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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2025.1629706</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Predicting marine tourism intention through information processing: an ability-motivation-opportunity framework</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhuge</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiao</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tong</surname>
<given-names>Hao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3068471/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Jie Joseph</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1404458/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Digital&#xa0;Information Technology School, Zhejiang Technical Institute of Economics</institution>, <addr-line>Hangzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology</institution>, <addr-line>Shenzhen</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Nottingham University Business School China, The University of Nottingham Ningbo</institution>, <addr-line>Ningbo</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1645376/overview">Xuemei Li</ext-link>, Ocean University of China, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2967189/overview">Yufeng Zhao</ext-link>, Ocean University of China, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3083702/overview">Wen-qian Lou</ext-link>, Southeast University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3111344/overview">Dandan Li</ext-link>, Zhejiang Agriculture and Forestry University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3128257/overview">Lishuang Jia</ext-link>, Hangzhou Dianzi University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hao Tong, <email xlink:href="mailto:hao.tong@nottingham.edu.cn">hao.tong@nottingham.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1629706</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhuge, Jiao, Tong and Yu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhuge, Jiao, Tong and Yu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Marine tourism, as a crucial component of the marine economy, generates employment opportunities in traditional marine industries and contributes to sustainable marine economic development. Understanding the drivers and enablers of individuals' travel in marine tourism is therefore essential.</p>
</sec>
<sec>
<title>Methods</title>
<p>Grounded in the ability&#x2013;motivation&#x2013;opportunity framework, this study examines how tourism information quality influences individuals' travel intention toward marine tourism, while considering the moderating roles of travel motivation and information literacy. To test our study model, we follow a survey research design and rely on 268 participants' data.</p>
</sec>
<sec>
<title>Results</title>
<p>Our results show that tourism information quality of marine tourism is positively related to individuals' travel intention toward marine tourism. However, only information skills positively moderate the positive relationship between tourism information quality and individuals' travel intention.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These results highlight the importance of tourism information quality in fostering marine tourism travel intention, particularly when individuals possess strong information skills. The findings provide practical implications for social media platforms and prospective tourists. The formulation and implementation of policies in the marine tourism industry can be inspired by our findings as well.</p>
</sec>
</abstract>
<kwd-group>
<kwd>marine tourism</kwd>
<kwd>tourism information quality</kwd>
<kwd>travel motivation</kwd>
<kwd>information literacy</kwd>
<kwd>travel intention</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="90"/>
<page-count count="14"/>
<word-count count="7324"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Affairs and Policy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Marine tourism, encompassing a broad range of tourism, leisure, and recreational activities along coastal zones and offshore waters, has emerged as one of the fastest-growing sectors in contemporary tourism (<xref ref-type="bibr" rid="B20">Dimitrovski et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B30">Hall, 2001</xref>). It includes coastal tourism development (e.g., accommodation and restaurants), supporting infrastructure (e.g., retail businesses and activity providers), and tourism activities (e.g., cruises and diving) (<xref ref-type="bibr" rid="B20">Dimitrovski et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B30">Hall, 2001</xref>). As a strategic driver of regional economic development and employment, marine tourism is closely intertwined with other components of the marine economy, such as fisheries and transportation (<xref ref-type="bibr" rid="B61">Mart&#xed;nez V&#xe1;zquez et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B68">Shou and Xu, 2025</xref>). Prior studies have highlighted its potential in promoting the sustainable use of marine resources and creates new opportunities for workers in traditional marine industries, such as fisheries (<xref ref-type="bibr" rid="B78">Winchenbach et&#xa0;al., 2022</xref>). However, in China, institutional and policy support for marine tourism remains relatively limited, with marine development policies historically favoring port operations and fisheries. Given the rising demand for differentiated and experiential travel, marine tourism presents both urgent practical needs and rich research value (<xref ref-type="bibr" rid="B20">Dimitrovski et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B51">Leposa, 2020</xref>).</p>
<p>Among tourism research topics, travel intention&#x2014;individuals&#x2019; propensity or willingness to visit a particular destination&#x2014;has drawn sustained scholarly attention (<xref ref-type="bibr" rid="B33">Hosany et&#xa0;al., 2020</xref>). Extant studies have identified a range of influencing factors, such as content elements in short tourism videos (<xref ref-type="bibr" rid="B23">Gan et&#xa0;al., 2023</xref>) and personal attitudes (<xref ref-type="bibr" rid="B56">Liu et&#xa0;al., 2021</xref>). However, limited research has investigated how these factors interact rather than operate in isolation. Factors from different perspectives may not act independently but instead interact and reinforce each other (<xref ref-type="bibr" rid="B48">Kourouthanassis et&#xa0;al., 2017</xref>). Understanding what drives individuals to travel, particularly in less mainstream segments like marine tourism, is crucial for stakeholders seeking to optimize destination marketing and policy support (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>).</p>
<p>Tourism is inherently an information-intensive industry (<xref ref-type="bibr" rid="B81">Xiang and Gretzel, 2010</xref>), where individuals rely heavily on diverse sources&#x2014;especially user-generated content (UGC)&#x2014;to make informed travel decisions (<xref ref-type="bibr" rid="B31">Hays et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B66">Ruan and Zhang, 2021</xref>; <xref ref-type="bibr" rid="B88">Zeng and Gerritsen, 2014</xref>). Its importance has grown significantly with the increasing popularity of personalized travel over traditional group tours (<xref ref-type="bibr" rid="B46">Kim et&#xa0;al., 2017</xref>). The rise of the Internet has fundamentally reshaped how information is produced, disseminated, and consumed (<xref ref-type="bibr" rid="B12">Buhalis and Law, 2008</xref>). Tourists now routinely engage with digital platforms throughout the entire travel journey, from planning to post-trip sharing (<xref ref-type="bibr" rid="B4">Amaro et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B55">Liu et&#xa0;al., 2020</xref>). Social media enables consumers and stakeholders&#x2014;including suppliers, intermediaries, and regulators&#x2014;to exchange information in real time (<xref ref-type="bibr" rid="B81">Xiang and Gretzel, 2010</xref>). Individuals&#x2019; interaction with user-generated content on social media is fundamental in triggering their intention to visit those destination as well (<xref ref-type="bibr" rid="B40">Jim&#xe9;nez-Barreto et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B90">Zhou et&#xa0;al., 2023</xref>). UGC, given its authenticity and social influence, is widely regarded as a trustworthy reference for potential travelers (<xref ref-type="bibr" rid="B85">Yoo and Gretzel, 2011</xref>; <xref ref-type="bibr" rid="B75">Wang et&#xa0;al., 2022</xref>). UGC related to tourism on social media assists individuals in developing travel plans and making travel decisions (<xref ref-type="bibr" rid="B81">Xiang and Gretzel, 2010</xref>).</p>
<p>Nonetheless, the increasing volume and complexity of content on social media has also led to new challenges. Information overload and decision fatigue are rising concerns, particularly when content is filtered through algorithmic systems that emphasize emotional appeal and idealized experiences (<xref ref-type="bibr" rid="B89">Zhang et&#xa0;al., 2023</xref>). This overexposure to information can lead to cognitive overload and contribute to negative perceptions of travel (<xref ref-type="bibr" rid="B39">Jia et&#xa0;al., 2021</xref>). Such mechanisms may foster unrealistic expectations, reduce perceived replicability, and even trigger dissatisfaction when actual experiences fall short (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B43">Kamishima et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B82">Xie et&#xa0;al., 2023</xref>). Under such circumstances, the perceived quality of tourism information on social media&#x2014;which is typically defined as the extent to which information is applicable to users&#x2019; goals in a specific context (<xref ref-type="bibr" rid="B26">Gorla et&#xa0;al., 2010</xref>)&#x2014;may be undermined, thus failing to effectively motivate potential tourists. The mixed findings regarding the influence of information quality on travel intention obscure the underlying mechanisms driving individuals&#x2019; travel-related decisions. In the context of marine tourism&#x2014;an emerging and increasingly popular form of tourism&#x2014;the availability of information remains relatively limited compared to more traditional forms of tourism. It offers a promising avenue for exploring the actual impact of tourism information quality in individuals&#x2019; travel decision-making process.</p>
