<?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.138941.2</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>Causal relationship model of marketing innovation and competitiveness of small and medium enterprises (SMEs) with digital technologies in Thailand</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Vuttichat</surname>
                        <given-names>Soonthonsmai</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/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Patchara</surname>
                        <given-names>Piluk</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Faculty of Business Administration, Burapha University, Mueang Chonburi District, Chon Buri, Thailand</aff>
                <aff id="a2">
                    <label>2</label>Institute of Science, Innovation, and Culture, Rajamangala University of Technology Krungthep, Bangkok, Thailand</aff>
                <aff id="a3">
                    <label>3</label>College of Innovative Management, Valaya Alongkorn Rajabhat University under the Royal Patronage, Khlong Nueng, Pathum Thani, Thailand</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:patchara.pi@vru.ac.th">patchara.pi@vru.ac.th</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>2</day>
                <month>11</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>1040</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>30</day>
                    <month>10</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Vuttichat S and Patchara P</copyright-statement>
                <copyright-year>2023</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/12-1040/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> This study investigates the causal model of marketing innovation and competitiveness of small and medium enterprises (SMEs) with digital technologies in Thailand. This study aimed to investigate market orientation, digital marketing strategies, competitiveness, innovative marketing behavior, and digital marketing efficiency of SMEs.</p>
                <p>
                    <bold>Methods:</bold> We validated the causal model of digital marketing efficiency using empirical evidence to investigate the direct and indirect effects of market orientation, digital marketing strategies, and innovative marketing behavior on digital marketing efficiency. The study was conducted using a questionnaire.</p>
                <p>
                    <bold>Results:</bold> A total of 361 samples were collected using purposive sampling. A Structural Equation Model was developed and tested using LISREL software. The study found that the causal relationship model was consistent with the empirical evidence.</p>
                <p>
                    <bold>Conclusions:</bold> Digital marketing strategy and competitiveness directly positively affected innovative marketing behavior and explained 89% of the variance in innovative marketing behavior. Innovative marketing behavior directly positively affects digital marketing efficiency, and competitiveness indirectly positively affects digital marketing efficiency through innovative marketing behavior and explains the variance in digital marketing efficiency by 18%.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Market orientation</kwd>
                <kwd>Digital Marketing Strategies</kwd>
                <kwd>Competitiveness</kwd>
                <kwd>Marketing Innovative Behavior</kwd>
                <kwd>SMEs</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>National Science Research and Innovation Fund</funding-source>
                    <award-id>11/2565</award-id>
                </award-group>
                <award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/501100017170">
                    <funding-source>Thailand Science Research and Innovation</funding-source>
                </award-group>
                <award-group id="fund-3" xlink:href="http://dx.doi.org/10.13039/501100006749">
                    <funding-source>Burapha University</funding-source>
                </award-group>
                <funding-statement>This work was financially supported by (i) Burapha University (BUU), (ii) Thailand Science Research and Innovation (TSRI), and (iii) National Science Research and Innovation Fund (NSRF) (Fundamental Fund: Grant no. 11/2565).</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>An Acknowledgment section has been added to this new version.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>It is crucial for entrepreneurs to continually develop potential knowledge to tackle the challenges and opportunities that come their way effectively. This means developing new products and services, improving processes and operations, and expanding the market reach. Investing in knowledge and skill development will assist in promoting small and medium enterprises (SMEs) in Thailand, especially in the agri-food industry, which is growing rapidly in many countries. As entrepreneurs, it is also important to focus on developing abilities and competitiveness. This means creating a supply system that can serve the global market with a focus on quality over price. Unfortunately, many SMEs in the agri-food industry struggle with insufficient competitiveness. However, SMEs are the backbone of the economy in many developing countries that rely on agri-food production (
                <xref ref-type="bibr" rid="ref66">World Bank, 2018</xref>; 
                <xref ref-type="bibr" rid="ref40">Organisation for Economic Co-operation and Development (OECD), 2019</xref>; 
                <xref ref-type="bibr" rid="ref15">European Commission, 2020</xref>).</p>
            <p>According to 
                <xref ref-type="bibr" rid="ref6">Bonanno, Golgeci, and Ioppolo (2020)</xref>, 
                <xref ref-type="bibr" rid="ref47">Radicic and Escribano (2015)</xref>, and 
                <xref ref-type="bibr" rid="ref16">Faraaz and Mishra (2019)</xref>, SMEs in the agricultural food processed products industry are one of the most substantial and fastest-growing enterprises in an agri-food supply chain with the ability to enhance a wealthy industry and sustainable profits in the long term. They are often called the core foundation of the economy because they create jobs, generate income, and contribute to economic growth. The industry is a crucial sector of the economy for many food producers. In terms of products, agri-food-processed SMEs are involved in producing a wide range of food products, including canned fruits and vegetables, dried fruits, fruit juices, and frozen foods. These products are often made using traditional recipes and methods and are known for their high quality and unique flavors.</p>
            <p>With the emergence of digital technology, SMEs must embrace market-oriented strategies, innovate their marketing approaches, and develop effective digital marketing strategies to maintain competitiveness in the market. According to the European Commission&#x2019;s &#x201c;Small Business Act&#x201d; (2020), most SMEs often lack digitalization and innovation, which can hinder their ability to compete in a global marketplace. This is particularly important in the context of the COVID-19 pandemic, as many SMEs have had to adapt to new digital ways of working to stay competitive. However, many SMEs need more abilities or competitiveness, which can hinder their success and growth. Common challenges SMEs face include limited access to financing, insufficient technological capabilities, inadequate marketing strategies, and difficulties in finding and retaining skilled employees. These enterprises have a high potential for competition and seek opportunities from food industry growth trends through innovation and digital technologies (
                <xref ref-type="bibr" rid="ref58">T&#x00f3;th 
                    <italic toggle="yes">et al.</italic>, 2019</xref>). To increase competitiveness, productivity must be increased to sustainably build wealth for the country (
                <xref ref-type="bibr" rid="ref44">Porter 1990</xref>, 
                <xref ref-type="bibr" rid="ref45">2010</xref>).</p>
            <p>
                <xref ref-type="bibr" rid="ref44">Porter (1990)</xref> found that if SMEs could increase their productivity to a higher level, it would result in an advantage over competitors. If enterprises in many industrial sectors increased productivity, it would also result in a higher level of competitiveness. If numerous industries in the country increased productivity, it would lead to a higher level of competitiveness in the country eventually. To achieve this, SMEs seek opportunities from agri-food industry growth trends through marketing innovation and digital technologies (
                <xref ref-type="bibr" rid="ref23">Hossain &amp; Rahman, 2017</xref>). Marketing innovation behavior is a crucial and innovative action for SMEs to enhance their competitiveness with digital technology. Digital marketing allows SMEs to improve their marketing strategies, reach more consumers, and increase their market share. Consequently, marketing innovation behavior in agri-food processing SMEs involves various management strategies, such as creating unique product features, packaging, labeling, and developing new product lines with creative communication channels and content that appeal to consumers&#x2019; changing tastes and preferences. It also involves utilizing new marketing channels such as social media, mobile marketing, and online marketplaces to reach consumers and engage with them effectively through the mutual share of innovative learning.</p>
            <p>Learning by sharing knowledge and innovation in the organization and between organizations in the industry is essential today. SME manufacturers and entrepreneurs have tried to adapt to increase their competitiveness by joining groups for knowledge exchange and mutual sharing to create innovations through marketing innovative behavior or MIB to serve the needs of consumers and society as a key (
                <xref ref-type="bibr" rid="ref17">Flavi&#x00e1;n 
                    <italic toggle="yes">et al.</italic>, 2014</xref>). However, increasing market orientation focuses on the needs of consumers and seeks competitive advantages from the three business factors. It includes customers to meet their demands and build relationships with them, competition management to establish differentiation, and resource capability or organizational management (
                <xref ref-type="bibr" rid="ref30">Jaworski &amp; Kohli, 1996</xref>; 
                <xref ref-type="bibr" rid="ref38">Narver 
                    <italic toggle="yes">et al.</italic>, 2000</xref>), which may lead to competitiveness in SMEs is still questionable.</p>
            <p>Building competitive advantages for SMEs in the agri-food processing industry enables them to develop their market orientation continually. Promoting knowledge is essential to develop and promote entrepreneurs, particularly SMEs, in the agri-food processing industry in Thailand. These are considered the foundation and have a high proportion of supply chain system mechanisms for 70% of the country&#x2019;s economic system. SMEs have been an essential source of employment in Thailand. The sector employs approximately 20 million people, 30% of whom are engaged in manufacturing SMEs (
                <xref ref-type="bibr" rid="ref57">Office of SMEs Promotion 2020</xref>). In addition, Thai SMEs could develop a local market system to an international level with product quality and marketing innovation, regardless of price (
                <xref ref-type="bibr" rid="ref56">Tanapoompichet &amp; Swasdpeera, 2018</xref>).</p>
            <p>However, one of the challenges in the competitive enhancement of entrepreneurs is still a lack of cooperation in the supply chain system to strengthen and develop the value chain, leading to the development of marketing innovations and enhancing the ability to compete at the macro and micro levels through digital technology. It requires systematic and professional work and intermediaries with international capabilities to develop a wide range of tasks and great support from the government and regulations (
                <xref ref-type="bibr" rid="ref54">Somboonsuke, 2013</xref>, pp. 87-90). The easing of rules, regulations, and promotions to build a creative economic system through innovation, according to the World Economic Forum in 2022 (
