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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">ArabJAdmin</journal-id>
      <journal-title-group>
        <journal-title>Arab Journal of Administration</journal-title>
      </journal-title-group>
      <issn pub-type="ppub">1110-5453</issn>
      <publisher>
        <publisher-name>Arab Administrative Development Organization</publisher-name>
      </publisher>
    </journal-meta>

    <article-meta>
      <article-id pub-id-type="publisher-id">15_1897_1110-5453_v45_i06_p255</article-id>
      <article-id pub-id-type="doi">10.21608/aja.2025.404536.1897</article-id>

      <title-group>
        <article-title>Brand Involvement as a Mediating Variable Between Sports Sponsorship and the Behavior of the Jordanian Audience: A Psychological–Communication Analysis</article-title>
        <trans-title-group xml:lang="en">
          <trans-title>The Brand Involvement as a Mediator Between Sports Sponsorship and Jordanian Audience Behavior: Psychological - Communication Analysis</trans-title>
        </trans-title-group>
      </title-group>

      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>السهلي</surname>
            <given-names>سعود عبد الله</given-names>
          </name>
          <xref ref-type="fn" rid="fn1"/>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>النسور</surname>
            <given-names>إياد عبد الفتاح</given-names>
          </name>
          <xref ref-type="fn" rid="fn2"/>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>

      <aff id="aff1">
        <institution xml:lang="en">Imam Mohammad Ibn Saud Islamic University</institution>
        <institution content-type="orgdiv" xml:lang="en">College of Media and Communication</institution>
        <addr-line>
          <city xml:lang="en">Riyadh</city>
          <country country="SA" xml:lang="en">Kingdom of Saudi Arabia</country>
        </addr-line>
      </aff>

      <pub-date pub-type="epub">
        <year>2025</year>
        <month>09</month>
      </pub-date>
      <pub-date pub-type="ppub">
        <year>2025</year>
        <month>12</month>
      </pub-date>

      <volume>45</volume>
      <issue>6</issue>
      <fpage>255</fpage>
      <lpage>286</lpage>

      <history>
        <date date-type="received">
          <year>2025</year>
          <month>08</month>
        </date>
        <date date-type="accepted">
          <year>2025</year>
          <month>09</month>
        </date>
        <date date-type="rev-recd">
          <year>2025</year>
          <month>09</month>
        </date>
      </history>

      <permissions>
        <license license-type="publisher-specific">
          <license-p xml:lang="en">Publishing rights reserved to the Arab Journal of Administration.</license-p>
        </license>
      </permissions>

      <abstract xml:lang="en">
        <title>Abstract</title>
        <p>The study aimed to investigate the effect of sports sponsorship on the behavior of the Jordanian sports audience, and to measure the effect of the mediating variable on the causal relationship between sports sponsorship and audience behavior. In addition, it sought to estimate statistical differences in the level of perception of sports sponsorship according to differences in age, gender, education, and favorite club. The study used the quantitative approach as it is descriptive in nature. The study population consisted of all attendees of the Jordanian Professional League, totaling 150,000 spectators for the 2024–2025 season. A purposive (judgmental) sampling method was used, and its size reached 385 respondents; the questionnaire was the data collection tool. The study reached several important results, most notably: a high statistical effect of sports sponsorship on the behavior of the Jordanian audience toward sponsor brands, and all sub-hypotheses were proven regarding the impact of sports sponsorship on interaction, image, intention, and loyalty to the sponsor brand. A high effect of brand involvement on sports audience behavior was also found. The study found that the mediating variable is statistically insignificant in the causal relationship between sports sponsorship and sports audience behavior. Moreover, it was shown that age, education, gender, and favorite team do not affect the level of perception of sports sponsorship from the point of view of the Jordanian sports audience. In the end, the study presented a number of conclusions that contribute to improving sports sponsorship activities in Jordan.</p>
        <kwd-group>
          <title>Keywords</title>
          <kwd>Sports sponsorship</kwd>
          <kwd>Consumer behavior</kwd>
          <kwd>Involvement</kwd>
          <kwd>Sponsor brand</kwd>
          <kwd>Jordan</kwd>
        </kwd-group>
      </abstract>

      <abstract xml:lang="en">
        <title>ABSTRACT</title>
        <p>The study aimed to investigate the effect of sports sponsorship on the behavior of the Jordanian sports audience and the impact of the mediator in the causal relationship between sports sponsorship and audience behavior. In addition to estimate differences in the perception of sports sponsorship according to demographics. The study was quantitative and analytical descriptive. The population consists of all Jordanian Professional League attendees, reaching 150,000 people for the 2024-2025 season. The purposive sampling method was used, and the sample size reached 385 people. The questionnaire is a tool for data collection. The study concludes a high statistical effect of sports sponsorship on the behavior of the Jordanian audience towards sponsor brands, and all sub-hypotheses regarding the impact of sports sponsorship on interaction, image, intention, and loyalty were proven. The study found that the mediator is statistically insignificant in the causal relationship between sports sponsorship and sports audience behavior. Moreover, it was found that age, education, gender, and favorite team have no effect on the level of perception of sports sponsorship from the point of view of the Jordanian sports audience. Finally, the study presented several recommendations and implications for enhancing sports sponsorship activities in Jordan.</p>
        <kwd-group>
          <title>Keywords</title>
          <kwd>Sports Sponsorship</kwd>
          <kwd>Audience Behavior</kwd>
          <kwd>Involvement</kwd>
          <kwd>Sponsor Brand</kwd>
          <kwd>Jordan</kwd>
        </kwd-group>
      </abstract>

    </article-meta>
  </front>

  <body>

    <sec sec-type="introduction">
      <title>1. Introduction</title>
      <p>The modern concept of sponsorship is viewed as a multifunctional approach within the company’s communication strategy, focusing on the commercial relationship between an entity (which may be a company) that provides money, services, and resources, and the individual, event, or sponsored organization on the other hand (Al-Nsour, 2022), under which certain rights are granted and used to achieve the commercial benefits of the sponsoring company (Al-Nsour, 2020). Sponsorship is a practice to promote the company’s interests and its brand by linking it to an event, organization, or specific charitable work with widespread reach and significance to the local community (Khaldi, 2016). Sponsorship has also begun to focus on the benefits or functions that are distinctive and rare in society, considering it an indirect communication tool (Tsordia et al., 2018) capable of reaching multiple market segments of the audience (Rahailia &amp; Qara, 2022), in addition to its ability to achieve institutional objectives that involve many strategic benefits (Hammad, 2021). Sponsorship is defined as a form of brand promotion linked to sports, entertainment, culture, and community activities (Tsordia et al., 2018).</p>
      <p>Sponsorship has become one of the modern, effective tools in marketing communication that influences brand audiences, and sponsoring institutions rely on the indirect nature when marketing the events and occasions they sponsor (Al-Ghamdi &amp; Balilah, 2025). This tool has great influence on purchasing behavior, which is often driven by emotion; sponsorship attracts large numbers of the target audience while introducing the sponsor brand and its products (Biscaia et al., 2017). Creating awareness of the sponsor brand is the first step in successful sponsorship programs, paving the way for deeper engagement and converting consumers toward the brand (Bergkvist &amp; Skeiseid, 2024). This involves achieving a set of strategic goals such as enhancing brand image, improving consumers’ purchase intentions (Zhang, 2023), and influencing subsequent emotional and behavioral consumer responses (Madushani &amp; Gunawardane, 2020).</p>
      <p>In parallel, sport is one of the main activities that has benefited from sponsorship contracts, becoming a key driver of its development and spread worldwide. This has made it receive abundant spending from businesses, especially those seeking to promote their brands to fans (Biscaia et al., 2017). Information indicates that global spending on sponsorship contracts reached $114.4 billion in 2024, with sports sponsorship accounting for between 50%–70% of the total worldwide (Statista, 2024). Practically, sponsorship contracts have taken a wide share of corporate activities, with spending on sports sponsorship rising to $97.4 billion in 2022 and potentially reaching $189.5 billion in 2023 (Statista, 2024). Sports sponsorship contracts increased sponsor brand value by 81%, raised ROI by 24%, contributed to sponsor brand reach by 12%, and were a key source of income for sports organizations exceeding $100 billion in 2023, concentrated in Europe at $20.69 billion and surpassing $10 billion in North America (www.doublethedonation.com, 2024).</p>
      <p>Regarding sports sponsorship revenues in the Arab region: the Saudi sports sponsorship market ranked first with $1.3 billion for 2025, Qatar with $144 million, Egypt $56.3 million, the UAE $69.5 million, and Jordan $7.7 million for 2025 (www.globenewswire.com, 2025).</p>
      <p>Studies have agreed that sports sponsorship contracts have an effective role in building brand equity, enhancing awareness, loyalty, and brand image, alongside direct commercial benefits (Al-Nsour, 2022). Studies have also expanded in linking sports sponsorship programs to boosting awareness of all attributes, benefits, and price and distribution information related to the brand (Tomalieh, 2016). Sports sponsorship activities were most capable of transferring the sponsor brand image, making it easier for consumers to buy (Akwensivie et al., 2014).</p>
      <p>Within this framework, the current study recognizes the importance of sports sponsorship in transferring a positive image of the sponsored brand to the sports audience. It finds that such sponsorship influences brand value in football fans’ minds. It is useful to say that football audiences have different behavior from other customers in terms of loyalty and psychological attachment to their favorite team, which imposes unique positive attitudes and behaviors toward the team that may later create commercial interests for the sponsoring company. From this perspective, the current study sought to measure the effectiveness of sports sponsorship according to several marketing and communication indicators among the Jordanian sports audience. This study coincides with the remarkable development in football activity in Jordan and its achievement of several positive indicators in recent years at the Asian level and its qualification for the 2026 World Cup. Therefore, the study’s results may open up opportunities for Jordanian companies to further support local clubs, benefit from their fan bases, and maximize the advantages of linking tourism and sports promotion as well.</p>
    </sec>

