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More than watching: An empirical and experimental examination on the impacts of live streaming user-generated video consumption
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2023 | Information & Management | Citations: 0
Authors: Zhang, Yuan; Hua, Lei; Jiao, Yue; Zhang, Jie; Saini, Ritesh

Abstract: Live streaming user-generated video (UGV), a nascent format of crowdsourced cont ... Expand

Abstract: Live streaming user-generated video (UGV), a nascent format of crowdsourced content, has grown massive popularity among social media users and is believed to have substantial potential business influences. However, industry practitioners express concerns regarding this new form on social media platforms and the influences of live streaming UGV consumption lack research. Motivated such, through a uniquely merged dataset from the video game industry, we conduct a series of panel time-series empirical analyses to investigate the business value of live streaming UGV consumption. Further, we propose a conceptual framework based on the sense of com munity literature to understand the consequences of live streaming UGV consumption and verify it through several online experiments. This research contributes to the IS literature by shedding light on the influences of emergent crowdsourced content, providing a conceptual framework to existing literature, and offering rich managerial implications and guidelines to managers regarding utilizing live streaming UGVs. Collapse

Semantic filters: live streaming platform time series analysis

Topics: video streaming service digital service marketing management organizational value crowdsourcing

Methods: experiment survey parametric test Student's t-test nonparametric test
Teaching Business Analytics during the COVID-19 Pandemic: A Tale of Two Courses
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2021 | Communications of the Association for Information Systems | Citations: 0
Authors: Williams, Benjamin; Elmore, Ryan

Abstract: We describe our experience in teaching two different levels of undergraduate bu ... Expand

Abstract: We describe our experience in teaching two different levels of undergraduate business analytics courses during the coronavirus disease of 2019 (COVID-19) pandemic. In particular, we focus on two challenges that arose during the shift to emergency remote teaching: 1) engaging students and 2) teaching students how to use software. We discuss our efforts to mitigate the effects of these problems and highlight the differences in implementing our strategies in a general-education (i.e., required for business majors) course versus an upper-level elective. Finally, we discuss lessons learned and recommendations for other educators regardless of their teaching modality. Collapse

Semantic filters: live streaming platform time series analysis

Topics: video conference social media Twitch information system use online learning system

Methods: survey longitudinal research time series analysis

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More than watching: An empirical and experimental examination on the impacts of live streaming user-generated video consumption

Teaching Business Analytics during the COVID-19 Pandemic: A Tale of Two Courses