                <xref ref-type="bibr" rid="ref67">World Economic Forum, 2022</xref>), encompasses strategies to promote policy and regulatory reforms to create an enabling environment for SME development and support the creation and strengthening of formal institutions that provide business development and financial services to SMEs on a sustainable basis through innovation with digital technology-based development, resulting in integrative innovations and digital technology for the economy and society in the industry. Although the government had plans and policies to develop and promote such systems, this generally led to the main problem, which was the readiness of SMEs to respond to innovation development, especially in the digital era (
                <xref ref-type="bibr" rid="ref51">Schenker, 2022</xref>).</p>
            <p>Moreover, the enhancement of market innovation and competitiveness of SMEs in Thailand with digital technology is necessary to study the potential of SMEs for particular products in terms of market innovation behavior and competitiveness. Innovation in marketing has become essential for SMEs to gain competitiveness in the agricultural processed food product industry. SMEs in this sector face many challenges owing to their limited resources, such as finance and technology, and the increasingly competitive market. To compete with larger firms, they must embrace marketing innovation and use digital marketing tools to promote their products effectively. This study developed the following Research Question: Research Question 1 highlights the potential of SME entrepreneurs in the agri-food products industry in terms of market orientation, digital marketing strategy, and marketing innovation behavior. Research Question 2 dealt with current competitiveness. This will enable SMEs to develop effectively owing to marketing innovation behavior and competitiveness driven by digital technology. Research Question 3 discusses digital technology that is acceptable to SMEs. Research Question 4 deals with the type of digital technology that should be applied and how to enhance market orientation, marketing innovation behavior, and competitiveness to achieve digital marketing efficiency.</p>
            <p>To overcome the challenges faced by small- and medium-sized enterprises (SMEs), they require more support and investment from the government and other stakeholders. Some measures that could be taken include improving access to technical expertise and knowledge transfer, investing in infrastructure, and streamlining the supply chain with digital marketing strategies. Promoting processed Thai agri-food products and increasing their visibility in overseas markets is also important, which will help boost the competitiveness of SMEs in this sector. With the help of digital technologies, this can be sustainably achieved.</p>
        </sec>
        <sec id="sec2">
            <title>Literature review</title>
            <sec id="sec3">
                <title>Concepts of market orientation, marketing innovative behavior, and marketing strategy</title>
                <p>The study of documents, studies, and literature review is related to five variables: market orientation, digital marketing strategy, competitiveness, marketing innovative behavior, and digital marketing efficiency.</p>
                <p>Market orientation is a classic philosophical marketing concept that focuses on the needs of consumers and society. However, market orientation centers on consumers&#x2019; demands and competitive advantages based on three determinants in business factors (
                    <xref ref-type="bibr" rid="ref30">Jaworski &amp; Kohli, 1996</xref>): customer-focused orientation, competitors and competition capability, and resource-based management or internal management. According to 
                    <xref ref-type="bibr" rid="ref9">Chinlumprasert and Tawabutr (2019)</xref>, there is a relationship between market orientation and digital marketing among SMEs in Thailand. The digital marketing strategy in this study applied a digital marketing mix consisting of seven factors: product, price, place, promotion, personnel, process, and physical evidence of digital technology (
                    <xref ref-type="bibr" rid="ref35">Kotler &amp; Armstrong, 2020</xref>). Additionally, marketing innovative behavior (MIB), according to 
                    <xref ref-type="bibr" rid="ref52">Scott and Bruce (1994)</xref>, refers to the following three systematic thinking processes: The first step is idea generation to identify new concepts or ideas to solve problems or find solutions. The first step is idea generation to identify new concepts or ideas to solve problems or find the solution. The second step is idea promotion, which builds a network of cooperation and supports new ideas. The last step is idea realization, which applies new ideas to practice and action.</p>
                <p>Kaplan proposed a model of enterprise performance, the so-called Balance Score Card (BSC), which consists of modifying a BSC concept as well as a digital marketing concept for the digital marketing efficiency of SMEs as digital enterprise performance. Three factors are involved: learning development, sales, and technology engagement (
                    <xref ref-type="bibr" rid="ref35">Kotler &amp; Armstrong, 2020</xref>). 
                    <xref ref-type="bibr" rid="ref44">Porter (1990)</xref> finds that competitive strategy and competitiveness are related to the marketing efficiency of business entrepreneurs in a particular country. The key theoretical concept is based on competitive advantage theory, which is a modified diamond model to consider and assess the current situation of significant business environment factors (
                    <xref ref-type="bibr" rid="ref45">Porter, 2010</xref>) of SMEs in the agri-food processed product sector, consisting of demand conditions, production factor conditions, firm strategy, structure, and rivalry, and related and supporting industries. Another external factor also plays a role in the industry&#x2019;s competitive advantage, namely, government and agency support.</p>
            </sec>
            <sec id="sec4">
                <title>Market orientation and digital marketing efficiency</title>
                <p>Studies on market orientation were likely conducted by considering behavior and processes rather than thinking about the relationship between them (
                    <xref ref-type="bibr" rid="ref30">Jaworski &amp; Kohli, 1996</xref>). 
                    <xref ref-type="bibr" rid="ref31">Jones (1996)</xref> found that the market orientation of small businesses is positively related to customer loyalty, returns on sales, and sales growth in the long term. A relationship was found between market orientation and digital marketing efficiency (
                    <xref ref-type="bibr" rid="ref50">Ruekert, 1992</xref>; 
                    <xref ref-type="bibr" rid="ref29">Jaworski &amp; Kohli, 1993</xref>; 
                    <xref ref-type="bibr" rid="ref43">Pelham, 2000</xref>; 
                    <xref ref-type="bibr" rid="ref14">El Mandour &amp; Lahlou, 2021</xref>) by measuring digital marketing efficacy in terms of sales growth and profits, market share, organizational engagement, new product development success, and product quality. However, SMEs may have a strong market orientation, and many do not invest sufficient resources in digital marketing, which can limit their growth potential (
                    <xref ref-type="bibr" rid="ref9">Chinlumprasert &amp; Tawabutr, 2019</xref>).</p>
                <p>In addition, 
                    <xref ref-type="bibr" rid="ref12">Day and Wenslay (1998)</xref> clearly indicated that formulating a marketing strategy based on market orientation requires a balance between customer market orientation, emphasis on competition, and internal activity coordination as the core of meeting customer needs. This study measured digital marketing efficacy in terms of employee learning development, sales, and technology engagement. The results of the above study for research 
                    <xref ref-type="statement" rid="state7">hypothesis 1</xref> are as follows.
                    <statement id="state1">
                        <label>H
                            <sub>1</sub>:</label>
                        <p>Market orientation positively and directly influenced digital marketing efficiency.</p>
                    </statement>
                </p>
            </sec>
            <sec id="sec5">
                <title>Competitiveness and digital marketing efficiency</title>
                <p>
                    <xref ref-type="bibr" rid="ref11">Day (1994)</xref> conducted a study on the capabilities of market-driven organizations and found that marketing in the organization was driven by market surveys and the ability to connect with customers. It is supported by 
                    <xref ref-type="bibr" rid="ref64">Weerawardena, J. and A. O&#x2019;Cass (2004)</xref>, who conducted a study on exploring the characteristics of the market-driven firms and antecedents to sustained competitive advantage and found that entrepreneurship played an essential role in leading to market capacity as a mechanism to drive or encourage the organization to seek new markets or marketing capabilities as well as introduce new products based on entrepreneurial conditions. Senior executives would play a role in generating creative ideas and taking a risk in new business operations. The five aspects of comprehensive and reinforced digital marketing competitiveness and capabilities are as follows. First, we investigated an organization&#x2019;s current market capacity. The second is future capacity demand. Third, bottom-up design of the process; fourth, involved top-down direction and commitment&#x2014;lastly, creative use of information technology and continuous progress inspection.</p>
                <p>This study also compiled theoretical ideas to explain marketing direction, and 
                    <xref ref-type="bibr" rid="ref13">Drucker (1985)</xref> found that successful entrepreneurs had everything in common: a commitment to systematically managing innovation. For innovation sources, success is the result of attention-seeking innovative opportunities that can be found in a few scenarios. Four sources of opportunity in a firm or industry may come from unexpected events: incompatibility, process requirements, changes in the industry and market, and opportunity sources outside the firm, such as society, government and agency, related and supporting industries, and the environment. These opportunities were business and management challenges such as demographic changes. Changes in perception and the new knowledge and sources mentioned above, both inside and outside the organization, can create opportunities for innovation when the enterprise is at risk. There may be conflicts, and the innovation potential may be in more than one place at the same time, creating innovative opportunities and enhancing the benefits through competitive digital marketing technologies (
                    <xref ref-type="bibr" rid="ref68">Wu &amp; Chen, 2021</xref>; 
                    <xref ref-type="bibr" rid="ref61">Wang &amp; Ku, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref72">Zmudzinski &amp; Zaborek, 2018</xref>). The research hypotheses can be formulated as follows:
                    <statement id="state2">
                        <label>H
                            <sub>2</sub>:</label>
                        <p>Competitiveness positively and directly influenced digital marketing efficacy.</p>
                    </statement>
                </p>
            </sec>
            <sec id="sec6">
                <title>Marketing innovative behavior and digital marketing efficiency</title>
                <p>Studies on innovative marketing behavior and digital marketing efficiency are as follows: A study by 
                    <xref ref-type="bibr" rid="ref70">Zahra, Ahmad, and Waheed (2017)</xref> found that with marketing innovative behavior in enterprise, employee learning happens through the ethical behavior of organizational leaders, making subordinates or followers perceive and feel the freedom to think creatively in work and to play a role that encourages proactive work and controls the outcome of the work. For SMEs, 
                    <xref ref-type="bibr" rid="ref20">Haddad, Williams, Hammoud, and Dwyer (2019)</xref> found that innovation initiative behavior started from an important element, which is an idea, from both knowledge sharing among employees and communication with customers by relying on the support of senior executives about brainstorming from many parties to test and put in practice and action. 
