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Analyzing the Impact of Information Features on User Continuance Intent in Recommendation Systems

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  • Weikai Li

    (Chongqing University, China)

Abstract

Under the protection of recent legislation, users are increasingly opting to disable personalized recommendation features in applications. This study, for the first time from an information perspective, draws on Psychological Reactance Theory and Innovation Resistance Theory to explore the impact of the semantic characteristics of personalized recommendation information on users' intentions to continue using the application. A contextual analysis based on the intensity of social media use is conducted. Empirical evidence is derived from cross-sectional data of Chinese users. The results indicate that information characteristics affect users' perceived freedom risks and threats, inhibiting their intention to continue using the application. The intensity of social media use moderates this inhibition. As one of the earliest studies to explore discontinuing personalized recommendations, the research deepens the understanding of how recommendation systems affect users' behaviors. It provides feasible insights for developers to optimize recommendation systems.

Suggested Citation

  • Weikai Li, 2024. "Analyzing the Impact of Information Features on User Continuance Intent in Recommendation Systems," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 20(1), pages 1-36, January.
    • Handle: RePEc:igg:jswis0:v:20:y:2024:i:1:p:1-36
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    References listed on IDEAS

    as
    1. Kan-Min Lin, 2015. "Predicting Asian undergraduates’ intention to continue using social network services from negative perspectives," Behaviour and Information Technology, Taylor & Francis Journals, vol. 34(9), pages 882-892, September.
    2. Behzad Foroughi & Siriwaree Sitthisirinan & Mohammad Iranmanesh & Davoud Nikbin & Morteza Ghobakhloo, 2024. "Determinants of travel apps continuance usage intention: extension of technology continuance theory," Current Issues in Tourism, Taylor & Francis Journals, vol. 27(4), pages 619-635, February.
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