The growth of OTT internet and mobile video streaming services is a major development in consumption of global media sport. The online streaming of sporting events has become the important way of copyrights holders to engage sport fans, especially young fans. The most popular live streaming platforms in South Korea, such as NAVER and Africa TV are intervening in coverage rights markets and changing how live sport is experienced and shared across television, computer, tablet and smartphone screens. At the FIFA World Cup Qatar 2022, NAVER's live streaming service reached 121,173,945 cumulative viewers in 64 matches, including the opening ceremony and the final between France and Argentina. Based on suspense theory, this study aimed to examine the factors that influence sport fans’ watching intention to stream online sport. The current study collected the number of cumulative viewers of live streaming from NAVER and Africa TV, for the matches broadcasted across the KBS, MBC, and SBS, a total of 64 matches in the FIFA World Cup Qatar 2022. The results suggest that a measure of the unfolding nature of suspense is a stronger predictor of watching intention than those used previously. The additional measures of suspense that take into account the unfolding events of the contest will be stronger predictors of watching intention than either disposition toward the winning team or closeness of final score.

This study investigated which factors impact esports viewership for League of Legends matches through Live and highLight streaming video. This research anaLyzed League of Legends viewership factors' differences between the three Leagues (LCK, LCS, and LEC) where viewership factors infLuence esports viewership demand through LOL’s Live and highLight streaming video. League of Legends not onLy has the highest audience among different various esports, aLso has formed a huge market from diverse countries. In order to soLve each League's unbaLance viewership trend issue between the three Leagues, and facing worLdwide viewership decrease, this study examined viewership impact factors from three Leagues with the highest viewership ratings: Korea's LCK, North America's LCS, and Europe's LEC. After that, differences in viewership impact factors for the research were anaLyzed and compared to each League. SpecificaLLy, this study investigated which factors impact esports viewership for League of Legends (LOL) matches. Data (N=1581) of reguLar season matches from the LCK, LCS, and LEC Leagues (2020 spring to 2021 summer) were coLLected and anaLyzed. This study anaLyzed the average number of visitors per minute of Twitch Live streaming and the number of views on YouTube highLights. Five main viewership factors(the uncertainty of match, consumer preferences, match importance, team attributes, match content, and controL variabLes), and seventeen independent variabLes were verified by muLtipLe regression anaLysis using STATA 15. As a resuLt of the anaLysis, the modeL with the number of reaL-time audience as the dependent variabLe demonstrated different trends between Leagues in terms of the uncertainty of match factors (rank difference, win rate difference, goLd difference, kiLL difference, object difference), and consumer preference factors(fan, operating period of both teams, number of worLd championship wins, the number of championship semifinaL advances). WhiLe the match importance factors(week, top-rank matches) and match content factors (the sum of kiLLs, the sum of assists, the sum of objects) indicated somewhat simiLar tendencies between Leagues. In the modeL with the number of highLights views as the dependent variabLe, consumer preference factors and match importance factors tended to be somewhat simiLar, but match content factors prone to be sLightLy different between Leagues. In addition, the uncertainty of the match factors did not show a significant infLuence across the three Leagues. Findings from this research expand and appLy the variabLes derived from the demand determination theory of traditionaL sports to e-sports demand research. This study heLps stakehoLders understand various esports cuLtures from different regions. Furthermore, it is meaningfuL in that it provides information that wiLL contribute to the growth of the entire League of Legends market through baLanced deveLopment between Leagues.

The popularity of live streaming is driving the emergence of a new business model, known as live-streaming commerce (LSC). While there are more and more broadcasters in LSC, their behaviors and performance of them are significantly different. To have a better understanding of broadcasters, we employ different machine learning models to identify different portraits in both static and dynamic dimensions. We collect a rich live-streaming dataset from one leading platform in China. Our dataset features information for both broadcasters and viewers, including viewers’ purchasing behaviors, viewers’ records of posting words, broadcasters’ gender, the number of followers for broadcasters, and the live streaming show information, including the start and end time, and the viewers in each live streaming show. The rich textual information in broadcasters’ profile induction provides us a good opportunity to uncover different static portraits and the records in live streaming shows give us a chance to identify different dynamic behavioral portraits for broadcasters.

The popularity of live streaming is driving the emergence of a new business model, known as live-streaming commerce (LSC). Consumers spend more and more time on smartphones, and the emerging business model of live-streaming commerce (LSC) is flourishing in the retail industry. With highly interactive features, LSC social interactions influence viewer purchase behaviors. To examine the interactions between influencers and viewers, we collected a rich dataset from a leading LSC service platform and integrated research models from the natural language process (NLP) field and econometric models.