                    <xref ref-type="bibr" rid="ref24">Hsu and Wang (2017)</xref> examined the impact of digital marketing on innovation in SMEs. The study found that digital marketing strategies such as social media marketing and search engine optimization have a positive impact on marketing innovation in SMEs. They also found that SMEs that implemented digital marketing strategies were more innovative in their marketing approaches and achieved higher levels of business growth. Another study by 
                    <xref ref-type="bibr" rid="ref48">Ratchford (2019)</xref> investigated the impact of digital marketing on innovation in SMEs. The study found that SMEs that implemented digital marketing strategies, such as social media and mobile marketing, were more likely to develop new and innovative marketing approaches. They also found that SMEs that adopted digital marketing strategies had higher levels of business growth.</p>
                <p>Marketing innovative behavior is always supported by an innovative culture in the organization as a critical component of the survival and growth of SMEs in terms of competitiveness, offering different value to customers than competitors, resulting in reduced costs and improved workflow efficiency, leading to organizational success (
                    <xref ref-type="bibr" rid="ref39">Noefer, Stegmaier, Molter, &amp; Sonntag, 2009</xref>; 
                    <xref ref-type="bibr" rid="ref33">Kong &amp; Li, 2018</xref>). On the other hand, some studies confirmed that when they perceived an increased task demand with time pressure, they became stressed leading to work-life imbalances (
                    <xref ref-type="bibr" rid="ref5">Attiq, Wahid, Javaid, &amp; Kanwal, 2017</xref>; 
                    <xref ref-type="bibr" rid="ref49">Ren &amp; Zhang, 2015</xref>) with employees (
                    <xref ref-type="bibr" rid="ref3">Aryee, Walumbwa, Zhou, &amp; Hartnell, 2012</xref>; 
                    <xref ref-type="bibr" rid="ref33">Kong &amp; Li, 2018</xref>; 
                    <xref ref-type="bibr" rid="ref28">Janssen, 2000</xref>). The findings of these studies support the idea that there is a strong relationship between digital marketing strategy and marketing innovation of SMEs in agricultural food processed products in Thailand and other countries. By adopting digital marketing strategies, such as social media and mobile marketing, SMEs can be more innovative in their marketing approaches and achieve higher levels of business growth. In turn, this can lead to increased long-term market success. From the above, research 
                    <xref ref-type="statement" rid="state9">hypothesis 3</xref> is established as follows:
                    <statement id="state3">
                        <label>H
                            <sub>3</sub>:</label>
                        <p>Marketing innovative behavior positively and directly influenced digital marketing efficiency.</p>
                    </statement>
                </p>
            </sec>
            <sec id="sec7">
                <title>The relationship between market orientation, competitiveness, marketing strategy and innovative behavior and digital marketing efficiency</title>
                <p>Market orientation includes modifying the current customer, current competitor, future customer, future competitor, and marketing technology directions of the business (
                    <xref ref-type="bibr" rid="ref2">Apirungruengsakul &amp; Pasunon, 2020</xref>). It is indirectly related to marketing achievements through innovative marketing behavior. 
                    <xref ref-type="bibr" rid="ref22">Henard and Szymanski (2001)</xref> find that innovation focuses on the efficiency of creating new products and competitiveness. The organization should be managed to set objectives and strategies and work as a team before introducing new products. Opinions should be in the same direction throughout the organization, as well as participation from various departments to produce ideas and create new products together for a variety of specialties and efficiency. The results of the study are consistent with those of many scholars who found that innovation affects market efficiency and competitiveness (
                    <xref ref-type="bibr" rid="ref59">Tsai, 2001</xref>; 
                    <xref ref-type="bibr" rid="ref25">Hult, Snow, &amp; Kandemir, 2003</xref>; 
                    <xref ref-type="bibr" rid="ref26">Hult, Hurley, &amp; Knight, 2004</xref>; 
                    <xref ref-type="bibr" rid="ref55">Taiminen &amp; Karjaluoto, 2015</xref>). 
                    <xref ref-type="bibr" rid="ref27">Indrawati, Caska, and Suarman (2020)</xref> found that there are five digital marketing supportive factors of SMEs with priority from highest to lowest: funding, support from the government, business partners, the potential of human resources, and the economic conditions conducive to the efficiency of digital marketing from the integration of SMEs. 
                    <xref ref-type="bibr" rid="ref7">Carpinetti and Lima (2009)</xref> further conclude that there should be a regulatory agency for the integration of SMEs to facilitate collaboration between enterprises in the development of innovation to increase competitiveness, leading to mutual marketing efficiency.</p>
                <p>
                    <xref ref-type="bibr" rid="ref34">Konjane and Soonthonsmai (2016)</xref> found that most SMEs in the agricultural and organic food industry were competitive overall at a high level. Most learned through production innovation exchanges from the public sector. Moreover, there has been a transfer of learning by exchanging production innovation with other entrepreneurs in terms of production technology to SMEs owners, while exchanging marketing innovations was found to have never been learned and never had knowledge exchange on marketing innovations with other entrepreneurs. SME entrepreneurs with different learning through exchanges on marketing innovation had different competitiveness in terms of demand, competitive context, company strategy, government, and opportunities. Also, SMEs entrepreneurship was found to be positively related at a moderate level to the competitiveness of entrepreneurs engaged in the production and distribution of agri-food processed and organic products throughout Thailand. This positive relationship was observed in the exchange of knowledge on production innovation and the transfer of learning through the exchange of marketing innovations.</p>
                <p>For the relationships of innovation and competitiveness with marketing efficiency, the researcher applied 
                    <xref ref-type="bibr" rid="ref52">Scott and Bruce&#x2019;s (1994)</xref> concept of marketing innovative behavior and 
                    <xref ref-type="bibr" rid="ref22">Henard and Szymanski&#x2019;s (2001)</xref> study on new product development. The findings revealed that innovation focused on the efficient creation of new products, while competitiveness referred to the organization&#x2019;s ability to set objectives, develop strategies, and collaborate as a team before introducing new products&#x2014;what is known as marketing innovative behavior. Opinion-related innovation should be in the same direction throughout the organization, as well as participation from various departments to produce ideas and create new products together for a variety of specialties and efficiency, resulting in the competitiveness of the organization. This is consistent with many scholars who found that innovation is interrelated to competitiveness (
                    <xref ref-type="bibr" rid="ref59">Tsai, 2001</xref>; 
                    <xref ref-type="bibr" rid="ref25">Hult, Snow &amp; Kandemir, 2003</xref>; 
                    <xref ref-type="bibr" rid="ref26">Hult 
                        <italic toggle="yes">et al.</italic>, 2004</xref>).</p>
                <p>The results of the study were also consistent with those of 
                    <xref ref-type="bibr" rid="ref36">Lee and Hsieh (2010)</xref>, who found that innovation capability, sustainable competitive advantage, and entrepreneurship indirectly affect sustainable advantages through marketing capability and innovation capability. Market capability did not directly affect sustainable competitive advantage but was indirectly affected by innovation capability. Innovation capability also directly affects competitive advantage (
                    <xref ref-type="bibr" rid="ref65">Wongsansukcharoen and Thaweepaiboonwong, 2023</xref>).</p>
                <p>Therefore, marketing innovation behavior can be a key driver of digital marketing performance for SMEs in agri-food processed products in Thailand (
                    <xref ref-type="bibr" rid="ref32">Kaewmong &amp; Soytong, 2020</xref>). By developing creative and effective digital marketing campaigns that leverage new digital marketing channels, adapt to changing market conditions, improve product offerings, and enhance customer experience, SMEs can achieve greater engagement, conversions, and long-term success through digital marketing strategies. Digital marketing efficiency or performance through innovative marketing behavior and digital marketing strategies results from a reflection of the efficiency of long-term successful digital marketing to develop potential and competitive advantages and the exchange of knowledge and innovation among the group (
                    <xref ref-type="bibr" rid="ref35">Kotler &amp; Armstrong, 2020</xref>). Based on the above results, research hypotheses 4, 5, and 6 were established as follows:
                    <statement id="state4">
                        <label>H
                            <sub>4</sub>:</label>
                        <p>Market orientation positively and indirectly influenced digital marketing efficacy through marketing innovative behavior.</p>
                    </statement>
                    <statement id="state5">
                        <label>H
                            <sub>5</sub>:</label>
                        <p>Digital marketing strategy positively and indirectly influenced digital marketing efficacy through marketing innovative behavior.</p>
                    </statement>
                    <statement id="state6">
                        <label>H
                            <sub>6</sub>:</label>
                        <p>Competitiveness positively and indirectly influenced digital marketing efficiency of SMEs through marketing innovative behavior.</p>
                    </statement>
                </p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="methods">
            <title>Methods</title>
            <sec id="sec9">
                <title>Conceptual framework</title>
                <p>After conducting a comprehensive literature review on the topic of digital marketing for SMEs in different contexts, the researcher summarized the conceptual framework of the causal relationship model of marketing innovation and the competitiveness of SMEs with digital technologies in Thailand (as illustrated in 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). The framework highlights the interdependence between marketing innovation and digital technologies, and how they contribute to the overall competitiveness of SMEs in the Thai market. This study provides valuable insights for SMEs seeking to enhance their digital marketing strategies and gain a competitive edge in the industry.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Causal relationship model of marketing innovation and competitiveness of small and medium enterprises (SMEs) with digital technologies in Thailand.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/158244/498e8f62-d57c-46ca-8023-c3abdf2a6b2c_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec10">
                <title>Population and samples</title>
                <p>The study focused on entrepreneurs and decision-makers in SMEs as well as leaders and members of community enterprises in agricultural food processed products in Thailand. To ensure statistical accuracy, the sample size for the structural equation modeling (SEM) was 10-15 times the observed variable (
                    <xref ref-type="bibr" rid="ref21">Hair, Black, Babin, Anderson &amp; Tatham, 2014</xref>), resulting in a sample size of 345. Additionally, 55 samples, or 20% of the samples, were spared in case of data loss, resulting in 361 samples collected. Using 23 variables in the model, this study aimed to provide valuable insights into the factors that influence success in these types of enterprises.</p>
            </sec>
            <sec id="sec11">
                <title>Sampling method</title>
                <p>The samples were selected by purposive sampling using an online questionnaire. The researcher sent a letter to SME entrepreneurs in agri-food processed products to ask for assistance in collecting research data, along with a link to the questionnaire in a Google form format to inform the sample to know the details according to the requirements by using screening questions.</p>
            </sec>
            <sec id="sec12">
                <title>Instruments</title>