<p>In tourism research, the primary driving factor behind destination visits is referred to as travel intention (<xref ref-type="bibr" rid="B80">Woodside and Lysonski, 1989</xref>). Travel intention reflects individuals&#x2019; expectations, plans, or intentions regarding future travel behaviors and serves as a predictor of actual travel behavior (<xref ref-type="bibr" rid="B49">Lam and Hsu, 2006</xref>). Previous research has summarized that individuals&#x2019; intention to travel to a particular destination is influenced by a combination of push factors (e.g., novelty seeking), which trigger the initial desire to travel, and pull factors (e.g., destination image), which attract them to specific destinations that satisfy their motivations (<xref ref-type="bibr" rid="B55">Liu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>). Although motivation is often considered a key factor in explaining individual behavior, findings from fuzzy-set qualitative comparative analysis (fsQCA) suggest that behavior can be better explained by the combination of opportunity and/or ability factors (<xref ref-type="bibr" rid="B84">Yee et&#xa0;al., 2021</xref>). Previous studies have also emphasized that individuals must possess appropriate abilities in a given domain in order to perform certain behaviors (<xref ref-type="bibr" rid="B35">Hung and Petrick, 2012</xref>). Investigating the combined impact of diverse factors&#x2014;both technical and non-technical&#x2014;on travel intention is thus of significant theoretical and practical relevance.</p>
<p>To address this complexity, this study adopts the Ability&#x2013;Motivation&#x2013;Opportunity (AMO) framework as its theoretical foundation (<xref ref-type="bibr" rid="B65">Rasoolimanesh et&#xa0;al., 2017</xref>). While prior studies have adopted theoretical models such as the stimulus-organism-response (S-O-R) framework (<xref ref-type="bibr" rid="B5">An et&#xa0;al., 2021</xref>) and theory of planned behavior (<xref ref-type="bibr" rid="B10">Borhan et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B70">Sparks and Pan, 2009</xref>) to explain individual behavioral outcomes, they have largely overlooked the complex interplay between external environmental stimuli and internal psychological mechanisms. In the context of tourism, the AMO framework suggests that individuals&#x2019; travel intention is shaped by three critical factors: ability, motivation, and opportunity (<xref ref-type="bibr" rid="B35">Hung and Petrick, 2012</xref>). Information quality, which is typically defined as the extent to which information meets users&#x2019; objectives in a specific context (<xref ref-type="bibr" rid="B26">Gorla et&#xa0;al., 2010</xref>), contributes to individuals&#x2019; informed decision making and their satisfaction (<xref ref-type="bibr" rid="B21">Filieri et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B46">Kim et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). Within this framework, information quality&#x2014;which refers to the quality of outputs produced by an information system (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>)&#x2014;can be conceptualized as a situational factor that potentially improves individuals&#x2019; travel intention. Overall, tourism information quality can be understood as an opportunity-enhancing factor with the potential to increase individuals&#x2019; travel intention. On this basis, the purpose of this study is to investigate the influence of tourism information quality on individuals&#x2019; travel intention in the context of marine tourism, while accounting for their motivation and ability.</p>
<p>Accordingly, this research makes three key theoretical contributions. First, it extends the AMO framework to the marine tourism domain, responding to recent calls to examine the interaction among ability, motivation, and opportunity (<xref ref-type="bibr" rid="B11">Bos-Nehles et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B32">Hong and Gajendran, 2018</xref>). Second, it enriches tourism research by empirically testing the influence of tourism information quality on travel intention, a topic underexplored in marine tourism settings. By considering both motivational and ability-related factors, this study helps bridge a significant gap in the literature. Third, it offers novel insights into the heterogeneity of information literacy, revealing that different dimensions (e.g., knowledge vs. skills) may have diverging impacts on behavior. Together, these contributions offer a more comprehensive understanding of how individuals process tourism information and form behavioral intentions in emerging travel domains.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Literature review and hypothesis development</title>
<sec id="s2_1">
<label>2.1</label>
<title>Ability, motivation, opportunity framework</title>
<p>The AMO framework was first proposed by <xref ref-type="bibr" rid="B58">MacInnis and Jaworski (1989)</xref> within the context of information processing. The model posits that ability, motivation, and opportunity are antecedents and predictors of consumer behavior (<xref ref-type="bibr" rid="B35">Hung and Petrick, 2012</xref>). The role of these three factors was further examined in brand information processing in the context of advertising (<xref ref-type="bibr" rid="B59">MacInnis et&#xa0;al., 1991</xref>), where they were shown to mediate the relationship between executional cues and the communication effectiveness of advertisements.</p>
<p>Since its inception, the AMO framework has been applied across various research domains. In the context of consumer behavior, it has been used to explain knowledge-sharing behaviors (<xref ref-type="bibr" rid="B41">Jin et&#xa0;al., 2022</xref>) and social media usage (<xref ref-type="bibr" rid="B28">Guenzi and Nijssen, 2020</xref>). In the field of organizational behavior, the framework has been employed to investigate employees&#x2019; use of enterprise social media platforms (<xref ref-type="bibr" rid="B84">Yee et&#xa0;al., 2021</xref>), their resilience (<xref ref-type="bibr" rid="B87">Zahoor et&#xa0;al., 2024</xref>), and the development of enterprises competitive advantage at the organizational level (<xref ref-type="bibr" rid="B50">Lam et&#xa0;al., 2019</xref>). A common thread across these applications is the emphasis on decision-making processes influenced by the interplay of ability, motivation, and opportunity. The likelihood of a given behavior occurring is contingent on the degree to which these three factors are present. Moreover, the AMO framework is recognized for its parsimony, and the nature of the relationships among its constructs is considered to be context-dependent (<xref ref-type="bibr" rid="B7">Atmaja et&#xa0;al., 2024</xref>).</p>
<p>In the field of tourism, the investigation of individuals&#x2019; information processing and decision-making has long been a topic of scholarly interest. Travel intention can be viewed as an outcome of the information processing process, which is primarily influenced by the three factors outlined in the AMO framework. For instance, the AMO framework has been employed to explain individual decision-making processes, suggesting that perceived travel constraints, constraint negotiation, self-congruity, and functional congruity influence travel intention (<xref ref-type="bibr" rid="B35">Hung and Petrick, 2012</xref>). Furthermore, travelers&#x2019; motivation and opportunity have been found to be positively associated with their involvement with hotel social media pages, which in turn positively influences their revisit intention (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>). Drawing on the AMO framework, previous research has also examined the impact of individuals&#x2019; perceived benefits and perceived constraints on their travel behaviors (<xref ref-type="bibr" rid="B74">Wang et&#xa0;al., 2018</xref>), reinforcing the framework&#x2019;s utility in understanding the antecedents of travel intention.</p>
<p>Applying the AMO framework to the context of marine tourism, this study aims to construct a theoretical model to explain how tourism information quality, together with individuals&#x2019; travel motivation and information literacy, shapes their travel intention (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Opportunity: tourism information quality</title>
<p>Opportunity refers to situational factors that either facilitate or hinder individuals&#x2019; information processing (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>). Prior research has conceptualized opportunity as the availability of resources such as time and money, which can positively or negatively influence the achievement of desired outcomes (<xref ref-type="bibr" rid="B59">MacInnis et&#xa0;al., 1991</xref>). A positively assessed opportunity promotes engagement in a particular behavior to attain desired goals, whereas a negatively assessed opportunity serves as a barrier that prevents individuals from achieving those goals (<xref ref-type="bibr" rid="B7">Atmaja et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B59">MacInnis et&#xa0;al., 1991</xref>). In tourism, social media content is regarded as a primary stimulus for evoking individuals&#x2019; travel intentions (<xref ref-type="bibr" rid="B57">Lu and Stepchenkova, 2015</xref>). Given that a positively assessed opportunity indicates fewer external impediments to information processing (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>; <xref ref-type="bibr" rid="B59">MacInnis et&#xa0;al., 1991</xref>), we argue that tourism information quality&#x2014;which refers to the characteristics of information that align with individuals&#x2019; expectations (<xref ref-type="bibr" rid="B42">Kahn et&#xa0;al., 2002</xref>)&#x2014;serves as an opportunity-enhancing factor that can stimulate individuals&#x2019; travel intention.</p>
