</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.026</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.886</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.78</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.905</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.196</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.908</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.298</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Customer Satisfaction</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.964</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.869</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.938</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.814</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.932</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.338</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.924</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.996</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.934</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.633</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Hotel Green Practices</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.907</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.907</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.935</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.781</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HGP1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.886</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.682</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HGP2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.882</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.653</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HGP3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.879</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.603</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HGP4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.887</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.721</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Willingness to Pay</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.878</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.879</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.925</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.804</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.905</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.499</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.892</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.331</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.893</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.4</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>The cross-loading results revealed that each item loaded more strongly on its intended construct than on all other constructs. The HTMT values were all below the conservative threshold (&lt;0.85). 
                    <xref ref-type="table" rid="T4">
Table 4</xref> summarizes the Fornell&#x2013;Larcker statistics, showing that the square roots of AVEs for all constructs exceeded their inter construct correlations, thereby confirming discriminant validity (
                    <xref ref-type="bibr" rid="ref11">Fornell &amp; Larcker, 1981</xref>). Furthermore, the HTMT results presented in 
                    <xref ref-type="table" rid="T3">
Table 3</xref> were below the conservative threshold of 0.85, further supporting construct distinctiveness (
                    <xref ref-type="bibr" rid="ref20">Henseler, Ringle, &amp; Sarstedt, 2015</xref>). Together, these results indicate that HGP, WTP, CL, and CS are distinct from one another.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Discriminant validity-HTMT&#x2013;test.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">1. HGP</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2. WTP</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">3. CL</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
4. CS</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1. HGP</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2. WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.709</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3. CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.736</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.585</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4. CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.723</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.711</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.759</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Discriminant validity Fornell Lacker &#x2013; Statistics.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">1. HGP</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2. WTP</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">3. CL</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
4. CS</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HGP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.884</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.633</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.897</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.673</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.527</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.9</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.671</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.711</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.932</bold>
</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Finally, multicollinearity among predictors was evaluated through variance inflation factor (VIF) statistics (
                    <xref ref-type="table" rid="T2">
Table 2</xref>). All VIF values were well below 5, suggesting that multicollinearity is not a concern in this model (
                    <xref ref-type="bibr" rid="ref24">Kock, 2015</xref>; 
                    <xref ref-type="bibr" rid="ref9">Diamantopoulos &amp; Siguaw, 2006</xref>).</p>
            </sec>
            <sec id="sec15">
                <title>3.2 Structural model evaluation and hypothesis testing</title>
                <p>
                    <xref ref-type="fig" rid="f3">
Figure 3</xref> presents the structural model of the proposed study. HGP had a significant positive impact on both WTP (&#x03b2; = 0.633, t = 20.715, p &lt; 0.001) and CL (&#x03b2; = 0.673, t = 25.670, p &lt; 0.001), indicating that sustainable initiatives increase guests&#x2019; willingness to pay and strengthen loyalty. H3 confirmed significant, and positive direct relationship between HGP and CS (&#x03b2; = 0.196, t = 4.495, p &lt; 0.01), suggesting that green practices influence satisfaction primarily through mediating mechanisms. H4 confirmed that WTP positively affects CS (&#x03b2; = 0.306, t = 7.838, p &lt; 0.001), while H5 showed that CL has the strongest impact on CS (&#x03b2; = 0.418, t = 10.651, p &lt; 0.001). These results highlight loyalty as a key driver of satisfaction in green hospitality settings. Each of these findings is summarized in 
                    <xref ref-type="table" rid="T5">
Table 5</xref>.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Structural model.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/193456/736fe340-041c-4b18-9c90-9770296d5671_figure3.gif"/>
                </fig>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>
Table 5. </label>
                    <caption>
                        <title>Path coefficient &#x2013; Hypothesis testing.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Original sample</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">T statistics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">P values</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Result</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H1: HGP -&gt; WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.633</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.031</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.715</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Accepted</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H2: HGP -&gt; CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.673</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.026</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Accepted</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H3: HGP -&gt; CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.196</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.044</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.495</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Accepted</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H4: WTP -&gt; CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.306</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.039</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.838</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Accepted</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H5: CL -&gt; CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.418</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.039</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.651</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Accepted</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Mediation analyses were conducted to examine the mediating roles proposed in H6 and H7. For H6 examined whether WTP mediates the relationship between HGP and CS. The results (see 