    <sec>
      <title>2. Theoretical Framework and Literature Review</title>

      <sec>
        <title>2.1 The Evolution of Sports Sponsorship</title>
        <p>The real beginnings of the concept of sponsorship date back to the period between the 1970s and 1980s, when companies began to adopt ideas supporting philanthropy and attempted to link them to commercial or profit dimensions (Ryan &amp; Fahy, 2012). Due to the lack of clarity of the concept of sponsorship at that time, many sponsoring companies classified it as consumer expenditure, away from considerations of benefits or returns (Cornwell et al., 2005). The early 1990s are seen by many writers as the period of conceptual maturity for sponsorship, with qualitative and quantitative growth in studies testing it, defining it as an activity bounded by time and place, involving many rights, advantages, and obligations (Masloub, 2018). In the modern era, sponsorship has focused heavily on the relationship between the sponsorship program (event) and the consumer, moving beyond the nature of the sponsoring organization’s work (Xiao et al., 2024).</p>
        <p>Over the past two decades, sponsorship has witnessed rapid growth as a tool for communication and reaching customers. Until 1970, sponsorship revolved mainly around donations and grants given to sports or cultural activities without any expectation of receiving anything in return (Gordon &amp; Cheah, 2014). In 1980, sponsorship underwent fundamental shifts in objectives and expectations, replacing charitable sponsorship that depended on the institution’s status and market position (Kesenne, 2005). Thereafter, sponsorship developed markedly from a small-scale activity into an institutional industry worldwide based on the volume of money spent (Walliser, 2003). Sponsorship became a communication method involving allocating large sums directed to community activities outside the organization’s core functions, surpassing most other promotional tools in a short time. It became a more professional approach requiring complex organizational processes and institutional planning activities involving multiple parties such as buyers, recipients, and sellers (Demir &amp; Söderman, 2015).</p>
        <p>Overall, studies still differ in setting a definitive definition of sponsorship. Definitions vary based on the sponsor, the activity sponsored, the type of link between the parties, and the marketing and communication goals sought (Walliser, 2003). Promotional perspectives also differed in classifying co-sponsorship activities between the organization and the local community, such as cash prizes bearing the company’s name (Alonso-Dos-Santos et al., 2024). In reality, sponsorship represents the commercial relationship between an entity (company) providing money, services, or resources and an individual, event, or organization, creating contractual rights and links that entail commercial benefits (Sleight, 1989). In 1990, Brooks explained that under sports sponsorship, sports rights are purchased by sponsors (including cash, product, or service) and then the logo and sports activities are linked with the company’s image in the target market, turning them into a competitive advantage. McCarville &amp; Copeland (1994) added that sports sponsorship is an exchange process between companies and sports organizations: the company provides paid resources (money, equipment, facilities, etc.) and free resources (staff, technology, service, ideas, etc.) in exchange for opportunities linked to sports events and activities. Erdogan &amp; Kitchen (1998) added that sponsorship is a practice seeking to promote the company and its brand by linking it to a specific event, organization, or charitable work (Madushani &amp; Gunawardane, 2020).</p>
        <p>Sports sponsorship is a way to improve companies’ image and reputation and gain more marketing opportunities (Biscaia et al., 2013), exchanging interests between sponsoring companies that provide funds and products, communicate with customers, and improve their image and sales performance (Madushani &amp; Gunawardane, 2020). Sports sponsorship is the cash or in-kind amount paid for a tangible asset (sports, events, stadiums, public sports activities, etc.) to achieve the project’s goals (Hammad, 2021). Sports sponsorship is classified as a business activity linked to sport as the subject, structure, and content of support. It is part of an exchange of interests between the sponsor and the sponsored event, aiming to achieve benefits, purposes, or commercial or social goals with future financial returns (Nufer &amp; Bühler, 2010).</p>
        <p>Sports sponsorship is an effective tool that enhances the company’s community contribution and portrays it as a good corporate citizen. In markets, it stimulates awareness and perception, driving consumers to purchase its products (Fullerton, 2007). In 2017, the independent evaluation group IEG defined sponsorship as cash or in-kind fees from the sponsor’s assets, usually used in sports, art, and entertainment, in exchange for leveraging the commercial potential in those activities. The common basis between them is the exchange of fees and rights between sponsor and beneficiary to achieve several commercial goals. Ultimately, sports sponsorship is the product of a stage where sport and commercial activities developed significantly. Despite researchers’ differences in definition, they agree that the essence of sponsorship is a commercial agreement between the sponsor and sports entities (Alhadad, 2018).</p>
        <p>Finally, in 2024, the authors of the current study presented a comprehensive definition of sports sponsorship: cash, in-kind, or logistical payments provided by the sponsoring company to a team or sports event in the country, directed to activities and events outside its core economic function. Through this functional reciprocal relationship, several commercial benefits for the sponsor can be achieved in exchange for providing any payments to the sponsored party.</p>
        <p>Ultimately, sports sponsorship contracts reached $114.4 billion worldwide in 2024 (Statista, 2024), making sports sponsorship one of the fastest-growing marketing communication tools compared to traditional tools, as it provides broad visible media coverage, attracts a wide segment of society, serves specific fields, and can overcome cultural barriers between people (Almaiman et al., 2021). We add that sports sponsorship represents 80% of total commercial sponsorship contracts worldwide, and 87% of sports sponsorship contracts went to football, valued at $40 billion in 2023 (Statista, 2024). Europe ranked highest globally in sports sponsorship contracts at 62%. Sports sponsorship takes various forms, including team uniforms and accessories, sports facilities, training centers, equipment, and gyms (Groot &amp; Ferwerda, 2015). It was found that 35% of European football clubs’ revenues in 2023 are attributed to sports sponsorship. Competition for global sponsorship contracts was limited to five global companies in order: Adidas, Coca-Cola, Nike, Puma, and Emirates (teampages.com, 2024). The highest football sponsorship deals were between Manchester United and Chevrolet at $64 million annually, totaling $559 million over 9 years (astuteanalytica.com, 2024). Arsenal signed a 5-year sponsorship worth $63.9 million. The English Premier League achieved the highest sponsorship revenues of €1.2 billion through 440 deals, followed by the German and Spanish leagues with about €734 and €678 million in 2018 (Sportskeeda.com). Sports sponsorship revenues for the 2022 World Cup reached $1.7 billion.</p>
      </sec>

      <sec>
        <title>2.2 Measuring the Impact of Sports Sponsorship</title>
        <p>The sports audience is a distinct market with characteristics that set it apart from other consumer markets (Bühler &amp; Nufer, 2010). The concept of psychological attachment and empathy imposes on the sports consumer many positive attitudes and behaviors toward the favorite team (Groot &amp; Ferwerda, 2015), as measurement theory relies on the cognitive aspect controlling sports audience behavior toward the favorite team (Shank &amp; Beasley, 1998). The literature views the emotional aspect as an important element because it relies on feelings and is considered the most influential on the sports audience, making them more enthusiastic, impulsive, and passionate toward the sponsor brand (Dolphin, 2003).</p>
        <p>While the ordinary consumer is concerned with the tangible elements of the product to be purchased or when preferring a specific brand such as price and quality (Bühler &amp; Nufer, 2011), sports clubs used different factors in designing marketing communication strategies with fans, relying on meeting their psychological needs, satisfying their emotions, and employing their feelings to enhance loyalty (Weissman, 2014). Thus, they worked at a deeper level of relationship with the audience, imposing commitment and engaging in activities that distinguish them from other fans, such as wearing team apparel and purchasing products bearing its logo and brand (Meir &amp; Scott, 2007).</p>
        <p>Sponsoring companies have leveraged fans’ emotions and empathy with their favorite sports teams, employing these issues to serve short-term sales goals, with Chadwick &amp; Thwaites (2005) adding several long-term benefits. These studies linked sports sponsorship to sponsor image, improved purchase intentions, and brand publicity (Jensen &amp; White, 2018), alongside its impact on brand equity (Xiao et al., 2024). The above shows that sports sponsorship effectively enhances awareness components, deepens loyalty, and boosts short-term sales benefits (Pickton &amp; Broderick, 2005).</p>

        <sec>
          <title>2.2.1 Awareness (Perception) of Sports Sponsorship</title>
          <p>Awareness is defined as the individual’s ability to recognize, recall, or identify the brand in different situations; it is also a measure of the brand’s salience in the consumer’s mind and its remaining top-of-mind during the purchase decision process (Konstantoulaki et al., 2021). In marketing communication, brand awareness is the first step to campaign success, paving the way for deeper consumer engagement and conversion toward the brand (Bergkvist &amp; Skeiseid, 2024). Awareness is seen as a primary goal in marketing products and creating a brand image in the recipient’s mind (Grohs et al., 2024).</p>
          <p>In sports sponsorship, sponsor brands strategically enter agreements to enhance awareness of both the sponsor brand and the sponsored entity in the target market (Alessandro et al., 2019). Achieving this awareness is crucial for the sponsor because it helps achieve other strategic objectives such as enhancing brand image and improving consumers’ purchase intentions (Zhang, 2023). Failure to create positive awareness of sports sponsorship activities would hinder the achievement of broader goals and link them to sponsor performance, especially when evaluating sponsorship ROI (Meenaghan &amp; O’Sullivan, 2013). Awareness in sports sponsorship also plays a role in assessing sponsorship efficiency and its impact on consumers’ emotional and behavioral responses (Madushani &amp; Gunawardane, 2020).</p>
          <p>The core goal of increasing sponsor brand equity rests on five basic elements that start with cognitive responses (behavior, purchase, commitment) and indicate the cognitive process of awareness and brand image (Alhadad, 2018). Sports sponsorship research has shown that sponsorship awareness is a behavior preceding the emotional response, and congruence between knowledge and emotion transfers positive feelings from the favorite team to the team’s sponsor (Hunt &amp; Hunt, 2022). Consumers with an individualistic orientation tend to respond more positively to promotional offers emphasizing self-benefit, whereas collectivist consumers are influenced by participation and collective promotion of benefit (Zong, 2023). In collectivist cultures similar to Jordan’s, emphasis is on group harmony and interdependence; thus, the impact of awareness of sports sponsorship is more evident, as sports audiences in such societies experience strong transfer of positive feelings and focus on group loyalty and relational interdependence (Shi et al., 2024). This congruence enhances fans’ attitudes toward the sponsor brand of their favored sports entity (Biscaia et al., 2013).</p>
          <p>Studies have shown a significant contribution of sports sponsorship to awareness and sponsor brand image. Research in developed countries, especially the US and Europe, indicated the important role of sports sponsorship in building brand awareness in South Africa (Sarpong &amp; Zungu, 2025). To measure sponsorship effectiveness, several factors were combined, such as supporters’ beliefs about sponsorship, their satisfaction with the sports event, and their level of sports participation. It was found that sponsorship awareness affects respondents’ intention and actual purchase behavior (Koronios et al., 2020). Other studies measured the efficiency of sports sponsorship determinants like positive belief, team association, and participation, finding a significant impact on awareness and audience attitude toward the sponsor brand (Koronios et al., 2019). In 2017, sports sponsorship was found to impact brand equity and enhance awareness (Shoaib et al., 2017). Finally, Alsahli and Al-Nsour’s study found a strong positive relationship between awareness of sports sponsorship and sponsor brand image in the Saudi Roshn League (Al-Nsour &amp; Alsahli, 2027, in press).</p>
        </sec>