<p>In tourism, it is found that individuals tend to place trust in and form expectations about content created and shared by others, such as information regarding travel destinations (<xref ref-type="bibr" rid="B85">Yoo and Gretzel, 2011</xref>). Meanwhile, individuals&#x2019; impressions of products or services are shaped through their information processing of various sources, and the same informational content may be perceived differently depending on individuals&#x2019; backgrounds (<xref ref-type="bibr" rid="B46">Kim et&#xa0;al., 2017</xref>). Accordingly, when informational content is perceived as complete, accurate, relevant, and authentic, individuals are more likely to pay attention to and deeply process the information, leading to rational cognition and the formation of positive attitudes toward the destination (<xref ref-type="bibr" rid="B77">Wang and Yan, 2022</xref>).</p>
<p>Furthermore, social media can shape an individual&#x2019;s impression of the destination, which in turn helps increase the possibility of them planning a trip (<xref ref-type="bibr" rid="B46">Kim et&#xa0;al., 2017</xref>). When the quality of tourism-related information positively influences various types of destination image, high-quality information also helps individuals increase their understanding of specific products or services, thereby assisting them in making informed decisions (<xref ref-type="bibr" rid="B46">Kim et&#xa0;al., 2017</xref>). As a relatively new and information-intensive tourism segment, marine tourism requires individuals to rely heavily on available information for decision-making, making it a suitable context for examining the effects of information quality (<xref ref-type="bibr" rid="B46">Kim et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B81">Xiang and Gretzel, 2010</xref>). In this regard, information quality&#x2014;which refers to the quality of information based on its intrinsic characteristics (<xref ref-type="bibr" rid="B63">Park et&#xa0;al., 2007</xref>)&#x2014;has been identified as a strong predictor of the credibility of information sources (<xref ref-type="bibr" rid="B21">Filieri et&#xa0;al., 2015</xref>). Accordingly, tourism information quality can be regarded as an opportunity-enhancing factor with the potential to persuade individuals and strengthen their travel intention toward marine tourism.</p>
<p>Due to the nearly limitless availability of information on the Internet, often accessible with minimal effort or cost (<xref ref-type="bibr" rid="B47">Kim et&#xa0;al., 2007</xref>), individuals may experience information overload and decision overload (<xref ref-type="bibr" rid="B89">Zhang et&#xa0;al., 2023</xref>). The asymmetry of tourism information&#x2014;whereby individuals cannot assess the quality of tourism products or services before reaching the destination&#x2014;further complicates the decision-making process (<xref ref-type="bibr" rid="B77">Wang and Yan, 2022</xref>). Excessive exposure to such information challenges individuals&#x2019; ability to make travel decisions and may lead to negative evaluations of travel experiences (<xref ref-type="bibr" rid="B39">Jia et&#xa0;al., 2021</xref>).</p>
<p>Given that individuals&#x2019; perceptions of information quality are positively associated with the importance they attach to that information (<xref ref-type="bibr" rid="B18">Dedeoglu, 2019</xref>), the overwhelming volume of information underscores the critical role of information quality. Previous studies have confirmed that information quality positively affects user satisfaction and purchase intention (<xref ref-type="bibr" rid="B19">DeLone and McLean, 1992</xref>; <xref ref-type="bibr" rid="B24">Ghasemaghaei and Hassanein, 2015</xref>; <xref ref-type="bibr" rid="B63">Park et&#xa0;al., 2007</xref>). Moreover, information quality can compensate for individuals&#x2019; limited tourism knowledge, enabling them to achieve their travel goals more easily and increasing their overall satisfaction (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). While tourism information quality helps address the problem of asymmetric tourism information, it also enhances individuals&#x2019; trust in the reliability of such information. In the context of tourism, trust refers to the confidence, belief, and expectations individuals hold toward a tourism destination (<xref ref-type="bibr" rid="B77">Wang and Yan, 2022</xref>). Individuals who trust tourism information are more likely to believe that the destination can fulfill their personal needs (<xref ref-type="bibr" rid="B69">Shou et&#xa0;al., 2023</xref>). Moreover, trust within the social media environment has been shown to increase individuals&#x2019; purchase intention and interest in purchasing behavior (<xref ref-type="bibr" rid="B29">Hajli, 2014</xref>; <xref ref-type="bibr" rid="B54">Li et&#xa0;al., 2020</xref>). Hence, we propose the following hypothesis:</p>
<p>Hypothesis 1: Tourism information quality of marine tourism is positively related to individuals&#x2019; travel intention toward marine tourism.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Ability: information literacy</title>
<p>In order to perform a given behavior, individuals must possess the appropriate abilities relevant to that domain (<xref ref-type="bibr" rid="B35">Hung and Petrick, 2012</xref>). Because travel involves unfamiliar and novel experiences, the resulting uncertainty underscores the importance of individual information literacy (<xref ref-type="bibr" rid="B44">Karl, 2018</xref>). Originally, ability refers to the extent to which individuals possess the necessary resources&#x2014;such as knowledge, intelligence, or financial means&#x2014;to bring about a desired outcome (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>). Adopting the concept from <xref ref-type="bibr" rid="B59">MacInnis et&#xa0;al. (1991)</xref>, this study defines ability as the knowledge, skills, and beliefs that individuals possess to process information related to marine tourism.</p>
<p>Within the context of this study, information literacy&#x2014;defined as the combination of knowledge and skills required to access, evaluate, and effectively use needed information (<xref ref-type="bibr" rid="B8">Bawden, 2001</xref>)&#x2014;is considered the relevant ability within the AMO framework. In tourism research, information literacy emphasizes individuals&#x2019; capabilities related to the collection and processing of information (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). As individuals frequently need to gather a wide range of information to support decision-making for unfamiliar destinations&#x2014;while simultaneously facing challenges such as information overload and redundancy&#x2014;information literacy becomes critically important (<xref ref-type="bibr" rid="B44">Karl, 2018</xref>; <xref ref-type="bibr" rid="B27">Guan et&#xa0;al., 2022</xref>). Only by effectively collecting, evaluating, and utilizing reliable information can travelers ensure a satisfactory experience. It also emphasizes the significance of focusing on the context of marine tourism. Given the vast amount of information available on the Internet (<xref ref-type="bibr" rid="B47">Kim et&#xa0;al., 2007</xref>), individuals are expected to utilize useful information to make informed travel decisions and enhance their satisfaction (<xref ref-type="bibr" rid="B21">Filieri et&#xa0;al., 2015</xref>). Accordingly, information literacy is essential for supporting individuals in making appropriate choices and achieving satisfying travel outcomes (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>).</p>
<p>However, more information does not necessarily lead to better decisions or higher satisfaction. Previous research has shown that individuals with inadequate information literacy tend to have low levels of trust in online information, which prevents them from meeting their travel planning needs (<xref ref-type="bibr" rid="B48">Kourouthanassis et&#xa0;al., 2017</xref>). Individuals lacking travel knowledge may struggle with managing emergencies, understanding travel documents, and selecting suitable destinations (<xref ref-type="bibr" rid="B13">Chang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B73">Tsaur et&#xa0;al., 2010</xref>). Moreover, individuals with limited information skills may find it difficult to identify their information needs, locate necessary information, evaluate it accurately, and use it efficiently (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). In contrast, individuals with high information literacy are more likely to avoid post-decision regret and report greater satisfaction with both tourism information and travel experiences (<xref ref-type="bibr" rid="B83">Yan et&#xa0;al., 2017</xref>). Accordingly, information literacy should be regarded as a critical competence that must be cultivated to ensure a satisfactory travel experience (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>).</p>