                    <xref ref-type="table" rid="T6">
Table 6</xref>) indicated a significant indirect effect of HGP on CS through WTP (&#x03b2; = .193, t = 7.031, p &lt; .001). The total effect of HGP on CS remained significant (&#x03b2; = .671, t = 25.283, p &lt; .001), and after the inclusion of mediator (WTP), the direct effect of HGP on CS also remained significant (&#x03b2; = .196, t = 4.495, p &lt; .001), demonstrating a complementary partial mediation and thereby supporting H6. Similarly, H7 proposed that CL mediates the relationship between HGP and CS. The findings revealed a significant indirect effect of HGP on CS through CL (&#x03b2; = .282, t = 9.564, p &lt; .001). The total effect of HGP on CS was again significant (&#x03b2; = .671, t = 25.283, p &lt; .001), and with the presence of mediator (CL), the direct effect of HGP on CS remained significant (&#x03b2; = .196, t = 4.495, p &lt; .001), indicating a complementary partial mediation.</p>
                <table-wrap id="T6" orientation="portrait" position="float">
                    <label>
Table 6. </label>
                    <caption>
                        <title>Mediation analysis.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="2" rowspan="1" valign="top">Total effect</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Direct effect</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Specific indirect effect</th>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x03b2;</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
p-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">B</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
p-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x03b2;</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
t-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
p-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Results</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H6: HGP&#x2192; WTP &#x2192; CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.671</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.196</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.193</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.031</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Partial Mediation</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">H7: HGP &#x2192; CL &#x2192; CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.671</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.196</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.282</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.564</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Partial Mediation</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <xref ref-type="table" rid="T7">
Table 7</xref>, presents model&#x2019;s explanatory power. HGP explains 40.1% of the variance in WTP (R
                    <sup>2</sup> = 0.401) and 45.3% of the variance in CL (R
                    <sup>2</sup> = 0.453). Customer Satisfaction (CS) has the highest explanatory power, with an R
                    <sup>2</sup> of 0.627, indicating that HGP, WTP, and CL together explain nearly 63% of its variance. The adjusted R
                    <sup>2</sup> (see 
                    <xref ref-type="table" rid="T8">
Table 8</xref>) values for WTP (0.399), CL (0.452), and CS (0.625) closely align with their respective R
                    <sup>2</sup> values, confirming the model&#x2019;s robustness and absence of overfitting.</p>
                <table-wrap id="T7" orientation="portrait" position="float">
                    <label>
Table 7. </label>
                    <caption>
                        <title>r Square.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Original sample</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sample mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">T statistics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P values</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.401</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.403</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.039</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.382</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.453</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.454</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.035</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.874</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.627</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.028</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.581</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T8" orientation="portrait" position="float">
                    <label>
Table 8. </label>
                    <caption>
                        <title>Adjusted r square.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Original sample</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sample mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">T statistics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P values</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2. WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.399</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.401</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.039</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.322</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3. CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.452</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.453</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.035</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.808</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4. CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.625</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.627</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.028</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Effect size results in 
                    <xref ref-type="table" rid="T9">
Table 9</xref> further clarify the strength of these relationships. HGP shows a large effect on both WTP (f
                    <sup>2</sup> = 0.669) and CL (f
                    <sup>2</sup> = 0.829), demonstrating that sustainability practices strongly influence willingness to pay and loyalty. In contrast, HGP&#x2019;s direct effect on CS is small (f
                    <sup>2</sup> = 0.045), indicating that its impact on satisfaction operates mainly through the mediating roles of WTP and CL. Overall, these findings highlight the importance of integrating green practices with value-driven mechanisms to better predict customer satisfaction in sustainable hospitality settings.</p>
                <table-wrap id="T9" orientation="portrait" position="float">
                    <label>
Table 9. </label>
                    <caption>
                        <title>f Square.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Original sample</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sample mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard deviation</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">T statistics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P values</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1. HGP -&gt; 2. WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.669</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.682</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.091</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1. HGP -&gt; 3. CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.829</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.841</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.932</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1. HGP -&gt; 4. CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.045</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.048</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.096</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.018</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2. WTP -&gt; 4. CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.145</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.149</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.664</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3. CL -&gt; 4. CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.249</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.253</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.052</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.744</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <xref ref-type="table" rid="T9">
Table 9</xref> reported the effect sizes of WTP and CL. The result revels that both WTP and CL significantly contribute to customer satisfaction, with CL (f
                    <sup>2</sup> = 0.249) exerting a slightly stronger influence than WTP (f
                    <sup>2</sup> = 0.145). 