        <sec>
          <title>2.2.2 The Relationship Between Sports Sponsorship and Interaction with the Sponsor Brand</title>
          <p>Audience interaction describes cognitive and emotional commitment and an active relationship with the sponsor brand (Singh &amp; Bhatia, 2013), enabling communication with the audience via social platforms (Kujur &amp; Singh, 2017). Interaction allows providing reviews on brand pages and engaging in practices that offer information or cues about various brand aspects (Wu et al., 2025). The volume of posts about a brand indirectly affects audience comments and increases likes and engagement with the sponsor brand (Dhaoui &amp; Webster, 2021). Interaction is key to positivity and reducing negative reactions and comments about the brand (Zarei Mahmoudabadi et al., 2019); publishing images, texts, videos, and positive comments are indicators of brand interaction (Chou et al., 2024).</p>
          <p>Studies confirm that interaction is a psychological process that stimulates loyalty and repeat purchase (Kulkarni, 2022). In sports, sponsorship is vital in building audience interactions with the sponsor brand, often determining the value and duration of the sponsorship deal. It also increases audience awareness of certain sports activities and drives them to participate and belong to them (Meenaghan &amp; O’Sullivan, 2013). Ultimately, interaction with sports sponsorship events reflects individual needs, risk, benefit, and enjoyment (Laurent &amp; Kapferer, 1985), generating gratitude in the recipient’s mind toward the sponsored event. Sports sponsorship for Rosenborg Ballklub (RBK) increased audience interaction with the brand on social platforms, helping renew sponsorship contracts and attracting more sponsors to local sports clubs (Biscaia et al., 2013). Sponsoring sports events raised interaction levels and played a fundamental role in determining audience responses to sponsorship in terms of positive thoughts and attitudes toward the sponsor brand (Roy et al., 2005; Tsiotsou &amp; Alexandris, 2009).</p>
        </sec>

        <sec>
          <title>2.2.3 The Relationship Between Sports Sponsorship and Sponsor Brand Image</title>
          <p>Brand image is defined as consumers’ perceptions and impressions of the brand (Guliyev, 2023), including their feelings, attitudes, and beliefs (Patoding &amp; Muzammil, 2023). In other words, brand image consists of all elements that shape it: visual identity (logo, colors, packaging), messages (advertising, slogans, storytelling), product quality, customer service, and brand reputation (Chae et al., 2025). Brand image represents a set of attributes, characteristics, benefits, and price, technical, and packaging information (Keller, 1993). Foroudi (2019) notes that a strong brand image is characterized by positive associations such as trustworthiness, reliability, quality, innovation, and differentiation from competitors, all contributing to brand equity (Kegoro &amp; Justus, 2020). Jin (2019) argues that brand image influences consumer behavior, purchase decisions, and brand loyalty.</p>
          <p>To enhance brand image, companies invest in strategies such as product innovation, customer engagement, and CSR programs (Breuer et al., 2021). Chandramohan (2024) concludes that brand image plays a crucial role in shaping consumer perceptions and preferences, thereby influencing their attitudes and behaviors toward the brand and its market success. A positive brand image is critical in sponsorship strategies due to its effect on consumer perceptions and purchase intention (Kunkel &amp; Biscaia, 2020). The relationship between sponsor and event enhances brand perception among fans, spurs purchase intention, and influences evaluation and ranking of sponsoring companies (Huettermann et al., 2020), strengthening friendship and exchange with market stakeholders (Yoo, 2023).</p>
          <p>Studies concur on the impact of sports sponsorship on brand image, enhancing awareness and loyalty alongside short-term sales benefits (Grohs et al., 2015), and improving marketing communication performance (Yoo, 2023). Research cites the impact of sports sponsorship on the 2010 World Cup audience in South Africa, which created awareness and recall of several previously unknown brands (Prasad &amp; Mills, 2010), versus the failure of well-known brands like Emirates (Coelho et al., 2019). Sponsorship messages convey specific information about the sponsor and its products (Ecker et al., 2023). Consumers use sponsorship to build knowledge and value around the brand, leveraging previously seen logos to identify the sponsor and bias toward the brand (Garza &amp; Kennett, 2022). Brand image is a metric for sponsorship success, ensuring higher engagement, brand promotion and diffusion, improved audience relations, enhanced brand equity, and ultimately driving consumers to purchase (Schulz et al., 2024).</p>
        </sec>

        <sec>
          <title>2.2.4 The Relationship Between Sports Sponsorship and Purchase Intention of the Sponsor Brand</title>
          <p>Purchase intention is seen as an individual’s conscious plan to exert more effort toward buying a brand, providing a sense of the strength of adopting a specific purchase behavior in the future (Hermanda et al., 2019). Purchase intention is influenced by individual behaviors and attitudes (Hasena &amp; Sakapunama, 2021) and serves as an indicator of the consumer’s readiness to engage in specific behaviors (Peña-García et al., 2020). Accordingly, intention encourages firms to focus marketing strategies on stimulating demand for their products rather than relying on passive sales techniques (Hermanda et al., 2019).</p>
          <p>Studies affirm the impact of sports sponsorship on consumer purchasing behavior. Customers tend to evaluate brands that support their interests, increasing recognition, engagement, and ultimately sales (Patoding &amp; Muzammil, 2023). Thus, sports sponsorship is an effective marketing strategy influencing purchase decisions, audience perceptions and loyalty to brands, and retaining them as long as possible (Nickell &amp; Johnston, 2020). Sports sponsorship helps build lasting emotional relationships with customers, increasing exposure, connection, and engagement with the brand and improving purchase decisions (Hsiao et al., 2021). Understanding the complex relationship between purchase intention and consumer behavior helps design company communication strategies and better meet consumer needs and preferences, providing innovative solutions to meet those needs compared to competitors (Parvinen et al., 2020). From sponsors’ perspective, purchase intention is a key indicator to measure sponsorship effectiveness and will affect future sales volume (Li et al., 2022). Furthermore, the intention to buy sponsor products is pivotal in sponsor-sport organization relations and future sponsorship negotiations (Koronios et al., 2024). Sponsorship activities influence fans’ purchase intention and word-of-mouth opportunities (Koronios et al., 2023), building commercial ties, showing dedication and empathy for the sponsor, and spontaneously stimulating purchase intentions toward its products (Lee et al., 2024).</p>
        </sec>

        <sec>
          <title>2.2.5 The Relationship Between Sports Sponsorship and Loyalty to the Sponsor Brand</title>
          <p>Loyalty is defined as a deep, enduring feeling the consumer holds toward a particular brand (Wu et al., 2025). Loyalty is a marketing tool to establish long-term relationships with consumers, useful in times of competition, resulting in a strong positive relationship between loyalty and customer retention (Ko &amp; Lee, 2019). Companies strive to create positive associations between consumers and their brand, sharing information and communicating with customers to build awareness, a positive brand image, and boost sales (Bachleda et al., 2016). Accordingly, consumer commitment to a particular brand generates repeat purchase and brand loyalty.</p>
          <p>In sports sponsorship, sponsoring companies seek to maintain strong, ongoing relationships with customers and enhance their level of participation in building brands (Yu &amp; Tan, 2017). Sports sponsorship increases consumer awareness, recall, and recognition of the brand (Seguin et al., 2005). It draws audience attention to brands, raises their interest, provides enjoyable experiences for the consumer, and creates more positive impressions in the consumer’s mind about the brand (Melovic et al., 2019), ultimately leading to positive emotional decisions that increase brand loyalty (Mei et al., 2021). Findings indicated that sports sponsorship enhances company image, purchase intention, and loyalty to the company and its products (Mohammadi et al., 2013). Other research summarized a strong effect of sports sponsorship on customer loyalty toward the sponsor brand, and loyalty affects consumer response, creating behavioral and attitudinal outcomes such as purchase (increased sales), emotion, attitudes, attachment, and brand fairness (Almaiman et al., 2023; Aaker, 1993; Biscaia et al., 2013; Liao, 2023; Hunt &amp; Hunt, 2022; Monterian, 2020).</p>
        </sec>

        <sec>
          <title>2.2.6 The Effect of Involvement in the Sponsor Brand (Moderating Variable)</title>
          <p>Consumer involvement is defined as the perceived importance of the brand (Grohs &amp; Reisinger, 2014). Customer involvement includes all group and individual interactions with the brand, embodying emotional attachment and activities like reading, writing, and conversation (Heinonen, 2018). Brand pages provide many options anytime and anywhere, enabling writing, chatting, and sharing photos and videos related to the brand (Wakefield et al., 2020). Involvement plays a prominent role in enhancing the brand’s sales and communication objectives and strengthening the customer’s psychological side through loyalty and repeat purchase (Maanda et al., 2022). Brand pages paved the way for customer involvement and interactive enjoyment with the audience, achieving many success opportunities for businesses at higher efficiency, and increased involvement helps obtain marketing information that raises marketing decision quality (Al-Nsour et al., 2021). Involvement generates adopting specific attitudes toward the brand, influencing sports sponsorship effectiveness (Grohs &amp; Reisinger, 2014).</p>
          <p>The level of involvement in the sports event is positively linked to attitudes toward the sponsor and the event, enhancing awareness of the sponsor brand (Grohs &amp; Reisinger, 2014) and purchase intention as well (Koo &amp; Lee, 2019). Audiences with higher involvement in the sports event have tendencies, attitudes, and positive reactions toward promotional messages (Alonso-Dos-Santos et al., 2018). Involvement helps improve the purchase experience, enhance social presence, strengthen brand image, and accelerate impulse buying (Sharma, 2020). Sports audience involvement helps predict purchase intentions of sports team products (Alonso Dos Santos et al., 2024). Studies add that sports audience involvement includes behavioral contributions like time, paying money for tickets, attending the sports event, and analyzing sports events, all important to understanding sports spectator behavior (Ibrahim, 2014).</p>
        </sec>

