What is eSports and why do people watch it
TL;DR: In this article, the authors investigate why people spectate eSports on the internet and find that escapism, acquiring knowledge about the games being played, novelty and eSports athlete aggressiveness positively predict eSport spectating frequency.
Abstract: The purpose of this paper is to investigate why do people spectate eSports on the internet. The authors define eSports (electronic sports) as “a form of sports where the primary aspects of the sport are facilitated by electronic systems; the input of players and teams as well as the output of the eSports system are mediated by human-computer interfaces.” In more practical terms, eSports refer to competitive video gaming (broadcasted on the internet).,The study employs the motivations scale for sports consumption which is one of the most widely applied measurement instruments for sports consumption in general. The questionnaire was designed and pre-tested before distributing to target respondents (n=888). The reliability and validity of the instrument both met the commonly accepted guidelines. The model was assessed first by examining its measurement model and then the structural model.,The results indicate that escapism, acquiring knowledge about the games being played, novelty and eSports athlete aggressiveness were found to positively predict eSport spectating frequency.,During recent years, eSports (electronic sports) and video game streaming have become rapidly growing forms of new media in the internet driven by the growing provenance of (online) games and online broadcasting technologies. Today, hundreds of millions of people spectate eSports. The present investigation presents a large study on gratification-related determinants of why people spectate eSports on the internet. Moreover, the study proposes a definition for eSports and further discusses how eSports can be seen as a form of sports.
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TL;DR: The authors conducted a meta-analysis of 30 independent interventions (3,202 participants) drawn from 24 quantitative studies that have examined the effects of gamification on student academic performance in various educational settings.
193 citations
TL;DR: It is suggested that future research should focus on esport players’ psychological vulnerability because some studies have begun to investigate the difference between problematic and professional gambling and this might provide insights into whether the playing of esports could also be potentially problematic for some players.
Abstract: Recently, the skill involved in playing and mastering video games has led to the professionalization of the activity in the form of 'esports' (electronic sports). The aim of the present paper was to review the main topics of psychological interest about esports and then to examine the similarities of esports to professional and problem gambling. As a result of a systematic literature search, eight studies were identified that had investigated three topics: (1) the process of becoming an esport player, (2) the characteristics of esport players such as mental skills and motivations, and (3) the motivations of esport spectators. These findings draw attention to the new research field of professional video game playing and provides some preliminary insight into the psychology of esports players. The paper also examines the similarities between esport players and professional gamblers (and more specifically poker players). It is suggested that future research should focus on esport players' psychological vulnerability because some studies have begun to investigate the difference between problematic and professional gambling and this might provide insights into whether the playing of esports could also be potentially problematic for some players.
159 citations
TL;DR: In this paper, the amount of academic research focused on organized, competitive games has grown rapidly, and from 2002 through March 2018, esports research has developed rapidly in the academic literature.
Abstract: Accompanying esports’ explosion in popularity, the amount of academic research focused on organized, competitive gaming has grown rapidly. From 2002 through March 2018, esports research has develop...
150 citations
TL;DR: The results of this study demonstrate that the medium is the message, highlight the importance of archetypal structure, and help to build a better understanding of user generated content and the democratization of media.
136 citations
TL;DR: Support is found for a structural model whereby the severity of depression and social anxiety accounted for variance in rumination, which in turn correlated with problematic smartphone use.
Abstract: Purpose
Previous research has found support for depression and anxiety severity in association with both increased and problematic smartphone use. However, little research has explored transdiagnostic psychopathology constructs as mediators that may account for these relationships. The purpose of this paper is to test rumination as a possible transdiagnostic (cross-sectional) mediator in these relationships.
Design/methodology/approach
The authors recruited 296 college students to complete relevant web survey measures, including the patient health questionnaire-9 (for depression severity), social interaction anxiety scale (for social anxiety severity), ruminative thought styles questionnaire, smartphone addiction scale-short version (to measure levels of problematic smartphone use), and a measure of smartphone use frequency.
Findings
The authors found support for a structural model whereby the severity of depression and social anxiety accounted for variance in rumination, which, in turn, correlated with problematic smartphone use levels. Rumination accounted for relations between both depression and social anxiety severity with levels of problematic use.
Originality/value
The authors discuss the role of rumination as a possible mechanism between anxiety- and depression-related psychopathology levels with problematic smartphone use severity. This study is unique in exploring rumination in the context of problematic smartphone use.
130 citations
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TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...
56,555 citations
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Abstract: In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.
34,720 citations
TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
Abstract: Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
21,880 citations
01 Jan 1998
10,147 citations
TL;DR: A new latent variable modeling approach is provided that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships.
Abstract: The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory (cf. McKeen et al. 1994, Weill and Olson 1989). In our survey of such studies, the majority failed to either detect or provide an estimate of the effect size. In cases where effect sizes are estimated, the numbers are generally small. These results have led some researchers to question both the usefulness of contingency theory and the need to detect interaction effects (e.g., Weill and Olson 1989). This paper addresses this issue by providing a new latent variable modeling approach that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships. The capacity of this approach at recovering true effects in comparison to summated regression is demonstrated in a Monte Carlo study that creates a simulated data set in which the underlying true effects are known. Analysis of a second, empirical data set is included to demonstrate the technique's use within IS theory. In this second analysis, substantial direct and interaction effects of enjoyment on electronic-mail adoption are shown to exist.
5,639 citations