{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:09:47Z","timestamp":1773097787670,"version":"3.50.1"},"reference-count":117,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T00:00:00Z","timestamp":1746144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>Short video applications have gained increasing prominence as pivotal channels for information acquisition and knowledge dissemination, capturing the attention of scholars. Despite the increasing interest in this area, a general investigation of the factors that facilitate users\u2019 information adoption on TikTok remains insufficient. We combine the flow experience and information adoption theory to construct a novel theoretical model for investigating the antecedents of information adoption intentions within the realm of short video applications. A total of 386 data were collected from TikTok\u2019s users and analyzed using the partial least squares (PLS) approach. The analysis of the data revealed that technology affordance (i.e., accuracy, serendipity, and perceived ease of use) and information quality influence users\u2019 information adoption intentions via flow experience. Users\u2019 interest-type epistemic curiosity can moderate the effect of serendipity on information adoption intentions. This study investigates the interactive effects of individuals, technology, and information on flow and information adoption intentions, offering implications for platform administrators, content creators, and government agencies to understand users\u2019 information adoption.<\/jats:p>","DOI":"10.3390\/jtaer20020091","type":"journal-article","created":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T20:57:16Z","timestamp":1746392236000},"page":"91","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Investigation of Users\u2019 Information Adoption Intention in Short Video Applications: A Perspective on Flow Experience"],"prefix":"10.3390","volume":"20","author":[{"given":"Shengtai","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]},{"given":"Yiwei","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1108\/INTR-08-2021-0595","article-title":"How TikTok Leads Users to Flow Experience: Investigating the Effects of Technology Affordances with User Experience Level and Video Length as Moderators","volume":"33","author":"Zhao","year":"2023","journal-title":"Internet Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"03029","DOI":"10.1051\/e3sconf\/202123503029","article-title":"Analysis on the \u201cDouyin (Tiktok) Mania\u201d Phenomenon Based on Recommendation Algorithms","volume":"235","author":"Zhao","year":"2021","journal-title":"E3S Web Conf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"100014","DOI":"10.1016\/j.hfh.2022.100014","article-title":"Applying the Uses and Gratifications Theory to Identify Motivational Factors behind Young Adult\u2019s Participation in Viral Social Media Challenges on TikTok","volume":"2","author":"Falgoust","year":"2022","journal-title":"Hum. 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