<p>Since information literacy provides the foundation for processing ability, high ability implies that the knowledge and skills necessary to interpret information are both present and accessible (<xref ref-type="bibr" rid="B59">MacInnis et&#xa0;al., 1991</xref>). Greater information literacy also reflects individuals&#x2019; higher self-efficacy in using information skills to address information-related problems, as well as a higher level of satisfaction with the information obtained (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). The combination of information quality as an opportunity-enhancing factor and information literacy as an individual ability can create a synergistic effect in strengthening travel intention. Specifically, individuals&#x2019; ability to access, evaluate, and effectively use needed information equips them with an advantage in transforming high-quality marine tourism information into a practical tool for planning future travel. Hence, we propose the following hypothesis:</p>
<p>Hypothesis 2: Information literacy moderates the relationship between tourism information quality of marine tourism and travel intention toward marine tourism, such as the relationship is stronger when information literacy is high.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Motivation: travel motivation</title>
<p>Motivation plays a crucial role in the decision-making process due to its influence on the direction and intensity of behavior (<xref ref-type="bibr" rid="B9">Bettman, 1979</xref>). Specifically, as a driving force that steers individuals toward specific goals and desirable outcomes, motivation encourages engagement and supports the decision-making process (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>; <xref ref-type="bibr" rid="B65">Rasoolimanesh et&#xa0;al., 2017</xref>). In tourism research, motivation is widely recognized as a key factor shaping individuals&#x2019; travel intention (<xref ref-type="bibr" rid="B25">Gnoth, 1997</xref>; <xref ref-type="bibr" rid="B79">Wong et&#xa0;al., 2018</xref>). It can be defined as the direction of individuals&#x2019; efforts and the allocation of their time and energy toward a specific task (<xref ref-type="bibr" rid="B87">Zahoor et&#xa0;al., 2024</xref>). In other words, individuals are motivated to engage in certain behaviors in order to fulfill situational needs (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>). Higher levels of motivation suggest that individuals are more willing to invest time and energy in identifying and processing relevant information (<xref ref-type="bibr" rid="B52">Leung and Bai, 2013</xref>). It should be noticed that when social platforms present content that aligns with individual interests, it is the tourism information itself that often stimulates individuals&#x2019; travel motivation (<xref ref-type="bibr" rid="B77">Wang and Yan, 2022</xref>). Travel motivation alone is not sufficient to directly generate travel intention (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>).</p>
<p>As a topic of significant interest in tourism research, travel motivation has been shown to directly influence individuals&#x2019; travel intentions and behaviors. However, the positive association between travel motivation and travel intention has yielded inconsistent results across studies. For instance, the motivation to seek knowledge has been found to positively influence individuals&#x2019; intention to visit wine tourism destinations, whereas the desire for escape and relaxation did not demonstrate a similar effect (<xref ref-type="bibr" rid="B1">Afonso et&#xa0;al., 2018</xref>). Furthermore, prior research suggests that individuals&#x2019; travel motivations can be fulfilled by various destinations, rather than being tied to a specific one (<xref ref-type="bibr" rid="B37">Jang and Cai, 2002</xref>). As such, travel motivation alone cannot consistently explain individuals&#x2019; intention to visit a particular destination. In other words, travel motivation may be associated with travel intention both directly and indirectly through the influence of other factors (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>). A key challenge, therefore, is to understand travel intention as a function of both internal motivations and external factors related to the specific destination (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>).</p>
<p>In tourism research, travel motivation based on the push and pull factors has been extensively studied (<xref ref-type="bibr" rid="B38">Jang and Wu, 2006</xref>). Push factors refer to individuals&#x2019; internal needs or desires that drive them to travel, while pull factors relate to the external attributes of a destination that attract individuals to choose it as a vacation site (<xref ref-type="bibr" rid="B16">Crompton, 1979</xref>; <xref ref-type="bibr" rid="B17">Dann, 1981</xref>). In this context, travel motivation is conceptualized as a push factor, which is essential for stimulating individuals&#x2019; intention to travel (<xref ref-type="bibr" rid="B16">Crompton, 1979</xref>; <xref ref-type="bibr" rid="B17">Dann, 1981</xref>). Information quality, considered a pull factor, conveys the attractiveness of a marine tourism destination. Accordingly, travel motivation and information quality may work in tandem&#x2014;one providing the internal drive and the other delivering external appeal&#x2014;to enhance individuals&#x2019; travel intentions. Hence, we propose the following hypothesis:</p>
<p>Hypothesis 3: Travel motivation moderates the relationship between tourism information quality of marine tourism and travel intention toward marine tourism, such as the relationship is stronger when perceptions of travel motivation are high.</p>
<p>Accordingly, we develop a research model to examine how tourism information quality influences individuals&#x2019; travel intention toward marine tourism, and how travel motivation and information literacy may moderate the relationship between tourism information quality and travel intention. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> presents the proposed research model.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Conceptual model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1629706-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the relationship between opportunity, motivation, and ability affecting travel intention. Opportunity is defined by tourism information quality. Motivation is driven by travel motivation, specifically novelty and escape seeking. Ability involves information literacy, including knowledge and skills. Arrows indicate influences on travel intention.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Methodology</title>
<sec id="s3_1">
<label>3.1</label>
<title>Measurements</title>
<p>In this study, respondents scored multiple items on a seven-point Likert scale ranging from 1 (<italic>strongly disagree</italic>) to 7 (<italic>strongly agree</italic>). We adopted appropriate existing scales (<xref ref-type="bibr" rid="B23">Gan et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>) to measure tourism information quality, travel motivation, information literacy, and travel intention. The scales are also tailored to align with the specific context of this study. Specifically, the most suitable dimension of this constructs is selected. For travel motivation, as a wide range of motivation have been identified in the tourism context, this paper takes novelty seeking and escape seeking, which have been repeatedly identified, to represent travel motivation (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>). Novelty seeking motivation describes the need to pursue new experiences. The more familiar the destination, the less attractive it is likely to be to individuals motivated by novelty seeking (<xref ref-type="bibr" rid="B62">Moura et&#xa0;al., 2015</xref>). Engaging in marine tourism, which is an emerging and popular tourism type, should be a brand-new experience and an attractive travel for most people. Escape seeking motivation describes the need to get away from the stress of everyday life (<xref ref-type="bibr" rid="B36">Iso-Ahola, 1982</xref>). Individuals who take escape seeking motivation expect a socially and physically different environment from the one in which they usually live (<xref ref-type="bibr" rid="B16">Crompton, 1979</xref>). While activities that are related to marine tourism are far from traditional human settlements, the marine environment is also conducive to individuals&#x2019; relaxation. For information literacy, the core elements of general information literacy proposed by previous research, information knowledge and information skills, are chosen to represent information literacy (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). Information knowledge evaluates individuals&#x2019; familiarity with various travel information resources and different types of travel information (<xref ref-type="bibr" rid="B73">Tsaur et&#xa0;al., 2010</xref>). Information skills refer in particular to individuals&#x2019; ability to find, interpret, evaluate and use travel information (<xref ref-type="bibr" rid="B3">Ahmad et&#xa0;al., 2020</xref>). In addition to that, tourism information quality was composed of six items adapted from <xref ref-type="bibr" rid="B76">Wang et&#xa0;al. (2024)</xref>. Travel intention was measured using three items from <xref ref-type="bibr" rid="B23">Gan et&#xa0;al. (2023)</xref>. The final questionnaire is presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Constructs and items.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Constructs</th>
<th valign="middle" align="left">Subconstructs</th>
<th valign="middle" align="left">Items</th>
<th valign="middle" align="left">Measurements</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="6" colspan="2" align="left">Information Quality (IQ) (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>)</td>
