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With the advance of Web 3.0 and the range of sensory experiences offered by virtual reality (VR) to sport fans, this study examines how VR spectators’ sensory experiences affect their intentions to consume VR products and services. For this purpose, the study puts forth an expanded stimulus-organism-response (S-O-R) model. In this framework, the stimuli are the sensory imagery and stimuli, the organism factors are presence and arousal and the response is the consumption intention. This model adeptly encapsulates the comprehensive process of stimuli while spectating a sporting event in a virtual environment.

For a VR stimulus, researchers developed a 3-min collegiate women’s volleyball game. Watching the game in VR were 131 collegiate students, who were then questioned about their visual and aural imagination of the game stimuli, perceived visual and aural stimuli, sense of presence, arousal and VR consumption intentions. To ensure the validity and reliability of the measurement model, confirmatory factor analysis was first conducted. Subsequently, the model was subjected to path analysis.

The measurement model demonstrated both validity and reliability. The subsequent path analysis yielded the model’s satisfactory fit. In particular, the mental visualization of VR spectators significantly influenced their perception of visual stimuli, while their imaginative engagement with auditory aspects impacted their perception of aural stimuli. The observed visual stimuli positively impacted the degree of presence experienced and the level of arousal induced. Similarly, the auditory stimuli exerted comparable effects on presence and arousal. The sense of arousal exhibited a considerable influence on the sense of presence. Furthermore, arousal emerged as a substantial determinant of individuals' VR consumption intentions.

The study highlights that the affective status of VR sport spectators is dominant in determining their consumption intentions. Also, the study finds the decisive role of presence in processing sensory stimuli in virtual sport spectating. It also provides managerial insight into designing and customizing VR sport experiences to be more enjoyable and impactful.

Despite the fact this is already known over how sports spectators interpret sponsorship content, less is known about participants’ sentiments toward sponsors, which are sometimes crucial to the survival of participation sporting events. Various researchers have examined at how spectators recognize or recall sponsors, but very few have explored it from the viewpoint of sport participants. This research portrays a shift in focus from spectator-based to participant-based marketing by studying the differences over how participants and spectators perceive sport sponsorship, recognizing the current knowledge gap regarding the process of sponsorship in participant-based sports. Sponsorship previous research has focused on the effectiveness of sport sponsorships utilizing variables such sponsor recognition, desire to sponsors’ products and anticipated sponsorship advantages (Koronios and Dimitropoulos, 2020). The examination of sport sponsorship from the standpoint of the sport spectator is something that many of the past studies have in common. The application of past research analysing sport sponsorship from a distinct perspective: that of the sport participant, distinguishes the present study. In addition, the present study explores the distinctions in sponsorship effectiveness between spectators and participants, a topic which hasn't been addressed at before in sponsorship literature.

This study depicts a move away from spectator-based to participant-based marketing, utilizing contemporary implicit physiological variables to measure participants’ and spectators’ awareness of and attitude toward sponsors, and it proposes a model of their purchase intentions toward real sponsors of a martial event. A total of 1,332 questionnaires were collected and analysed.

Factors such as sport involvement, social media use, sincerity and beliefs of sponsorship were found to have a significant effect on purchase intention of spectators and participants. And crucial differences in the significance of various antecedent factors between spectators and participants were detected in the formation of positive purchase and word-of-mouth intentions.

This paper gives prominence to contemporary methodological advances in the field of implicit social cognition and their relevance to sponsorship. This is the first sponsorship research which examines the effectiveness of sponsorship variables under the implicit–explicit variables dichotomy.

Sport events’ contribution to the destinations’ local economy implies in-depth knowledge of the economic benefits generated by non-resident spectators (NRS). Thus, this study aims to answer: What is the profile and shaping factors of the consumption patterns of the several types of NRS in international surf tourism events?

A total of 263 questionnaires applied to the NRS of an international surf event were collected and analysed. The identification of the NRS profile and the predictive factors of their total expenditure were performed through the correlation of factors and multiple linear regression, respectively.