                    <xref ref-type="table" rid="T10">
Table 10</xref> summarized the result of predictive relevance. The Q
                    <sup>2</sup> values for WTP (0.397), CL (0.451), and CS (0.448) exceeds the threshold value of 0.35. These results indicate strong out-of-sample predictive capability. Additionally, the PLS Predict results reported in 
                    <xref ref-type="table" rid="T11">
Table 11</xref> show that the PLS model demonstrates lower or comparable prediction errors relative to linear regression benchmarks, confirming its high predictive accuracy.</p>
                <table-wrap id="T10" orientation="portrait" position="float">
                    <label>
Table 10. </label>
                    <caption>
                        <title>PLS predict MV summary.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Q
                                    <sup>2</sup>predict</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">PLS-SEM_RMSE</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">PLS-SEM_MAE</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">LM_RMSE</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">LM_MAE</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">IA_RMSE</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
IA_MAE</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.351</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.791</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.624</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.797</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.982</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.708</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.309</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.756</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.602</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.757</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.603</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.909</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.659</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">WTP3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.296</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.755</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.591</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.595</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.899</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.658</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.397</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.742</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.602</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.746</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.606</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.955</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.715</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.338</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.772</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.631</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.776</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.634</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.949</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.713</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.373</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.796</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.621</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.802</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.626</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.005</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.738</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CL4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.351</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.627</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.775</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.631</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.956</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.704</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.397</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.863</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.707</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.868</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.708</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.111</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.852</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.389</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.915</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.744</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.921</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.747</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.931</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.399</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.808</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.658</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.813</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.662</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.043</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.791</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CS4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.369</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.915</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.745</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.921</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.753</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.152</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.887</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T11" orientation="portrait" position="float">
                    <label>
Table 11. </label>
                    <caption>
                        <title>PLS predict LV summary.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Q
                                    <sup>2</sup>predict</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">RMSE</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