<td valign="middle" align="left">IQ1</td>
<td valign="middle" align="left">The information about marine tourism I received on social media is timely for me to make travel decisions.</td>
</tr>
<tr>
<td valign="middle" align="left">IQ2</td>
<td valign="middle" align="left">The information about marine tourism I received on social media is understandable for me to make travel decisions.</td>
</tr>
<tr>
<td valign="middle" align="left">IQ3</td>
<td valign="middle" align="left">The information about marine tourism I received on social media is reliable for making travel decisions.</td>
</tr>
<tr>
<td valign="middle" align="left">IQ4</td>
<td valign="middle" align="left">The information about marine tourism I received on social media is useful for making travel decisions.</td>
</tr>
<tr>
<td valign="middle" align="left">IQ5</td>
<td valign="middle" align="left">The information about marine tourism I received on social media is adequate for making travel decisions.</td>
</tr>
<tr>
<td valign="middle" align="left">IQ6</td>
<td valign="middle" align="left">In general, I think the online travel information about marine tourism on social media I received is in high quality.</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="left">Information Literacy (IL) (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>)</td>
<td valign="middle" rowspan="4" align="left">Information Knowledge (IK)</td>
<td valign="middle" align="left">IK1</td>
<td valign="middle" align="left">I am familiar with various social media platforms (e.g., Rednote, Weibo).</td>
</tr>
<tr>
<td valign="middle" align="left">IK2</td>
<td valign="middle" align="left">I know much about different types of travel information (e.g., weather, geo, transportation, accommodation, destination cultures).</td>
</tr>
<tr>
<td valign="middle" align="left">IK3</td>
<td valign="middle" align="left">I know many social media platforms which provide travel information.</td>
</tr>
<tr>
<td valign="middle" align="left">IK4</td>
<td valign="middle" align="left">I know many digital products in tourism (e.g., electronic tickets, travel insurance, customized travel route).</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">Information Skills (IS)</td>
<td valign="middle" align="left">IS1</td>
<td valign="middle" align="left">I can find information I need from different social media platforms.</td>
</tr>
<tr>
<td valign="middle" align="left">IS2</td>
<td valign="middle" align="left">I have the ability to interpret different travel information (e.g., digital map, photos).</td>
</tr>
<tr>
<td valign="middle" align="left">IS3</td>
<td valign="middle" align="left">I have the ability to evaluate whether the online travel information is useful to my travel decisions.</td>
</tr>
<tr>
<td valign="middle" align="left">IS4</td>
<td valign="middle" align="left">I can use online travel information to plan my trip itinerary.</td>
</tr>
<tr>
<td valign="middle" rowspan="9" align="left">Travel Motivation (TM) (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>)</td>
<td valign="middle" rowspan="5" align="left">Novelty Seeking (NS)</td>
<td valign="middle" align="left">NS1</td>
<td valign="middle" align="left">Experience different cultures and ways of life.</td>
</tr>
<tr>
<td valign="middle" align="left">NS2</td>
<td valign="middle" align="left">Experience different places.</td>
</tr>
<tr>
<td valign="middle" align="left">NS3</td>
<td valign="middle" align="left">Learn new things.</td>
</tr>
<tr>
<td valign="middle" align="left">NS4</td>
<td valign="middle" align="left">Feel the special atmosphere of the destination.</td>
</tr>
<tr>
<td valign="middle" align="left">NS5</td>
<td valign="middle" align="left">Meet new and different people.</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">Escape Seeking (ES)</td>
<td valign="middle" align="left">ES1</td>
<td valign="middle" align="left">Forget about work and other responsibilities.</td>
</tr>
<tr>
<td valign="middle" align="left">ES2</td>
<td valign="middle" align="left">Relieve stress and tension.</td>
</tr>
<tr>
<td valign="middle" align="left">ES3</td>
<td valign="middle" align="left">Forget about personal worries.</td>
</tr>
<tr>
<td valign="middle" align="left">ES4</td>
<td valign="middle" align="left">Relax physically and mentally.</td>
</tr>
<tr>
<td valign="middle" rowspan="3" colspan="2" align="left">Travel Intention (TI) (<xref ref-type="bibr" rid="B23">Gan et&#xa0;al., 2023</xref>)</td>
<td valign="middle" align="left">TI1</td>
<td valign="middle" align="left">I plan to visit the destinations for marine tourism in the near future.</td>
</tr>
<tr>
<td valign="middle" align="left">TI2</td>
<td valign="middle" align="left">I am willing to choose the destinations for marine tourism for my future holidays.</td>
</tr>
<tr>
<td valign="middle" align="left">TI3</td>
<td valign="middle" align="left">Compared other similar destination, I would rather visit the destinations for marine tourism.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>After selecting appropriate measurements for each construct and modifying them to better align with the context of this paper, we sent the questionnaire to three experts in consumer behavior to examine the readability and improve according to the feedback. Acknowledging the variability in individuals understanding about collecting travel information on social media and marine tourism, we introduced two pivotal screening questions to filter out the useless questionnaire data. These two questions are &#x201c;Have you ever used social media platforms to obtain travel information?&#x201d; and &#x201c;Have you ever learned about or participated in Marine tourism?&#x201d;. Only those participants who understand marine tourism and experience the information collection on social media were viewed as useful respondents.</p>
<p>To control for potential biases, a range of control variables are examined: gender, age, education level, monthly salary, annual travel frequency, and the frequency of online tourism information search. Moreover, to mitigate common method bias associated with single-source survey data, we take two remedies. First, respondents were told that their anonymity would be protected, and they can freely present their thoughts. Second, before data collection, we discussed with three experts in consumer behavior to examine the readability. All measurements were pretested to ensure content validity and understandability.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Data collection</title>
<p>Data collection was executed through a leading research participants&#x2019; recruitment organization (Credamo), and 300 questionnaire responses were collected. Among them, 268 participants were classified as valid, resulting in a useful rate of 89%. Demographic insights are presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Demographic insights.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="left">Category</th>
<th valign="middle" align="left">Frequency (N=268)</th>
<th valign="middle" align="left">Percent</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Gender</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">168</td>
<td valign="middle" align="left">62.69%</td>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="left">100</td>
<td valign="middle" align="left">37.31%</td>
</tr>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="left">Less than 25 years</td>
<td valign="middle" align="left">53</td>
<td valign="middle" align="left">19.78%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">26 to less than 35 years</td>
<td valign="middle" align="left">141</td>
<td valign="middle" align="left">52.61%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">36 to less than 45 years</td>
<td valign="middle" align="left">53</td>
<td valign="middle" align="left">19.78%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">46 to less than 55 years</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">5.60%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">56 to less than 65 years</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">1.87%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">More than 66 years</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.37%</td>
</tr>
<tr>
<td valign="middle" align="left">Education levels</td>
<td valign="middle" align="left">Middle school or below</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">1.49%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">High school</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">5.60%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Undergraduate</td>
<td valign="middle" align="left">232</td>
<td valign="middle" align="left">86.57%</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Postgraduate</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">18.28%</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">Income</td>
<td valign="middle" align="left">Less than 5000 yuan</td>
<td valign="middle" align="left">62</td>
<td valign="middle" align="left">23.13%</td>
</tr>
<tr>
<td valign="middle" align="left">5001 to less than 8000 yuan</td>
<td valign="middle" align="left">72</td>
<td valign="middle" align="left">26.87%</td>
</tr>
<tr>
<td valign="middle" align="left">8001 to less than 15000 yuan</td>
<td valign="middle" align="left">94</td>
<td valign="middle" align="left">35.07%</td>
</tr>
<tr>
<td valign="middle" align="left">15001 to less than 30000 yuan</td>
<td valign="middle" align="left">39</td>
<td valign="middle" align="left">14.55%</td>
</tr>
<tr>
<td valign="middle" align="left">More than 30001</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.37%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Specifically, around 63% of the respondents were male compared to 37% female. More than 52% respondents were aged 26&#x2013;35 years old, with over 90% of respondents held higher educational qualifications. Besides that, only around 15% of respondents reported monthly salary above 15000 yuan.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Data analysis</title>