Mostly, the event attracted generation Y NRS, with a high level of education and regular sport practice. The results showed differences among the NRS: the “casuals” included more women than men; the “extensioners” integrated the NRS whose surfing practice is higher; the “event visitors”/”time switchers” mostly integrated the domestic tourism flows; the “casuals” and “extensioners” spent the most at the destination, and those whose intention to recommend/revisit the destination, respectively, was higher; and the shaping factor that most influenced the increase in NRS expenditure was the overnight stay, added by older age, higher education level and foreign origin.

Regardless of the initial motivation that led to the trip to the destination, the results verified that the event’s attributes are capable of contributing to the recommendation/visitation of the destination. Consequently, the study of economic benefits (tangible and intangible) provided by sport events in destinations should be guided by an integrative analysis of NRS.

The purpose of this study was to examine the mediating effect of three coping strategies (i.e. active, expressive, and denial coping) in the relationships between service failures (i.e. high- and low-contact service failures) and negative behavioral intentions (i.e. switching intention).

The critical incident technique (CIT) was used to identify the conceptually categorized service failure types in the fitness industry, and then confirmatory factor analysis (CFA) and structural equation modeling (SEM) were performed to examine the mediating effect of coping strategies among high-contact service failure and switching intention (study 1) and the mediating effect of coping strategies among low-contact service failure and switching intention (study 2).

While the mediating effect of coping strategies was significant in the relationship between high-contact service failures (study 1) and negative behaviors (i.e. switching intention and complaints), it was not significant in the relationship between low-contact service failures (study 2) and switching intention. Out of the three coping strategies, the impact of active coping was significant.

This study extends the understanding of the mediating effect of coping strategies in the relation between high- and low-contact service failures and switching intention.

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.

Traditional sports have seen declining participation at many levels, with football being no different. This is occurring at a time when emergent technologies present new challenges, particularly to the crucial yet ignored cohort of millennials. Without meeting the needs of millennials, football cannot be successful in the future. This research seeks to understand how millennial football fandom (sport, not team) in Australia impacts football participation, whilst empirically examining the impact of football video games (FVGs).

Survey data are collected from online groups, forums and social media pages of Australian football (soccer) fans. Quantitative analysis of millennial fandom and its influence on football participation (for the first time demarcated into play and engagement) is undertaken, including the moderating influence of time spent playing FVGs, amidst covariate influences of age and number of children.

Results highlight the multi-dimensionality of millennial football fandom in Australia, reveal the typical hours spent playing football across a range of participation types (including play and engagement), support fan involvement’s influence on engagement with football, establish that a desire to interact with other football fans manifests in playing more football, specify how playing FVGs moderates these relationships, supports the covariate influences of age and evidences that playing FVGs does not hamper football play.

This is the first study to examine millennial fans of football (the sport, not tied to a club) and the influence of fandom on football participation. By separating football participation into two forms, play and engagement, we highlight discrete influences, whilst evaluating for the first time the moderating influence of the time millennials spend playing FVGs. For sport managers and administrators, these are important findings to facilitate better segmentation, recruitment, retention and participation, each with broader societal health benefits. This is undertaken in Australia where football is not a dominant code, relegating fandom to a niche, thus revealing important findings for sports and business management.

The study aims to provide a reference for market segmentation in a relatively new market. Esports consumer profiles are developed based on consumption motives, structural factors, game genres, interests, demographics and behavioral intentions. It delivers managerial advice for a growing esports market.

A quantitative approach using an online survey was implemented to identify homogenous groups. The study employed the Motivation Scale for Sports Consumption (MSSC) to investigate the consumption motives of esports consumers. A two-step market segmentation was conducted based on the motives, applying hierarchical clustering. Moreover, descriptor variables were used to create distinct esports consumer profiles.

This research divides the esports market into four clusters based on MSSC, which is new and relevant in a constantly changing environment. The clusters are named Low Intention Novices, Leisure Warriors, Socializing Learners and Dedicated Enthusiasts.