      </sec>

      <sec>
        <title>2.3 Previous Studies</title>
        <p>They can be presented as follows:</p>
        <list list-type="bullet">
          <list-item>
            <p>Alsahli &amp; Al-Nsour (2027): Found a strong positive relationship between awareness of sports sponsorship and the commercial image of sponsors within the Saudi Roshn League. Moreover, demographics did not significantly affect awareness of sports sponsorship. The study recommends continuing traditional sponsorship advantages such as logo boards, shirt sponsorships, and sports facilities.</p>
          </list-item>
          <list-item>
            <p>Almaiman (2024): Examined the effects of sports sponsorship on consumer behavior in Saudi football, focusing on Al Hilal Club and Tania Company sponsorship. Results indicate that team identification and performance significantly enhance sponsorship awareness, positively affecting brand attitudes and purchase intentions. Practical implications include deeper integration with team narratives and leveraging the collective culture of Saudi fans to build emotional bonds. By enhancing meaningful engagements and supporting initiatives aligned with fan values, brands can maximize sponsorship impact.</p>
          </list-item>
          <list-item>
            <p>Al-Nsour et al. (2023): Aimed to identify the impact of sports sponsorship activities on purchasing behavior among sports audiences, and to determine statistical differences in sponsorship activities and purchase response by organizational and demographic variables. The study concluded that sports sponsorship activities had a strong positive effect on the audience’s buying response (ATR). Significant differences in awareness were found among males and bachelor’s degree holders; the 42–46 age group was most experienced; no differences in repeat purchase stage; significant differences in sponsorship activities favored telecom companies in Jordan.</p>
          </list-item>
          <list-item>
            <p>Almaiman et al. (2023): Examined effects of sports sponsorship on the value of three famous brands: Nike, Adidas, and Puma. Findings showed that under sports sponsorship, fans were willing to pay more for sponsor products, and the sponsor brand obtained the highest market share. Overall, prominent brands performed better than non-prominent brands. Sports sponsorship improved the prediction of purchase intention by 35%.</p>
          </list-item>
          <list-item>
            <p>Al-Nsour (2022): Aimed to explore the effect of sports sponsorship activities on sponsor brand mental equity in Jordanian sports audience minds, and statistical differences in perception of sports sponsorship activities and sponsor brand mental value by demographic variables. Found a significant positive effect of sports sponsorship activities on sponsor brand value in Jordanian sports audience minds. A negative relationship was found between sponsor brand mental value and audience age, whereas audience perception of sports sponsorship activities was positively related to age. Other demographic variables were not significant.</p>
          </list-item>
          <list-item>
            <p>Chen (2021): Found that esports sponsorship has grown rapidly. Esports sponsorship depends on high-potential company goals. Results revealed a link between brand and purchase intention; sports sponsorship is influenced by attitudes toward the sponsor, sponsor-event fit, and activity participation; brand connection plays an important role in predicting purchase intention.</p>
          </list-item>
          <list-item>
            <p>Segovia &amp; Kennett (2021): Showed that the sports industry has grown through digital transformation. Sponsorship, a traditional area of sports marketing strategy, has changed significantly. The study revealed how digitization affects sports sponsorship strategies and found that understanding new sponsorship dynamics in the digital landscape requires focusing on three categories: sport, internet, consumer behavior, and sports marketing strategy.</p>
          </list-item>
          <list-item>
            <p>Al-Nsour (2020): Concluded that brand enhancement has a significant positive effect on purchase of sponsor company brands. Found no significant differences in brand enhancement and purchase by all demographic variables.</p>
          </list-item>
          <list-item>
            <p>Alhadad (2019): Addressed the importance of sports events for companies to gain visibility before a large audience with disposable income and high purchasing power, as they address fans who identify with a team, highlighting the importance of leveraging their loyalty for tangible, long-term competitive advantage. Thus, sports sponsorship has increasingly become an important communication tool to enhance company image and achieve goals.</p>
          </list-item>
          <list-item>
            <p>Koronios et al. (2019): Explored key determinants of positive consumer behavior related to sports sponsorship. The study showed factors such as team association, sports participation, and beliefs about sponsorship significantly affect fans’ awareness and attitude toward sponsors. Results indicated a significant impact of attitude toward sponsors and sponsor awareness on fans’ purchase intention. Finally, significant differences were found regarding fan age and sponsorship awareness.</p>
          </list-item>
          <list-item>
            <p>Walraven (2016): Views sports sponsorship as a common, expensive marketing tool; it is necessary to evaluate sports sponsorship investments, costs, and benefits carefully. Applied to 72 major Dutch sports projects, finding average sponsorship efficiency of 0.3, meaning the average project achieves positive results at 30% of costs if performance is good. 12.5% of sponsorship projects were fully efficient; 37.5% had high efficiency at 0.1. Successful sponsorship projects achieve approximate results with low budgets. Clutter and crowded sponsorship programs negatively affect efficiency, whereas sponsorship duration has a positive effect.</p>
          </list-item>
          <list-item>
            <p>Lewis et al. (2016): Presented Chinese consumers’ responses to foreign and local sponsors in the Beijing Olympics. Causal relationships were identified between consumer ethnicity, attitudes toward the sponsor, and product judgment. Results showed that event participation mediates the positive relationship between consumer ethnicity and attitudes toward local sponsors. Attitudes toward foreign sponsors mediate the relationship between consumer ethnicity and judgments of sponsor products.</p>
          </list-item>
          <list-item>
            <p>Ibrahim (2014): Found that sports fan participation had a direct positive effect on perceptions of company image; company image had a direct positive effect on purchase intentions; no link between sports fan participation and intention to purchase sponsor products; no link between sponsorship awareness and positive effect on company image; no link between sponsorship awareness and its effect on intentions to buy sponsor products.</p>
          </list-item>
        </list>
      </sec>

    </sec>

    <sec>
      <title>3. Problem Statement and Questions</title>
      <p>Over recent years, many academic works have discussed the concept of sponsorship and its efficiency in marketing and sports, with varying effects of sports sponsorship on consumers, invested capital, and sponsorship advertising (Walraven et al., 2014). Other studies examined the impact of forms of sports sponsorship via sponsored equipment and properties on consumer behavior through awareness and recall concepts. These results represent high-level sports sponsorship research on its relationship with the consumer and were critical in the theoretical foundation of sponsorship (Walraven et al., 2014). Other studies tested the relationship between the sponsor company and its brand equity by analyzing sponsor image and its impact on audience attitude toward the sponsor brand (Al-Nsour, 2019), along with commitment and purchase intention of that brand (Almaiman et al., 2023; Biscaia et al., 2013).</p>
      <p>Theoretically, the subject of sponsorship can be understood easily, and its effects can be measured academically; however, empirical evidence yielded conflicting and contradictory results, indicating the need for continuous search for more practical details on “best practices” when measuring sponsorship (Keshkar et al., 2019). This forms the theoretical gap in the current study.</p>
      <p>Additionally, despite achieving many empirical research results in sponsorship, there is a clear weakness in theoretical development of this tool (Eddy et al., 2019). Sponsorship research has not yet adopted a specific theoretical framework to verify consumer reactions to sponsorship; much debate remains around designing such research in emerging countries experiencing sports sector development, hindering deep, practical understanding of this activity. This means sports sponsorship in Jordan still needs sufficient empirical support to be considered an established theory.</p>
      <p>Sponsorship efforts in Jordan are modest, unplanned, and not keeping pace with the football boom, creating causal ambiguity in understanding how sponsorship works in Jordan and how it affects local sports audience behavior. Information shows sports sponsorship allocations in Jordan did not exceed $7.7 million in 2025. Based on this, the current study sought to bridge the theoretical and practical gaps in Jordan, where many objectives or criteria of this tool remain unclear.</p>
      <p>To answer the problem, the main question arises: “What is the effect of sports sponsorship on the behavior of the Jordanian sports audience?” This is broken into sub-questions:</p>
      <list list-type="ordered">
        <list-item>
          <p>What is the level of the effect of sports sponsorship on interaction with the sponsor brand from the viewpoint of the Jordanian sports audience?</p>
        </list-item>
        <list-item>
          <p>What is the level of the effect of sports sponsorship on the sponsor brand image from the viewpoint of the Jordanian sports audience?</p>
        </list-item>
        <list-item>
          <p>What is the level of the effect of sports sponsorship on the intention to purchase the sponsor brand from the viewpoint of the Jordanian sports audience?</p>
        </list-item>
        <list-item>
          <p>What is the level of the effect of sports sponsorship on loyalty to the sponsor brand from the viewpoint of the Jordanian sports audience?</p>
        </list-item>
        <list-item>
          <p>What is the level of the effect of involvement in sports sponsorship on the behavior of the Jordanian sports audience (interaction, image, intention, loyalty)?</p>
        </list-item>
        <list-item>
          <p>What are the statistical differences in the level of perception of sports sponsorship according to differences in age, gender, education, and favorite club?</p>
        </list-item>
      </list>
    </sec>

    <sec>
      <title>4. Importance of the Study</title>
      <p>The importance of the study emerges through:</p>
      <list list-type="bullet">
        <list-item>
          <p>The significant transformation and development in football activity in Jordan in recent years. In 2025, the national team achieved a historic milestone by qualifying for the 2026 World Cup in the United States for the first time, after reaching the 2024 Asian Cup final. At the club level, Jordanian clubs continued honorable representation in continental and Arab competitions. These achievements occurred amid a total absence of public and private support, not exceeding $8 million, provided by telecom companies and some financial institutions, plus some cash prizes to players for results. Football generally suffers from declining financial returns amid poor household financial indicators and a severe shortage of sports facilities, infrastructure, and sports investment. This study can yield results or conclusions that may motivate the private sector specifically to support sports activities in the Kingdom through mature, planned, and outcome-complete sponsorship activities.</p>
        </list-item>
        <list-item>
          <p>The current study provides a clear theoretical framework to understand the efficiency of sports sponsorship and how to link it to holistic visions and considerations that measure these investments, offering decision-makers a chance to understand the foundations and principles of investing in sports sponsorship. The results and recommendations can enhance institutional outlook and strategic orientation specific to sports sponsorship in Jordan, based on realistic indicators capable of employing sponsorship in strategic marketing communication.</p>
        </list-item>
      </list>
      <p>After the comprehensive theoretical and literature review, the conceptual framework of the study can be written to define the shape and direction of the relationship between independent, mediating, and dependent variables.</p>

