In-Consumption Information Cues and Online Video Consumption

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dc.contributor.authorSim, Jaeungko
dc.contributor.authorChoi, Kyungminko
dc.contributor.authorHan, Sang Pilko
dc.contributor.authorCho, Daegonko
dc.date.accessioned2024-06-07T07:00:09Z-
dc.date.available2024-06-07T07:00:09Z-
dc.date.created2023-10-31-
dc.date.created2023-10-31-
dc.date.created2023-10-31-
dc.date.created2023-10-31-
dc.date.issued2024-06-
dc.identifier.citationMIS Quarterly: Management Information Systems, v.48, no.2, pp.645 - 678-
dc.identifier.issn0276-7783-
dc.identifier.urihttp://hdl.handle.net/10203/319665-
dc.description.abstractOnline video platforms, like YouTube, feature visual cues on progress bars to spotlight standout segments of videos. These cues, designed to steer users towards intriguing content moments, raise questions about their overarching impact on video consumption patterns. In this study, we delve into in-consumption information cues (ICICs), indicators that depict fluctuating video quality in real-time. Drawing from a natural experiment on a live-streaming platform, we evaluate the effects of engagement graphs. These are visual timelines that emphasize moments favored by prior viewers in video-on-demand (VOD) content, which represent full replays of live-streaming sessions. Notably, these graphs are only accessible to iOS users, leaving Android users without access. Our results show that ICICs enhance the viewership of VODs and live streams. Moreover, viewers tend to spend more time immersed in live broadcasts, suggesting a heightened content appeal. Yet, these engagement graphs do not prompt users to donate more virtual gifts, a vital income stream for streamers. Even with the introduction of ICICs, while there is a rise in video production, the inherent structure of live streaming remained largely unchanged. We conclude by discussing the academic and managerial implications of these findings.-
dc.languageEnglish-
dc.publisherMIS Research Center-
dc.titleIn-Consumption Information Cues and Online Video Consumption-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85195794724-
dc.type.rimsART-
dc.citation.volume48-
dc.citation.issue2-
dc.citation.beginningpage645-
dc.citation.endingpage678-
dc.citation.publicationnameMIS Quarterly: Management Information Systems-
dc.identifier.doi10.25300/MISQ/2023/17763-
dc.contributor.localauthorCho, Daegon-
dc.contributor.nonIdAuthorSim, Jaeung-
dc.contributor.nonIdAuthorChoi, Kyungmin-
dc.contributor.nonIdAuthorHan, Sang Pil-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorengagement graphs-
dc.subject.keywordAuthorIn-consumption information cues-
dc.subject.keywordAuthorlive streaming-
dc.subject.keywordAuthornatural experiment-
dc.subject.keywordAuthorvideo on demand-
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