                <p>This is quantitative research as survey research. The data collection instrument was a Likert-scale questionnaire divided into five sections, verified by experts for advice and improvements. The revised questionnaire was then taken to five experts to examine the suitability in terms of content, the language used, and content validity by calculating the index of item objective congruence (IOC), and the IOC obtained passed the criteria, not less than .80 on all items (
                    <xref ref-type="bibr" rid="ref21">Hair, Black, Babin, Anderson, &amp; Tatham, 2014</xref>). The questionnaire was then used to try out 20 sets of non-sample agricultural product entrepreneurs to check the reliability of the questionnaire by calculating Cronbach&#x2019;s alpha coefficient for the following five factors. These were market orientation, competitiveness, marketing strategy, marketing innovative behavior, and digital marketing efficiency, resulting in .912, .879, .833, .854, and .861, respectively, which were considered to have standardized reliability coefficients not less than .7 (
                    <xref ref-type="bibr" rid="ref10">Cronbach, 1951</xref>) and can be used as a tool for data collection. The validity of the factor analysis was corroborated through the KMO, with a value of 0.828 and a highly significant Baltrett sphericity test. The alpha coefficients obtained, which are approximately equal to or higher than .70 are considered acceptable for measuring the variables in this study (
                    <xref ref-type="bibr" rid="ref73">Nunnally, 1978</xref>).</p>
            </sec>
            <sec id="sec13">
                <title>Data collection</title>
                <p>The data was collected online to cover consumers and to reduce the limitation of space. Google form was used, through social media platforms in certain groups of SMEs in agri-food processed industry in Thailand.</p>
            </sec>
            <sec id="sec14">
                <title>Data analysis</title>
                <p>Descriptive statistics were used to analyze data, such as frequency, percentage, mean, standard deviation, and skew and kurtosis. Inferential statistics included confirmatory factor analysis and structural equation model to examine the consistency of the research model with the empirical data by chi-square (&#x03c7;
                    <sup>2</sup>), relative chi-square (&#x03c7;
                    <sup>2</sup>/df), goodness-of-fit index (GFI), adjusted goodness-of-fit (AGFI), comparative fit index (CFI), and root mean square residuals (RMSEA). For structural equation analysis, the direct and indirect influences were analyzed according to the conceptual framework by path analysis.</p>
            </sec>
            <sec id="sec15">
                <title>Ethical approval</title>
                <p>Before conducting this study, a written request was made to the BUU Ethics Committee for Human Research, Burapha University Institutional Review Board. After reviewing our request, the project was approved (IRB2 &#x2013; 037/2565) by the ethics committee on April 18, 2022. Participants were given the purpose of the research and were asked to participate in the study; they welcomed it. Written consent was obtained from all participants, and they were informed that their anonymized data would be published.</p>
            </sec>
        </sec>
        <sec id="sec16" sec-type="results">
            <title>Results</title>
            <p>The analysis results of digital marketing efficacy level with market orientation, digital marketing strategy, competitiveness, and marketing innovative behavior of SMEs were shown based on research objectives as follows (
                <xref ref-type="bibr" rid="ref60">Vuttichat and Patchara, 2023</xref>):</p>
            <p>The results of the study on market orientation, digital marketing strategy, competitiveness, marketing innovative behavior, and digital marketing efficiency of SMEs were presented as shown 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>Mean and standard deviation (S.D.) of market orientation, digital marketing strategy, competitiveness, marketing innovative behavior, and digital marketing efficiency of small and medium enterprises (SMEs) (n = 361).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Factors, causes, and effects of digital marketing of SMEs</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">No of items
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>1</sup>
                                </xref>
                            </th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <inline-formula>
                                    <mml:math display="inline">
                                        <mml:mover accent="true">
                                            <mml:mi>X</mml:mi>
                                            <mml:mo stretchy="true">&#x00af;</mml:mo>
                                        </mml:mover>
                                    </mml:math>
                                </inline-formula>
                            </th>
                            <th align="left" colspan="1" rowspan="1" valign="top">S.D.</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Level
                                <xref ref-type="table-fn" rid="tfn2">
                                    <sup>2</sup>
                                </xref>
                            </th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Order</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Market orientation</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.69</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.69</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Digital marketing strategy</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">36</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.42</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.75</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Competitiveness</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.97</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.61</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Marketing innovative behavior</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.86</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.70</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Digital marketing efficiency</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.69</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>
                                <sup>1</sup>
                            </label>
                            <p>The number of items has been checked for construct validity by measuring relationship model.</p>
                        </fn>
                        <fn id="tfn2">
                            <label>
                                <sup>2</sup>
                            </label>
                            <p>The mean assessment are as follows: 4.21 &#x2013; 5.00 = Highest, 3.41 &#x2013; 4.20 = High, 2.61 &#x2013; 3.40 = Moderate, 1.81 &#x2013; 2.60 = Low, 1.00 &#x2013; 1.80 = Lowest.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>The data presented in 
                <xref ref-type="table" rid="T1">Table 1</xref> show that SMEs have a high level of market orientation, digital marketing strategy, competitiveness, innovative marketing behavior, and digital marketing efficiency. The highest mean was found for digital marketing efficiency (
                <inline-formula>
                    <mml:math display="inline">
                        <mml:mover accent="true">
                            <mml:mi mathvariant="normal">X</mml:mi>
                            <mml:mo stretchy="true">&#x00af;</mml:mo>
                        </mml:mover>
                    </mml:math>
                </inline-formula> = 4.00), indicating that SMEs effectively utilize digital marketing tools to reach their target audience. Competitiveness also scored high on the mean scale (
                <inline-formula>
                    <mml:math display="inline">
                        <mml:mover accent="true">
                            <mml:mi mathvariant="normal">X</mml:mi>
                            <mml:mo stretchy="true">&#x00af;</mml:mo>
                        </mml:mover>
                    </mml:math>
                </inline-formula> = 3.97), suggesting that SMEs can compete well in their respective markets.</p>
            <p>However, digital marketing strategy has the lowest mean (
                <inline-formula>
                    <mml:math display="inline">
                        <mml:mover accent="true">
                            <mml:mi mathvariant="normal">X</mml:mi>
                            <mml:mo stretchy="true">&#x00af;</mml:mo>
                        </mml:mover>
                    </mml:math>
                </inline-formula> = 3.42), which may indicate that SMEs need to improve their overall approach to digital marketing. The standard deviation for the data was between .61-.75, with digital marketing strategy having the highest deviation (S.D. = .75). This suggests a significant amount of variability in the data for digital marketing strategies, which may indicate that SMEs have varying levels of success with their digital marketing strategies.</p>
            <p>Marketing innovation behavior also has a high standard deviation (
                <inline-formula>
                    <mml:math display="inline">
                        <mml:mover accent="true">
                            <mml:mi mathvariant="normal">X</mml:mi>
                            <mml:mo stretchy="true">&#x00af;</mml:mo>
                        </mml:mover>
                    </mml:math>
                </inline-formula> = .70), indicating that SMEs may have different approaches to innovative marketing techniques. Finally, digital marketing efficacy has the lowest standard deviation (
                <inline-formula>
                    <mml:math display="inline">
                        <mml:mover accent="true">
                            <mml:mi mathvariant="normal">X</mml:mi>
                            <mml:mo stretchy="true">&#x00af;</mml:mo>
                        </mml:mover>
                    </mml:math>
                </inline-formula> = .69), suggesting that SMEs are consistently efficient in their digital marketing efforts. Overall, the data suggest that SMEs are generally successful in their digital marketing endeavors but may benefit from a more focused and strategic approach.</p>
            <p>The results of the consistency of the causal relationship model of marketing innovation and competitiveness of SMEs with digital technologies in Thailand based on hypothesis and empirical data according to objective 2 can be shown in 
                <xref ref-type="table" rid="T2">Table 2</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>The results of the consistency of the causal relationship model of marketing innovation and competitiveness of small and medium enterprises (SMEs) with digital technologies in Thailand based on hypotheses.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Statistics used to measure the consistency</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Criteria</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Obtained value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Level of consistency</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Chi-square (&#x03c7;
                                <sup>2</sup>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">p&gt;.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Relative Chi-square (&#x03c7;
                                <sup>2</sup>/df)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;3.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.31</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Goodness-of-fit Index (GFI)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&gt;.95</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.98</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Adjusted Goodness-of-fit (AGFI)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&gt;.90</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.93</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Comparative Fit Index (CFI)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&gt;.95</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Root Mean Square Residuals (RMSEA)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;05</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.03</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Standardized Root Mean Square Residual (SRMR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.04</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>
                <xref ref-type="table" rid="T2">Table 2</xref> shows the results of the consistency of the causal relationship model of marketing innovation and competitiveness of SMEs with digital technologies in Thailand based on hypotheses and empirical data. The study found that factor measurement models in the causal relationship model were consistent with empirical data as shown in 
                <xref ref-type="fig" rid="f2">Figure 2</xref> with &#x03c7;
                <sup>2</sup>/df less than 3, CFI and GFI greater than.95, and RMSEA and SRMR less than 0.05 (
                <xref ref-type="bibr" rid="ref62">Wanichabuncha, 2013</xref>).</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>A factor measurement model for the causal relationship model of marketing innovation and competitiveness of small and medium enterprises (SMEs) with digital technologies in Thailand.</title>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/158244/498e8f62-d57c-46ca-8023-c3abdf2a6b2c_figure2.gif"/>
