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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1651356</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2025.1651356</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A study on corporate social responsibility of professional football clubs on fans&#x2019; consumption intentions in China</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphys.2025.1651356">10.3389/fphys.2025.1651356</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Chengfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3107429/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Song</surname>
<given-names>Keke</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Linhua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Physical Education, Shanghai University of Engineering Science</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Sports Science and Engineering, East China University of Science and Technology</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2593294/overview">Tiberio Daddi</ext-link>, Sant&#x27;Anna School of Advanced Studies, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2819407/overview">Kuldeep Singh</ext-link>, Gati Shakti Vishwavidyalya, India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3005874/overview">Hilmy Aliriad</ext-link>, Nahdlatul Ulama Sunan Giri University, Indonesia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Keke Song, <email>Songcoco@ecust.edu.cn</email>; Linhua Chen, <email>samc@ecust.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1651356</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Song and Chen.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Song and Chen</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>Purpose</title>
<p>To examine how Chinese fans&#x2019; perception of club CSR affects consumption intentions via fan identification and motivational attribution, and to test the moderating role of involvement.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 1,327 valid questionnaires were collected and analyzed using structural equation modeling and cluster analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>CSR perception had a significant positive effect on consumption intentions; this effect was fully mediated by fan identification and motivational attribution, with the model explaining 40.3% of the variance. Highly involved fans relied primarily on the fan identification path, whereas low-involvement fans relied on the motivational attribution path.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Clubs should implement differentiated CSR strategies tailored to fans&#x2019; levels of involvement to effectively enhance consumption intentions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>professional football clubs</kwd>
<kwd>CSR</kwd>
<kwd>fans identification</kwd>
<kwd>motivational attribution</kwd>
<kwd>involvement</kwd>
<kwd>consumption intentions</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Exercise Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Previous studies have demonstrated that the fulfillment of corporate social responsibility (CSR, abbreviations are used hereafter) by professional sports clubs can positively influence fans&#x2019; consumption intentions (FCIs, abbreviations are used hereafter) (<xref ref-type="bibr" rid="B38">Walker and Kent, 2009</xref>; <xref ref-type="bibr" rid="B23">Lacey et al., 2015</xref>). However, to date all such studies have focused on European Professional Football Clubs, North American Professional Sports Franchises, and their fans. Furthermore, the development of CSR in Chinese professional football clubs has lagged behind that of their European and American counterparts. From the perspective of development trajectories, European and North American professional football clubs originated within local communities, and their supporters are members of a shared collective. Fulfilling social responsibility is therefore a voluntary, proactive act and a long-standing means of sustaining communal identity. Consequently, the history of social-responsibility engagement is extensive, its content and forms are rich and concrete, and supporters are exposed to a large volume of related information. By contrast, Chinese professional football clubs emerged from administrative restructuring and lack an inherent, proactive disposition toward social responsibility. Their engagement tends to be reactive, driven by external expectations, resulting in initiatives that are short-term and superficial. This creates a gap between supporters and CSR-related information, leading to markedly less exposure for Chinese fans. Consequently, Chinese fans&#x2019; perceptions of clubs&#x2019; CSR efforts likely differ significantly from those observed in Western contexts, raising questions about the direct applicability of conclusions drawn from international studies to the Chinese context.</p>
<p>Hence, our study examines whether the perceived CSR of professional football club influences FCIs in the Chinese context and explores the underlying mechanisms of this relationship. While Western studies have addressed similar questions, the dynamics remain underexplored in China due to distinct developmental trajectories of CSR initiatives in professional sports. To address this gap, we empirically analyze survey data from Chinese Super League (CSL) fans, focusing on how their perceptions of clubs&#x2019; CSR shape consumption behaviors.</p>
</sec>
<sec id="s2">
<title>2 Literature review and research hypotheses</title>
<p>Research indicates that proactive CSR initiatives by professional sports clubs generate strategic value, including enhanced consumer engagement through increased repurchase intentions and word-of-mouth advocacy (<xref ref-type="bibr" rid="B38">Walker and Kent, 2009</xref>; <xref ref-type="bibr" rid="B23">Lacey et al., 2015</xref>; <xref ref-type="bibr" rid="B5">Breitbarth and Harris, 2008</xref>). Previous studies on CSR perceptions and consumer behavior in this domain, predominantly grounded in organizational identity theory and relationship quality theory, have identified mediating mechanisms such as fan identification (FI, abbreviations are used hereafter), relationship quality (encompassing commitment, trust, and satisfaction), and emotional attachment (<xref ref-type="bibr" rid="B16">Jin, 2006</xref>; <xref ref-type="bibr" rid="B38">Walker and Kent, 2009</xref>; <xref ref-type="bibr" rid="B29">Scheinbaum and Lacey, 2015</xref>; <xref ref-type="bibr" rid="B22">Lacey and Kennett-Hensel, 2016</xref>). Western scholarship consistently demonstrates a positive association between CSR perceptions and consumer engagement, though these findings largely reflect contexts with mature CSR frameworks in professional sports.</p>
<p>Nevertheless, existing research has overlooked the role of motivational attribution (MA, abbreviations are used in the following text) in shaping fans&#x2019; responses to socially responsible consumption behaviors. Attribution theory posits that individuals&#x2019; perceptions and attitudes toward a behavior or event depend on their attribution of its underlying motives, such as self-interest versus altruism (<xref ref-type="bibr" rid="B17">Kelley, 1973</xref>; <xref ref-type="bibr" rid="B43">Weiner, 1992</xref>). Prior studies on CSR demonstrate that consumers&#x2019; attributions of CSR motives directly influence behavioral outcomes, including purchase intentions, word-of-mouth advocacy, brand loyalty, and reputation assessments (<xref ref-type="bibr" rid="B27">Mohr and Webb, 2005</xref>; <xref ref-type="bibr" rid="B39">Walker et al., 2010</xref>; <xref ref-type="bibr" rid="B9">Ellen et al., 2006</xref>; <xref ref-type="bibr" rid="B14">Groza et al., 2011</xref>). Consequently, MA &#x2014; a psychological construct reflecting individuals&#x2019; evaluations of CSR motives &#x2014; may serve as a critical mechanism mediating the relationship between fans&#x2019; perceptions of professional sports clubs&#x2019; CSR and their subsequent FCIs.</p>
