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Extending Theory of Planned Behavior to Predict TikTok Addiction Behavior among Chinese Users

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  • Zhang Jie

    (Hashim international Business School, Universiti Teknologi Malaysia, Malaysia)

  • Othman Bin Ibrahim

    (Department of Information Systems, Universiti Teknologi Malaysia, Malaysia)

Abstract

The rise of short-form video apps, such as TikTok, has led to concerns about their addictive nature, particularly among middle-aged and elderly users. This study investigates the TikTok addiction behavior model among Chinese middle-aged and elderly users. A quantitative approach was employed, using a survey questionnaire to collect data from 163 participants. Partial Least Squares and Structural Equation Modeling (PLS-SEM) software was used to analyze the data. The study integrated the Theory of Planned Behavior (TPB) and the Flow Theory (FT) to develop a comprehensive model of addiction behavior. The results provide valuable insights into TikTok addiction behavior among middle-aged and elderly users. The study’s findings contribute to media-related research, providing insights for policymakers to develop strategies for overcoming addictive tendencies. The research highlights the importance of promoting healthy TikTok usage among middle-aged and elderly users.

Suggested Citation

  • Zhang Jie & Othman Bin Ibrahim, 2025. "Extending Theory of Planned Behavior to Predict TikTok Addiction Behavior among Chinese Users," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 62-82, March.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-3:p:62-82
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