Research Article

A Study on the Mechanisms Influencing Youth Intermittent Disengagement Behavior on Short Video Platforms—Based on the Moderating Role of Self-Control Ability

Yuze ZhangRenmin University of China*

* Corresponding author: [email protected]

Abstract

As a product of the technological revolution in information media, short video platforms feature an increasingly complex scale of information, functional settings, and social networks. These complexities pose risks of perceived overload on the user level, leading to negative usage behaviors such as usage fatigue and intermittent disengagement. Based on the Stimulus-Organism-Response (S-O-R) theoretical framework, this study constructs a model of the mechanisms influencing intermittent disengagement behaviors among young users on short video platforms. Innovatively, the study introduces the moderating role of self-control theory. Data were collected through an online questionnaire, yielding 423 valid samples, and analyzed using structural equation modeling, mediation effect modeling, and moderation effect modeling. Results indicate that perceived information overload has a significant positive impact on the occurrence of intermittent disengagement among youth; usage fatigue partially mediates the pathway from perceived information overload to intermittent disengagement and fully mediates the pathway from perceived functional overload to intermittent disengagement; self-control ability positively moderates the relationship between usage fatigue and intermittent disengagement.

Keywords: short video platforms; intermittent disengagement behavior; youth group; usage fatigue; perceived overload
Published: December 9, 2024
DOI: 10.54254/2753-7064/2024.18108
Volume: CHR Vol.52
pp. 55-62
Download PDF

References

  1. Gan, C., Lin, T., & Xiao, C., et al. (2018). An empirical study on social commerce intention from the S-O-R perspective. Modern Information, 38(9), 64-69, 97.
  2. Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51-61.
  3. Gan, C., & Ming, X. (2023). An empirical study on intermittent disengagement intention of short video users from the SOR perspective. Information Science, 41(06), 153-160.
  4. Lin, J. B., Lin, S. Z., Turel, O., & Xu, F. (2020). The buffering effect of flow experience on the relationship between overload and social media users' discontinuance intentions. Telematics and Informatics, 49.
  5. overload and social media users' discontinuance intentions. Telematics and Informatics, 49. Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904-914.
  6. Dai, B., Ali, A., & Wang, H. (2020). Exploring information avoidance intention of social media users: A cognition–affect–conation perspective. Internet Research, 30(5), 1455-1478.
  7. Zhu, Q. (2023). A study on the impact of perceived overload on intermittent disengagement behavior of Douyin users: Based on the moderating role of habit. [Master's thesis, Jiangxi University of Finance and Economics].
  8. Sjåstad, H., & Baumeister, R. F. (2018). The future and the will: Planning requires self-control, and ego depletion leads to planning aversion. Journal of Experimental Social Psychology, 76, 127-141.
  9. Maier, C., Laumer, S., Eckhardt, A., et al. (2015). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 447-464.
  10. Shen, X., & Li, Y. (2017). A study on influencing factors of intermittent discontinuance behavior of smart health hardware users. Management Science, 30(01), 31-42.