<p>Furthermore, variations in fans&#x2019; involvement levels with professional football clubs may lead to divergent responses between highly involved (&#x201c;hardcore&#x201d;) and casually involved (&#x201c;pseudo-fans&#x201d;) subgroups regarding their perceptions of clubs&#x2019; CSR, identification with the club, attributions of CSR motives, and FCIs. To account for these differences, this study incorporates fan involvement as a moderating variable to examine its role in mediating the relationship between CSR perceptions and FCIs.</p>
<p>Building on this framework, the present research positions FI and MA as parallel mediating mechanisms while integrating involvement &#x2014; a psychological characteristic reflecting fans&#x2019; engagement intensity &#x2014; to investigate how Chinese fans&#x2019; CSR perceptions shape their FCIs. By testing this moderated mediation model, the study elucidates context-specific pathways through which CSR initiatives influence fan behavior in China&#x2019;s evolving professional sports landscape.</p>
<sec id="s2-1">
<title>2.1 Fans&#x2019; CSR perceptions and their FCIs</title>
<p>CSR initiatives positively influence consumers&#x2019; purchase intentions by aligning with their values and enhancing reputational, marketing, and public relations outcomes (<xref ref-type="bibr" rid="B8">Deng and Zhang, 2016</xref>; <xref ref-type="bibr" rid="B9">Ellen et al., 2006</xref>; <xref ref-type="bibr" rid="B25">Ma, 2011</xref>). These effects extend to professional sports, where empirical studies demonstrate that clubs&#x2019; CSR activities strengthen fans&#x2019; engagement and consumption intentions. For instance, <xref ref-type="bibr" rid="B38">Walker and Kent (2009)</xref> surveyed 297 National Football League (NFL) fans and revealed that perceptions of clubs&#x2019; CSR efforts significantly improved both club reputation and FCIs. Similarly, <xref ref-type="bibr" rid="B23">Lacey et al. (2015)</xref> examined North American professional basketball fans, revealing that CSR perceptions drive positive word-of-mouth advocacy. Building on this evidence, we propose the following hypothesis:</p>
<p>H1: The stronger fans perceive a professional football club&#x2019;s CSR, the greater their FCIs.</p>
</sec>
<sec id="s2-2">
<title>2.2 The mediating role of FI</title>
<p>FI with professional sports clubs is reflected in distinct behavioral and psychological patterns. Highly identified fans actively seek club-related information, advocate for their teams within social networks (<xref ref-type="bibr" rid="B1">Ashforth and Mael, 1989</xref>), and use inclusive language (e.g., &#x201c;How is our club performing?&#x201d;) to signal psychological ownership. This identification further manifests through symbolic gestures such as wearing team-branded apparel and publicly signaling affiliation (<xref ref-type="bibr" rid="B24">Lock et al., 2012</xref>). During matches, strongly identified fans exhibit intense loyalty, engaging in coordinated cheering, disruptive tactics toward opposing players, and vocal criticism of referees&#x2019; contentious decisions (<xref ref-type="bibr" rid="B6">Cialdini et al., 1976</xref>). Extensive research demonstrates that fan identification generates strategic value for professional sports clubs, enhancing fan loyalty, strengthening brand equity, and increasing willingness to attend matches, purchase merchandise, and travel for away games (<xref ref-type="bibr" rid="B41">Wann et al., 2001</xref>; <xref ref-type="bibr" rid="B32">Sutton et al., 1997</xref>; <xref ref-type="bibr" rid="B13">Gladden and Funk, 2001</xref>). Within sports consumption research, scholars have empirically validated that clubs&#x2019; CSR initiatives positively influence FI (<xref ref-type="bibr" rid="B13">Gladden and Funk, 2001</xref>). Building on this evidence, we propose the following hypotheses:</p>
<p>H2: The stronger fans perceive a professional football club&#x2019;s CSR, the stronger their identification with the club.</p>
<p>H3: The stronger fans&#x2019; identification with a professional football club, the greater their willingness to express FCIs.</p>
<p>H4: FI mediates the relationship between perceptions of a club&#x2019;s CSR and FCIs.</p>
</sec>
<sec id="s2-3">
<title>2.3 Mediating role of MA</title>
<p>Attribution theory posits that individuals&#x2019; perceptions and attitudes toward behaviors or events depend on their causal inferences (<xref ref-type="bibr" rid="B17">Kelley, 1973</xref>). Consumers&#x2019; attributions of CSR motives are categorized as either altruistic (driven by social welfare goals) or self-interested (aimed at organizational gain) (<xref ref-type="bibr" rid="B37">Vlachos et al., 2013</xref>; <xref ref-type="bibr" rid="B7">Deng and Long, 2017</xref>). Consumers exhibit more favorable attitudes toward companies when they attribute CSR initiatives to altruistic motives rather than self-interest (<xref ref-type="bibr" rid="B26">Mason, 2001</xref>; <xref ref-type="bibr" rid="B15">Jiang and Shi, 2017</xref>). Empirical evidence confirms that CSR motive attributions directly influence consumer engagement, including purchase intentions, word-of-mouth advocacy, brand loyalty, and reputation evaluations (<xref ref-type="bibr" rid="B39">Walker et al., 2010</xref>). Furthermore, public perceptions of CSR intensity shape these attributions: higher perceived CSR levels correlate with more positive corporate evaluations (<xref ref-type="bibr" rid="B12">Gao, 2009</xref>). <xref ref-type="bibr" rid="B20">Klein and Dawar&#x2019;s (2004)</xref> experimental study further substantiates this relationship, demonstrating that CSR intensity significantly predicts consumer attributions. Based on this framework, we propose the following hypotheses:</p>
<p>H5: The stronger fans perceive a professional football club&#x2019;s CSR, the more likely they are to attribute its CSR efforts to altruistic motives.</p>
<p>H6: Fans who attribute CSR initiatives to altruistic motives demonstrate greater willingness to engage in FCIs.</p>
<p>H7: Altruistic attributions mediate the relationship between perceived CSR and FCIs.</p>
</sec>
<sec id="s2-4">
<title>2.4 MA and FI</title>
<p>Prior research indicates that fans exhibit positive identification with professional sports clubs&#x2019; CSR initiatives, which enhances their willingness to purchase, engage in word-of-mouth advocacy, and consume team merchandise (<xref ref-type="bibr" rid="B38">Walker and Kent, 2009</xref>). However, attribution theory suggests that such responses depend critically on fans&#x2019; causal inferences about clubs&#x2019; motives (<xref ref-type="bibr" rid="B17">Kelley, 1973</xref>; <xref ref-type="bibr" rid="B42">Weiner, 1989</xref>). Specifically, fans affirm CSR behaviors only when they attribute them to altruistic goals aimed at societal welfare. Conversely, if fans perceive CSR efforts as self-interested responses to external pressures or profit motives, their approval and engagement diminish significantly. This mechanism aligns with findings in marketing research: <xref ref-type="bibr" rid="B21">Kou (2008)</xref> demonstrated that consumers&#x2019; attributions of CSR motives directly shape their CSR identification. Building on this theoretical and empirical foundation, we propose:</p>
<p>H8: The stronger fans perceive altruistic motives underlying a professional football club&#x2019;s CSR, the stronger their identification with the club.</p>
</sec>
<sec id="s2-5">
<title>2.5 Role of involvement influence</title>