<p>This paper applies a two-stage analytical procedure to examine the validity and reliability of the questionnaire data (<xref ref-type="bibr" rid="B6">Anderson and Gerbing, 1988</xref>). While the first stage focuses on the evaluation of the measurement properties of the instruments, the objective of second stage is to examine the structural relationships (<xref ref-type="bibr" rid="B71">Srivastava and Chandra, 2018</xref>). Three types of validity, which are content validity, convergent validity, and discriminant validity, are examined. Content validity assesses whether the adopted measurements can comprehensively reflect the domain of the construct (<xref ref-type="bibr" rid="B72">Straub et&#xa0;al., 2004</xref>). We examined it when we designed the questionnaire and by checking the consistency between the measurements used in this paper and those in previous studies. Convergent validity discusses whether the items measuring a construct are strongly correlated (<xref ref-type="bibr" rid="B64">Petter et&#xa0;al., 2007</xref>). Since the measurements for constructs were modified based on the existing ones, confirmatory factor analysis (CFA) was applied. As illustrated in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, the factor loading of items was higher than the threshold of 0.7 and the average variance extracted (AVE) was higher than the threshold of 0.5, supporting the good convergent validity (<xref ref-type="bibr" rid="B22">Fornell and Larcker, 1981</xref>). Additionally, the composite reliability was all greater than the threshold of 0.7, suggesting the good reliability of the data (<xref ref-type="bibr" rid="B14">Chin, 1998</xref>). Discriminant validity checks whether there is a significant difference in the measurements between different constructs (<xref ref-type="bibr" rid="B22">Fornell and Larcker, 1981</xref>). As shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, the square root of AVE all exceeded correlations between factors and other constructs, suggesting satisfactory discriminant validity.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Assessment of reliability and convergent validity.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Cronbach&#x2019;s alpha</th>
<th valign="middle" align="center">rho_A</th>
<th valign="middle" align="center">Composite reliability</th>
<th valign="middle" align="center">AVE</th>
<th valign="middle" align="center">Indicator</th>
<th valign="middle" align="center">Factor loading</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="center">Travel Intention</td>
<td valign="middle" align="center">0.701</td>
<td valign="middle" align="center">0.714</td>
<td valign="middle" align="center">0.834</td>
<td valign="middle" align="center">0.627</td>
<td valign="middle" align="center">TI1</td>
<td valign="middle" align="center">0.861</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">TI2</td>
<td valign="middle" align="center">0.749</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">TI3</td>
<td valign="middle" align="center">0.761</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="center">Information Quality</td>
<td valign="middle" align="center">0.792</td>
<td valign="middle" align="center">0.794</td>
<td valign="middle" align="center">0.865</td>
<td valign="middle" align="center">0.616</td>
<td valign="middle" align="center">IQ1</td>
<td valign="middle" align="center">0.749</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IQ2</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IQ3</td>
<td valign="middle" align="center">0.815</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IQ4</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IQ5</td>
<td valign="middle" align="center">0.768</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IQ6</td>
<td valign="middle" align="center">0.804</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Information Knowledge</td>
<td valign="middle" align="center">0.7</td>
<td valign="middle" align="center">0.725</td>
<td valign="middle" align="center">0.832</td>
<td valign="middle" align="center">0.624</td>
<td valign="middle" align="center">IK1</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IK2</td>
<td valign="middle" align="center">0.701</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IK3</td>
<td valign="middle" align="center">0.826</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IK4</td>
<td valign="middle" align="center">0.835</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Information Skills</td>
<td valign="middle" align="center">0.7</td>
<td valign="middle" align="center">0.705</td>
<td valign="middle" align="center">0.833</td>
<td valign="middle" align="center">0.625</td>
<td valign="middle" align="center">IS1</td>
<td valign="middle" align="center">0.82</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IS2</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IS3</td>
<td valign="middle" align="center">0.748</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">IS4</td>
<td valign="middle" align="center">0.802</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">Novelty Seeking</td>
<td valign="middle" align="center">0.707</td>
<td valign="middle" align="center">0.738</td>
<td valign="middle" align="center">0.87</td>
<td valign="middle" align="center">0.771</td>
<td valign="middle" align="center">NS1</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NS2</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NS3</td>
<td valign="middle" align="center">0.91</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NS4</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">NS5</td>
<td valign="middle" align="center">0.845</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Escape Seeking</td>
<td valign="middle" align="center">0.714</td>
<td valign="middle" align="center">0.724</td>
<td valign="middle" align="center">0.839</td>
<td valign="middle" align="center">0.636</td>
<td valign="middle" align="center">ES1</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">ES2</td>
<td valign="middle" align="center">0.84</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">ES3</td>
<td valign="middle" align="center">0.764</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">ES4</td>
<td valign="middle" align="center">0.785</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Correlations and the square roots of AVE.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">1</th>
<th valign="middle" align="center">2</th>
<th valign="middle" align="center">3</th>
<th valign="middle" align="center">4</th>
<th valign="middle" align="center">5</th>
<th valign="middle" align="center">6</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">Travel Intention</td>
<td valign="middle" align="center">
<bold>0.792</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Information Quality</td>
<td valign="middle" align="center">0.509</td>
<td valign="middle" align="center">
<bold>0.785</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">Information Knowledge</td>
<td valign="middle" align="center">0.452</td>
<td valign="middle" align="center">0.462</td>
<td valign="middle" align="center">
<bold>0.79</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">Information Skills</td>
<td valign="middle" align="center">0.441</td>
<td valign="middle" align="center">0.534</td>
<td valign="middle" align="center">0.576</td>
<td valign="middle" align="center">
<bold>0.791</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Novelty Seeking</td>
<td valign="middle" align="center">0.257</td>
<td valign="middle" align="center">0.362</td>
<td valign="middle" align="center">0.306</td>
<td valign="middle" align="center">0.276</td>
<td valign="middle" align="center">
<bold>0.878</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">Escape Seeking</td>
<td valign="middle" align="center">0.14</td>
<td valign="middle" align="center">0.136</td>
<td valign="middle" align="center">0.128</td>
<td valign="middle" align="center">0.278</td>
<td valign="middle" align="center">0.139</td>
<td valign="middle" align="center">
<bold>0.797</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The bold values on the diagonal are the square roots of the AVEs. Values below the diagonal are the inter-construct correlations.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="results">
<label>4</label>
<title>Results</title>
<p>After the confirmation of the validity and reliability of the questionnaire data, ordinary least squares (OLS) regression models were applied to examine the proposed regression models. As delineated in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>, the linear terms of tourism information quality of marine tourism accounted for approximately 28% of the variance in individuals&#x2019; travel intention toward marine tourism. The calculated coefficients for information quality were 0.4293 (p&lt;0.001), signifying that tourism information quality appears to positively impact individuals&#x2019; travel intention. Such findings lend empirical support to Hypothesis 1.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Effect of tourism information quality on individual&#x2019; travel intention.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Travel Intention</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Model (1)</th>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Quality</td>
<td valign="middle" align="center">0.4293***</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0494)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Gender</td>
