From viewing to participation: a study on the mechanisms underlying consumption behavior among sports streaming audiences

Driven by aggressive national strategies to build a sports powerhouse alongside rapid advancements in digital infrastructure, China’s sports broadcasting market has experienced unprecedented growth over the past decade. Backed by government initiatives such as the State Council’s landmark 2014 guidelines on accelerating the sports industry and promoting sports consumption, the sector has transformed into a critical driver of national economic development. Despite this macro-level expansion, academic literature has historically lacked a systematic exploration of the psychological mechanisms that propel audiences from passive viewers to active, participatory consumers. To bridge this gap, a comprehensive study conducted by researchers Ziqi Wang, Sen Chen, and Feng Zhai has unveiled the complex cognitive, emotional, and social pathways that convert sports viewership into tangible economic participation.

The study, published in Frontiers in Psychology, utilizes a management psychology framework to investigate how viewing motivation translates into consumer behavior within the booming digital streaming landscape. According to the General Administration of Sport of China, the nation’s sports streaming user base surpassed 500 million individuals, accelerated by the widespread commercial integration of 5G connectivity, ultra-high-definition video codecs, and virtual reality formatting. This technological evolution has fundamentally altered traditional media consumption habits, giving birth to emerging commercial channels such as real-time stream tipping, digital memberships, premium pay-per-view packages, and virtual fan community merchandise trading.

Investigating the Psychological Underpinnings of Sports Consumption

To understand how a fan transitions from watching a live soccer, basketball, or esports broadcast to opening their wallet, the research team constructed and tested a sequential mediation model. This theoretical framework integrated Self-Determination Theory, the Stimulus-Organism-Response (S-O-R) paradigm, Social Identity Theory, and Cognitive-Affective System Theory. The investigation sought to evaluate the direct and indirect relationships among Motivation for Watching Sports Events, positive Emotional Responses, Psychological Belonging, and ultimate Consumption Behavior.

Data collection took place between December 2025 and March 2026 utilizing online convenience and snowball sampling methodologies via platforms such as Wenjuanxing, Weibo, Douban, and WeChat. Researchers deployed stringent screening criteria to ensure data relevance, specifically targeting Chinese fans who had actively watched live sports broadcasts within the preceding six months. Out of 612 initial submissions, 563 valid questionnaires survived rigorous data cleaning protocols—eliminating responses completed in under 150 seconds, those exhibiting repetitive patterns, and failed attention checks—yielding a high valid response rate of 92.0 percent.

The demographic profile of the analyzed sample demonstrated a balanced gender distribution, comprising 50.3% male respondents (N = 317) and 49.7% female respondents (N = 246). The participant pool leaned heavily toward young and middle-aged adults, with individuals aged 18 to 25 accounting for 37.3%, those aged 26 to 35 making up 29.0%, and participants aged 36 and older representing 33.7%. Furthermore, 62.7% of respondents held a bachelor’s degree or higher, and 65.4% reported watching live sports broadcasts at least once per week, establishing the cohort as an actively engaged segment of the broader Chinese sports streaming population.

Empirical Findings and Sequential Mediation Pathways

Data analysis performed using SPSS 26.0 and AMOS 24.0 software, alongside PROCESS macro Model 6 and 5,000 bootstrap resamples, revealed compelling statistical evidence supporting the proposed cognitive-emotional-identity-behavior framework.

The empirical results demonstrated that Motivation for Watching Sports Events possessed a strong direct association with Consumption Behavior (β = 0.575, p < 0.001). However, the influence of viewing motivation extended far beyond a direct link, operating significantly through individual psychological mediators. Specifically, positive emotional responses and psychological belonging acted as vital psychological bridges. The indirect effect through emotional responses accounted for an effect size of 0.114, while the indirect path through psychological belonging registered an effect size of 0.088.

Crucially, the study validated a sequential mediation pathway running from Motivation for Watching Sports Events through Emotional Responses, subsequently through Psychological Belonging, and ultimately to Consumption Behavior, yielding a significant indirect effect size of 0.032 (95% bootstrap CI [0.010, 0.061]). This sequential model proves that intense positive emotional experiences—such as the excitement and enthusiasm generated by unpredictable game dynamics—fortify a viewer’s sense of community belonging and group identity, which subsequently sparks concrete economic expenditures like buying authentic team jerseys, purchasing event tickets, or financially supporting streamers.

Methodological Rigor and Validity Controls

Given that all four core constructs were gathered simultaneously via self-report measures, the researchers implemented extensive procedural and statistical remedies to mitigate common method variance (CMV). Procedurally, the questionnaire utilized varying scale anchors and separated predictor and criterion variables across non-adjacent sections while guaranteeing absolute respondent anonymity.

Statistically, Harman’s single-factor test revealed that the first unrotated factor accounted for 38.42% of the total variance, falling safely below the conventional 50% threshold. Supplementary evaluations using a common latent factor model in AMOS confirmed that common method bias did not substantially distort parameter estimates. Measurement model diagnostics established robust convergent and discriminant validity: Composite Reliability (CR) values ranged from 0.869 to 0.937, all Average Variance Extracted (AVE) metrics exceeded the 0.50 benchmark (ranging from 0.575 to 0.682), and heterotrait-monotrait (HTMT) ratios remained strictly below the conservative threshold of 0.85.

Industry Implications and Future Research Directions

The implications of these findings extend far beyond academic theory, offering actionable strategic insights for sports organizations, streaming platforms, franchise marketers, and digital content creators. By demonstrating that sports consumption is deeply intertwined with emotional arousal and social identification, industry stakeholders can move away from transactional marketing toward community-centric engagement models. Broadcasters can enhance monetization potential by designing interactive features—such as real-time commenting, virtual gifting ecosystems, and community-building forums—that intentionally cultivate positive emotional contagion and a robust sense of psychological belonging among digital spectators.

Nevertheless, the study’s authors acknowledged several limitations that outline avenues for future research. The reliance on online convenience and snowball sampling, alongside a predominantly young, highly educated cohort, restricts the immediate generalizability of the findings to the entire demographic spectrum of sports consumers. Furthermore, the cross-sectional research design precludes definitive causal inferences, signaling the need for longitudinal or experimental methodologies to track behavioral transitions over time. Future investigations would also benefit from differentiating between specific sports categories—such as traditional physical sports versus burgeoning esports ecosystems—and examining the distinct economic impacts of negative emotional states alongside positive affect.