<p>Involvement denotes an individual&#x2019;s perceived relevance of a target object based on personal needs, interests, or values (<xref ref-type="bibr" rid="B31">Sherif and Cantril, 1947</xref>). In sports, fans represent a distinct consumer segment characterized by heightened involvement with specific sports or clubs (<xref ref-type="bibr" rid="B30">Shank et al., 1998</xref>; <xref ref-type="bibr" rid="B36">Underwood et al., 2001</xref>; <xref ref-type="bibr" rid="B33">Taylor and Rice, 2012</xref>). Scholarly work establishes that high fan involvement correlates strongly with attitudinal and behavioral loyalty, including game attendance, repurchase intent (i.e., repeated ticket purchases), and positive word-of-mouth advocacy (<xref ref-type="bibr" rid="B2">Bee and Havitz, 2010</xref>; <xref ref-type="bibr" rid="B3">Bennett et al., 2009</xref>; <xref ref-type="bibr" rid="B11">Funk et al., 2004</xref>). Empirical research further demonstrates that fan involvement positively predicts identification levels (<xref ref-type="bibr" rid="B34">Tsiotsou and Alexandris, 2009</xref>; <xref ref-type="bibr" rid="B47">Shawn and Philip, 2012</xref>), with deeper engagement in a sport or club fostering stronger psychological affiliation (<xref ref-type="bibr" rid="B10">Fisher and Wakefield, 1998</xref>). Consequently, highly involved fans are more prone to a halo effect, wherein greater club involvement amplifies their identification with the club&#x2019;s CSR initiatives. In contrast, low-involvement fans, akin to general consumers, may remain skeptical of the motives behind CSR initiatives despite recognizing the CSR initiatives&#x2019; positive valence, necessitating attributional explanations to engage. This leads to the following hypotheses:</p>
<p>H9: For highly involved fans, identification mediates the relationship between perceived CSR and FCIs.</p>
<p>H10: For low-involvement fans, motivational attribution mediates the relationship between perceived CSR and FCIs.</p>
<p>The proposed theoretical model is illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Theoretical model of the study.</p>
</caption>
<graphic xlink:href="fphys-16-1651356-g001.tif">
<alt-text content-type="machine-generated">Flowchart with four ovals labeled FI, CSR, FCIs, and MA. Arrows indicate relationships: CSR connects to FI and MA, which connects to FI. FI points to FCIs, and FCIs points to MA.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="methods" id="s3">
<title>3 Methodology</title>
<sec id="s3-1">
<title>3.1 Variable measurement</title>
<p>The measurement of the variables in this study is primarily based on the adaptation of existing international research. Specifically, the perception of CSR among professional football clubs is mainly derived from the works of <xref ref-type="bibr" rid="B38">Walker et al. (2009)</xref> and <xref ref-type="bibr" rid="B19">Kim et al. (2016)</xref>. FI is informed by the research conducted by <xref ref-type="bibr" rid="B40">Wang et al. (2012)</xref>, while MA is grounded in the theoretical framework proposed by <xref ref-type="bibr" rid="B28">Rifon et al. (2004)</xref>. Lastly, FCIs is based on the studies by <xref ref-type="bibr" rid="B35">Tzetzis et al. (2014)</xref> and <xref ref-type="bibr" rid="B18">Kim and James (2016)</xref>. The revision procedure comprised three key steps: (1) employing a &#x201c;two-way translation&#x201d; method, which involved translating the initial scale of variables into Chinese and subsequently inviting English specialists to translate it back into English for comparative analysis and refinement, resulting in the finalized scale entries; (2) Fan-perceived social responsibility is the core variable in this study. The revision procedure is as follows: first, a content analysis was conducted to collate the social-responsibility information publicly disclosed on the official websites and Sina Weibo accounts of all 21 Chinese Super League clubs. Second, the social-responsibility content was coded and combined with items from existing scales to develop a semi-structured interview protocol; interviews were then carried out with fans to ascertain the content of fan-perceived social responsibility. Third, specific measurement items were generated on the basis of the social-responsibility content perceived by fans.; and (3) administering 188 valid questionnaires to perform a pretest. Item analysis was used to select items with high discriminability, and exploratory factor analysis was employed to identify indicators with high factor loadings. After selecting all items, experts were invited to review and refine them.</p>
<p>The final CSR perception scale for professional football clubs comprises 16 items across 5 dimensions: employee responsibility, fan responsibility, youth responsibility, special population responsibility, and community responsibility. Employee responsibility encompasses care for employees&#x2019; personal lives (congratulations on weddings, births, birthdays and other important milestones), concern for players during training and matches (such as when injuries occur), organizing recreational activities for staff, and looking after retired employees (hospital visits, financial assistance, and memorials when they pass away). Fan responsibility includes fan-appreciation initiatives (discounted tickets, football merchandise, dedicated match-day transportation), safeguarding supporters&#x2019; rights and interests (ticket handling and financial compensation), and caring for fans (get-well visits for the sick, assistance for the injured or disabled, and general fan welfare). Youth responsibility involves donating welfare items, organizing youth football tournaments, and providing free football coaching in schools. Special population responsibility covers financial aid for people with disabilities, the poor, or the ill; inviting members of special groups to attend matches; and holding tributes during games for victims of major incidents. Community responsibility includes participating in environmental-protection activities, promoting anti-drug campaigns, and fostering the development of amateur football in local communities. Additionally, the scale includes six single-dimension indicators for fan identification, seven single-dimension indicators for motivational attribution, and 11 indicators for consumption intention, encompassing three dimensions: repurchase, word-of-mouth, and licensed merchandise purchase.</p>
<p>For the measurement of involvement, this study adopted the approach used by fitness consumer involvement research (<xref ref-type="bibr" rid="B46">Xu, 2016</xref>), fan involvement was assessed through three objective indicators: time spent watching matches, frequency of match attendance, ticket type purchased (e.g., season tickets vs. single-game passes).</p>
</sec>
<sec id="s3-2">
<title>3.2 Data collection</title>
<p>Our study received approval from the lead author&#x2019;s Institutional Review Board (IRB) prior to data collection. The formal distribution of questionnaires was conducted through two methods: (1) on-site distribution at Chinese Super League matches, which took place before and during the games, and (2) online distribution to fans&#x2019; associations affiliated with the clubs.</p>
<p>In total, 1,115 questionnaires were collected on-site. After excluding incomplete responses and those marked by random answering, 962 valid questionnaires remained. The research team carried out field surveys on 10 September 2017 (Shanghai Shenhua vs. Henan Jianye), 19 September 2017 (Shanghai Shenhua vs. Shandong Luneng) and 23 September 2017 (Shanghai Shenhua vs. Guangzhou R&#x26;F) around Shanghai Shenhua FC&#x2019;s home ground, Hongkou Football Stadium in Shanghai; on 9 September 2017 (Shanghai SIPG vs. Tianjin Yili) and 16 September 2017 (Shanghai SIPG vs. Shanghai Shenhua) around Shanghai SIPG FC&#x2019;s home ground, the 80,000-seat Shanghai Stadium; and on 28 September 2017 (Jiangsu Suning vs. Tianjin Quanjian) at Jiangsu Suning FC&#x2019;s home ground, Nanjing Olympic Sports Centre, distributing questionnaires to spectators before and after each match. For the exact number of questionnaires distributed at each club, please refer to Supplementary Material Table S1. For the online distribution, 365 questionnaires were distributed (172 from Shandong Luneng Taishan FC and 193 from Beijing C.H. Guoan FC), and all 365 were deemed valid. Combining both on-site and online distributions, the total number of valid questionnaires was 1,327 (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic characterization of the sample.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Category</th>