<td valign="middle" align="center">0.0411</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0722)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Age</td>
<td valign="middle" align="center">-0.0449</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0424)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Education levels</td>
<td valign="middle" align="center">-0.1513*</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0705)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Income</td>
<td valign="middle" align="center">0.0627</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0402)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Cons</td>
<td valign="middle" align="center">3.9237***</td>
</tr>
<tr>
<td valign="middle" align="center">(0.3450)</td>
</tr>
<tr>
<td valign="middle" align="center">Number of obs.</td>
<td valign="middle" align="center">268</td>
</tr>
<tr>
<td valign="middle" align="center">Prob&gt;F</td>
<td valign="middle" align="center">0.0000</td>
</tr>
<tr>
<td valign="middle" align="center">R-squared</td>
<td valign="middle" align="center">0.2751</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>***: P&lt;0.001, *: P&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As illustrated in Model 2 in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, it shows the results of testing the interactive effects of tourism information quality and information literacy on individuals&#x2019; travel intention. The interaction terms showed that individuals&#x2019; information literacy have a significant moderating role in the effect of tourism information quality of marine tourism on their travel intention toward marine tourism. While information skills (estimated coefficient = 0.1813, p&lt;0.05) is positively moderating the impact of tourism information quality on individuals&#x2019; travel intention, the moderating role of information knowledge (estimated coefficient = -0.1855, p&lt;0.05) is the opposite of the proposed hypothesis. Accordingly, the results fail to support Hypothesis 2. Furthermore, the Model 3 indicates the insignificant moderating impact of travel motivation, specifically novelty seeking (estimated coefficient = -0.0645, p&gt;0.05) and escape seeking (estimated coefficient = -0.0112, p&gt;0.05), on the relationship between tourism information quality and individuals&#x2019; travel intention. Therefore, Hypothesis 3 has not been confirmed.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Moderating effect of information literacy and travel motivation on the relationship between tourism information quality and individual&#x2019; travel intention.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" colspan="2" align="center">Travel Intention</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">Model (2)</th>
<th valign="middle" align="center">Model (3)</th>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Quality * Information Knowledge</td>
<td valign="middle" align="center">-0.1855*</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">(0.0759)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Quality * Information Skills</td>
<td valign="middle" align="center">0.1813*</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">(0.0731)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Quality * Novelty Seeking</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-0.0645</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">(0.0467)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Quality * Escape Seeking</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-0.0112</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">(0.0870)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Quality</td>
<td valign="middle" align="center">0.2812</td>
<td valign="middle" align="center">0.8201</td>
</tr>
<tr>
<td valign="middle" align="center">(0.3139)</td>
<td valign="middle" align="center">(0.5661)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Knowledge</td>
<td valign="middle" align="center">1.2674**</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">(0.4293)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Information Skills</td>
<td valign="middle" align="center">-0.8823*</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">(0.4042)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Novelty Seeking</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.3844</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">(0.2556)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Escape Seeking</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.1403</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">(0.4857)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Gender</td>
<td valign="middle" align="center">0.0522</td>
<td valign="middle" align="center">0.0369</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0691)</td>
<td valign="middle" align="center">(0.0729)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Age</td>
<td valign="middle" align="center">-0.0053</td>
<td valign="middle" align="center">-0.0505</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0406)</td>
<td valign="middle" align="center">(0.0425)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Education levels</td>
<td valign="middle" align="center">-0.1852**</td>
<td valign="middle" align="center">-0.1428*</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0671)</td>
<td valign="middle" align="center">(0.0712)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Income</td>
<td valign="middle" align="center">0.0373</td>
<td valign="middle" align="center">0.0605</td>
</tr>
<tr>
<td valign="middle" align="center">(0.0382)</td>
<td valign="middle" align="center">(0.0408)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Cons</td>
<td valign="middle" align="center">2.7240</td>
<td valign="middle" align="center">1.1395</td>
</tr>
<tr>
<td valign="middle" align="center">(1.6360)</td>
<td valign="middle" align="center">(3.1502)</td>
</tr>
<tr>
<td valign="middle" align="center">Number of obs.</td>
<td valign="middle" align="center">268</td>
<td valign="middle" align="center">268</td>
</tr>
<tr>
<td valign="middle" align="center">Prob&gt;F</td>
<td valign="middle" align="center">0.0000</td>
<td valign="middle" align="center">0.0000</td>
</tr>
<tr>
<td valign="middle" align="center">R-squared</td>
<td valign="middle" align="center">0.3626</td>
<td valign="middle" align="center">0.2876</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>**: P&lt;0.01, *: P&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion</title>
<p>This study investigates how tourism information quality on social media influences individuals&#x2019; travel intention toward marine tourism, while accounting for their travel motivation and information literacy. The results confirm that higher perceived information quality is positively associated with individuals&#x2019; intention to participate in marine tourism. This supports prior findings suggesting that quality information enhances users&#x2019; trust in marine tourism information available on social media, thereby strengthening their behavioral intention. However, contrary to expectations, the hypothesized moderating effects of travel motivation and information literacy were not uniformly supported. Specifically, only information skills positively moderated the effect of tourism information quality on travel intention. Surprisingly, information knowledge demonstrated a significant negative moderating effect, while the two motivational dimensions&#x2014;novelty seeking and escape seeking&#x2014;showed no significant moderating effect and even indicated negative directions.</p>
<p>Several factors may explain the unexpected negative or insignificant moderation results. The divergence of information skills suggests that although both constructs pertain to information literacy, they may operate through distinct cognitive pathways. Regarding information knowledge, individuals with higher subjective knowledge may be more skeptical of social media content and more confident in their independent judgment, thereby weakening the influence of tourism information quality. Prior research has found that higher perceived knowledge reduces reliance on external cues, especially in familiar domains (<xref ref-type="bibr" rid="B67">Sharifpour et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>). This overconfidence or selective filtering may reduce the perceived incremental value of the information quality, thereby weakening its impact on travel intention. Given that marine tourism is becoming increasingly mainstream, individuals may already possess baseline knowledge, thus reducing the marginal value of high-quality information for more informed users. In contrast, information skills&#x2014;the capacity to locate, interpret, evaluate, and apply travel-related information (<xref ref-type="bibr" rid="B3">Ahmad et&#xa0;al., 2020</xref>)&#x2014;enhanced the relationship between information quality and travel intention. Such competencies may enhance users&#x2019; capacity to extract value from high-quality tourism information, making them more responsive to credible and well-structured content. This suggests that individuals who are proficient in navigating the digital information environment are more capable of transforming high-quality content into actionable intentions. These findings highlight the distinction between possessing knowledge and operationalizing it effectively, reinforcing the notion that information-processing capabilities are more consequential than static knowledge in digitally mediated travel planning.</p>
