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Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users

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  • Ofir Turel

Abstract

Much research has been devoted to the early adoption and the continued and habituated use of information systems (IS). Nevertheless, less is known about quitting the use of IS by individuals, especially in habituated hedonic settings, that is, IS discontinuance. This study focuses on this phenomenon, and argues that in hedonic IS use contexts (1) IS continuance and discontinuance can be considered simultaneously yet independently by current users, and that (2) IS continuance and discontinuance drivers can have differential effects on the respective behavioral intentions. Specifically, social cognitive theory is used to point to key unique drivers of website discontinuance intentions: guilt feelings regarding the use of the website and website-specific discontinuance self-efficacy, which counterbalance the effects of continuance drivers: habit and satisfaction. The distinctiveness of continuance and discontinuance intentions and their respective nomological networks, as well as the proposed research model, were then empirically validated in a study of 510 Facebook users. The findings indicate that satisfaction reduces discontinuance intentions directly and indirectly through habit formation. However, habit can also facilitate the development of ‘addiction’ to the use of the website, which produces guilt feelings and reduces one’s self-efficacy to quit using the website. These factors, in turn, drive discontinuance intentions and possibly the quitting of the use of the website.

Suggested Citation

  • Ofir Turel, 2015. "Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(4), pages 431-446, July.
  • Handle: RePEc:taf:tjisxx:v:24:y:2015:i:4:p:431-446
    DOI: 10.1057/ejis.2014.19
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    Cited by:

    1. Trabucchi, Daniel & Patrucco, Andrea S. & Buganza, Tommaso & Marzi, Giacomo, 2023. "Is transparency the new green? How business model transparency influences digital service adoption," Technovation, Elsevier, vol. 126(C).
    2. Reimer, Thomas, 2023. "Environmental factors to maximize social media engagement: A comprehensive framework," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Isaac Vaghefi & Bogdan Negoita & Liette Lapointe, 2023. "The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites," Information Systems Research, INFORMS, vol. 34(1), pages 85-110, March.
    4. Emmanuelle Vaast & Alain Pinsonneault, 2022. "Dealing with the Social Media Polycontextuality of Work," Information Systems Research, INFORMS, vol. 33(4), pages 1428-1451, December.
    5. Haiyun (Melody) Zou & Heshan Sun & Yulin Fang, 2023. "Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding," Information Systems Research, INFORMS, vol. 34(4), pages 1455-1475, December.
    6. Suparna Dhar & Indranil Bose, 2023. "Corporate Users’ Attachment to Social Networking Sites: Examining the Role of Social Capital and Perceived Benefits," Information Systems Frontiers, Springer, vol. 25(3), pages 1197-1217, June.

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