      <fig id="fig1">
        <label>Figure 1</label>
        <caption>
          <title>Study Model</title>
          <p>The figure shows the conceptual model linking sports sponsorship (independent variable) and audience behavior (interaction, salience/image, participation/purchase intention, post-purchase/loyalty) with involvement in the sponsor brand as a mediating variable.</p>
        </caption>
        <graphic xlink:href="https://aradorganization-my.sharepoint.com/:i:/g/personal/mhashem_arado_org/IQCQonM7eAG6RriBsg35oQO9AYTXhfitULvZOygZ-vqn0nU?e=8hjrE6"/>
      </fig>
    </sec>

    <sec sec-type="methods">
      <title>5. Study Design</title>

      <sec>
        <title>5.1 Study Approach and Type</title>
        <p>The quantitative approach is most appropriate for the current study; it involves collecting data and converting it into numerical formats to perform statistical operations and derive results. The study belongs to the analytical descriptive category that aims to describe situations, cases, and conditions (Malhotra, 2021).</p>
      </sec>

      <sec>
        <title>5.2 Population and Sample</title>
        <p>The study population comprises attendees of the Jordanian Professional League (males and females). According to the official league account, 2023–2024 season attendance reached 150,000 (alghad.com, 2024). The study used purposive (judgmental) sampling, a non-probability technique also known as judgmental, selective, or subjective sampling, depending on researchers’ judgment in selecting units to be studied (people, cases, organizations, events, data points) (Malhotra, 2021). The researchers chose this sample type because it best meets study goals. Reasons include homogeneity of the population, the trait of match attendance, higher research efficiency, short study time, low cost, and the possibility of generalizing results to the whole population (Malhotra, 2021).</p>
        <p>A homogeneous sample is a purposive sampling method where units share the same characteristics or traits (highly similar traits), including people similar in age, gender, background, profession, etc. Based on sample size tables, the maximum sample size is 385 (Malhotra, 2021). The researchers designed the “questionnaire” on Google Drive for optional electronic completion. All questionnaires distributed face-to-face at selected locations were returned, with a 100% return rate. The unit of analysis is the Jordanian citizen interested in attending and following league matches in the 2023–2024 season.</p>
      </sec>

      <sec>
        <title>5.3 Study Measures</title>
        <p>The study adopted a five-point Likert scale to measure the independent variable (sports sponsorship), the dependent variable (behavior of the Jordanian audience), and the moderating variable (brand involvement). Response levels from (1–5) express the degree of agreement between the statement and the respondent’s view. A value of (5) was given to “very high,” (4) to “high,” (3) to “moderate,” (2) to “low,” and (1) to “very low.” The relative scale is applied as follows: 5–4.2 = very high; &lt;4.2–3.6 = high; &lt;3.6–2.4 = moderate (acceptable); &lt;2.4–1.6 = weak; &lt;1.6 = very weak.</p>
      </sec>

      <sec>
        <title>5.4 Study Data</title>
        <sec>
          <title>5.4.1 Primary Data</title>
          <p>Primary data are designed for use in the current study only (Hackett, 2018). To achieve this, the researchers designed an appropriate tool to collect primary data from the sample. The survey method is optimal for quantitative studies. The study tool is a fully planned questionnaire consisting of open-ended and closed-ended questions. Primary data are actual, real data from attendees of the professional football league 2023–2024 season.</p>
        </sec>
        <sec>
          <title>5.4.2 Secondary Data</title>
          <p>Examples include reports and statistics on sponsorship—especially sports sponsorship—in Jordan and globally; reports published by sports institutions concerned with sponsorship; government reports and data on sports sponsorship; local and foreign newspapers with news or information on sports sponsorship; renowned global news sites covering sports sponsorship; Arabic and foreign books specialized in sports marketing and sports sponsorship; Arabic scientific journals of Jordanian or Arab universities in sports marketing or sponsorship; foreign scientific journals of highly ranked international institutions in sports marketing and sponsorship; Arabic and foreign books published online in marketing and sports sponsorship; and master’s and doctoral theses available in global databases on the topic.</p>
        </sec>
      </sec>

      <sec>
        <title>5.5 Data Collection Tool and Methods</title>
        <p>The questionnaire is the main tool for collecting data from the sample. It consists of a set of questions and items requiring respondents to agree or disagree. For this study, the survey was conducted on a sample of attendees of the Jordanian Professional League (males and females) using various data collection methods such as social media, websites, and email. The researchers developed the questionnaire on Google Drive and consulted specialists to review the initial items, ensuring external validity and suitability to achieve study objectives. The final electronic questionnaire was distributed, all copies were retrieved, and all were subjected to final analysis.</p>
      </sec>

      <sec>
        <title>5.6 Data Analysis Methods</title>
        <p>Descriptive analysis tools such as mean, standard deviation, and relative frequencies were used to evaluate the level of perception of sports sponsorship activities and brand value dimensions. Data analysis was performed using Structural Equation Modelling (SEM) with Smart PLS. This methodology involves assumptions and statistical indicators to test and measure study data. The p-value was used to show directional relationships among study variables, and standardized Beta to determine the strength and direction of relationships. Effect size (f²) and coefficient of determination (R²) were used to measure the strength and ability of the independent variable to explain the dependent variable. Predictive relevance (Q²) indicates predictive power of study variables, and GoF assesses regression model performance.</p>
      </sec>

      <sec>
        <title>5.7 Validity and Reliability</title>
        <sec>
          <title>5.7.1 Discriminant Validity</title>
          <p>Discriminant validity is the degree to which scale items differ from one another, measuring overlap among them (Hair et al., 2020). It includes Cross Loading, where each item’s loading on its latent variable (independent, mediating, dependent) must be highest compared to other variables (Hair et al., 2020). Table 1 shows that each item’s loading in its original variable is different and higher than in other variables, indicating the items are distinct and best placed.</p>
        </sec>

        <sec>
          <title>5.7.2 Convergent Validity</title>
          <p>Convergent validity is the degree of agreement among several items measuring the same concept in the variable (Ringle et al., 2024) and consists of three subtests:</p>
          <list list-type="bullet">
            <list-item>
              <p><bold>Individual Item Validity:</bold> Measures consistency among items assessing the same phenomenon; respondents agree on one answer. The statistical rule accepts values above 0.7. Table 1 shows all items above 0.7, thus statistically acceptable.</p>
            </list-item>
            <list-item>
              <p><bold>Composite Reliability (CR):</bold> The rule accepts the latent variable (independent, mediator, dependent) when CR exceeds 0.7. Table 1 shows all variables exceed 0.7 (Hair et al., 2020).</p>
            </list-item>
            <list-item>
              <p><bold>Average Variance Extracted (AVE):</bold> Minimum acceptable value is 0.5. Table 1 shows all study variables exceed 0.5, thus meeting statistical criteria and usable for hypothesis testing (Ringle et al., 2024).</p>
            </list-item>
            <list-item>
              <p><bold>rho_A Reliability and Validity:</bold> Values above 0.7 indicate reliable, valid constructs (Fornell &amp; Larcker, 1981). Table 1 indicates constructs are statistically reliable.</p>
            </list-item>
          </list>

          <table-wrap id="tab1">
            <label>Table 1</label>
            <caption>
              <title>Statistical Tests (Cross Loading, CR, AVE, Rho_A) for Study Measures</title>
            </caption>
            <table frame="box" rules="all">
              <thead>
                <tr>
                  <th>Items</th>
                  <th>Cross Loading</th>
                  <th>CR</th>
                  <th>AVE</th>
                  <th>Rho_A</th>
                  <th>Variable</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Aware1</td>
                  <td>0.807</td>
                  <td rowspan="6">0.930</td>
                  <td rowspan="6">0.691</td>
                  <td rowspan="6">0.915</td>
                  <td rowspan="6">Sports Sponsorship</td>
                </tr>
                <tr>
                  <td>Aware2</td>
                  <td>0.818</td>
                </tr>
                <tr>
                  <td>Aware3</td>
                  <td>0.895</td>
                </tr>
                <tr>
                  <td>Aware4</td>
                  <td>0.872</td>
                </tr>
                <tr>
                  <td>Aware5</td>
                  <td>0.843</td>
                </tr>
                <tr>
                  <td>Aware6</td>
                  <td>0.743</td>
                </tr>

                <tr>
                  <td>Interact1</td>
                  <td>0.832</td>
                  <td rowspan="8">0.974</td>
                  <td rowspan="8">0.824</td>
                  <td rowspan="8">0.971</td>
                  <td rowspan="8">Interaction</td>
                </tr>
                <tr>
                  <td>Interact2</td>
                  <td>0.886</td>
                </tr>
                <tr>
                  <td>Interact3</td>
                  <td>0.919</td>
                </tr>
                <tr>
                  <td>Interact4</td>
                  <td>0.867</td>
                </tr>
                <tr>
                  <td>Interact5</td>
                  <td>0.922</td>
                </tr>
                <tr>
                  <td>Interact6</td>
                  <td>0.941</td>
                </tr>
                <tr>
                  <td>Interact7</td>
                  <td>0.957</td>
                </tr>
                <tr>
                  <td>Interact8</td>
                  <td>0.938</td>
                </tr>

                <tr>
                  <td>Image1</td>
                  <td>0.872</td>
                  <td rowspan="6">0.930</td>
                  <td rowspan="6">0.691</td>
                  <td rowspan="6">0.950</td>
                  <td rowspan="6">Brand Image</td>
                </tr>
                <tr>
                  <td>Image2</td>
                  <td>0.908</td>
                </tr>
                <tr>
                  <td>Image3</td>
                  <td>0.901</td>
                </tr>
                <tr>
                  <td>Image4</td>
                  <td>0.894</td>
                </tr>
                <tr>
                  <td>Image5</td>
                  <td>0.902</td>
                </tr>
                <tr>
                  <td>Image6</td>
                  <td>0.875</td>
                </tr>