MAE</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2. WTP</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.397</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.604</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3. CL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.451</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.744</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.594</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4. CS</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.448</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.746</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.605</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Author&#x2019;s computation.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec16" sec-type="discussion">
            <title>4. Discussion</title>
            <sec id="sec17">
                <title>4.1 Theoretical implications</title>
                <p>The study concludes that HGP significantly impacts CS, WTP and CL. Similar, results have been reported in previous studies, showing that green practices influences customer attitudes and behavioural intentions (
                    <xref ref-type="bibr" rid="ref6">Chen, 2010</xref>; 
                    <xref ref-type="bibr" rid="ref44">Han et al., 2010</xref>; 
                    <xref ref-type="bibr" rid="ref22">Kang et al., 2012</xref>). The path coefficient between the HGP and CL linkage is significantly high, which supports that sustainable practices can build a strong relation between hotels and their guests. Hotel green practices positively influence environmentally mindful guests, which further results in increase in emotional bonding, word of mouth, and customer loyalty towards the brand (
                    <xref ref-type="bibr" rid="ref16">Han and Hyun, 2018</xref>). This will not only significantly increase repeat business but also cut acquisition costs. The study also reveals that the impact of HGP on CS is comparatively low as compared to the mediating variables i.e, WTP and CL. This finding suggest that along with hotel green practices, WTP and CL also plays significant role for the customer satisfaction. In other words guest satisfaction increases, when HGP coupled with WTP and CL. By integrating WTP and CL as a mediating variables, and within a single structural model, the study offers a more holistic explanation of how green practices influence consumer satisfaction in hospitality settings. The empirical results further revels that the model has strong explanatory power (R
                    <sup>2</sup> = 0.627) and predictive relevance (Q
                    <sup>2</sup> &gt; 0.35), confirming its theoretical soundness and empirical reliability (
                    <xref ref-type="bibr" rid="ref7">Chin, 1998</xref>; 
                    <xref ref-type="bibr" rid="ref14">Hair et al., 2019</xref>; 
                    <xref ref-type="bibr" rid="ref37">Shmueli et al., 2019</xref>). Overall, results indicate that Indian hotel customers respond positively to hotel green initiatives, reflecting a broader shift toward more environmentally responsible consumption patterns.</p>
            </sec>
            <sec id="sec18">
                <title>4.2 Practical implications</title>
                <p>From a hotels perspective, the results have a number of actionable insights. First, hotel operators should strategically invest in and communicate green practices, not merely as compliance with environmental regulations but as mechanisms to enhance brand loyalty and willingness to pay. The installation of energy-saving systems, the adoption of water saving technologies, complete separation of waste will attract environmentally conscious customers. The customers&#x2019; trust on a hotel brand can be strengthen, when hotel clearly mention their green certifications (e.g., LEED, Green Key) or provide real-time sustainability data (e.g., energy-saving dashboard). Second, there is a need to have a communication policy to customers to translate the green practices into economic and relationship terms. The willingness to engage in environmental activities, be it on websites, in-room, mobile applications, and even in communication with the staff, may be the defining factor of whether the guests pay a higher rate (
                    <xref ref-type="bibr" rid="ref22">Kang et al., 2012</xref>). Moreover, loyalty could be reinforced and sustainable behavior promoted by green loyalty programmes which reward environmentally friendly behavior (e.g., more points on reusing towels, using digital check-out, or tree-planting programmes). Third, the effective implementation of green initiatives depends on the training and engagement of the staff. The ambassadors of the environmental initiatives of the hotel will be frontline workers, and by offering them knowledge and incentives to promote green initiatives, the overall experience and satisfaction of the guests can be enhanced. The results are educative to the government agencies, tourism boards and industrial associations. Fiscal incentives (e.g., tax exemption of certified properties), easy access to green finance, and certification are one of the ways of persuading hotels to adopt green practices. Regulatory regimes can also be used to improve consumer trust by ensuring that sustainability indicators are clearly reported. In addition, special awareness campaigns should be used to sensitize local and foreign tourists to the environmental effect of their choice of accommodation, which will increase the demand for green hotels. Industry associations can assist hotels in sharing knowledge, capacity-building programs, and joint marketing of certified green hotels as part of India&#x2019;s sustainable tourism positioning.</p>
            </sec>
        </sec>
        <sec id="sec19" sec-type="conclusion">
            <title>5. Conclusion</title>
