Previous studies have paid little attention to spectators’ consumption behaviors and motives for watching different types of esports live-streaming and game genres. This study, therefore, investigates spectator motives and consumption behaviors based on the interaction effects of live-streaming types and game genres. Convenience sampling was conducted to collect 312 responses from Taiwanese individuals via the Professional Technology Temple. The measurement tools include the motivation scale for sport consumption, esports streaming consumption behaviors, and two moderators (i.e., game genres and live-streaming types). The moderating effects were examined using the PROCESS macro. The results showed that esports spectating motives and consumption behaviors are determined by different types of live-streaming and game genres. A matrix of esports spectator segments was developed to illustrate the findings and managerial implications. The study’s findings broaden our understanding of esports consumption behaviors and can contribute to the fast-growing esports marketing literature. In addition, the results are expected to help practitioners better segment their consumer groups to develop more tailored marketing programs.

This study examined the effect of prior experience with esports gameplay on its antecedents and consequences. Prior experience is considered a significant factor in consumers’ intention and behavior, and in gameplay engagement it is considered the amount of gameplay time. While esports consumers are heterogeneous, only a few esports studies have been conducted. Thus, this study focused on prior esports gameplay experience to explain consumers’ behavior better and examine antecedents, esports gameplay intention, and live esports streaming content across two groups (i.e., high and low frequencies of esports gameplay). Data were collected via an online survey in Amazon Mechanical Turk (M-Turk) from esports consumers who engaged in esports gameplay and live-streaming. One-third of the median cases were excluded to create two groups designated by weekly esports gameplay hours. The results revealed different patterns in the two groups. Specifically, esports gameplay had no effect on engagement in live esports streaming content for consumers who played esport games frequently. However, gameplay intention predicted live esports streaming content engagement successfully in the group who played infrequently. These findings contributed to (1) esports research by demonstrating consumers’ heterogeneity, and the (2) extension of technology acceptance and use research in esports engagement by identifying the role of prior gameplay experience.

Purpose: The tremendous market growth of mobile platforms for esports underscores the need to understand players' psychological states and consumption behavior. Based on flow theory, this study examines players' psychological states (flow and clutch experiences) and consumption behavior based on the interaction effects of playing frequency, playing duration and players' levels on the PC (LOL – League of Legends) and mobile (LOLWR – League of Legends: Wild Rift) versions of the same esports title.Design/methodology/approach: Data were collected from 930 valid responses and analyzed with confirmatory factor analysis and multiple regression (PROCESS macro, Model 3).Findings: There are two main findings. First, across PC and mobile participants, casual gamers (low playing frequency and duration) have firm purchase intention when they have a clutch experience, but flow experience hinders their purchasing intention. Second, hardcore gamers' (high playing frequency and duration) psychological states are clearly distinguished according to technological platforms. Flow experience is the most effective for their purchase intention in the PC platform, but both flow and clutch states are important in the mobile platform. Flow experience is essential overall for hardcore gamers to intend their in-game item purchasing.Originality/value: This study has two primary originality/values. First, this study explores flow and clutch together to measure psychological states and the impact on the purchase intention of in-game items. Second, the interacting effects of playing frequency, duration, and skill level with technical platforms (i.e. PC and mobile) for esports gaming.

Purpose: While each genre and gender has been revealed as significant moderators for esports gameplay intention, exploring the interaction effects between genre and gender could broaden our understanding of the drivers’ relative effects on esports gameplay intention. Thus, the purpose of this study is to examine the interaction effects of gender and genre in the relationship between esports gameplay intention and its drivers (i.e. hedonic motivation, habit, price value, effort expectancy, social influence and flow).Design/methodology/approach: The hypothesized model was examined using data from a sample (N = 1,194). For the purposes of data analysis, confirmatory factor analysis and structural equation modeling were used to examine the hypothesized model. Then, a series of structural invariance tests were conducted to compare the interrelationship between the six determinants and esports gameplay for the six-group model.Findings: The results of the six-group model comparison indicated that the interaction between gender and genre moderates the relationship between drivers and esports gameplay intention. In particular, the following moderation effects were observed: (1) “social influence-esports gameplay intention” between “male-physical enactment” and “female-physical enactment”; (2) “habit-esports gameplay intention” and (3) “effort expectancy-esports gameplay intention” between “female-imagination” and “female-physical enactment”; (4) “hedonic motivation-esports gameplay intention” and (5) “effort expectancy-esports gameplay intention” between “female-physical enactment” and “female-sport simulation.”Originality/value: The findings of this current study contributed to clarifying the genre and gender effects in esports gameplay intention and thus the extension of the Esports Consumption (ESC) model (Jang et al., 2020a) and the technology adoption literature. Since the ESC model grounded the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), the improvement of the ESC model extended UTAUT2. In consumer behavior research in the esports context, this current study contributed to the extension of UTAUT2 on the new moderating mechanisms by adding the interaction between gender and esports game genre.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Originality/value: 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.

This study aimed to identify subgroups of esports players based on their gaming behavior patterns across game genres and compare self-efficacy, social efficacy, loneliness and three dimensions of quality of life between these subgroups. 324 participants were recruited from prolific academic to complete an online survey. We employed latent profile analysis (LPA) to identify subgroups of esports players based on their behavioral patterns across genres. Additionally, a one-way multivariate analysis of covariance (MANCOVA) was conducted to test the association between cluster memberships and development and well-being outcomes, controlling for age and gender as covariates. LPA analysis identified five clusters (two single-genre gamer groups, two multigenre gamer groups and one all-genre gamer group). Univariate analyses indicated the significant effect of the clusters on social efficacy, psychological health and social health. Pairwise comparisons highlighted the salience of the physical enactment-plus-sport simulation genre group in these outcomes. This study contributes to the understanding of the development and well-being benefits experienced by various esports consumers, as well as the role of specific gameplay in facilitating targeted outcomes among these consumer groups.