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The purpose of this study is to understand the factors responsible for social media fan engagement and experience. The research study also attempts to analyze the significance of adopting digital strategies with a fan-centric approach for sports organizations.

The authors conducted 18 semi-structured interviews with managers in different sports organizations and fans of various popular sports leagues and clubs in India. The authors used a qualitative exploratory approach by applying coding and thematic analysis to arrive at findings and conclusions.

The responses led to the emergence of three major themes comprising effective planning, harnessing fan participation and boosting the quality of experience. Building on these themes, the authors recommended the “PRIME” model for sports organizations.

As this study explores the growing importance of fan engagement from the top three sports leagues in India, future researchers can focus on obtaining data from multiple countries and multiple leagues to enhance fan engagement's generalizability. Also with the growing popularity of eSports, the scope of the present study may be expanded based on eSports.

The authors' study acts as an eye-opener for managers revealing that to get active participation from fans, sports organizations will have to be active in social media initiatives. In addition to this, the authors also propose the PRIME model, which elaborates on the aspects of Planning social media programs, Regularization of content creation, increased Interaction with the fan base, Motivation through rewards and Enriching fan experience for effectively harnessing fan engagement and experience.

In the pandemic era, engaging with fans on social media can enable sports organizations to thrive. The authors suggest a “PRIME” model which can aid sports managers in effectively harnessing fan engagement and experience for the managers of sports organizations. The model can also be applied beyond the sports context in anchoring customer engagement and experience through the social media of other business organizations.

Online brand communities (OBCs) and their role in determining consumer behavior is gathering interest of theorists and practitioners. This study examines the role of OBCs in influencing the level of involvement leading to perceived sport team brand equity (STBE) of sports fans from a social exchange theory perspective. The role of self-congruity as a moderator is examined to determine the differences in the level of involvement and attachment of fans in OBCs.

Based on quantitative research and convenience sampling, data for the study were collected from 394 football fans who were existing members of OBCs. The research model is tested using partial least square structural equation modeling.

The results show a direct and significant impact of brand involvement on brand attachment. Consumer brand engagement (CBE) mediates the relationship between brand attachment and STBE. While self-congruence does moderate the effects between brand involvement and brand attachment.

The study reveals the role of community related factors on sports fans’ perceived STBE. The study also provided a novel approach to examine sport fan behavior in social media through the lens of social exchange theory. Finally, it is providing a novel approach in examining role of OBCs in influencing behavior of sports team fans towards the team and brand.

To extend research into sport consumer behaviors related to online sports betting, this study is designed to identify and examine the relationship between online sports betting motivations and online sports betting intentions. By applying a push-pull framework from online sport consumption and gambling studies, nine motivations to engage in online sports betting were identified. These motivations were hypothesized to motivate online sports betting intentions.

A quota sampling technique based on the sports bettor demographics available in the American Gaming Association (AGA, 2019) and the Pew Research Center (2022) obtained a total of 550 completed surveys that met the inclusion and exclusion criteria. For data analyses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to examine the measurement model and the hypothesized model, respectively.

The results revealed that four motivations (i.e. monetary gain, excitement, convenience and negative technology-readiness) were related to online sports betting intention, while five motivations (i.e. sport fandom, positive technology-readiness, impulsivity, socialization and promotion) were not.

The results provide foundational theoretical knowledge of what motivates sports fans to participate in online sports betting. Furthermore, the findings assist practitioners in their allocation of resources by enhancing their understanding of online sports betting motivations.

The purpose of this paper is to study the effects of sports sponsorship on brand equity using two managerially related outcomes: price premium and market share.

This study uses a best–worst discrete choice experiment (BWDCE) and compares the outcome with that of the purchase intention scale, an established probabilistic measure of purchase intention. The total sample consists of 409 fans of three soccer teams sponsored by three different competing brands: Nike, Adidas and Puma.

With sports sponsorship, fans were willing to pay more for the sponsor’s product, with the sponsoring brand obtaining the highest market share. Prominent brands generally performed better than less prominent brands. The best–worst scaling method was also 35% more accurate in predicting brand choice than a purchase intention scale.

Future research could use the same method to study other types of sponsors, such as title sponsors or other product categories.

Sponsorship managers can use this methodology to assess the return on investment in sponsorship engagement.

Prior sponsorship studies on brand equity tend to ignore market share or fans’ willingness to pay a price premium for a sponsor’s goods and services. However, these two measures are crucial in assessing the effectiveness of sponsorship. This study demonstrates how to conduct such an assessment using the BWDCE method. It provides a clearer picture of sponsorship in terms of its economic value, which is more managerially useful.

The purpose of this study is to compare measurement scales of sports fans’ motivations applied to women’s football.

A survey research approach was used to collect 574 valid responses from participants in Brazil and the USA. Three prominent scales – Sport Interest Inventory (SII), Sport Fan Motivation Scale (SFMS) and Motivation Scale for Sport Consumption (MSSC) are were compared using the structural equation modeling technique.

The results indicate that the SII scale demonstrates superior predictive power for variables such as “purchase intention,” “electronic word of mouth,” “identification as a fan” and “interest in women’s football” compared to the SFMS and MSSC scales. The primary motivation among followers and spectators of women’s football in the study was “supporting women’s opportunities” in sport.