            <p>This study provides strong empirical data on the effect of hotel green practices on customer satisfaction, which is manifested in the willingness to pay and loyalty towards the customer in the case of star-rated hotels in Delhi, India. This study improves the theoretical understanding of the processes by which sustainability and customer outcomes are connected by developing and confirming a dual-mediation model using PLS-SEM. The results show that hotel green practices have a direct influence on satisfaction, but indirect effects through loyalty and willingness to pay are stronger, with the former being the most significant channel. This highlights that sustainable initiatives generate both operational benefits and emotional value, which are essential for customer satisfaction and competitive advantage. The study contributes theoretically by integrating environmental factors with relationship marketing and value perspectives into a unified framework. It also offers practical evidence for hoteliers and policymakers seeking to align sustainability objectives with business performance. Incorporating environmental practices into service delivery and relationship-building strategies can enable hotels to increase loyalty, justify premium rates, and boost overall guest satisfaction. Therefore, this study confirms that sustainability and profitability are not conflicting but complementary goals.</p>
        </sec>
        <sec id="sec20">
            <title>6. Limitations and future research</title>
            <p>First, only five star hotels in Delhi were used as the sample, which can limit the extrapolation of the results. Customer&#x2019;s attitudes and behaviours toward green practices will most likely differ by geographic area, culture, and hotel typologies. Future efforts should aim to duplicate the current research in other cities or countries to strengthen external validity and explore the possibility of cross-cultural variations in the mediating processes. Second, causal inference is restricted because of the use of cross-sectional survey data. Despite the theoretical soundness of the structural model, a longitudinal or experimental design might have been more suitable to grasp the dynamics of time in terms of green practices, loyalty, willingness to pay, and satisfaction. Third, this study focused on customer loyalty and willingness to pay as the mediating variables of interest. These relationships could also be mediated or moderated by additional psychological variables, including perceived authenticity, environmental involvement, trust, or green brand image (
                <xref ref-type="bibr" rid="ref6">Chen, 2010</xref>). These constructs should be included in future models to provide a more comprehensive insight into how customers respond to green practices. Finally, although this study was customer-centred, a multi-stakeholder approach that includes the involvement of employees, managerial intentions, and policy frameworks could be used in future studies.</p>
        </sec>
        <sec id="sec21">
            <title>Ethics statement</title>
            <p>The research protocol was reviewed and approved by the Ethics Committee of Texila American University, Zambia (Approval No: TAUZ/REC/2025/S/45; 15 September 2025).</p>
        </sec>
    </body>
    <back>
        <sec id="sec25" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>The dataset and questionnaire employed in this study is openly available on Zenodo (Data set: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.17848960">https://doi.org/10.5281/zenodo.17848960</ext-link>; Questionnaire: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.17848885">https://doi.org/10.5281/zenodo.17848885</ext-link>) (
                <xref ref-type="bibr" rid="ref38">Singh, 2025a</xref>; 
                <xref ref-type="bibr" rid="ref39">Singh, 2025b</xref>). All data are provided under the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">International License CC BY 4.0</ext-link>.</p>
        </sec>
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                </mixed-citation>
            </ref>
            <ref id="ref43">
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                        <name name-style="western">
                            <surname>Zeithaml</surname>
                            <given-names>VA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Berry</surname>
                            <given-names>LL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Parasuraman</surname>
                            <given-names>A</given-names>
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                    <article-title>The behavioral consequences of service quality.</article-title>
                    <source>

                        <italic toggle="yes">J. Mark.</italic>
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                    <year>1996</year>;<volume>60</volume>(<issue>2</issue>):<fpage>31</fpage>&#x2013;<lpage>46</lpage>.
                    <pub-id pub-id-type="doi">10.1177/002224299606000203</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report447179">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.193456.r447179</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Anita</surname>
                        <given-names>Tiurida Lily</given-names>
                    </name>
                    <xref ref-type="aff" rid="r447179a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0167-1204</uri>
                </contrib>
                <aff id="r447179a1">
                    <label>1</label>Hotel Management, Bina Nusantara University - Joseph Wibowo Center Campus Library and Knowledge Center (Ringgold ID: 527027), West Jakarta, Jakarta, 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>19</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Anita TL</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="relatedArticleReport447179" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.175471.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>Major revision.</bold>
            </p>
            <p> The study is promising and the analysis framework is mostly appropriate, but the CS&#x2013;CL direction inconsistency must be corrected, and replication/mediation reporting should be clarified for scientific soundness.1. The hypothesis/model direction inconsistency. The paper states H5: CS positively impact CL. But in the structural results and interpretation, it appears the tested path is CL 
                <bold>&#x2192; </bold>CS (CL has &#x201c;the strongest effect&#x201d; on CS), and mediation logic treats CL as a mediator explaining CS.</p>
            <p> </p>
            <p> </p>
            <p> </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Service Management, Hospitality Management, Hotel Management</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, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report449146">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.193456.r449146</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mishra</surname>
