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

Zhang Jie and Othman Bin Ibrahim
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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

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3, 62-82

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.

Date: 2025
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