            </fig>
            <p>
                <xref ref-type="fig" rid="f2">Figure 2</xref> shows a factor measurement model for the causal relationship model of marketing innovation and competitiveness of SMEs with digital technologies with the empirical data having good consistency. The statistics for measurement were all acceptable (&#x03c7;
                <sup>2</sup> = 81.14, df = 62, p=.05, &#x03c7;
                <sup>2</sup>/df = 1.31, CFI = 1.00, GFI = .98, AGFI = .93, RMSEA = .03, SRMR = .04) (
                <xref ref-type="bibr" rid="ref62">Wanichabuncha, 2013</xref>).</p>
            <p>The analysis results of direct and indirect effects of factors related to digital marketing efficiency of SMEs in agri-food processed products based on objective 3 were shown in 
                <xref ref-type="table" rid="T3">Table 3</xref>.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>Direct, indirect, and total effects of digital marketing efficiency of small and medium enterprises (SMEs) in agri-food processed products industry.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="3" valign="top">Independent variables</th>
                            <th align="left" colspan="6" rowspan="1" valign="top">Dependent variables</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="3" rowspan="1" valign="top">Marketing innovative behavior (INNOV)</th>
                            <th align="left" colspan="3" rowspan="1" valign="top">Digital marketing efficiency (DIGIMARK)</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">DE</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">IE</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">TE</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">DE</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">IE</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">TE</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Market orientation (MARPO)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-.08 (.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-.08 (.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.07 (.07)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-.04 (.05)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.03 (.06)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Digital marketing strategy (STRATEGI)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.28
                                <xref ref-type="table-fn" rid="tfn4">*</xref> (.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.28
                                <xref ref-type="table-fn" rid="tfn4">*</xref> (.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">- (.08)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.15 (.08)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.15</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Competitiveness (COMPETE)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.76
                                <xref ref-type="table-fn" rid="tfn3">**</xref> (.10)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.76
                                <xref ref-type="table-fn" rid="tfn3">**</xref> (.10)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-.16 (.09)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.39
                                <xref ref-type="table-fn" rid="tfn4">*</xref> (.22)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.23
                                <xref ref-type="table-fn" rid="tfn3">**</xref> (.26)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Marketing innovative behavior (INNOV)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">.52
                                <xref ref-type="table-fn" rid="tfn4">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>R</bold>
                                <sup>
                                    <bold>2</bold>
                                </sup>
                            </td>
                            <td align="left" colspan="3" rowspan="1" valign="top">.89</td>
                            <td align="left" colspan="3" rowspan="1" valign="top">.18</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>
                        <bold>Note:</bold> DE refers to Direct Effect, IE refers to Indirect Effect, TE refers to Total Effect.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn3">
                            <label>**</label>
                            <p>Statistical significance of .01.</p>
                        </fn>
                        <fn id="tfn4">
                            <label>*</label>
                            <p>Statistical significance of .05.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>The results of the statistical initial investigation of the data showed that all variables had skewness less than &#x00b1;3, kurtosis less than &#x00b1;10, and Kolmogorov-Smirnov is greater than the significance level of .05, indicating that data distribution was normal according to the preliminary agreement of the structural equation model.</p>
            <p>
                <xref ref-type="table" rid="T3">Table 3</xref> shows the effect of market orientation (MARPO), digital marketing strategy (STRATEGI), competitiveness (COMPETE), and innovative marketing behaviors (INNOV) on the digital marketing efficiency of SMEs in agri-food processed products as standard values. The hypothesis testing results are as follows:
                <statement id="state7">
                    <label>Hypothesis 1</label>
                    <p>(H1): Market orientation does not positively or directly influence digital marketing, with an effective coefficient of.07.</p>
                </statement>
                <statement id="state8">
                    <label>Hypothesis 2</label>
                    <p>(H2): Competitiveness does not positively or directly influence digital marketing efficacy, with an effective coefficient of -.16.</p>
                </statement>
                <statement id="state9">
                    <label>Hypothesis 3</label>
                    <p>(H3): Innovative marketing behavior positively and directly influences digital marketing, with an effective coefficient of .52.</p>
                </statement>
                <statement id="state10">
                    <label>Hypothesis 4</label>
                    <p>(H4): Market orientation does not positively or indirectly influence digital marketing efficacy through marketing innovative behavior, with an effective coefficient of -.04. Moreover, market orientation does not positively or directly influence innovative marketing behavior, with an effective coefficient of -.08.</p>
                </statement>
                <statement id="state11">
                    <label>Hypothesis 5</label>
                    <p>(H5): A digital marketing strategy does not indirectly influence digital marketing efficacy through marketing innovative behavior, with an effective coefficient of .15. However, marketing strategy positively and directly influences innovative marketing behavior, with an effective coefficient of .28.</p>
                </statement>
                <statement id="state12">
                    <label>Hypothesis 6</label>
                    <p>(H6): Competitiveness indirectly influences digital marketing efficacy through innovative marketing behavior, with an effective coefficient of .39. Competitiveness positively and directly influences innovative marketing behavior, with an effective coefficient of .76.</p>
                </statement>
            </p>
            <p>The causal relationship model of marketing innovation and the competitiveness of SMEs with digital technologies in Thailand is consistent with the empirical data. For the prediction coefficient (R2), market orientation, digital marketing strategy, and competitiveness all explained the variance in innovative marketing behavior by 89% and the variance in digital marketing efficiency both directly and indirectly through innovative marketing behavior by 18%.</p>
        </sec>
        <sec id="sec17" sec-type="discussion">
            <title>Discussion</title>
            <p>The results of the causal relationship model of marketing innovation and competitiveness of SMEs with digital technologies in Thailand can be discussed based on the following research objectives.</p>
            <p>The results showed that digital marketing efficiency of small and medium enterprises (SMEs) was at a high level. This was consistent with 
                <xref ref-type="bibr" rid="ref34">Konjane and Soonthonsmai (2016)</xref>, who found that most Thai SMEs entrepreneurs had competitiveness overall at a high level with exchange and transfer production innovation and exchange of marketing innovation, which was in line with innovative marketing behavior and digital marketing strategy. This is consistent with Jones (
                <xref ref-type="bibr" rid="ref31">Jones, 1996</xref>) who found that when a small enterprise&#x2019;s market orientation increases, it affects the return on sales and business sales growth. In addition, a study by 
                <xref ref-type="bibr" rid="ref1">Amofah, Gyamfi, and Tutu (2016)</xref> examined the relationship between marketing mix and marketing efficiency and found that product, price, promotion, personnel, and physical evidence influenced marketing efficiency in terms of customer repurchase decisions. This was supported by 
                <xref ref-type="bibr" rid="ref70">Zahra 
                    <italic toggle="yes">et al.</italic> (2017)</xref>, who found that increased innovative marketing behavior also resulted in increased business performance and market efficiency. Moreover, 
                <xref ref-type="bibr" rid="ref20">Haddad 
                    <italic toggle="yes">et al.</italic> (2019)</xref> explored strategies for implementing innovation and found that it could reduce costs and optimize processes and management in various areas, including marketing, and affect the survival and growth small and medium enterprises (SMEs) business.</p>
            <p>The causal relationship model of marketing innovation and competitiveness of small and medium enterprises (SMEs) in agri-food products industry with digital technologies in Thailand based on hypothesis and empirical data had a good consistency, consisting of market orientation, digital marketing strategy, marketing innovative behavior, and digital marketing efficacy, indicating market orientation in customer and customer management, competitor and competition management, and resources or organizational management (
                <xref ref-type="bibr" rid="ref30">Jaworski &amp; Kohli, 1996</xref>) was related to digital marketing efficiency. This is consistent with studies by several scholars with consistent results (
                <xref ref-type="bibr" rid="ref37">Narver &amp; Slater, 1990</xref>; 
                <xref ref-type="bibr" rid="ref50">Ruekert, 1992</xref>; 
                <xref ref-type="bibr" rid="ref29">Jaworski &amp; Kohli, 1993</xref>; 
                <xref ref-type="bibr" rid="ref43">Pelham, 2000</xref>; 
                <xref ref-type="bibr" rid="ref38">Narver, Slater, &amp; MacLachlan, 2000</xref>).</p>
            <p>This model has been confirmed by studies on marketing strategies in the digital era, where consumption methods have been changing. Causal relationship model of marketing innovation and competitiveness of small and medium-sized enterprises (SMEs) with digital technologies in Thailand. This supports the results of 
                <xref ref-type="bibr" rid="ref2">Apirungruengsakul and Pasunon (2020)</xref>, who found that effective digital marketing should be responsive to consumers&#x2019; personal needs by offering promotions on various channels, especially contact and increased convenience for purchasing through an automated program. Marketing innovation behavior is positively related to digital marketing efficiency. This was consistent with a study by 
                <xref ref-type="bibr" rid="ref70">Zahra 
                    <italic toggle="yes">et al.</italic> (2017)</xref>, who found that employees&#x2019; learning in the organization often occurs through the ethical behavior of leaders who play a role in motivating proactive work. In addition, 
                <xref ref-type="bibr" rid="ref20">Haddad 
                    <italic toggle="yes">et al.</italic> (2019)</xref> found that for small and medium enterprises (SMEs), innovations that were key process components included initiatives that required management support to brainstorm ideas from multiple parties and then put them to the test and into practice. This creates an innovative culture in an enterprise that is different from its competitors. This can reduce costs and increase efficiency in work processes, leading to organizational success. However, 
                <xref ref-type="bibr" rid="ref5">Attiq 
                    <italic toggle="yes">et al.</italic> (2017)</xref>, 
                <xref ref-type="bibr" rid="ref49">Ren and Zhang (2015)</xref>, and 
