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Social Networking Continuance: When Habit Leads to Information Overload

Author

Listed:
  • Michel Kalika

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Hajer Kefi

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Alya Mlaiki

Abstract

In this paper, we propose an explanatory model of the continuance intention to use social networking sites (SNS). Our aim is to extend the post adoptive model by incorporating Habit and Information Overload as antecedents to SNS continuance intention. A quantitative approach based on an online survey administered to 320 executive managers in France confirms the positive role of habit in generating information overload and in positively affecting SNS continuance intention. The results also show that satisfaction and perceived usefulness do not seem to play any significant role.

Suggested Citation

  • Michel Kalika & Hajer Kefi & Alya Mlaiki, 2015. "Social Networking Continuance: When Habit Leads to Information Overload," Post-Print hal-01664022, HAL.
    • Handle: RePEc:hal:journl:hal-01664022
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    Cited by:

    1. Stieglitz, Stefan & Mirbabaie, Milad & Ross, Björn & Neuberger, Christoph, 2018. "Social media analytics – Challenges in topic discovery, data collection, and data preparation," International Journal of Information Management, Elsevier, vol. 39(C), pages 156-168.

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