IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025issue-3p62-82.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-3/62-82.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/extending-theory-of-planned-behavior-to-predict-tiktok-addiction-behavior-among-chinese-users/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria Tsourela & Dafni-Maria Nerantzaki, 2020. "An Internet of Things (IoT) Acceptance Model. Assessing Consumer’s Behavior toward IoT Products and Applications," Future Internet, MDPI, vol. 12(11), pages 1-23, November.
    2. Daria J. Kuss & Mark D. Griffiths, 2011. "Online Social Networking and Addiction—A Review of the Psychological Literature," IJERPH, MDPI, vol. 8(9), pages 1-25, August.
    3. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    4. Yao Qin & Alessandro Musetti & Bahiyah Omar, 2023. "Flow Experience Is a Key Factor in the Likelihood of Adolescents’ Problematic TikTok Use: The Moderating Role of Active Parental Mediation," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    5. Md Shahzalal & Hamedi Mohd Adnan, 2022. "Attitude, Self-Control, and Prosocial Norm to Predict Intention to Use Social Media Responsibly: From Scale to Model Fit towards a Modified Theory of Planned Behavior," Sustainability, MDPI, vol. 14(16), pages 1-38, August.
    6. Jie Zhao & Jianfei Wang, 2020. "Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model," IJERPH, MDPI, vol. 17(5), pages 1-21, February.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Ilyas & Arif ud din & Muhammad Haleem & Irshad Ahmad, 2023. "Digital entrepreneurial acceptance: an examination of technology acceptance model and do-it-yourself behavior," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-19, December.
    2. Véronique Vasseur & Anne-Francoise Marique & Vladimir Udalov, 2019. "A Conceptual Framework to Understand Households’ Energy Consumption," Energies, MDPI, vol. 12(22), pages 1-22, November.
    3. Renata Walczak & Krzysztof Koszewski & Robert Olszewski & Krzysztof Ejsmont & Anikó Kálmán, 2023. "Acceptance of IoT Edge-Computing-Based Sensors in Smart Cities for Universal Design Purposes," Energies, MDPI, vol. 16(3), pages 1-22, January.
    4. Wesam Fallatah & Joakim Kävrestad & Steven Furnell, 2024. "Establishing a Model for the User Acceptance of Cybersecurity Training," Future Internet, MDPI, vol. 16(8), pages 1-12, August.
    5. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    6. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    7. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    8. Prami Sengupta & Randall Cantrell, 2021. "Context Matters: The effects of budgetary and knowledge constraints on residential energy conservation," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(4), pages 561-573, December.
    9. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    10. Sindhu Singh & R. K. Srivastava, 2020. "Understanding the intention to use mobile banking by existing online banking customers: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 25(3), pages 86-96, December.
    11. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    12. Paul Stefan MARKOVITS, 2024. "Assesing Romanian Farmers’ Motivation For Digitalization: A Unified Theory Of Acceptance And Usage Of Technology (Utaut) Based Research Model," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 9(1), pages 98-112, March.
    13. Ladhari, Riadh & Massa, Elodie & Skandrani, Hamida, 2020. "YouTube vloggers’ popularity and influence: The roles of homophily, emotional attachment, and expertise," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    14. Casaló, Luis V. & Flavián, Carlos & Guinalíu, Miguel, 2010. "Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions," Tourism Management, Elsevier, vol. 31(6), pages 898-911.
    15. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits: survey in connection with the research project "Finnish payment habits 2010"," Bank of Finland Research Discussion Papers 32/2006, Bank of Finland.
    16. Frishammar, Johan & Essén, Anna & Bergström, Frida & Ekman, Tilda, 2023. "Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    17. Liu, Chang & Lin, Boqiang, 2020. "Is increasing-block electricity pricing effectively carried out in China? A case study in Shanghai and Shenzhen," Energy Policy, Elsevier, vol. 138(C).
    18. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    19. Perera S.N.M.G. & Samaraweera G.R.S.R.C. ., 2020. "Determinants of Social Media Addiction of Employees in Services Sector in Sri Lanka," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(6), pages 338-345, June.
    20. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:9:y:2025:issue-3:p:62-82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.