                <xref ref-type="bibr" rid="ref33">Kong and Li (2018)</xref> found that the relationship may occur in the opposite direction in some organizations and in some highly competitive situations. In other words, market innovative behavior with increasing demands for efficiency may result in time pressures, stress, and work-life imbalances for employees, as the hypothesis testing result of H1, which found that market orientation did not positively and directly influence digital marketing efficiency.</p>
            <p>There are several potential reasons for the lack of a relationship between market orientation and the digital marketing efficacy of SMEs in agri-food processed products in Thailand, such as limited digital marketing expertise, insufficient investment in digital marketing, and lack of differentiation in their products. SMEs in Thailand may need more expertise and knowledge to leverage digital marketing strategies effectively. Even if an enterprise has a strong market orientation, it may need more technical knowledge or resources to implement effective digital marketing campaigns. Most small and medium enterprises (SMEs) in Thailand may need to invest more resources in digital marketing despite having a strong market orientation (
                <xref ref-type="bibr" rid="ref9">Chinlumprasert &amp; Tawabutr, 2019</xref>). This may be due to a need for more understanding of the potential benefits of digital marketing or limited financial resources allocated to this area. Additionally, there needed to be more differentiation in the products. Agri-food processed products may be seen as commodities with little differentiation, making it difficult for small and medium enterprises (SMEs) to stand out in the digital space. In such a scenario, digital marketing campaigns may not effectively drive sales or build brand awareness, even if a company has a strong market orientation. Furthermore, market dynamics are a major obstacle (
                <xref ref-type="bibr" rid="ref8">Chinakidzwa &amp; Phiri, 2020</xref>). Broader market dynamics may influence the relationship between market orientation and digital marketing performance in Thailand&#x2019;s agri-food processed products industry. For example, the level of competition or the size of the market may impact the effectiveness of digital marketing campaigns regardless of a company&#x2019;s market orientation. Similarly, the business performance of small and medium enterprises (SMEs) can be adapted by focusing on the promotion of integrative new idea generation and market leadership orientation (
                <xref ref-type="bibr" rid="ref53">Sriboonlue &amp; Puangpronpitag, 2019</xref>).</p>
            <p>Further research is needed to understand why there may be no relationship between market orientation and the digital marketing performance of small and medium-sized enterprises (SMEs) in agricultural food processed products in Thailand. However, a range of factors, including technical expertise, investment, and market dynamics, can influence the effectiveness of digital marketing campaigns in this sector.</p>
            <p>However, the result of H2 found that competitiveness negatively and directly influenced digital marketing efficiency with an effective coefficient of -.16. This contradicts a study by 
                <xref ref-type="bibr" rid="ref64">Weerawardena and O&#x2019;Cass (2004)</xref>, who conducted a survey on the characteristics of market-driven businesses in sustainable competitive advantage and found that running conditions played a vital role in leading to marketing capability as a mechanism to drive or promote marketing capability. According to a study by 
                <xref ref-type="bibr" rid="ref55">Taiminen and Karjaluoto (2015)</xref>, SMEs need to gain knowledge and understanding of digital marketing. They can utilize the optimized advantage of the potential of new digital tools and effectively fulfill the benefits of digital developments. This was consistent with 
                <xref ref-type="bibr" rid="ref27">Indrawati, Caska, and Suarman (2020)</xref>, who found five digital marketing supportive factors in order of priority: funding, followed by government support, business partner, human resource potential, and economic conditions. The primary constraint of this negative relationship resulted from the need for more official and continuous essential support from the government in terms of policies to support technological innovation in practical outcomes and network expansion promotion through partnerships in the supply chain. More funding was explicitly needed for technological innovation and its promotion in small and medium enterprises (SMEs). Thus, findings on the causal relationship between competitiveness and digital marketing efficiency need to be clarified and controversial. Therefore, further studies are warranted.</p>
            <p>Marketing innovative behavior positively and directly influences digital marketing, according to H3. This was consistent with 
                <xref ref-type="bibr" rid="ref46">Prajogo and Ahmed (2006)</xref>, who examined the relationship between business efficiency and innovation efficiency in manufacturing plants and services in Australia. The study found that innovative efficiency can be achieved through behavioral and cultural development and the organizational environment. Research and development of technology have resulted in innovative efficiency. Process innovation is more closely related to business efficiency than product innovation in manufacturing facilities. Moreover, 
                <xref ref-type="bibr" rid="ref34">Konjane and Soonthonsmai (2016)</xref> reported that marketing innovation was positively related to competitiveness in the production and distribution of products, leading to good firm performance.</p>
            <p>In addition, 
                <xref ref-type="bibr" rid="ref22">Henard and Szymanski (2001)</xref> studied new product developments. They found that innovative behavior in management, setting objectives, strategy, and teamwork before introducing a new product was able to build mutual understanding and identify a clear direction, impacting the competitiveness and performance of innovations. This was consistent with many scholars who found that innovative management affects the competitiveness and efficiency of management and marketing performance (
                <xref ref-type="bibr" rid="ref59">Tsai, 2001</xref>; 
                <xref ref-type="bibr" rid="ref25">Hult 
                    <italic toggle="yes">et al.</italic>, 2003</xref>; 
                <xref ref-type="bibr" rid="ref26">Hult 
                    <italic toggle="yes">et al.</italic>, 2004</xref>; 
                <xref ref-type="bibr" rid="ref56">Tanapoompichet &amp; Swasdpeera, 2018</xref>). This result was also consistent with 
                <xref ref-type="bibr" rid="ref27">Indrawati 
                    <italic toggle="yes">et al.</italic> (2020)</xref>, who found that funding, government support, business partners, human resource potential, and economic conditions resulted in the efficiency of digital marketing from the clusters of community enterprise entrepreneurs. 
                <xref ref-type="bibr" rid="ref7">Carpinetti and Lima (2009)</xref> found that regulatory agencies for clusters of small and medium enterprise (SMEs) entrepreneurs would facilitate collaboration between businesses to increase competitiveness and market efficiency. This is consistent with many scholars who find that innovation is interrelated to market efficiency and competitiveness (
                <xref ref-type="bibr" rid="ref59">Tsai, 2001</xref>; 
                <xref ref-type="bibr" rid="ref25">Hult 
                    <italic toggle="yes">et al.</italic>, 2003</xref>; 
                <xref ref-type="bibr" rid="ref26">Hult 
                    <italic toggle="yes">et al.</italic>, 2004</xref>; 
                <xref ref-type="bibr" rid="ref55">Taiminen &amp; Karjaluoto, 2015</xref>).</p>
            <p>The study&#x2019;s results found that market orientation did not indirectly influence digital marketing efficiency through innovative marketing behavior based on hypothesis H4, which is inconsistent with 
                <xref ref-type="bibr" rid="ref30">Jaworski and Kohli&#x2019;s study (1996)</xref>. This may be because small and medium enterprises (SMEs) in agricultural food processed products in Thailand are overreliant on traditional marketing methods. Even if an enterprise has a strong market orientation, proactive and reactive market orientations positively impact digital innovation (
                <xref ref-type="bibr" rid="ref71">Zhao 
                    <italic toggle="yes">et al.</italic>, 2023</xref>). They may need to be more reliant on traditional marketing methods in highly dynamic markets, such as print advertising or in-store promotions. This may limit their ability to leverage digital marketing channels effectively, even if they have a strong understanding of their target markets. It is possible that broader market dynamics influence the relationship between market orientation and digital marketing performance in the agricultural food processed products industry in Thailand or that the power of social capital positively moderates proactive market orientation and digital innovation. In addition, consumer responsibility has a partial mediating effect (
                <xref ref-type="bibr" rid="ref71">Zhao 
                    <italic toggle="yes">et al.</italic>, 2023</xref>). For example, the level of competition or the size of the market may impact the effectiveness of digital marketing campaigns, regardless of a company&#x2019;s market orientation.</p>
            <p>The findings indicate that digital marketing strategies do not indirectly influence digital marketing efficacy through innovative marketing behavior. However, marketing strategy positively and directly influences innovative marketing behavior, according to H5. In general, digital marketing strategy and marketing innovation of SMEs in agri-food processed products in Thailand are interdependent and critical for the business&#x2019;s success (
                <xref ref-type="bibr" rid="ref32">Kaewmong &amp; Soytong, 2020</xref>). There are several reasons for the strong positive relationship between digital marketing strategies and marketing innovation (
                <xref ref-type="bibr" rid="ref19">Gokalp &amp; Cetindamar, 2021</xref>; 
                <xref ref-type="bibr" rid="ref32">Kaewmong &amp; Soytong, 2020</xref>). A clear digital marketing strategy provides direction and guidance for SMEs to develop marketing innovation. By setting specific goals and objectives, a digital marketing strategy helps small and medium enterprises (SMEs) to identify areas of improvement and opportunities for innovation. However, some researchers have found that digital and environmental orientations positively affect product and process innovation performance; digital orientation enhances SMEs&#x2019; resources by drawing attention to existing digital resources (
                <xref ref-type="bibr" rid="ref4">Ardito 
                    <italic toggle="yes">et al.</italic>, 2021</xref>). With a digital marketing strategy, marketing innovation leads to new and creative ways of reaching the target audience, which can improve the digital marketing strategy. By incorporating new marketing tactics and channels, SMEs can enhance their digital marketing strategies and stay ahead of the competition (
                <xref ref-type="bibr" rid="ref61">Wang &amp; Ku, 2020</xref>). A digital marketing strategy helps SMEs prioritize marketing innovation initiatives based on their goals and objectives to ensure that the innovation efforts are aligned with the overall digital marketing strategy and differentiate themselves from competitors. This differentiation can help increase brand awareness, customer loyalty, and overall digital marketing performance, which develops long-term and business performance effectiveness that increases competitive advantage (
                <xref ref-type="bibr" rid="ref65">Wongsansukcharoen &amp; Thaweepaiboonwong, 2023</xref>) and the likelihood of success.</p>
            <p>However, competitiveness indirectly influenced digital marketing efficiency through innovative marketing behavior, based on hypothesis H6. Competitiveness in SMEs also creates uniqueness in the product of the business that is different from its competitors (
                <xref ref-type="bibr" rid="ref65">Wongsansukcharoen &amp; Thaweepaiboonwong, 2023</xref>). The ability and skills of entrepreneurs to manage resources in the organization benefit through the innovative marketing behaviors of individuals in the enterprise, resulting in business profitability and stability, especially for those who use technology in marketing. This was consistent with the findings of 
                <xref ref-type="bibr" rid="ref2">Apirungruengsakul and Pasunon (2020)</xref>, who found that business marketing technology utilization through competitiveness was indirectly related to marketing success through firms&#x2019; innovative marketing behavior.</p>
            <p>For the digital marketing efficiency of SMEs, the results were consistent with 
                <xref ref-type="bibr" rid="ref27">Indrawati, Caska, and Suarman (2020)</xref>, who found that funding, government support, business partners, human resource potential, and economic conditions resulted in the efficiency of digital marketing from the clusters of community enterprise entrepreneurs. 