<p>The non-significant and negative effects of travel motivation also warrant further consideration. While motivation is traditionally viewed as a key driver of travel intention, its role may vary across contexts or specific travel destination (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>). In this study, high novelty seekers may perceive well-structured tourism information as reducing uncertainty or spontaneity, thereby weakening destination appeal. Additionally, earlier research has noted that tourists often begin their travel planning with multiple potential destinations in mind, and that&#xa0;their motivations can be fulfilled by a variety of destinations (<xref ref-type="bibr" rid="B37">Jang and Cai, 2002</xref>). Similarly, individuals with strong escape&#xa0;motivations may seek emotional stimulation rather than factual detail, and thus respond less positively&#x2014;or even negatively&#x2014;to high levels of informational structure and completeness. These dynamics suggest that the quality cues valued by information systems may not always align with the psychological needs of different traveler types. Furthermore, since individuals&#x2019; travel motivation may be triggered by exposure to specific information (<xref ref-type="bibr" rid="B60">Maghrifani et&#xa0;al., 2022</xref>), it is likely that traditional dimensions such as novelty seeking, and escape seeking may not fully capture the core of travel motivation.</p>
<p>In sum, this study underscores the importance of differentiating among motivational and ability-related factors when applying the AMO framework in tourism contexts. While tourism information quality plays a central role as an enabling factor, its effectiveness is contingent upon how individuals engage with and interpret the content, both cognitively and emotionally. These findings contribute to a more nuanced understanding of how digital information systems shape behavioral intentions in emerging tourism domains such as marine tourism.</p>
</sec>
<sec id="s6">
<label>6</label>
<title>Contribution</title>
<sec id="s6_1">
<label>6.1</label>
<title>Theoretical contributions</title>
<p>This paper makes three key theoretical contributions. First, from a theoretical perspective, the research on the integrative impact of both external environmental factor and individual factors on individuals&#x2019; travel intention is very limited. The study is one of the first attempts to explore the various factors influencing individuals&#x2019; travel intention from an integrative perspective. It also provides empirical evidence to support the use of the AMO framework in the tourism context. By investigating the combined impact of tourism information quality, information literacy and travel motivation on individuals&#x2019; travel intention, this paper responds to calls for investigating the interactive effects among ability, motivation, and opportunity (<xref ref-type="bibr" rid="B11">Bos-Nehles et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B32">Hong and Gajendran, 2018</xref>).</p>
<p>Second, this study advances tourism research by quantitatively examining the impact of tourism information quality on individuals&#x2019; travel intention&#x2014;an area that remains underexplored in the context of marine tourism. While the role of information on social media in shaping travel intention has received considerable attention, few studies have investigated the characteristics of the information itself. By considering both motivational and ability-related factors, this study helps bridge a significant gap in the literature.</p>
<p>Third, the study offers nuanced insights into the heterogeneous nature of information literacy. By distinguishing between information knowledge and information skills, the findings reveal that these two dimensions can have divergent effects on individual behavior. This highlights the context-dependent nature of information literacy and provides a theoretical foundation for future research.</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Practical contributions</title>
<p>In the current era of information explosion, the quality of information provided on social media platforms plays a crucial role in shaping individuals&#x2019; access to effective tourism content and enhancing their overall travel experiences (<xref ref-type="bibr" rid="B53">Li et&#xa0;al., 2025</xref>). The findings of this study offer several practical implications for promoting the sustainable development of marine tourism by addressing the roles and responsibilities of key stakeholders, including government, platform companies, and the tourism industry. Moreover, it also enables individuals to clearly understand the mechanism of their own tourism behaviors.</p>
<p>First, from a governmental perspective, policy support for tourism-related stakeholders remains relatively limited (<xref ref-type="bibr" rid="B45">Khalid et&#xa0;al., 2021</xref>). To facilitate the sustainable development of marine tourism, governments should formulate more comprehensive incentive policies. Such policies not only support industrial growth but also contribute to improving the visibility of tourist destinations, stimulating local economic development, and enriching consumers&#x2019; travel experiences (<xref ref-type="bibr" rid="B2">Aguinis et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B68">Shou and Xu, 2025</xref>). Moreover, the study highlights the significance of information environment governance. Governments are advised to implement regulatory frameworks to manage the dissemination of false or misleading content and improve the overall quality of online tourism information. Policymakers could also support the development of verified social platforms to address information asymmetry and enhance public trust through useful policies. By fostering a trustworthy and well-regulated information environment, governmental efforts can contribute to a more sustainable and competitive tourism ecosystem. In this regard, multi-level coordination among individuals, industries, and public authorities could promote long-term destination attractiveness and traveler satisfaction (<xref ref-type="bibr" rid="B15">Choi and Choi, 2019</xref>).</p>
<p>Second, platform companies&#x2014;particularly social media service providers&#x2014;should optimize their content presentation mechanisms. Personalizing information delivery based on user preferences can significantly enhance user engagement and platform competitiveness. Additionally, digital platforms can tailor content delivery strategies according to users&#x2019; information literacy profiles&#x2014;for example, providing structured and filtered content for users with lower information skills, while allowing more exploratory options for more literate users. In addition, platforms can adopt incentive mechanisms that encourage users to generate and share high-quality content. This not only supports users in accessing reliable and meaningful travel information but also expands the role of social platforms in destination promotion and tourism marketing, especially in emerging sectors such as marine tourism.</p>
<p>Third, for stakeholders within the tourism industry, a deep understanding of how individual travel behaviors are influenced by the digital information environment is critical. Practitioners can enhance competitiveness by aligning marketing and service strategies with tourists&#x2019; online information-seeking behaviors. Furthermore, promoting consumers&#x2019; information literacy can empower individuals to more effectively evaluate and utilize high-quality information from platforms, thereby improving their travel decision-making processes and enriching their tourism experiences. Ultimately, the collaborative efforts of governments, platforms, and industry stakeholders can foster a more informed, engaged, and sustainable marine tourism environment.</p>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>Limitations and future research</title>
<p>This study has several limitations that open avenues for future research. First, while the joint effects of tourism information quality and information literacy on travel intention are supported, the observed interaction patterns&#x2014;particularly the opposite roles of information knowledge and skills&#x2014;deviate from initial expectations. Future studies should further explore these mechanisms in different tourism contexts and cultural settings. Second, this study adopts simplified measures of core constructs. Tourism information quality is treated as a unidimensional concept, and only selected aspects of travel motivation and information literacy are examined. Future research could apply more nuanced, multidimensional frameworks to capture deeper insights. Third, the generalizability of findings may be influenced by contextual and platform-specific factors. Cultural norms, such as the peer influence in collectivist settings, and tourism type, such as the uncertainty inherent in marine tourism versus urban travel, may shape how users process information. Platform differences, particularly in algorithm design and content format, can also affect perceptions of quality. Lastly, this study reflects a specific temporal context. Rapid changes in digital environments, such as the rise of short-form video and post-pandemic shifts in traveler psychology, may alter how individuals evaluate and use tourism information. These evolving conditions underscore the need to revisit and extend the proposed model in future research across diverse technological and behavioral landscapes.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>YZ: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. YJ: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. HT: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. JY: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. Project supported by the Key Soft Science Project of Department of Science and Technology of Zhejiang Province (Grant No. 2022C25050).</p>
</sec>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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