While the study is grounded in the most relevant scales pertinent to the theme, the limited academic production on the subject hinders direct comparisons with prior research.

Leveraging the insights from the SII scale, football team managers can refine their marketing strategies by understanding the primary motivations driving women’s football consumption. This knowledge can inform targeted efforts to enhance women’s football consumption, subsequently expanding opportunities for women in the sport.

This study provides valuable information that can inform initiatives aimed at boosting women’s soccer consumption, thereby contributing to increased opportunities for women in the sport.

To the best of the authors’ knowledge, this study represents the first attempt to compare scales in the specific context of women’s soccer, contributing with a unique perspective to the development of women’s sports.

This study aims to explore the impact of athlete brand image on fans’ social media engagement, purchase intentions, and also examines the mediating role of emotional attachment on these relationships, as well as the moderating role of perceived price value between emotional attachment and purchase intentions.

The data are based on an online survey conducted in China (N = 572). The PLS-SEM (partial least squares structural equation model) and regression-based estimation method (PROCESS) are employed to test the hypotheses.

The results indicate a positive relationship between athletes’ athletic performance and fans’ social media engagement as well as purchase intentions. The impact of athletes’ attractive appearance and marketable lifestyle on fans’ purchase intentions is sequentially mediated by emotional attachment and social media engagement. Moreover, the mediation effect of athletes’ off-field image and purchase intentions is contingent upon fans’ perceived price value.

Athletes and marketers could integrate and leverage both the on-field and off-field attributes to cultivate emotional connections with fans. Sports organizations and managers need to pay attention to fans’ social media engagement and provide content that increases engagement and converts into transactional behavioural intentions.

The study provides empirical evidence of the mediating role of emotional attachment between athlete brand image and fans’ purchase intentions. The explanatory mechanisms involving emotional attachment and social media engagement (non-transactional behavioural intentions) are anticipated to be a noteworthy addition to the traditional fan transactional behavioural intentions framework. Moreover, the research introduces and confirms perceived price value as a crucial moderating factor influencing the relationship between emotional attachment and purchase intentions.

This study aims to identify how the use of digital technology for performance and commercial aspects of action sports can both create and destruct value.

Exploratory research based on 30 interviews with coaches, athletes, judges, federations, fans and sponsoring organizations from Europe, across five action sport disciplines that are included in the Olympic program.

Value creation of digital technology use related to the performance aspect of action sports fall into two categories: performance enhancement and performance evaluation. Value creation related to the commercialization aspect of action sports relate to specific technologies, in particular a video streaming and a centralized data and engagement platform, as well as to possibilities for betting and making sponsoring more measurable. Notably, such value creation opportunities are also accompanied by possible value destruction, as they interfere with the ethos of action sports (i.e. the unique nature and special culture).

Drawing from service-dominant logic and adopting the value creation/destruction lens, this paper is the first to study how digitalization in the areas of performance and commercialization may further intensify tensions related to the ethos of action sports. Our approach is inclusive in terms of the types of digital technologies, action sport disciplines and stakeholders considered.

The motivation for this paper is to provide a deeper understanding of some of the important and trending topics in the sport industry. Besides this, to consider the changing landscape of ownership, strategies and organisation of several types of sports in the contemporary environment, there is a need for deeper contextual knowledge of how different sport/s, leagues, clubs, associations, teams etc. own, organise and strategise at local to national to regional to international contexts.

This paper introduces the special issue on the sport industry that welcomes three interesting contributions of focusing on the important themes related to the sport industry. They include (1) digital transformation and needed capabilities, (2) fan engagement in a digital way using social media and finally (3) the relevance and relation of social capital in the organisational strategy of sports organisations.

Four generic insights related to the themes and emerging trends in marketisation, ownership and digitalisation strategies in the sport industry are introduced in this paper. The first insight is that sports digitalisation and politicisation significantly impact the strategising, organising and networking activities of sports owners to foster value capture. Secondly, owners’ performance duality of marketisation of their sports clubs and vested business interests unravels the paradoxes of idealism and profit-maximisation. Thirdly, individual sports stars position themselves as an influential platform of value creation through on-field performance, social engagement and self-interests. Finally, the fourth insight is that the dual aims of sporting on-field success and profit making of large capital-funded sports clubs endanger the autonomy and governance of sports bodies/associations and an equitable sporting competition environment.

This paper provides an overview and reflections on the contributions of the papers in this special issue. The papers give different perspectives on how sport has been influenced by the development in society (1) with increasing digitalisation influencing organising of sport clubs and strategies for engaging fans, and (2) the influence of marketisation and politics in ownership strategies. As such, four insightful reflections are developed based on the originality of the contributions and the related extant literature presented on the themes of marketisation, ownership and digitalisation of the sport industry.

The purpose of this study is to identify which dimensions of perceived value best mediate football club branding and fan loyalty from a developing league perspective.

Using a cross-sectional design, we collected data using questionnaires from football fans in Ghana (N = 700). The data were analysed using SmartPLS V3, applying structural equation modelling with bootstrapping procedure.

The results indicate that club branding is an effective precursor of fan loyalty. Moreover, the findings suggest that functional, social and emotional values mediated club branding and fan loyalty, whereas epistemic and economic values did not.

This study contributes to sports management literature by identifying the dimensions of perceived value that will be relevant in the development of club brands in the developing league context.

This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.

This study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

The RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.

This study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.