With the popularity of live streaming commerce, the characteristics of streamers and products subtly influence consumer behavior through visual live streaming form. Based on dual-process theory, this paper develops a comprehensive theoretical model to examine how consumer perceived streamer characteristics and product characteristics influence streamer attractiveness and product attractiveness, and explore how consumer behavior inertia is affected by streamer attractiveness and product attractiveness. An online survey consisting of 300 participants was recruited to empirically examine the proposed research model. The results indicated that consumer perceived streamer characteristics and product characteristics are important factors affecting the streamer attractiveness and product attractiveness, which in turn positively affect consumer’s shopping experience memory, which further influence consumer behavior inertia. In addition, the moderating effects of mindfulness are also examined.

In recent years, with its amazing online interactive promotion ability, e-commerce live streaming has attracted the attention of theoretical scholars and practical experts. This study takes “co-presence (CP) ” and “social presence (SP) ”, which are the prominent features of e-commerce live streaming, as the breakthrough point to explore the mechanism of the influence of co-presence and social presence on purchase intention. In this study, consumers with e-commerce live streaming watching experience are taken as participants, and the method of structural equation modeling is used. It is found that: presence significantly impacts flow experience and consumer purchase intention, while the impact of the two kinds of presence (SP, CP) is variable. the promotion effect of the two kinds of presence (SP, CP) on consumer purchase intention is completely mediated by flow experience. The mediating effect of co-presence on consumer purchase intention through flow experience is regulated by e-commerce live streaming topicality, but social presence doesn’t.

Live streaming commerce is a novel form of an e-commerce platform, which works by establishing a temporary virtual community shared by streamers and customers in real time. With the popularity of live streaming shopping, many e-retailers adopted this new platform to promote their products in an effort to boost their sales volume. On the basis of signalling theory and social exchange theory (SET), this study proposes a research model to examine the informational signals and customer-streamer exchanges that two parties shared using live streaming platform. An online survey with 735 samples was collected through a professional online survey service platform (i.e., Wenjuanxing) to measure our model. Our results indicate that both service-centred signal (interaction quality) and product-centred signal (streamer credibility) have significant positive influences on customer evaluation of information quality. The results also denote that the received information quality acts as a significant predictor of customer engagement and buying tendency. Moreover, the results confirm the mediation role of customer engagement in predicting impulsive buying tendency, and the moderation effects of guanxi orientation on customer engagement and impulsive buying tendency. By synthesizing the preceding findings, theoretical and practical implications are discussed in the context of live streaming commerce.

In recent years, advances in the digital and live streaming economy have led to exponential growth in the number of self-employed streamers who have become an integral part of the self-driven digital labor force. However, previous research on the impact of streamers' work time arrangements on their virtual gifts remains scarce. To fill this gap in the literature, using large-scale data from Kuaishou live streaming platform, we demonstrate that several features of streamers' work time have an important impact on their virtual gifts. Specifically, our results suggest that work time duration and timing improve streamers' virtual gifts; meanwhile, work time tempo has an adverse effect on streamers' earnings. Taken together, our results provide novel and actionable insights for millions of self-employed streamers, agencies, platforms, and policymakers.

A growing number of fashion brands and retailers are actively adopting live streaming as a new marketing channel. In spite of the increasing use of live commerce, the effects of live streaming commerce on customer purchasing behavior for fashion products are not fully understood. The purpose of this study is to examine factors affecting consumers’ attitudes toward a purchase via fashion live streaming commerce (FLSC) and intention to use FLSC. The study also investigated whether consumers’ expenditure on fashion and time spent on mobile shopping moderate the relationships among research variables. A total of 230 questionnaires were analyzed through descriptive statistics, confirmatory factor analysis, and multiple-group comparison tests using SPSS and AMOS. A summary of the main results of this study is as follows. First, the perception of the attributes of FLSC (ease of use, economic efficiency, interactivity, and enjoyment) has a positive effect on attitude toward a purchase via FLSC. The ease of use and economic efficiency of FLSC, in particular, have greater impacts on attitudes than other factors. Secondly, attitudes toward FLSC positively impact the intention to use FLSC. Lastly, the results of group comparisons, by fashion expenditure and time spent on mobile shopping respectively, hold no significant moderation effects among the variables. These findings demonstrate that consumers are more likely to use FLSC as they form a positive attitude by the attributes of FLSC mentioned earlier. The study provides some insights on an exploration of live streaming commerce for fashion product sales.