                <xref ref-type="bibr" rid="ref7">Carpinetti and Lima (2009)</xref> supported the results that regulatory agencies for clusters of SME entrepreneurs would facilitate collaboration between businesses to increase competitiveness and market efficiency. This was consistent with many scholars who found that competitiveness affected market efficiency with innovation through digital marketing technologies (
                <xref ref-type="bibr" rid="ref26">Hult 
                    <italic toggle="yes">et al.</italic>, 2004</xref>; 
                <xref ref-type="bibr" rid="ref55">Taiminen &amp; Karjaluoto, 2015</xref>; 
                <xref ref-type="bibr" rid="ref61">Wang &amp; Ku, 2020</xref>; 
                <xref ref-type="bibr" rid="ref72">Zmudzinski &amp; Zaborek, 2018</xref>; 
                <xref ref-type="bibr" rid="ref4">Ardito 
                    <italic toggle="yes">et al.</italic>, 2021</xref>; 
                <xref ref-type="bibr" rid="ref65">Wongsansukcharoen &amp; Thaweepaiboonwong, 2023</xref>; 
                <xref ref-type="bibr" rid="ref71">Zhao 
                    <italic toggle="yes">et al.</italic>, 2023</xref>).</p>
            <sec id="sec18">
                <title>Recommendations and future research</title>
                <p>According to the results, the following academic suggestions can be made.</p>
                <p>Thailand&#x2019;s agri-food processed product industry is a significant contributor to the country&#x2019;s economy. SMEs should be aware of the importance of components that contribute to digital marketing efficacy, such as market orientation and digital marketing strategies. These are internal factors, as well as competitiveness, resulting in a combination of internal and external factors to integrating with the innovative marketing behavior of existing enterprises to create digital marketing efficiency. Entrepreneurs should adjust approaches in conducting marketing activities to deal with the digital era by focusing on meeting consumers&#x2019; needs by offering promotions on various channels, especially contact, and increasing convenience for purchasing through an automated program, including shopping, payment, and delivery.</p>
                <p>SME owners should focus on internal factors, including product marketing strategies, distribution channels, personnel, and marketing communications, to drive digital marketing efficiency. Continually developing skills and applying digital marketing with the use of digital or semi-digital marketing strategies, together with innovative marketing behavior, to invent, improve, and introduce marketing innovations to the market with digital marketing materials. This will result in digital marketing efficacy, including sales, customer satisfaction, loyalty, market share, and the development of a back-office marketing support system for SMEs based on changing situations.</p>
                <p>Future research should be conducted as follows.
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>The relationship between marketing strategy and competitiveness affecting the digital marketing efficiency of small and medium enterprises (SMEs) in manufacturing and other services in the industry&#x2019;s supply chain should be studied to understand the relational model in the supply chain according to different business contexts.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Digital marketing is an essential aspect of modern business activities. To understand the impact of digital marketing on business success, we need to conduct action research among companies that have continuously implemented various forms of digital marketing. This research will help identify the variables that influence the efficacy of digital marketing and how they impact the performance and success of businesses. It will also encourage entrepreneurs to explore their potential and adopt digital marketing models and applications, especially SMEs, which may still need to gain knowledge and understanding of digital marketing strategies.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Conducting a policy research study on how to increase the competitiveness and efficiency of SMEs in the sustainable agri-food processed product industry would greatly benefit business owners and stakeholders. By formulating overall strategies, policies, and guidelines for SMEs, we can foster market orientation and develop digital marketing strategies that encourage innovative marketing behavior. This undoubtedly leads to increased marketing efficacy, ultimately resulting in the growth and success of the industry.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec19">
                <title>Limitations</title>
                <p>Some limitations of this study should be addressed in future research. First, the measurement of variables was based on self-reports and was conducted at one point in time, which might have influenced the research results owing to common method bias. Additionally, it should be noted that this was a cross-sectional study of SMEs in Thailand, so the results may need to be more generalizable to SMEs in other regions. Furthermore, the characteristics of specific industries (such as the agri-food processed products industry) may contain contextual factors that differ from those of other industries. Therefore, to use the results of this research as a reference for further studies, it is important to acknowledge these differences and the limitations they may pose for generalization in different contexts.</p>
            </sec>
        </sec>
    </body>
    <back>
        <sec id="sec22" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec23">
                <title>Underlying data</title>
                <p>Figshare: Causal Relationship Model of Marketing Innovation and Competitiveness of SMEs with Digital Technologies in Thailand. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.21916899.v1">https://doi.org/10.6084/m9.figshare.21916899.v1</ext-link> (
                    <xref ref-type="bibr" rid="ref60">Vuttichat and Patchara, 2023</xref>).</p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Raw Data.xlsx</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec24">
                <title>Extended data</title>
                <p>Figshare: Causal Relationship Model of Marketing Innovation and Competitiveness of SMEs with Digital Technologies in Thailand. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.21916899.v1">https://doi.org/10.6084/m9.figshare.21916899.v1</ext-link> (
                    <xref ref-type="bibr" rid="ref60">Vuttichat and Patchara, 2023</xref>).</p>
                <p>This project contains the following extended data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Questionnaire - English.pdf</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Questionnaire - Thai.pdf
</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).
</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors would like to acknowledge QUVAE Research and Publications for their invaluable assistance in submitting the underlying data and the extended data to the standard online repository system.</p>
        </ack>
        <ref-list>
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    <sub-article article-type="reviewer-report" id="report330203">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.158244.r330203</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Halik</surname>
                        <given-names>Johannes Baptista</given-names>
                    </name>
                    <xref ref-type="aff" rid="r330203a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3619-2812</uri>
                </contrib>
                <aff id="r330203a1">
                    <label>1</label>Universitas Kristen Indonesia Paulus, Makassar, South Sulawesi, 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>7</day>
                <month>11</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Halik JB</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport330203" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.138941.2"/>
            <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>Clarity:</p>
            <p> &#x00a0;This section would be helpful to explain why you chose SMEs in the agri-food sector in Thailand. What is the urgency and why this research is important to conduct. Does the impact of SMEs in the agri-food sector in Thailand have a significant impact on the economy in Thailand? Perhaps you should provide relevant data to support your research. This section effectively establishes the relevance of this research by discussing the global and local challenges faced by SMEs in the realm of digital adaptation. However, the focus could be refined by explicitly articulating the Thailand-specific barriers related to SME digitalization.</p>
            <p> By doing so, it is hoped that the impact of this research will be of interest to agri-food SMEs in Thailand, as well as the Thai government more broadly.</p>
            <p> </p>
            <p> Structure and Flow:</p>
            <p> The introduction follows a coherent progression, starting with the overarching challenges faced by SMEs and then moving on to the challenges relevant to the agri-food sector in Thailand. The inclusion of a definitive statement of purpose before the research inquiry would have enhanced the usefulness of this research more comprehensively.</p>
            <p> </p>
            <p> Research Questions:</p>
            <p> Four research questions are proposed, each addressing a different aspect of SME competitiveness and digitalization. These questions are relevant and significant; however, they could be more effectively aligned to specific digital challenges (e.g., the impact of market orientation on digital efficiency in the agri-food sector). Highlighting these complexities would strengthen the research focus.</p>
            <p> </p>
            <p> Relationship between Literature and Research Gaps:</p>
            <p> Although the literature review includes relevant studies, it would be better if the research gaps were more explicitly explained. For example, after the discourse on market orientation, the narrative could highlight how previous studies have neglected the convergence of digital marketing and competitive behavior in the Thai agriculture and food sector. This would highlight the importance of this study.</p>
            <p> </p>
            <p> Recent Studies and Practical Examples:</p>
            <p> Inclusion of more contemporary studies&#x2014;especially those conducted within the last five years or more&#x2014;related to digital marketing and SME competitiveness. This would make the literature review more innovative and contemporary. In addition, citing specific examples of how digital marketing has affected SMEs in emerging markets would significantly increase the practical relevance of the review.</p>
            <p> You can also include an empirical review based on your observations of the actual conditions in Thailand regarding the use and impact of Digital Marketing on your research object.</p>
            <p> </p>
            <p> Research Results</p>
            <p> Data Presentation: The findings are presented in tables, which include means, standard deviations, and fit indices corresponding to the various variables. This segment is broad; however, incorporating graphical representations (such as bar charts or line graphs) can make trends and interrelationships more visually understandable.</p>
            <p> </p>
            <p> Impact of Findings:</p>
            <p> The model used in this study explains most of the variance in innovative marketing behavior (89%), which is remarkable. However, elaborating on the implications of this high percentage for practitioners (e.g., the importance of nurturing marketing innovation) would add practical significance to the findings.</p>
            <p> </p>
            <p> Clarity and Accessibility:</p>
            <p> The document is full of information of significant academic value; however, it would benefit from some refinement of the language, especially in complex sections such as the description of the SEM models. Simplifying certain statistical terminology or including explanatory footnotes would make the study more accessible to a wider audience.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>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>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>Digital Marketing ; SMEs Performance ; Marketing 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>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-330203-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Open Innovation And Digital Marketing: A Catalyst For Culinary SMEs In Makassar</article-title>.
                        <source>
                            <italic>Jurnal Manajemen</italic>
                        </source>.<year>2024</year>;<volume>28</volume>(<issue>3</issue>) :
                        <elocation-id>10.24912/jm.v28i3.2059</elocation-id>
                        <fpage>588</fpage>-<lpage>612</lpage>
                        <pub-id pub-id-type="doi">10.24912/jm.v28i3.2059</pub-id>
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                <ref id="rep-ref-330203-2">
                    <label>2</label>
                    <mixed-citation>
                        <person-group person-group-type="author"/>:
                        <article-title>The Effect of Digital Marketing and Brand Awareness on the Performance of SMEs in Makassar City</article-title>.