                        <given-names>Rajeev R</given-names>
                    </name>
                    <xref ref-type="aff" rid="r449146a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r449146a1">
                    <label>1</label>A-Star Academy, Mumbai, India</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>14</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Mishra RR</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="relatedArticleReport449146" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.175471.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>"This manuscript investigates whether hotel green practices (HGP) influence customer satisfaction (CS) in the Indian hospitality sector, incorporating willingness to pay (WTP) and customer loyalty (CL) as mediating variables. The topic is timely and relevant, given the increasing importance of sustainability in hospitality and the evolving expectations of environmentally conscious consumers. However, the following points should be addressed to further strengthen the manuscript.</p>
            <p> </p>
            <p> 1. Minor language editing: A light grammar and proofreading check would improve readability (e.g., consistent tense usage and minor spelling/word choice issues).</p>
            <p> 2. Clarify sampling frame: Please ensure consistency in describing the sample (e.g., whether the study focuses only on five-star hotels or includes multiple star categories). This can be clarified in one line.</p>
            <p> 3. Statistical reporting: Replace &#x201c;p = 0.000&#x201d; with the standard format &#x201c;p &lt; 0.001&#x201d;.</p>
            <p> 4. Common method bias statement: Since survey data is collected from a single source, adding one brief line about how common method bias was addressed/checked (e.g., full collinearity VIF or Harman single-factor test) would strengthen methodological transparency.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Hospitality/Tourism</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>
    <sub-article article-type="reviewer-report" id="report447175">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.193456.r447175</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Rana</surname>
                        <given-names>Varinder Singh</given-names>
                    </name>
                    <xref ref-type="aff" rid="r447175a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r447175a1">
                    <label>1</label>City University College of Ajman, Ajman, Ajman, United Arab Emirates</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>14</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Rana VS</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="relatedArticleReport447175" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.175471.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The study investigates the impact of Hotel Green Practices (HGP) on customers&#x2019; Willingness to Pay (WTP), Customer Loyalty (CL), and Customer Satisfaction (CS), integrating these constructs into a unified structural framework. While valuable, the article partly lacks clarity in sampling methods, measurement validity, and mediation analysis. To enhance scientific rigor, the authors should provide detailed justification of the sample, validate constructs with established scales, and clearly explain the statistical procedures for testing direct and mediated effects.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Hospitality Marketing, Hospitality Education, Sustainability, Ethics</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>
    <sub-article article-type="reviewer-report" id="report449140">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.193456.r449140</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Raj</surname>
                        <given-names>Neeraj</given-names>
                    </name>
                    <xref ref-type="aff" rid="r449140a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r449140a1">
                    <label>1</label>Lalit Narayan Mishra Institute of Economic Development and Social Change, Patna, India</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>12</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Raj N</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="relatedArticleReport449140" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.175471.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The manuscript makes a meaningful contribution by demonstrating that green practices influence satisfaction largely through relational and value-based pathways (particularly customer loyalty as a strong mediator), offering valuable insights for hotel managers and policymakers in emerging markets such as India.</p>
            <p> Although the manuscript is publishable in its current form, the following minor refinements may further enhance clarity and presentation:</p>
            <p> 1) Language and Grammar issue :</p>
            <p> A light proofreading is recommended to fix minor grammatical issues such as:</p>
            <p> &#x2022;&#x00a0;&#x00a0; &#x00a0;&#x201c;now a days&#x201d; &#x2192; &#x201c;nowadays&#x201d;</p>
            <p> &#x2022;&#x00a0;&#x00a0; &#x00a0;&#x201c;has become&#x201d; vs &#x201c;have become&#x201d; agreement errors (e.g., &#x201c;emissions&#x2026; have become&#x2026;&#x201d;)</p>
            <p> These improvements will enhance readability without affecting content.&#x00a0;</p>
            <p> 2) Sampling Description (Slight Clarification)</p>
            <p> The study reports data from &#x201c;star-rated hotels of Delhi&#x201d; and later states &#x201c;only five star hotels in Delhi&#x201d;. Please ensure consistency:</p>
            <p> &#x2022;&#x00a0;&#x00a0; &#x00a0;If only five-star hotels were surveyed, mention this consistently in methodology and limitation section.</p>
            <p> &#x2022;&#x00a0;&#x00a0; &#x00a0;If multiple star categories were included, specify which categories (3-star/4-star/5-star).</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Management, Tourism And Hospitality</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>