<th align="center">Option</th>
<th align="center">Sample</th>
<th align="center">Percentage</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="center">Gender</td>
<td align="center">Male</td>
<td align="center">803</td>
<td align="center">60.50%</td>
</tr>
<tr>
<td align="center">Female</td>
<td align="center">524</td>
<td align="center">39.50%</td>
</tr>
<tr>
<td rowspan="5" align="center">Age</td>
<td align="center">Under 18</td>
<td align="center">47</td>
<td align="center">3.54%</td>
</tr>
<tr>
<td align="center">19&#x2013;25 years</td>
<td align="center">298</td>
<td align="center">22.5%</td>
</tr>
<tr>
<td align="center">26&#x2013;35 years</td>
<td align="center">527</td>
<td align="center">39.71%</td>
</tr>
<tr>
<td align="center">36&#x2013;45 years</td>
<td align="center">361</td>
<td align="center">27.20%</td>
</tr>
<tr>
<td align="center">46&#x2013;55 years</td>
<td align="center">94</td>
<td align="center">7.10%</td>
</tr>
<tr>
<td rowspan="6" align="center">Monthly Income</td>
<td align="center">No income</td>
<td align="center">346</td>
<td align="center">26.10%</td>
</tr>
<tr>
<td align="center">Below 3,000 RMB</td>
<td align="center">37</td>
<td align="center">2.80%</td>
</tr>
<tr>
<td align="center">3,001-5,000 RMB</td>
<td align="center">121</td>
<td align="center">9.10%</td>
</tr>
<tr>
<td align="center">5,001-8,000 RMB</td>
<td align="center">355</td>
<td align="center">26.80%</td>
</tr>
<tr>
<td align="center">8,001-10,000 RMB</td>
<td align="center">308</td>
<td align="center">23.20%</td>
</tr>
<tr>
<td align="center">Above 10,000 RMB</td>
<td align="center">160</td>
<td align="center">12.10%</td>
</tr>
<tr>
<td rowspan="5" align="center">Occupation</td>
<td align="center">Student</td>
<td align="center">288</td>
<td align="center">21.70%</td>
</tr>
<tr>
<td align="center">Employee (private and public)</td>
<td align="center">823</td>
<td align="center">62.01%</td>
</tr>
<tr>
<td align="center">Managerial staff</td>
<td align="center">91</td>
<td align="center">6.90%</td>
</tr>
<tr>
<td align="center">Civil servant</td>
<td align="center">31</td>
<td align="center">2.30%</td>
</tr>
<tr>
<td align="center">Freelancer</td>
<td align="center">94</td>
<td align="center">7.10%</td>
</tr>
<tr>
<td rowspan="4" align="center">Educational Level</td>
<td align="center">Junior high school or below</td>
<td align="center">168</td>
<td align="center">12.70%</td>
</tr>
<tr>
<td align="center">Senior/vocational/technical school or below</td>
<td align="center">389</td>
<td align="center">29.30%</td>
</tr>
<tr>
<td align="center">Bachelor&#x2019;s/College (including current students)</td>
<td align="center">640</td>
<td align="center">48.20%</td>
</tr>
<tr>
<td align="center">Master&#x2019;s degree or above</td>
<td align="center">130</td>
<td align="center">9.80%</td>
</tr>
<tr>
<td rowspan="3" align="center">Years of Spectating</td>
<td align="center">Less than 1 year</td>
<td align="center">320</td>
<td align="center">24.10%</td>
</tr>
<tr>
<td align="center">1&#x2013;3 years</td>
<td align="center">522</td>
<td align="center">39.30%</td>
</tr>
<tr>
<td align="center">Over 3 years</td>
<td align="center">485</td>
<td align="center">36.50%</td>
</tr>
<tr>
<td rowspan="3" align="center">Frequency of Spectating</td>
<td align="center">Occasionally (fewer than 5 times)</td>
<td align="center">430</td>
<td align="center">32.40%</td>
</tr>
<tr>
<td align="center">Approximately within 15 times</td>
<td align="center">599</td>
<td align="center">45.10%</td>
</tr>
<tr>
<td align="center">15-30 times</td>
<td align="center">298</td>
<td align="center">22.50%</td>
</tr>
<tr>
<td rowspan="2" align="center">Ticket Type</td>
<td align="center">Season ticket</td>
<td align="center">810</td>
<td align="center">61.00%</td>
</tr>
<tr>
<td align="center">Single ticket</td>
<td align="center">517</td>
<td align="center">39.00%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 Statistical analysis of data</title>
<p>In this study, the questionnaire data were analyzed using SPSS 24.0 and Amos 23.0 statistical software. Discussions were conducted based on the analysis results.</p>
</sec>
<sec id="s3-4">
<title>3.4 Tables</title>
<sec id="s3-4-1">
<title>3.4.1 Reliability</title>
<p>To assess the reliability of the large-sample questionnaire, the study utilized the internal consistency &#x3b1; coefficient. The specific test results are presented in <xref ref-type="table" rid="T2">Table 2</xref>, where the Cronbach&#x2019;s &#x3b1; coefficient ranges from 0.879 to 0.909. These values meet the corresponding reliability criteria (high reliability when &#x3b1; &#x2265; 0.70; acceptable when 0.35 &#x2264; &#x3b1; &#x2264; 0.70) (<xref ref-type="bibr" rid="B45">Wu, 2010</xref>), indicating that the large-sample questionnaire demonstrates a high level of reliability.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Reliability analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Variable</th>
<th align="center">Dimensions</th>
<th align="center">Cronbach&#x2019;s&#x3b1;</th>
<th align="center">Composite<break/>reliability</th>
<th align="center">AVE</th>
<th align="center">Total Cronbach&#x2019;s &#x3b1;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="5" align="center">CSR</td>
<td align="center">Employee Responsibility</td>
<td align="center">0.787</td>
<td rowspan="5" align="center">0.888</td>
<td rowspan="5" align="center">0.613</td>
<td rowspan="5" align="center">0.909</td>
</tr>
<tr>
<td align="center">Fan Responsibility</td>
<td align="center">0.824</td>
</tr>
<tr>
<td align="center">Youth Responsibility</td>
<td align="center">0.819</td>
</tr>
<tr>
<td align="center">Responsibility for special groups</td>
<td align="center">0.792</td>
</tr>
<tr>
<td align="center">Community responsibility</td>
<td align="center">0.775</td>
</tr>
<tr>
<td align="center">FI</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.871</td>
<td align="center">0.531</td>
<td align="center">0.879</td>
</tr>
<tr>
<td align="center">MA</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.895</td>
<td align="center">0.551</td>
<td align="center">0.894</td>
</tr>
<tr>
<td rowspan="3" align="center">FCIs</td>
<td align="center">Repurchase</td>
<td align="center">0.826</td>
<td rowspan="3" align="center">0.835</td>
<td rowspan="3" align="center">0.628</td>
<td rowspan="3" align="center">0.884</td>
</tr>
<tr>
<td align="center">Word-of-mouth</td>
<td align="center">0.828</td>
</tr>
<tr>
<td align="center">Purchase licensed merchandise</td>
<td align="center">0.804</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4-2">
<title>3.4.2 Validity analysis</title>
<p>To evaluate the structural validity of the formal questionnaire, the study examined both convergent and discriminant validity. Convergent validity was assessed using validated factor analysis, which involves evaluating two key metrics: the Average Variance Extracted (AVE) and Combined Reliability (CR). According to established criteria, an AVE value of &#x2265;0.5 and a CR value of &#x2265;0.7 indicate acceptable levels of convergent validity (<xref ref-type="bibr" rid="B4">Borsboom et al., 2004</xref>). As shown in <xref ref-type="table" rid="T2">Table 2</xref>, the AVE and CR values for perceived CSR, FI, MA, and FCIs all meet these criteria, confirming that the measurement scales exhibit strong convergent validity.</p>