                <tr>
                  <td>Invole1</td>
                  <td>0.934</td>
                  <td rowspan="6">0.978</td>
                  <td rowspan="6">0.883</td>
                  <td rowspan="6">0.974</td>
                  <td rowspan="6">Involvement</td>
                </tr>
                <tr>
                  <td>Invole2</td>
                  <td>0.912</td>
                </tr>
                <tr>
                  <td>Invole3</td>
                  <td>0.937</td>
                </tr>
                <tr>
                  <td>Invole4</td>
                  <td>0.942</td>
                </tr>
                <tr>
                  <td>Invole5</td>
                  <td>0.951</td>
                </tr>
                <tr>
                  <td>Invole6</td>
                  <td>0.961</td>
                </tr>

                <tr>
                  <td>Inten1</td>
                  <td>0.882</td>
                  <td rowspan="7">0.971</td>
                  <td rowspan="7">0.828</td>
                  <td rowspan="7">0.968</td>
                  <td rowspan="7">Intention</td>
                </tr>
                <tr>
                  <td>Inten2</td>
                  <td>0.896</td>
                </tr>
                <tr>
                  <td>Inten3</td>
                  <td>0.938</td>
                </tr>
                <tr>
                  <td>Inten4</td>
                  <td>0.906</td>
                </tr>
                <tr>
                  <td>Inten5</td>
                  <td>0.909</td>
                </tr>
                <tr>
                  <td>Inten6</td>
                  <td>0.909</td>
                </tr>
                <tr>
                  <td>Inten7</td>
                  <td>0.928</td>
                </tr>

                <tr>
                  <td>Satis1</td>
                  <td>0.896</td>
                  <td rowspan="7">0.977</td>
                  <td rowspan="7">0.859</td>
                  <td rowspan="7">0.974</td>
                  <td rowspan="7">Loyalty</td>
                </tr>
                <tr>
                  <td>Satis2</td>
                  <td>0.916</td>
                </tr>
                <tr>
                  <td>Satis3</td>
                  <td>0.905</td>
                </tr>
                <tr>
                  <td>Satis4</td>
                  <td>0.967</td>
                </tr>
                <tr>
                  <td>Satis5</td>
                  <td>0.931</td>
                </tr>
                <tr>
                  <td>Satis6</td>
                  <td>0.942</td>
                </tr>
                <tr>
                  <td>Satis7</td>
                  <td>0.932</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>

        <sec>
          <title>5.7.3 Fornell-Larcker Criterion</title>
          <p>The Fornell–Larcker criterion holds that the latent variable (independent, mediator, dependent) explains more variance of its indicators than that of other latent variables (Fornell &amp; Larcker, 1981). Table 2 shows the variance values for each latent variable are higher in its own construct than in others, indicating no relationship with other constructs and that the current placement is optimal.</p>

          <table-wrap id="tab2">
            <label>Table 2</label>
            <caption>
              <title>Fornell–Larcker Criterion for Latent Variables</title>
            </caption>
            <table frame="box" rules="all">
              <thead>
                <tr>
                  <th>Measure</th>
                  <th>Involvement</th>
                  <th>Interaction</th>
                  <th>Purchase Intention</th>
                  <th>Sports Sponsorship</th>
                  <th>Image</th>
                  <th>Loyalty</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Involvement</td>
                  <td>0.910</td>
                  <td>0.745</td>
                  <td>0.786</td>
                  <td>0.766</td>
                  <td>0.709</td>
                  <td>0.702</td>
                </tr>
                <tr>
                  <td>Interaction</td>
                  <td>0.745</td>
                  <td>0.908</td>
                  <td>0.910</td>
                  <td>0.882</td>
                  <td>0.800</td>
                  <td>0.810</td>
                </tr>
                <tr>
                  <td>Purchase Intention</td>
                  <td>0.786</td>
                  <td>0.910</td>
                  <td>0.940</td>
                  <td>0.890</td>
                  <td>0.780</td>
                  <td>0.823</td>
                </tr>
                <tr>
                  <td>Sports Sponsorship</td>
                  <td>0.766</td>
                  <td>0.882</td>
                  <td>0.890</td>
                  <td>0.831</td>
                  <td>0.775</td>
                  <td>0.794</td>
                </tr>
                <tr>
                  <td>Image</td>
                  <td>0.709</td>
                  <td>0.800</td>
                  <td>0.780</td>
                  <td>0.775</td>
                  <td>0.892</td>
                  <td>0.798</td>
                </tr>
                <tr>
                  <td>Loyalty</td>
                  <td>0.702</td>
                  <td>0.810</td>
                  <td>0.823</td>
                  <td>0.794</td>
                  <td>0.798</td>
                  <td>0.927</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
      </sec>
    </sec>

    <sec sec-type="results">
      <title>6. Descriptive Analysis of the Data</title>

      <sec>
        <title>6.1 Main and Sub Variables</title>
        <p><bold>Independent Variable:</bold> “Sports sponsorship” consists of 6 statements, all at a high level. The mean of the independent variable is (3.847) with a standard deviation of (1.141), indicating a high level of awareness of sports sponsorship activities in Jordan, agreed by 81.6% of the Jordanian sports audience.</p>
        <p><bold>Involvement with the Sponsor Brand (Mediator):</bold> The mediating variable consists of 6 statements, all at a high level. The mean is (3.576) with a standard deviation of (1.256), indicating a high level of involvement of the Jordanian sports audience with the sponsor brand, agreed by 72.6% of the audience.</p>
        <p><bold>Dependent Variable:</bold> “Sports audience behavior” consists of 34 statements. The overall mean is (3.654) with a standard deviation of (1.213), indicating a high level of sports audience behavior toward the sponsor brand, agreed by 74.77% of the audience. Components are:</p>
        <list list-type="ordered">
          <list-item>
            <p><bold>Interaction with the sponsor brand:</bold> 8 statements; 6 high, 2 moderate. Mean (3.489), SD (1.314). Interaction is moderate, agreed by 69.1% of the audience.</p>
          </list-item>
          <list-item>
            <p><bold>Sponsor brand image:</bold> 6 statements; 5 high, 1 moderate. Mean (3.556), SD (1.241). Image is moderate, agreed by 72.3% of the audience.</p>
          </list-item>
          <list-item>
            <p><bold>Intention to purchase the sponsor brand:</bold> 7 statements; all high. Mean (3.77), SD (1.156). Intention is high, agreed by 77.7% of the audience.</p>
          </list-item>
          <list-item>
            <p><bold>Loyalty to the sponsor brand:</bold> 7 statements; all high. Mean (3.765), SD (1.140). Loyalty is high, agreed by 80.1% of the audience.</p>
          </list-item>
        </list>

        <table-wrap id="tab3">
          <label>Table 3</label>
          <caption>
            <title>Descriptive Statistics of Study Variables</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Variable</th>
                <th>Mean</th>
                <th>Std. Deviation</th>
                <th>Response Level</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Sports sponsorship (Total)</td>
                <td>3.847</td>
                <td>1.14184</td>
                <td>High</td>
              </tr>
              <tr>
                <td>Brand involvement (Total)</td>
                <td>3.576</td>
                <td>1.25600</td>
                <td>High</td>
              </tr>
              <tr>
                <td>Interaction with sponsor brand</td>
                <td>3.48959</td>
                <td>1.31449</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>Sponsor brand image</td>
                <td>3.55600</td>
                <td>1.24140</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>Purchase intention for sponsor brand</td>
                <td>3.77080</td>
                <td>1.15610</td>
                <td>High</td>
              </tr>
              <tr>
                <td>Loyalty to sponsor brand</td>
                <td>3.76500</td>
                <td>1.14060</td>
                <td>High</td>
              </tr>
              <tr>
                <td>Sports consumer behavior (Total)</td>
                <td>3.64500</td>
                <td>1.21300</td>
                <td>High</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>

    <sec sec-type="results">
      <title>7. Study Results</title>

      <sec>
        <title>7.1 First Main Hypothesis</title>
        <p><bold>H1:</bold> Sports sponsorship is expected to affect the behavior of the Jordanian sports audience toward sponsor brands.</p>
        <p>Path analysis showed a direct effect of sports sponsorship on consumer behaviors from the Jordanian sports audience perspective. At the level of reciprocal relationships among variables, Table 4 indicates statistical significance for all hypothesized correlations (p &lt; 0.05). Empirically, all sub-hypotheses are supported. Specifically, a positive correlation exists between sports sponsorship and purchase intention of sponsor brands (0.892), and to a lesser extent between sports sponsorship and interaction with sponsor brands (0.887). Positive correlations also exist between sports sponsorship and loyalty to the sponsor brand (0.791), and between sports sponsorship and sponsor brand image (0.787). Overall, a strong positive correlation was found between sports sponsorship and the behavior of the Jordanian sports audience toward sponsor brands (0.913).</p>

        <table-wrap id="tab4">
          <label>Table 4</label>
          <caption>
            <title>Direct Effect of Sports Sponsorship on Dependent Variables (Path Analysis)</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>H</th>
                <th>Relationship</th>
                <th>Std. Beta</th>
                <th>Std. Dev</th>
                <th>T-Value</th>
                <th>P-Value</th>
                <th>f²</th>
                <th>Decision</th>
                <th>R²</th>
                <th>Q²</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>H₁₁</td>
                <td>Sport Sponsorship → Interaction</td>
                <td>0.887</td>
                <td>0.029</td>
                <td>30.309</td>
                <td>0.000</td>
                <td>0.509</td>
                <td>High positive effect</td>
                <td>0.773</td>
                <td>0.626</td>
              </tr>
              <tr>
                <td>H₁₂</td>
                <td>Sport Sponsorship → Image</td>
                <td>0.787</td>
                <td>0.055</td>
                <td>14.116</td>
                <td>0.000</td>
                <td>0.506</td>
                <td>High positive effect</td>
                <td>0.592</td>
                <td>0.460</td>
              </tr>
              <tr>
                <td>H₁₃</td>
                <td>Sport Sponsorship → Intention</td>
                <td>0.892</td>
                <td>0.030</td>
                <td>29.306</td>
                <td>0.000</td>
                <td>0.828</td>
                <td>High positive effect</td>
                <td>0.788</td>
                <td>0.692</td>
              </tr>
              <tr>
                <td>H₁₅</td>
                <td>Sport Sponsorship → Loyalty</td>
                <td>0.791</td>
                <td>0.067</td>
                <td>11.919</td>
                <td>0.000</td>
                <td>0.704</td>
                <td>High positive effect</td>
                <td>0.622</td>
                <td>0.532</td>
              </tr>
              <tr>
                <td>H1</td>
                <td>Sport Sponsorship → Consumer Behavior</td>
                <td>0.913</td>
                <td>0.026</td>
                <td>35.149</td>
                <td>0.000</td>
                <td>0.547</td>
                <td>High positive effect</td>
                <td>0.816</td>
                <td>0.558</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <p>The R² values indicate sports sponsorship explains 78.8% of variance in purchase intention, 77.3% of variance in interaction, 62.2% of variance in loyalty, and 59.2% of variance in brand image. Overall, sports sponsorship explains 81.6% of variance in Jordanian sports audience behavior toward sponsor brands.</p>
        <p>Predictive relevance (Q²) is 0.558 for consumer behavior, indicating high predictive power. Effect sizes (f²) above 0.35 indicate high effects, achieved for all dimensions.</p>
      </sec>