This adds to the limited literature on esports market segmentation and highlights the theoretical and practical implications of the findings.

Although many attempts to discover key segments of sport spectators have been extant, little segmentation effort has been made to reflect pandemic situations such as the COVID-19 pandemic. The purpose of this research is twofold: (1) to classify sport spectators into key segments based on perceived risks associated with a mass-gathered sporting event during the COVID-19 pandemic and (2) to identify each segment’s profiles.

Questionnaire surveys of spectators attending a Japanese rugby game during the COVID-19 pandemic (January–June 2021) were conducted (n = 1,410). A combination of hierarchical and non-hierarchical clustering methods was executed.

The results revealed the five-cluster solution as the optimal number of clusters representing the samples (i.e. spectators with extremely low-risk perception, those with low-risk perception, those with moderate-risk perception, those with high-risk perception and those with higher social risk perception). This five-cluster solution showed sufficient stability and validity. Moreover, each segment had different profiles regarding three background aspects – demographics, psychographics and behavioral variables.

This study is the first effort to segment sport spectators based on perceived risks associated with a mass-gathered sporting event in the pandemic situation. Despite extensive segmentation studies to explore sport fans, contribution reflecting the post-crisis situations is scant. Therefore, the findings provide insight into this realm by providing a new viewpoint for understanding sport spectators during a possible future pandemic era.

Despite fast developments in esports sponsorship, limited research exists in the area of sponsorship evaluation in the esports context. The purpose of the present study was to test the relationships among esports involvement, sponsorship perceived fit and viewers’ intention to buy the sponsor’s products, and examine the degree to which perceived fit mediates the relationship between the involvement dimensions and intention.

The study draws on the theoretical model of sponsorship effects proposed by Wakefield et al. (2020) and obtained quantitative data from sampling esports viewers (n = 285). Statistical analysis was carried out in three steps. Beyond the descriptive statistics, confirmatory factor analysis (CFA) was conducted to assess the goodness of fit of the measurement model. The mediation analysis was performed at the end of the study.

The results supported the impact of one of the esports involvement dimensions (i.e. self-expression) on both perceived fit and esports viewers’ intentions to buy sponsors’ products. Involvement (self-expression) was found to have both direct and indirect relationships, through perceived fit, on purchase intentions. The study provided support for the associations among esports involvement dimensions, sponsorship perceived fit and purchase intentions.

The practitioners should first consider the involvement profile of esports viewers. The more involved viewers will be more likely to have positive perceptions about the fit between the esports tournament and the sponsor.

It is the first study to test a sponsorship evaluation model in the context of esports users. It does so by including a more detailed measurement of involvement (with three-dimensions) in the hypothesized model.

This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and additionally adopted streamer identification and esports game identification as moderating variables.

Data were collected from streamers' esports content streaming viewers over 18 years of age using an online survey in Amazon M-Turk (N = 307). Based on past esports live-streaming weekly watching hours, which range from 1 to 45 h, the participants were divided into lower (n = 152) and higher (n = 155) frequency groups. PLS-SEM and bootstrapping techniques were used to test the moderated mediation relationships among the constructs.

This study found a negative moderating effect of past watching experience on the relationship between attitudes and behavioral intention, and it positively moderated the path between perceived behavioral control and behavioral intention. Also, it was found statistically significant direct impacts of streamer identification (STI) and esports game identification (EGI) on attitude and subjective norms. While the indirect impact of STI on behavioral intention through attitude was statistically significant, there were no significant indirect impacts of EGI on attitude and behavioral intention through subjective norms.

Theoretically, this study extends the TPB model by exploring the two identifications (i.e. streamers and esports games) as antecedents of the focal TPB factors (i.e. attitudes, subjective norms and perceived behavioral control) and the moderating effect of prior experience based on high/low weekly watching frequencies. Practically, content creators of esports live-streaming and live-streaming platform managers can use the study’s findings to develop strategies to nurture their current and future viewership.