<p>The discriminant validity of the four core variables (perceived CSR, FI, MA, and FCIs) was evaluated using the results presented in <xref ref-type="table" rid="T3">Table 3</xref>. Discriminant validity is confirmed when the square root of the AVE for each variable exceeds the correlation coefficients between that variable and all other latent variables. As demonstrated in <xref ref-type="table" rid="T3">Table 3</xref>, this condition is satisfied for all variables, indicating that the questionnaire possesses robust discriminant validity.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Results of the discriminant validity test.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Variable</th>
<th align="center">CSR</th>
<th align="center">FI</th>
<th align="center">MA</th>
<th align="center">FCIs</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">CSR</td>
<td align="center">0.783</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">FI</td>
<td align="center">0.248</td>
<td align="center">0.729</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">MA</td>
<td align="center">0.177</td>
<td align="center">0.271</td>
<td align="center">0.742</td>
<td align="left"/>
</tr>
<tr>
<td align="center">FCIs</td>
<td align="center">0.175</td>
<td align="center">0.452</td>
<td align="center">0.393</td>
<td align="center">0.792</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values on the diagonal indicate the square root of the AVE, of each variable, and values on the off-diagonal indicate the correlation coefficient between the variables.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>4 Result</title>
<p>This study employs structural equation modeling (SEM) to evaluate the research hypotheses and theoretical framework proposed in the preceding study, which encompass both direct and mediating effects. The direct effect model examines the relationship between the independent variable (CSR) and the dependent variable (FCIs). Two mediation models are examined: Mediation Model 1 assesses the mediating role of FI between fan-perceived CSR and FCIs, whereas Mediation Model 2 incorporates a sequential mediation pathway involving FI and MA to explain the relationship between fan-perceived CSR and FCIs.</p>
<sec id="s4-1">
<title>4.1 Overall model fit</title>
<p>This study evaluates the theoretical framework proposed in the preceding section by assessing the overall model fit (OMF). OMF is analyzed using absolute fit indices (e.g., RMSEA, SRMR) and incremental fit indices (e.g., CFI, TLI), with detailed criteria and results provided in <xref ref-type="table" rid="T4">Table 4</xref>. Structural relationships for the direct effect model, Mediation Model 1 (incorporating FI), and Mediation Model 2 (incorporating FI and MA) are illustrated in <xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>, respectively.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Comparison of direct effect model and mediation effect model.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Model parameter estimation</th>
<th colspan="2" align="left">Direct effect model</th>
<th colspan="2" align="left">Mediation model 1</th>
<th colspan="2" align="left">Mediation model 2</th>
<th rowspan="2" align="left">Supported</th>
</tr>
<tr>
<th align="left">Hypothesis &#x26; path</th>
<th align="left">Standardized coefficient</th>
<th align="left">t</th>
<th align="left">Standardized coefficient</th>
<th align="left">t</th>
<th align="left">Standardized coefficient</th>
<th align="left">t</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">CSR&#x2192;FCIs</td>
<td align="left">0.224&#x2a;&#x2a;&#x2a;</td>
<td align="left">6.205</td>
<td align="left">0.074&#x2a;</td>
<td align="left">2.256</td>
<td align="left">0.030</td>
<td align="left">0.969</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">CSR&#x2192;FI</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">0.284&#x2a;&#x2a;&#x2a;</td>
<td align="left">8.098</td>
<td align="left">0.233&#x2a;&#x2a;&#x2a;</td>
<td align="left">6.888</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">CSR&#x2192;MA</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">0.206&#x2a;&#x2a;&#x2a;</td>
<td align="left">6.261</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">FI&#x2192; FCIs</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">0.527&#x2a;&#x2a;&#x2a;</td>
<td align="left">12.996</td>
<td align="left">0.441&#x2a;&#x2a;&#x2a;</td>
<td align="left">11.643</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">MA&#x2192; FCIs</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">0.331&#x2a;&#x2a;&#x2a;</td>
<td align="left">10.113</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">MA&#x2192;FI</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">0.249&#x2a;&#x2a;&#x2a;</td>
<td align="left">7.842</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">R<sup>2</sup>
</td>
<td colspan="2" align="left">0.050</td>
<td colspan="2" align="left">0.306</td>
<td colspan="3" align="left">0.403</td>
</tr>
<tr>
<td colspan="8" align="left">Factor loading</td>
</tr>
<tr>
<td align="left">Employee Responsibility<break/>&#x2192;CSR</td>
<td align="left">0.794</td>
<td align="left">-</td>
<td align="left">0.795</td>
<td align="left">-</td>
<td align="left">0.796</td>
<td align="left">-</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Fan Responsibility<break/>&#x2192;CSR</td>
<td align="left">0.837</td>
<td align="left">17.194</td>
<td align="left">0.833</td>
<td align="left">17.205</td>
<td align="left">0.833</td>
<td align="left">17.214</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Youth Responsibility &#x2192;CSR</td>
<td align="left">0.743</td>
<td align="left">15.979</td>
<td align="left">0.744</td>
<td align="left">16.008</td>
<td align="left">0.744</td>
<td align="left">16.016</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Responsibility for special groups &#x2192;CSR</td>
<td align="left">0.745</td>
<td align="left">15.747</td>
<td align="left">0.746</td>
<td align="left">15.77</td>
<td align="left">0.744</td>
<td align="left">15.762</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Community responsibility &#x2192;CSR</td>
<td align="left">0.790</td>
<td align="left">15.680</td>
<td align="left">0.792</td>
<td align="left">15.718</td>
<td align="left">0.793</td>
<td align="left">15.732</td>
<td align="left"/>
</tr>
<tr>
<td align="left">FI</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left"/>
</tr>
<tr>
<td align="left">MA</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Repurchase &#x2192; FCIs</td>
<td align="left">0.814</td>
<td align="left">-</td>
<td align="left">0.823</td>
<td align="left">-</td>
<td align="left">0.817</td>
<td align="left">-</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Word-of-mouth<break/>&#x2192; FCIs</td>
<td align="left">0.792</td>
<td align="left">16.777</td>
<td align="left">0.786</td>
<td align="left">17.608</td>
<td align="left">0.795</td>
<td align="left">18.018</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Purchase licensed merchandise &#x2192; FCIs</td>
<td align="left">0.771</td>
<td align="left">15.638</td>
<td align="left">0.768</td>
<td align="left">16.22</td>
<td align="left">0.766</td>
<td align="left">16.566</td>
<td align="left"/>
</tr>
<tr>
<td colspan="8" align="left">Absolute fit indices</td>
</tr>
<tr>
<td align="left">1&#x3c;&#x3c7;<sup>2</sup>/df &#x3c; 3</td>
<td colspan="2" align="left">403.286/315 &#x3d; 1.280</td>
<td colspan="2" align="left">589.914/484 &#x3d; 1.219</td>
<td colspan="2" align="left">836.351/726 &#x3d; 1.152</td>
<td align="left"/>
</tr>
<tr>
<td align="left">RMR&#x3c;0.05</td>
<td colspan="2" align="left">0.099</td>
<td colspan="2" align="left">0.097</td>
<td colspan="2" align="left">0.095</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SRMR&#x3c;0.05</td>
