Unlocking the enigma of social commerce discontinuation: exploring the approach and avoidance drivers
Abstract
Purpose
This research explores the impact of approach and avoidance drivers on users’ discontinuance usage intention (DUI) in social commerce (s-commerce). It also examines the mediating role of perceived enjoyment and the moderating role of autotelic personality traits.
Design/methodology/approach
Using a purposive sample of 465 s-commerce users in Malaysia, data analysis was conducted using partial least squares structural equation modeling (PLS-SEM).
Findings
This study demonstrates that informational support is a key approach driver, enhancing perceived enjoyment and reducing perceived deception and DUI. Although perceived deception does not directly affect perceived enjoyment, it significantly predicts DUI. Additionally, the impact of informational support on DUI is mediated by perceived enjoyment and moderated by autotelic personality.
Practical implications
S-commerce stakeholders, including platform developers, sellers and policymakers, can leverage these findings to foster a sustainable s-commerce environment. Implementing the proposed strategies can enhance perceived enjoyment and reduce DUI among current users.
Originality/value
This research advances s-commerce marketing and IS discontinuance studies by extending the approach-avoidance motivations model (AAMM) into s-commerce and incorporating autotelic personality as a moderating factor provides new insights into user DUI in this evolving field.
Keywords
Acknowledgements
The authors would like to express their appreciation to the Research Management Centre of Universiti Putra Malaysia (GPB/2021/9696700), National Natural Science Foundation of China (72372166, 71972108) and The Key Research Project of Philosophy and Social Sciences in Shenzhen (SZ2023A011) for financially supporting this research.
Citation
Chong, S.-E., Lim, X.-J., Ng, S.I. and Kamal Basha, N. (2025), "Unlocking the enigma of social commerce discontinuation: exploring the approach and avoidance drivers", Marketing Intelligence & Planning, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/MIP-10-2023-0536
Publisher
:Emerald Publishing Limited
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