      <sec>
        <title>7.2 Second Main Hypothesis</title>
        <p><bold>H2:</bold> Brand involvement is expected to have a statistical effect on the behavior of the Jordanian sports audience toward sponsor brands.</p>
        <p>Using the same path analysis, the involvement variable shows direct effects on the behavior of the Jordanian sports audience toward sponsor brands. Path coefficients indicate all hypothesized relationships are significant (p &lt; 0.05). Thus, the four hypotheses in Table 5 are supported. There is a positive relationship between involvement and interaction (0.745), involvement and brand image (0.715), involvement and purchase intention (0.783), and involvement and loyalty (0.706). Overall, a positive relationship exists between involvement and all components of sports audience behavior toward sponsor brands (0.776).</p>
        <p>Effect size (f²) shows involvement’s impact on purchase intention ranks first (1.628), followed by interaction (1.262), brand image (1.042), and loyalty (1.004).</p>

        <table-wrap id="tab5">
          <label>Table 5</label>
          <caption>
            <title>Path Analysis for Hypothesis 2 (Involvement Effects on Audience Behavior Dimensions)</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>H</th>
                <th>Relationship</th>
                <th>Std. Beta</th>
                <th>Std. Dev</th>
                <th>T-Value</th>
                <th>P-Value</th>
                <th>f²</th>
                <th>Decision</th>
                <th>R²</th>
                <th>Q²</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>H₁₁</td>
                <td>Involvement → Interaction</td>
                <td>0.745</td>
                <td>0.090</td>
                <td>8.318</td>
                <td>0.000</td>
                <td>1.262</td>
                <td>High positive effect</td>
                <td>0.548</td>
                <td>0.448</td>
              </tr>
              <tr>
                <td>H₁₂</td>
                <td>Involvement → Image</td>
                <td>0.715</td>
                <td>0.086</td>
                <td>8.063</td>
                <td>0.000</td>
                <td>1.042</td>
                <td>High positive effect</td>
                <td>0.500</td>
                <td>0.390</td>
              </tr>
              <tr>
                <td>H₁₃</td>
                <td>Involvement → Intention</td>
                <td>0.783</td>
                <td>0.086</td>
                <td>9.108</td>
                <td>0.000</td>
                <td>1.628</td>
                <td>High positive effect</td>
                <td>0.611</td>
                <td>0.535</td>
              </tr>
              <tr>
                <td>H₁₅</td>
                <td>Involvement → Loyalty</td>
                <td>0.706</td>
                <td>0.097</td>
                <td>7.308</td>
                <td>0.000</td>
                <td>1.004</td>
                <td>High positive effect</td>
                <td>0.490</td>
                <td>0.406</td>
              </tr>
              <tr>
                <td>H1</td>
                <td>Involvement → Consumer Behavior</td>
                <td>0.776</td>
                <td>0.092</td>
                <td>8.346</td>
                <td>0.000</td>
                <td>1.459</td>
                <td>High positive effect</td>
                <td>0.537</td>
                <td>0.475</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <p>Based on R², the structural model explains 53.7% of the variance between involvement and sports audience behavior toward sponsor brands. Q² is 0.475, indicating high predictive power for the dependent variable through involvement. GoF is 0.553, reflecting high model performance.</p>
      </sec>

      <sec>
        <title>7.3 Third Main Hypothesis</title>
        <p><bold>H3:</bold> Involvement is expected to have a statistical mediating effect on the relationship between sports sponsorship and the behavior of the Jordanian sports audience toward sponsor brands (mediating variable).</p>
        <p>Using PLS with 500 bootstraps and calculating the standard error for the indirect effect (sports sponsorship → sports audience behavior) and the total effect (sports sponsorship → involvement → sports audience behavior), the indirect effect was divided by the total effect to obtain the percentage of each path. This isolates the effect of the non-significant part of the model, thus calculating the error in the mediator effect.</p>

        <table-wrap id="tab6">
          <label>Table 6</label>
          <caption>
            <title>Path Analysis for Hypothesis 3 (Indirect Effect of Involvement)</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Relationship</th>
                <th>Sample Mean</th>
                <th>Std. Error</th>
                <th>T-Value</th>
                <th>P-Value</th>
                <th>Decision</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Sponsorship → Involvement → Interaction</td>
                <td>0.760</td>
                <td>0.130</td>
                <td>5.767</td>
                <td>0.000</td>
                <td>Positive indirect effect</td>
              </tr>
              <tr>
                <td>Sponsorship → Involvement → Image</td>
                <td>0.555</td>
                <td>0.153</td>
                <td>3.528</td>
                <td>0.000</td>
                <td>Positive indirect effect</td>
              </tr>
              <tr>
                <td>Sponsorship → Involvement → Intention</td>
                <td>0.694</td>
                <td>0.146</td>
                <td>4.758</td>
                <td>0.000</td>
                <td>Positive indirect effect</td>
              </tr>
              <tr>
                <td>Sponsorship → Involvement → Loyalty</td>
                <td>0.614</td>
                <td>0.183</td>
                <td>3.358</td>
                <td>0.001</td>
                <td>Positive indirect effect</td>
              </tr>
              <tr>
                <td>Sponsorship → Involvement → Consumer Behavior</td>
                <td>0.224</td>
                <td>0.079</td>
                <td>3.382</td>
                <td>0.001</td>
                <td>Relatively weak indirect effect</td>
              </tr>
              <tr>
                <td>Involvement → Sponsorship</td>
                <td>0.776</td>
                <td>0.102</td>
                <td>7.548</td>
                <td>0.000</td>
                <td>Positive direct effect</td>
              </tr>
              <tr>
                <td>Sponsorship → Consumer Behavior</td>
                <td>0.904</td>
                <td>0.025</td>
                <td>35.998</td>
                <td>0.000</td>
                <td>Strong direct effect</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <table-wrap id="tab7">
          <label>Table 7</label>
          <caption>
            <title>Mediator Effect (Involvement) Between Sponsorship and Consumer Behavior</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Relationship</th>
                <th>Indirect Effect</th>
                <th>Total Effect</th>
                <th>Indirect/Total (%)</th>
                <th>T-Value</th>
                <th>95% CI</th>
                <th>Decision</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Sport Sponsorship → Involvement → Consumer Behavior (SS → In → CB)</td>
                <td>0.224</td>
                <td>0.904</td>
                <td>24.78</td>
                <td>3.382</td>
                <td>[0.397 – 0.941]</td>
                <td>No substantive mediation; direct effect on audience behavior remains high (75.22%)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <p>Results indicate the mediating path is not statistically substantive; the mediator accounts for 24.78% of the total effect. Brand involvement does not substantially mediate the causal relationship between sports sponsorship and sports audience behavior, as the direct effect remains high and accounts for the largest share (75.22%). Comparing critical t (1.981) and computed t (8.1), we reject considering involvement a substantive mediator in this relationship.</p>
      </sec>

      <sec>
        <title>7.4 Fourth Main Hypothesis</title>
        <p><bold>H4:</bold> There are statistically significant differences in the perception of sports sponsorship from the viewpoint of the Jordanian sports audience by age, education, gender, and favorite team at α = 0.05.</p>
        <p>Using path analysis in Smart PLS4, personal factors were set as moderators, and p-values were extracted. The decision rule accepts moderator impact if p &lt; 0.05.</p>

        <table-wrap id="tab8">
          <label>Table 8</label>
          <caption>
            <title>Test of Statistical Differences by Demographics</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Relationship</th>
                <th>Std. Beta</th>
                <th>Std. Dev</th>
                <th>T-Value</th>
                <th>P-Value</th>
                <th>Decision</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Sponsorship → Age</td>
                <td>0.083</td>
                <td>0.117</td>
                <td>0.909</td>
                <td>0.364</td>
                <td>No significant differences</td>
              </tr>
              <tr>
                <td>Sponsorship → Education</td>
                <td>-0.047</td>
                <td>0.092</td>
                <td>0.461</td>
                <td>0.645</td>
                <td>No significant differences</td>
              </tr>
              <tr>
                <td>Sponsorship → Gender</td>
                <td>0.128</td>
                <td>2.932</td>
                <td>0.004</td>
                <td>0.997</td>
                <td>No significant differences</td>
              </tr>
              <tr>
                <td>Sponsorship → Favorite team</td>
                <td>0.073</td>
                <td>0.106</td>
                <td>0.480</td>
                <td>0.631</td>
                <td>No significant differences</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <p>Results indicate no statistical effect of age, education, gender, or favorite team on the level of perception of sports sponsorship activities from the Jordanian sports audience perspective.</p>
      </sec>

      <sec>
        <title>7.5 Model Fit (Goodness of Fit)</title>
        <p>GoF is the geometric mean of AVE and R² for inner constructs (Hair et al., 2021). GoF can determine predictive strength in a complex model and assess measurement and structural model performance (Chin &amp; Dibbern, 2010). The decision rule: GoF &lt; 0.1 = poor fit; 0.1–0.25 = small; 0.25–0.36 = medium; &gt;0.36 = high.</p>