<td colspan="2" align="left">0.024</td>
<td colspan="2" align="left">0.024</td>
<td colspan="2" align="left">0.023</td>
<td align="left"/>
</tr>
<tr>
<td align="left">GFI&#x3e;0.9</td>
<td colspan="2" align="left">0.978</td>
<td colspan="2" align="left">0.973</td>
<td colspan="2" align="left">0.995</td>
<td align="left"/>
</tr>
<tr>
<td align="left">AGFI&#x3e;0.9</td>
<td colspan="2" align="left">0.974</td>
<td colspan="2" align="left">0.969</td>
<td colspan="2" align="left">0.965</td>
<td align="left"/>
</tr>
<tr>
<td align="left">RMSEA&#x3c;0.08</td>
<td colspan="2" align="left">0.015</td>
<td colspan="2" align="left">0.013</td>
<td colspan="2" align="left">0.011</td>
<td align="left"/>
</tr>
<tr>
<td colspan="8" align="left">Incremental fit indices</td>
</tr>
<tr>
<td align="left">NFI&#x3e;0.9</td>
<td colspan="2" align="left">0.974</td>
<td colspan="2" align="left">0.970</td>
<td colspan="2" align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">CFI&#x3e;0.9</td>
<td colspan="2" align="left">0.994</td>
<td colspan="2" align="left">0.994</td>
<td colspan="2" align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Direct and mediating effects of CSR on FCIs <bold>(A)</bold> Direct effect: CSR &#x2192; FCIs (&#x03B2; &#x003D; 0.224). <bold>(B)</bold> Mediating effect 1: CSR &#x2192; FI (&#x03B2; &#x003D; 0.284), FI &#x2192; FCIs (&#x03B2; &#x003D; 0.527), and the indirect effect CSR &#x2192; FCIs via FI (&#x03B2; &#x003D; 0.074). <bold>(C)</bold> Mediating effect 2: CSR &#x2192; FI (&#x03B2; &#x003D; 0.233), CSR &#x2192; MA (&#x03B2; &#x003D; 0.206), FI &#x2192; FCIs (&#x03B2; &#x003D; 0.441), FI &#x2192; MA (&#x03B2; &#x003D; 0.249), and MA &#x2192; FCIs (&#x03B2; &#x003D; 0.331). All coefficients are significant at p &#x003C; 0.001.</p>
</caption>
<graphic xlink:href="fphys-16-1651356-g002.tif">
<alt-text content-type="machine-generated">Diagram showing three models of effects. (A) Direct effects: CSR to FCIs with a coefficient of 0.224. (B) Mediating effects 1: CSR to FI (0.284), FI to FCIs (0.527), and CSR to FCIs via FI (0.074). (C) Mediating effects 2: CSR to FI (0.233) and FCIs (0.206), FI to FCIs (0.441), and FI to MA (0.249), MA to FCIs (0.331). All values are statistically significant.</alt-text>
</graphic>
</fig>
<p>As indicated in <xref ref-type="table" rid="T4">Table 4</xref>, the slightly elevated RMR is due to the large sample size, the root mean square residual (RMR) did not meet established thresholds, necessitating reliance on additional fit indices for comprehensive evaluation (<xref ref-type="bibr" rid="B44">Wu, 2009</xref>). Key model fit criteria demonstrated acceptable levels: GFI &#x3e;0.9, AGFI &#x3e;0.9, NFI &#x3e;0.9, CFI &#x3e;0.9, RMSEA &#x3c;0.08, and standardized root mean square residual (SRMR) within recommended standards. These results collectively suggest adequate fit for both the direct effect model and the mediation models.</p>
</sec>
<sec id="s4-2">
<title>4.2 Comparison of direct effect model and mediated effect model</title>
<p>
<list list-type="simple">
<list-item>
<p>1. The direct effect model analysis reveals a significant positive relationship between fans&#x2019; perceived CSR and FCIs, with a standardized path coefficient of 0.224 (t &#x3d; 6.205 &#x3e; 1.96). This indicates that heightened perceptions of clubs&#x2019; CSR initiatives correlate with stronger FCIs, thereby supporting research hypothesis H1.</p>
</list-item>
<list-item>
<p>2. In mediation model 1, the inclusion of FI as a mediator significantly reduced the standardized path coefficient of perceived CSR on FCIs from 0.224 to 0.074 (t &#x3d; 2.256 &#x3e; 1.96). Meanwhile, the model&#x2019;s explanatory power improved substantially, with the variance explained (R<sup>2</sup>) increasing from 0.050 to 0.306. These results indicate that FI partially mediates the relationship between CSR perceptions and FCIs, thereby validating hypotheses H2, H3, and H4.</p>
</list-item>
<list-item>
<p>3. In mediation model 2, FI and MA fully mediate the effect of fans&#x2019; perceived CSR and FCIs, as evidenced by two results: 1) In terms of explanatory power, the mediation effect model 2 has significantly enhanced its explanatory power relative to that of the direct effect model (the value of R<sup>2</sup> has been enhanced from the original 0.306&#x2013;0.403); 2) The standardized path coefficient of fans&#x2019; perception of CSR on FCIs was 0.030 (t &#x3d; 0.969 &#x3c; 1.96), which did not reach a significant level. This indicates that the effect of fans&#x2019; perceived CSR on FCIs completely disappears after adding the two mediating variables of FI and MA. In addition, the goodness-of-fit of the mediated effects model 2 improved relative to the direct effects model. Therefore, research hypotheses H5-H7 are valid. Furthermore, based on the path coefficients, the effect of FI on FCIs is greater than the effect of MA on FCIs (standard path coefficient values of 0.441 &#x3e; 0.331 and t &#x3d; 11.643 and 10.113), indicating that FI is greater than the effect of MA on FCIs;</p>
</list-item>
<list-item>
<p>4. In mediation model 2, the standardized path coefficient from MA to FI is 0.249 (t &#x3d; 7.842 &#x3e; 1.96) indicating that the stronger the fans&#x2019; altruistic motivational tendency, the stronger FI with professional football clubs. Therefore, research hypothesis H8 is valid.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s4-3">
<title>4.3 The impact of involvement on CSR and FCIs</title>
<sec id="s4-3-1">
<title>4.3.1 Clustering of high and low involvement groups</title>
<p>In this paper, we measure fans&#x2019; degree of involvement based on three factors: the length of time they watch Chinese Super League soccer matches on-site, the frequency with which they watch matches, and the type of tickets purchased. We then categorize the 1,327 samples using the K-Means Cluster method in cluster analysis. Specifically, we classify the sample into two clusters, and results are presented in <xref ref-type="table" rid="T5">Tables 5</xref>, <xref ref-type="table" rid="T6">6</xref>.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Initial and final clustering centers for fan involvement.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Involvement measurement indicators</th>
<th colspan="2" align="left">Initial clustering center</th>
<th colspan="2" align="left">Final clustering center</th>
</tr>
<tr>
<th align="left">1</th>
<th align="left">2</th>
<th align="left">1</th>
<th align="left">2</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Years of Spectating</td>
<td align="left">3</td>
<td align="left">1</td>
<td align="left">2.64</td>
<td align="left">1.44</td>
</tr>
<tr>
<td align="left">Frequency of Spectating</td>
<td align="left">3</td>
<td align="left">1</td>
<td align="left">2.12</td>
<td align="left">1.61</td>
</tr>
<tr>
<td align="left">Ticket type</td>
<td align="left">1</td>
<td align="left">2</td>
<td align="left">1.46</td>
<td align="left">1.34</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Clustering of high and low involvement groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Number of clusters</th>
<th align="center">Percentage (%)</th>
<th align="center">Categories</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">753</td>
<td align="center">56.7</td>
<td align="center">High Involvement Group</td>
</tr>
<tr>
<td align="center">574</td>
<td align="center">43.3</td>
<td align="center">Low Involvement Group</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As shown in <xref ref-type="table" rid="T5">Table 5</xref>, the final cluster centers form two groups. The first cluster has mean scores of 2.64, 2.12, and 1.46, while the second class has measurements of 1.44, 1.61, and 1.34. These measurements indicate that the first class represents the high-involvement group, whereas the second class represents a low-involvement group. There are 753 samples in the high-involvement group and 574 samples in the low-involvement group.</p>
