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Empirical investigation of the impact of overload on the discontinuous usage intentions of short video users: a stressor-strain-outcome perspective

  • Dingyu Ye*
  • , Dongmin Cho
  • , Jianyu Chen
  • , Zhengzhi Jia
  • *Corresponding author for this work
  • Jeonbuk National University
  • Sichuan Tourism University
  • Birmingham City University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Purpose: This study focuses on perceived overload from environmental stimuli and individual psychology and behavioral interactions. It constructs a theoretical model with overload as the key stressor based on the stressor-strain-outcome (SSO) model. The authors argue that system feature overload (SFO), information overload, and social overload lead to two psychological strains: fear of missing out (FoMO) and fatigue among users of short video platforms, affecting their discontinuous usage intentions. Design/methodology/approach: To test the hypotheses, the authors conducted a questionnaire survey on 412 users' short video platform usage and empirically tested the constructed model using the research tool SmartPLS 3.3.2. Findings: The results of data analysis showed that most of the hypotheses were supported. Specifically, system feature overload, information overload and social overload all positively affected FoMO. However, SFO and information overload significantly affected fatigue. There was no significant relationship between social overload and fatigue. In addition, both FoMO and fatigue negatively influenced users' discontinuous usage intentions. Originality/value: The current research on user behavior in information systems tends to focus on the influence in the positive direction and less on the negative direction. The research on discontinuous usage intention (DUI) is a very new research topic. This research studies the influencing factors of users' discontinuous behavior from the perspective of perceptual overload. It provides a unique view for future short video platform user behavior research, with significant theoretical contributions and essential practice for short video platform operators to improve services.

Original languageEnglish
Pages (from-to)697-713
Number of pages17
JournalOnline Information Review
Volume47
Issue number4
DOIs
StatePublished - 2023.07.26

Keywords

  • Discontinuous usage intentions
  • Overload
  • Short video platform
  • Stressor-strain-outcome model

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science
  • Library & Information Management

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