        <table-wrap id="tab9">
          <label>Table 9</label>
          <caption>
            <title>Fit Indices</title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Index</th>
                <th>Saturated Model</th>
                <th>Estimated Model</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>SRMR</td>
                <td>0.073</td>
                <td>0.101</td>
              </tr>
              <tr>
                <td>d_ULS</td>
                <td>4.326</td>
                <td>8.339</td>
              </tr>
              <tr>
                <td>d_G</td>
                <td>26.430</td>
                <td>27.067</td>
              </tr>
              <tr>
                <td>Chi-Square</td>
                <td>2631.284</td>
                <td>2657.717</td>
              </tr>
              <tr>
                <td>NFI</td>
                <td>0.478</td>
                <td>0.473</td>
              </tr>
              <tr>
                <td>Q² (Consumer behavior)</td>
                <td colspan="2">0.558</td>
              </tr>
              <tr>
                <td>GoF</td>
                <td colspan="2">0.553</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>

    <sec sec-type="discussion">
      <title>8. Discussion of Results and Recommendations</title>
      <p>Jordanian football is experiencing notable growth, evidenced by the second-place finish in the 2024 Asian Cup and qualification for the 2026 World Cup, complementing modest progress since 1984, considered the start of continental participation. Jordanian clubs, notably Al-Faisaly and Al-Wehdat, achieved many significant accomplishments despite limited resources at the time.</p>
      <p>Jordan’s competitive edge in sports emerged in basketball and taekwondo, supported by acceptable local funding, enabling global reach and achievements. Financial resources are the lifeblood of sports in Jordan, especially football. Football has become an industry with components, supporters, and essential elements. This industry remains nascent in Jordan, lacking scientific foundations that could elevate it and its clubs and sports events.</p>
      <p>Sports sponsorship contracts reached $114.4 billion in 2024, accounting for 12% of sponsor budgets, with sports sponsorship representing 50%–70% of total sponsorship globally (Statista, 2024). In Jordan, sports sponsorship spending did not exceed $7.7 million in 2025, highlighting the large financial gap between local and international sponsorship indicators. Sports sponsorship still focuses on the most popular teams, with no real criteria to assess sponsors, alongside weak tracking of sponsorship and its effects on the target sports audience (Al-Nsour et al., 2023). Often, no empirical studies measure audience responses to sponsor image, brand awareness, or attitudes toward sponsors and sponsorship overall (Aguiló-Lemoine et al., 2020; Madushani &amp; Gunawardane, 2020).</p>
      <p>This paper offers a genuine empirical study measuring the causal relationship between sports sponsorship activities and Jordanian sports audience behavior toward sponsor brands. The current study thus combines elements focusing on customer perspective regarding sponsorship.</p>
      <p>Using path analysis, the study found a high positive effect of sports sponsorship on interaction with the sponsor brand (0.509); sports sponsorship explained 77.3% of variance in interaction. Consumer interaction is a key element in forming competitive advantage for brands (Nysveen &amp; Pedersen, 2014), referred to as Consumer Brand Engagement (CBE). Interaction is how consumers behave with the brand (Schivinski et al., 2016), a multidimensional construct via emotions and cognition (Kulkarni, 2022). The current study aligns with prior findings that positive interaction increases cognitive, emotional, and behavioral activity toward the brand, making the customer think more about it and show positive feelings (Nuseir, 2020), and affecting behavioral intentions (Cornwell et al., 2024). Studies agree that interaction allows value creation and a creative process predicting behavior (Brodie et al., 2011). Many evidences confirm interaction stimulates consumers to engage in different contexts (Dwivedi, 2015). Sponsorship research shows sponsor brand engagement increased through websites and social media (Garza &amp; Kennett, 2022), directly affecting sponsor brands. High spectator engagement in the Athens 2004 Olympics with sponsors led to positive attitudes toward sponsors afterward (Kim &amp; Kaplanidou, 2014). Cornwell et al. (2005) found sports sponsorship communications enhanced positive emotions toward the sponsor; an audience aware of the brand has an interactive, participatory message for the brand.</p>
      <p>The current study confirms the relationship between sports sponsorship and sponsor brand image, showing a high positive effect (0.506); sports sponsorship explained 59.2% of variance in brand image. The literature provides much empirical evidence worldwide that sports sponsorship positively affects brand image and purchase intention (Sarpong &amp; Zungu, 2025; Park &amp; Sihombing, 2020; Liao, 2023; Melovic et al., 2019; Grohs &amp; Reisinger, 2014).</p>
      <p>The study confirms a high positive effect of sports sponsorship on purchase intention of the sponsor brand (0.828); sports sponsorship explained 78.8% of variance in purchase intention. Behavioral prediction literature (Theory of Planned Behavior) includes many studies examining the link between sports sponsorship and intention to buy sponsor products (Ngan et al., 2011; Dees et al., 2008; Koronios et al., 2019; Li et al., 2022; Phiri &amp; Chakauya, 2023; IEG, 2018), consistent with the current results.</p>
      <p>Finally, the study demonstrates a high positive relationship between sponsorship and loyalty to the sponsor brand (0.704); sponsorship explained 62.2% of variance in loyalty. This agrees with prior studies (Alhadad, 2019; Biscaia et al., 2013; Hunt &amp; Hunt, 2022; Monterian, 2020), which showed loyalty is key to competitive advantage; sports sponsorship enhances company image, purchase intention, and brand loyalty.</p>
      <p>Regarding hypotheses on involvement effects on sports audience behavior toward sponsor brands, all four were supported: involvement and interaction (0.745), involvement and brand image (0.715), involvement and purchase intention (0.783), and involvement and loyalty (0.706). However, the current study failed to prove involvement as a mediator of the causal relationship between sports sponsorship and audience behavior.</p>
      <p>Literature emphasizes that sports events are opportunities to display the brand to large crowds, creating gratitude and closeness, leading to sponsor brand purchase (Alhadad, 2019; Roeleven, 2023; Mohammadian &amp; Rahimipour, 2012; Tsiotsou &amp; Alexandris, 2009; Kulkarni, 2022; Magdalena &amp; Dharmanto, 2020; Khuong &amp; Chau, 2017; Donlan, 2014; Ko et al., 2008; Lee et al., 2008; Tsuji, 2007). Nevertheless, this study showed involvement does not play a substantive mediating role between sponsorship and audience behavior, although it strongly enhances each behavioral dimension individually.</p>

      <p>Based on the results, the study recommends:</p>
      <list list-type="bullet">
        <list-item>
          <p>Establishing the Higher Authority for Sports Sponsorship in Jordan, responsible for setting laws and regulations for sports sponsorship, conducting studies, and implementing awareness programs to enhance the concept among sports clubs and sponsoring companies, and proposing suitable sponsorships for sports facilities.</p>
        </list-item>
        <list-item>
          <p>The government should adopt a comprehensive program to enhance and develop sports sponsorship in Jordan, including tax and financial incentives for sponsors, and signing sports sponsorship contracts under government and sports authorities’ responsibility.</p>
        </list-item>
        <list-item>
          <p>Developing and creating specialized databases to collect, classify, and develop sports information, especially related to sports sponsorships, and developing necessary human resources to manage this bank.</p>
        </list-item>
      </list>
    </sec>

    <sec sec-type="conclusion">
      <title>9. Study Limitations and Future Research</title>
      <p>The researchers conducted the study on attendees of the Jordanian Professional League (males and females) in the 2023–2024 season, distributing the questionnaire to club supporter associations for assistance. Future research could consider other sports like basketball and handball.</p>
      <p>The current study used purposive (judgmental) sampling, a non-probability technique, which may weaken generalizability. However, strict procedures controlled sample selection. Still, future studies could use probabilistic techniques such as stratified random sampling, segmenting the audience into multiple market strata (e.g., by favorite club).</p>
    </sec>

    <sec>
      <title>10. Conclusion</title>
      <p>Sports sponsorship is a widespread communication and marketing tool that increases sponsor brand exposure to the target audience. Football generates strong emotions among supporters and exploits their emotional aspects. According to the current study, this emotion does not differ among audience members by education, gender, age, or favorite team popularity, implying that sports sponsorship is suitable for all audience segments regardless of demographics, enabling effective mass communication and easy achievement of sponsor goals.</p>
      <p>The literature views sport as an intangible, uncertain, temporary, practical, and subjective product, making performance hard to predict. Based on the current study’s empirical evidence, intangible behavioral factors (intention and loyalty) among the Jordanian sports audience were most affected by sports sponsorship. Sports sponsorship raises cognitive, emotional, and behavioral activity toward the brand, making the customer think more about it, show positive feelings, and influencing behavioral intentions toward it.</p>
      <p>Sponsors have relied on measuring sponsorship effectiveness via match wins and on-field performance, ignoring the earlier behavioral factors, making it difficult to build real insights and connections with the sports audience. The current study’s results help fill knowledge gaps in sports sponsorship and sports consumer behavior. The emotional bond between fans and their favorite teams makes sponsor products particularly attractive to them. Sports literature indicates the Jordanian sports audience is active and enthusiastic, considering itself a core part of its favorite team, with emotion forming part of its relationship with the team.</p>
    </sec>

  </body>

<back>
    <ref-list>
      <title>References</title>

      <ref id="R1">
        <element-citation publication-type="journal" xml:lang="en">
          <person-group person-group-type="author">
            <name>
              <surname>Hamad</surname>
              <given-names>Reem Mohamed Abdelruahab</given-names>
            </name>
          </person-group>
          <year>2021</year>
          <article-title>The Role of Sports Sponsorship in Promoting the Brand</article-title>
          <source>Scientific Journal for Media Research and Communication Technology</source>
          <volume>10</volume>
          <issue>10</issue>
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    <fn-group>
      <fn id="fn1">
        <p>Associate Professor and Dean, College of Media and Communication, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia. Email: saalsahli@imamu.edu.sa.</p>
      </fn>
      <fn id="fn2">
        <p>Full Professor, College of Media and Communication, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia. Corresponding author. Email: Iaalnsour@imamu.edu.sa.</p>
      </fn>
      <fn id="fn3">
        <p>Associate Professor, Dean, College of Media &amp; Communication, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA. saalsahli@imamu.edu.sa.</p>
      </fn>
      <fn id="fn4">
        <p>Full Professor, College of Media &amp; Communication, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA. Corresponding Author, Iaalnsour@imamu.edu.sa.</p>
      </fn>
      <fn id="fn5">
        <p>GoF = √(R² × AVE).</p>
      </fn>
      <fn id="fn6">
        <p>Calculations of mediator effect as in Table 8.</p>
      </fn>
    </fn-group>

  </back>

</article>