</sec>
<sec id="s4-3-2">
<title>4.3.2 A test of the effect of involvement on the mediation model</title>
<p>As shown in <xref ref-type="table" rid="T7">Table 7</xref>, several model fit indices exceed 0.9, meeting the recommended threshold. GFI, AGFI, NFI, and CFI all exceed 0.9; RMSEA is below 0.08. SRMR the recommended cutoff, whereas RMR fails to meet its criterion, the slightly elevated RMR is due to the large sample size. Despite RMR not meeting its requirement, the model fit for both high and low involvement groups is acceptable.</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>SEM model estimation results for high and low involvement groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Model parameter estimation<break/>hypothesis &#x26; path</th>
<th colspan="3" align="center">Low involvement group</th>
<th colspan="3" align="center">Hight involvement group</th>
</tr>
<tr>
<th align="center">Standardized coefficient</th>
<th align="center">t</th>
<th align="center">Supported</th>
<th align="center">Standardized coefficient</th>
<th align="center">t</th>
<th align="center">Supported</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">CSR&#x2192;FCIs</td>
<td align="center">0.003</td>
<td align="center">0.066</td>
<td align="center">No</td>
<td align="center">0.038</td>
<td align="center">0.858</td>
<td align="center">No</td>
</tr>
<tr>
<td align="center">CSR&#x2192;FI</td>
<td align="center">&#x2212;0.076</td>
<td align="center">&#x2212;1.440</td>
<td align="center">No</td>
<td align="center">0.483&#x2a;&#x2a;&#x2a;</td>
<td align="center">8.708</td>
<td align="center">Yes</td>
</tr>
<tr>
<td align="center">CSR&#x2192;MA</td>
<td align="center">0.397&#x2a;&#x2a;&#x2a;</td>
<td align="center">7.196</td>
<td align="center">Yes</td>
<td align="center">0.066</td>
<td align="center">1.571</td>
<td align="center">No</td>
</tr>
<tr>
<td align="center">FI&#x2192;FCIs</td>
<td align="center">0.418&#x2a;&#x2a;&#x2a;</td>
<td align="center">7.150</td>
<td align="center">Yes</td>
<td align="center">0.456&#x2a;&#x2a;&#x2a;</td>
<td align="center">8.500</td>
<td align="center">Yes</td>
</tr>
<tr>
<td align="center">MA&#x2192;FCIs</td>
<td align="center">0.340&#x2a;&#x2a;&#x2a;</td>
<td align="center">5.992</td>
<td align="center">Yes</td>
<td align="center">0.329&#x2a;&#x2a;&#x2a;</td>
<td align="center">7.847</td>
<td align="center">Yes</td>
</tr>
<tr>
<td align="center">MA&#x2192;FI</td>
<td align="center">0.335&#x2a;&#x2a;&#x2a;</td>
<td align="center">6.123</td>
<td align="center">Yes</td>
<td align="center">0.261&#x2a;&#x2a;&#x2a;</td>
<td align="center">6.620</td>
<td align="center">Yes</td>
</tr>
<tr>
<td colspan="7" align="left">Absolute fit indices</td>
</tr>
<tr>
<td align="center">1&#x3c;&#x3c7;<sup>2</sup>/df &#x3c; 3</td>
<td colspan="3" align="center">797.336/726 &#x3d; 1.098</td>
<td colspan="3" align="center">820.908/726 &#x3d; 1.131</td>
</tr>
<tr>
<td align="center">RMR&#x3c;0.05</td>
<td colspan="3" align="center">0.128</td>
<td colspan="3" align="center">0.119</td>
</tr>
<tr>
<td align="center">SRMR&#x3c;0.05</td>
<td colspan="3" align="center">0.032</td>
<td colspan="3" align="center">0.029</td>
</tr>
<tr>
<td align="center">GFI&#x3e;0.9</td>
<td colspan="3" align="center">0.936</td>
<td colspan="3" align="center">0.948</td>
</tr>
<tr>
<td align="center">AGFI&#x3e;0.9</td>
<td colspan="3" align="center">0.928</td>
<td colspan="3" align="center">0.941</td>
</tr>
<tr>
<td align="center">RMSEA&#x3c;0.08</td>
<td colspan="3" align="center">0.013</td>
<td colspan="3" align="center">0.013</td>
</tr>
<tr>
<td colspan="7" align="left">Incremental fit indices</td>
</tr>
<tr>
<td align="center">NFI&#x3e;0.9</td>
<td colspan="3" align="center">0.927</td>
<td colspan="3" align="center">0.944</td>
</tr>
<tr>
<td align="center">CFI&#x3e;0.9</td>
<td colspan="3" align="center">0.993</td>
<td colspan="3" align="center">0.993</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As shown in <xref ref-type="table" rid="T7">Table 7</xref> and <xref ref-type="fig" rid="F3">Figure 3A</xref>, the low involvement group demonstrates a significant impact of perceived CSR on MA, with a path coefficient of 0.397 (t &#x3d; 7.196 &#x3e; 2.58). However, perceived CSR does not significantly influence FI, as indicated by the path coefficient of &#x2212;0.076 (t &#x3d; &#x2212;1.440 &#x3c; 2.58). This suggests that in the low involvement fan sample, fans are primarily influenced by the MA of CSR concerning consumption behavior.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Low involvement and high involvement. <bold>(A)</bold> Low involvement group: only CSR &#x2192; MA and MA &#x2192; FCIs paths are significant. <bold>(B)</bold> High involvement group: only CSR &#x2192; FI and FI &#x2192; FCIs paths are significant. Solid arrows denote significant effects; dashed arrows denote non-significant effects. Standardized coefficients are shown.</p>
</caption>
<graphic xlink:href="fphys-16-1651356-g003.tif">
<alt-text content-type="machine-generated">Diagram comparing low and high involvement scenarios. Both contain four ovals labeled CSR, FI, FCIs, and MA, connected by arrows. Solid arrows indicate presence of impact effects; dashed arrows show absence. Numerical values on arrows represent the strength of relationships. Panel A shows low involvement impacts, while Panel B shows high involvement impacts with different strengths.</alt-text>
</graphic>
</fig>
<p>Combined with <xref ref-type="table" rid="T7">Table 7</xref> and <xref ref-type="fig" rid="F3">Figure 3B</xref>, the high involvement group shows a significant influence of perceived CSR on FI, with a path coefficient of 0.483 (t &#x3d; 8.708 &#x3e; 2.58). Conversely, perceived CSR does not significantly impact MA, as evidenced by the path coefficient of 0.006 (t &#x3d; 1.571 &#x3c; 2.58). This indicates that in the high involvement group, fans are influenced by perceived CSR and FCIs through the mediating role of FI. Therefore, the research hypotheses H<sub>9</sub>-H<sub>10</sub> are supported.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>5 Discussion</title>
<p>This study develops a theoretical model incorporating professional football clubs&#x2019; CSR, FI, MA, and willingness to consume behavior. Data were collected through questionnaire distribution and were validated using various mathematical and statistical methods. The main empirical research conclusions are as follows:</p>
<p>First, perceptions of CSR directly and significantly influence FCIs, consistent with findings from prior research (<xref ref-type="bibr" rid="B38">Walker and Kent, 2009</xref>; <xref ref-type="bibr" rid="B23">Lacey et al., 2015</xref>). This suggests that Chinese Super League fans are inclined to support and acknowledge the club&#x2019;s CSR actions through their consumption behavior.</p>
<p>Second, the role of CSR in shaping fan&#x2019;s consumption responses involves not only direct judgment but also an internalized cognitive process mediated by FI and MA. Statistical analyses reveal that FI and MA exert significant mediating effects. Specifically, when these variables are accounted for, the direct effect of CSR on FCIs becomes non-significant, indicating that FI and MA fully mediate the relationship between perceived CSR and consumption behavior.</p>
<p>Third, MA significantly influences FI, with altruistic motives correlating positively with identification levels toward professional football clubs. This underscores MA as a critical determinant of fans&#x2019; alignment with clubs&#x2019; CSR initiatives.</p>