                        <source>
                            <italic>https://www.researchgate.net/publication/349892205_The_Effect_of_Digital_Marketing_and_Brand_Awareness_on_the_Performance_of_SMEs_in_Makassar_City</italic>
                        </source>.<year>2020</year>;
                        <elocation-id>10.4108/eai.4-11-2020.2304613</elocation-id>
                        <pub-id pub-id-type="doi">10.4108/eai.4-11-2020.2304613</pub-id>
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    </sub-article>
    <sub-article article-type="reviewer-report" id="report330204">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.158244.r330204</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Aryanto</surname>
                        <given-names>Vincent Didiek Wiet</given-names>
                    </name>
                    <xref ref-type="aff" rid="r330204a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0537-1586</uri>
                </contrib>
                <aff id="r330204a1">
                    <label>1</label>Universitas Dian Nuswantoro, Semarang, Central Java, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>31</day>
                <month>10</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Aryanto VDW</copyright-statement>
                <copyright-year>2024</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>
                <license>
                    <license-p>The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport330204" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.138941.2"/>
            <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>Introduction</bold>
            </p>
            <p> 
                <bold>Clarity</bold>: The introductory section delineates the imperative for small and medium-sized enterprises (SMEs) in Thailand, notably within the agri-food sector, to embrace digital marketing methodologies and enhance their competitive edge. It effectively establishes the pertinence of this investigation by addressing both global and local challenges encountered by SMEs in the realm of digital adaptation. Nonetheless, the focus could be refined by explicitly articulating Thailand-specific obstacles related to digitalization for SMEs. This enhancement would anchor the study more robustly within the local milieu.</p>
            <p> 
                <bold>Structure and Flow</bold>: The introduction adheres to a coherent progression, commencing with overarching challenges faced by SMEs and subsequently converging on those pertinent to the agri-food sector in Thailand. The incorporation of a definitive statement of objectives immediately preceding the research inquiries could augment the overall readability.</p>
            <p> 
                <bold>Research Questions</bold>: Four research inquiries are posited, each addressing a distinct facet of SME competitiveness and digitalization. These inquiries are pertinent and significant; however, they could be more effectively aligned with particular digital challenges (e.g., the impact of market orientation on digital efficiency within the agri-food sector). Highlighting these subtleties would reinforce the study&#x2019;s focus.</p>
            <p> </p>
            <p> 
                <bold>Literature Review</bold>
            </p>
            <p> 
                <bold>Depth and Comprehensiveness</bold>: This segment encompasses five pivotal domains: market orientation, digital marketing strategy, competitiveness, marketing innovative behavior, and digital marketing efficiency. Each construct is substantiated by a substantial body of literature, which spans foundational theoretical frameworks to contemporary empirical investigations. The incorporation of established paradigms (e.g., Porter&#x2019;s competitive advantage and the Balanced Scorecard model) is advantageous, as it situates the research within a well-established theoretical context.</p>
            <p> 
                <bold>Structure and Organization</bold>: The literature review would benefit from the introduction of additional subsections, each with distinct headings for the respective concepts, thereby augmenting overall readability. For instance, "Market Orientation" might be delineated from "Digital Marketing Strategies," thereby allowing each section to be more prominently featured, which would facilitate readers' comprehension of the argumentative structure.</p>
            <p> 
                <bold>Linking Literature to Research Gap</bold>: Although the literature review encompasses pertinent studies, it would be advantageous to more explicitly delineate the research gap. For instance, subsequent to the discourse on market orientation, the narrative could underscore how previous investigations have neglected the convergence of digital marketing and competitive behavior within the Thai agri-food sector. This would accentuate the critical importance of this specific study.</p>
            <p> Recent Studies and Practical Examples: The inclusion of more contemporary studies&#x2014;particularly those conducted within the last three years&#x2014;pertaining to digital marketing and SME competitiveness could render the literature review more contemporaneous. Moreover, citing specific instances of how digital marketing has influenced SMEs in emerging markets would significantly enhance the practical relevance of the review.</p>
            <p> </p>
            <p> 
                <bold>Hypotheses</bold>
            </p>
            <p> 
                <bold>Clarity and Justification</bold>: The six hypotheses are articulated with precision, where each proposed relationship logically emerges from the comprehensive literature review. Each hypothesis encapsulates the variables under investigation and incorporates an appropriate justification grounded in prior empirical findings.</p>
            <p> 
                <bold>Detailed Justification:</bold> Although each hypothesis is substantiated, the manuscript could elaborate on the justification for specific relationships. For example, what underpins the expectation that competitiveness will exert an indirect influence on digital marketing efficiency via marketing innovative behaviour? Offering a more in-depth elucidation (for instance, by referencing studies that demonstrate a link between competitiveness and innovation within comparable SME environments) could enhance the persuasiveness of the hypotheses.</p>
            <p> 
                <bold>Hypotheses Relevance:</bold> Hypotheses such as H3 (the impact of marketing innovative behaviour on digital marketing efficiency) hold significant relevance in light of the study&#x2019;s emphasis on digital efficiency. Including additional commentary regarding the particular significance of these hypotheses for Thailand&#x2019;s agri-food SMEs would provide further contextualization for this distinctive environment.</p>
            <p> </p>
            <p> 
                <bold>Methodology</bold>
            </p>
            <p> 
                <bold>Research Design</bold>: The research methodology is meticulously structured, utilizing a structural equation modelling (SEM) framework, which is particularly advantageous for analyzing intricate relationships among variables. Nonetheless, a more comprehensive rationale for the selection of SEM in preference to alternative statistical methodologies would enhance the clarity of the approach.</p>
            <p> 
                <bold>Sampling and Data Collection</bold>: The research employed purposive sampling, specifically targeting representatives from small and medium-sized enterprises (SMEs) via an online survey instrument. Although this method is deemed appropriate, it may potentially introduce sampling bias. A succinct explication of the purposive sampling technique, including a discussion of its limitations, would fortify the methodology section. Furthermore, delineating the inclusion criteria for participants would elucidate the representativeness of the sample.</p>
            <p> 
                <bold>Instrument Validation</bold>: The methodology elaborates on the processes of questionnaire development, content validation, and reliability assessment utilizing Cronbach&#x2019;s alpha coefficient. This comprehensive strategy bolsters the credibility of the research; however, it could benefit from increased transparency regarding the measures undertaken to ensure content validity (for instance, by specifying the areas of expertise of the five consulted experts).</p>
            <p> 
                <bold>Analysis Procedures</bold>: The manuscript delineates the statistical tools employed (such as chi-square, GFI, CFI) and provides fit indices for the model. However, supplementary commentary regarding the rationale behind the selection of each index and the criteria for determining an acceptable threshold (for example, the reasoning for selecting a GFI value exceeding 0.95) would render this section more comprehensible for readers who may not be well-versed in SEM methodologies.</p>
            <p> </p>
            <p> 
                <bold>Research Findings</bold>
            </p>
            <p> 
                <bold>Data Presentation</bold>: The findings are delineated within tables, encompassing means, standard deviations, and fit indices corresponding to various variables. This segment is extensive; however, the incorporation of graphical representations (such as bar graphs or line charts) could render the trends and interrelationships more visually comprehensible.</p>
            <p> </p>
            <p> 
                <bold>Hypothesis Testing and Interpretation</bold>: The outcomes of each hypothesis are encapsulated, with tables illustrating both direct and indirect effects. Nevertheless, for hypotheses that lack support (such as H1 and H2), the manuscript ought to furnish a more comprehensive interpretation. For instance, what could be the underlying reasons for market orientation not exerting a positive impact on digital marketing efficiency? Potential explanations, such as resource constraints or deficiencies in digital competencies, could be briefly conjectured here to provide readers with a deeper understanding of the findings.</p>
            <p> </p>
            <p> 
                <bold>Impact of Findings</bold>: The model employed in the study elucidated a significant proportion of the variance in innovative marketing behaviour (89%), which is remarkable. However, an elaboration on the implications of this high percentage for practitioners (e.g., the criticality of nurturing marketing innovation) would augment the practical significance of the findings.</p>
            <p> </p>
            <p> 
                <bold>Conclusion</bold>
            </p>
            <p> 
                <bold>Summary of Findings</bold>: The conclusion presents a succinct overview of the principal findings, highlighting the beneficial influence of digital marketing strategies on innovative marketing behaviour. Incorporating pertinent statistics or effect sizes in this section (for instance, &#x201c;digital marketing strategy accounted for 18% of the variance in digital marketing efficiency&#x201d;) would enhance the significance of the findings.</p>
            <p> </p>
            <p> 
                <bold>Implications</bold>: The discourse includes actionable recommendations, advocating for small and medium-sized enterprises (SMEs) to embrace digital strategies while prioritizing innovation. Nevertheless, providing precise recommendations regarding the practical implementation of these strategies by SMEs (such as the utilization of specific digital tools or government incentives aimed at fostering innovation) would augment the document's utility. Furthermore, the text could directly engage policymakers by proposing methods to bolster SMEs through initiatives such as training programs or grant opportunities.</p>
            <p> </p>
            <p> 
                <bold>Limitations and Suggestions for Future Research</bold>: The investigation recognizes certain limitations, including the cross-sectional design and the industry-specific emphasis, which restrict its generalizability. However, articulating how subsequent research could remedy these limitations&#x2014;such as employing longitudinal designs or conducting comparative studies across various industries&#x2014;would offer more substantial guidance.</p>
            <p> </p>
            <p> 
                <bold>Additional Recommendations</bold>
            </p>
            <p> 
                <bold>Clarity and Accessibility</bold>: The document is replete with information that holds significant academic merit; however, it would greatly benefit from a refinement of language, particularly in intricating segments such as the description of the SEM model. The simplification of certain statistical terminology or the inclusion of explanatory footnotes could render the research more comprehensible to a broader audience.</p>
            <p> </p>
            <p> 
                <bold>Consistency in Terminology</bold>: Concepts such as &#x201c;digital marketing efficiency&#x201d; and &#x201c;marketing innovative behaviour&#x201d; are pivotal yet are employed interchangeably with minor variations. The establishment of consistent terminology would substantially improve clarity.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>Digital Marketing &amp; Strategic Marketing</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>
</article>