The emergence of Corona viruses have plunged human society into an unprecedented epidemic disaster, which made the way of communication between countries has changed dramatically. Korean Universities launched a new attempt to implement live streaming Korean language courses (LSKLC) in a purpose of continuing exchanges and cooperation with Chinese Universities. This study noticed that students attend these courses in different ways. In order to investigate whether students' satisfaction is affected by the way of attending the classes, this study was conducted using SPSS 26.0 software and Kruskal-Wallis test method, and the data was extracted from a LSKLC implemented by a Korean University. As results, the satisfaction level of students was high, meanwhile the teaching method satisfaction was the highest, following content setting, and timetable setting, but neither attending way showed any significant difference in course satisfaction.

본 연구는 타오바오 라이브 스트리밍 쇼핑의 특성과 주관적 규범이 라이브 스트리밍 쇼핑 사용 의도에 어떤 영향을 미치는지에 대해 조사하였다. 타오바오 라이브 스트리밍 쇼핑의 특성인 ‘인식된 즐거움’, ‘신뢰성’, ‘상호작용성’, ‘즉시성’과 ‘주관적 규범’이 타오바오 라이브 스트리밍 쇼핑의 사용 의도에 미치는 영향을 파악하기 위해 몰입이론과 합리적 행동 이론을 기반으로 연구를 진행하였다. 중국인 335명을 대상으로 설문조사를 실시하였으며 결과는 다음과 같다. ‘상호작용성’을 제외한 나머지 특성인 ‘인식된 즐거움’, ‘신뢰성’ 및 ‘즉시성’이 타오바오 라이브 스트리밍 쇼핑 사용에 대한 태도에 긍정적인 영향을 미치는 것으로 나타났다. 타오바오 라이브 스트리밍 쇼핑 사용에 대한 태도는 타오바오 라이브 스트리밍 쇼핑 사용 의도에 긍정적인 영향을 미치는 것으로 나타났으며 ‘주관적 규범’이 사용 의도에 긍정적인 영향을 줄 수 있는 것으로 나타났다. 본 연구는 타오바오 라 이브 스트리밍 쇼핑의 특성과 ‘주관적 규범’이 라이브 스트리밍 쇼핑 이용 의도에 어떤 영향을 미치는지 이해하는데 도움이 될 뿐만 아니라 다양한 라이브 스트리밍 쇼핑에 관한 마케팅 전략을 개발 하는데 도움이 될 수 있다.

본 연구는 인터넷 개인방송의 이용동기와 수용자특성(초기수용자, 후기수용자)에 따른 만족도의차이를 분석하였다. 이를 위해 아프리카TV(AfreecaTV)를 이용하는 10~30대 283명을 대상으로 설문을 실시하였으며, 다음과 같은 결과를 도출하였다. 분석결과 사용자의 하루 평균 사용시간은 이용동기에 긍정적인 영향을 미쳤으며, 수용자특성에 따른 인구통계학적 특성차이에서는 학력에서만 차이가 있는 것으로 나타났다. 또한 만족도는 초기수용자의 경우 여가습관, 커뮤니케이션, 오락성, 접근성이 후기수용자는 접근성, 신뢰성, 여가습관, 최신성이 유의미한 요인으로 나타났다.

e스포츠의 발달로 게임을 매개로 한 여러 분야의 산업들이 함께 성장하였다. 게임방송은 다 양한 플랫폼을 통해 시청자들에게 도달하면서 대중적인 게임문화 확산에 기여하고 있으며, 게 임이 점차 스포츠로 인식되기 시작하면서 게임방송을 실시간으로 시청하고자 하는 수요가 늘어 나고 있다. 이러한 수요와 함께 최근 OTT(Over-The-Top) 서비스를 기반으로 한 글로벌 게임 중계 방송채널은 빠르게 증가하고 있는 추세이다. 이에 본 연구에서는 YouTube의 Open API 분석을 통한 글로벌 게임방송 스트리밍 현황 파 악 및 시청행태를 분석하고 국내 게임방송산업의 발전을 위해 실무적인 제안을 하고자 한다. 본 연구는 방송 공급자와 시청자 모두 온라인 상태에서 실시간으로 방송을 스트리밍 하는 상태 인 세션을 중심으로 방송시간 및 실시간 시청자를 카테고리, 날짜, 요일, 시간대별로 나누어 분 석하였다.