<p>Fourth, FI exerts a stronger influence on FCIs than MA, highlighting that the effect of clubs&#x2019; CSR initiatives on consumption behavior is primarily driven by identification. This phenomenon may stem from two factors. First, cluster analysis revealed that a majority of survey respondents (753 individuals) exhibited high involvement as devoted fans, compared to the 574 individuals with low involvement. Prior research indicates that higher fan involvement correlates with stronger identification (<xref ref-type="bibr" rid="B34">Tsiotsou and Alexandris, 2009</xref>; <xref ref-type="bibr" rid="B47">Shawn and Philip, 2012</xref>), which in turn amplifies consumption intentions (<xref ref-type="bibr" rid="B41">Wann et al., 2001</xref>). Second, the artificial experimental setting of the survey may have encouraged respondents to temporarily endorse CSR initiatives to project an ethical consumer image, rather than reflecting genuine behavioral commitment.</p>
<p>Last, the level of FI moderates the relationship between CSR initiatives and FCIs. For highly involved fans, this relationship is mediated predominantly by FI. Conversely, for fans with low involvement, the effect is driven primarily by MA.</p>
<sec id="s5-1">
<title>5.1 Theoretical implications</title>
<p>Building on extant CSR literature, this study investigates the mediating mechanisms through which fans&#x2019; perceptions of CSR influence FCIs, integrating organizational identity theory and MA theory. The research contributes to the field in two key ways:<list list-type="simple">
<list-item>
<p>1. While prior studies on fan consumption responses to CSR in professional sports have focused on European and North American contexts, research in the Chinese context remains limited. Grounded in the Chinese Super League framework, this paper examines how CSR perceptions among fans of Chinese clubs shape consumption intentions, thereby expanding theoretical understanding of CSR in professional sports within the evolving Chinese sports industry.</p>
</list-item>
<list-item>
<p>2. Existing studies on fan consumption responses to clubs&#x2019; CSR often treat fans as a homogeneous group, neglecting psychological distinctions between highly involved &#x201c;devoted fans&#x201d; and less involved &#x201c;casual fans.&#x201d; This study addresses this gap by integrating CSR literature with attribution theory, introducing MA as a novel variable in professional sports CSR research. Furthermore, it examines the moderating role of fan involvement to analyze differential consumption mechanisms between devoted and casual fans in a localized context, thereby advancing theoretical frameworks for CSR in professional sports.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s5-2">
<title>5.2 Practical implications</title>
<p>The findings of this study offer practical implications for Chinese professional football clubs&#x2019; in implementing CSR. Specifically, they address two critical questions: the necessity of CSR initiatives and strategies for their effective implementation. These insights are summarized in two key recommendations:</p>
<p>First, clubs must strategically integrate CSR as drivers of value creation. Empirical evidence demonstrates that CSR initiatives significantly enhance FCIs. Consequently, club managers should reconceptualize CSR beyond cost-centric or philanthropic frameworks, aligning it with organizational strategies to foster long-term sustainability. This requires embedding CSR into core decision-making processes, transcending traditional financial metrics, and cultivating strategic CSR practices that establish a competitive advantage in the sustainable development of clubs. For example, since 2015 Shanghai Port Football Club has establishing youth-training bases in primary and secondary schools nationwide. Through its &#x201c;Football Enters the Campus&#x201d; initiative, the club provides free coaching resources and competition platforms to every partner school, simultaneously fulfilling its social responsibility&#x2014;addressing the shortage of football resources in remote western rural schools&#x2014;while tapping into the large pool of campus players to identify and develop promising talents.</p>
<p>Second, clubs must prioritize strategic CSR implementation to prevent perceptions of self-serving motives. While undertaking CSR initiatives to foster fan identification, clubs should avoid overt commercialization that could lead fans to perceive these efforts as performative or profit-driven. Instead, clubs should authentically engage with stakeholders and the community by selecting CSR initiatives aligned with altruistic purposes, thereby strengthening FI and FCIs. Notably, low-involvement fans are particularly sensitive to CSR motive attribution; thus, clubs must exercise caution in both the selection and execution of CSR projects to maintain credibility.</p>
</sec>
<sec id="s5-3">
<title>5.3 Limitation and future research</title>
<p>The fulfillment of CSR by clubs generates multifaceted value for organizational stakeholders. While this study focuses on CSR&#x2019;s impact on FCIs, future research could extend this inquiry by examining value creation through other stakeholder lenses. For instance, Employees (e.g., players, coaches, staff): Investigating how CSR initiatives influence employee performance, job satisfaction, and organizational loyalty. Local communities: Analyzing the relationship between CSR efforts and residents&#x2019; purchasing behavior or community engagement. Clubs themselves: Exploring CSR&#x2019;s role in building social capital, enhancing brand equity, or fostering long-term competitive advantages. Such interdisciplinary investigations would provide a holistic understanding of CSR&#x2019;s strategic potential in professional sports. Moreover, this study operationalized fan involvement solely through behavioral indicators (ticket type, frequency, and duration). While these metrics are objective and readily accessible, they fail to capture attitudinal dimensions such as emotional attachment and cognitive interest&#x2014;core components of fan involvement. Future research should employ multi-item scales (e.g., the revised Personal Involvement Inventory or the Sport Involvement Scale) to assess affective and cognitive involvement and to cross-validate our findings. Furthermore, the present study does not address how specific types of CSR&#x2014;namely strategic CSR and instrumental CSR&#x2014;shape fans&#x2019; consumption responses. Future research could disaggregate these CSR categories to examine their distinct impacts on fans&#x2019; willingness to spend.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>CZ: Conceptualization, Formal Analysis, Funding acquisition, Investigation, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review and editing. KS: Supervision, Validation, Writing &#x2013; review and editing. LC: Data curation, Software, Supervision, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. CZ thanks the financial support of study on &#x201c;Shanghai University of Engineering Science 2024 University-Level Teaching Development Project (Ideological and Political Education through Courses Project): Fitness and Bodybuilding (Men)&#x201d; (c202423001), LC thank the financial support of research on &#x201c;The integrated development of culture, sports, tourism, commerce, and exhibitions in Shanghai should be promoted under the urban operation concept&#x201d; (TYJCZX202401).</p>
</sec>
<ack>
<p>The authors gratefully recognize the contributions of CZ, KS, LC, who were involved in data collection.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<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 sec-type="ai-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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>
<sec id="s13">
<title>Abbreviations</title>
<p>CSR, corporate social responsibility; FCIs, fans&#x2019; consumption intentions; FI, fan identification; MA, motivational attribution.</p>
</sec>
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