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A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena

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  • Sung S. Kim

    ()
    (School of Business, University of Wisconsin--Madison, 975 University Avenue, Madison, Wisconsin 53706)

  • Naresh K. Malhotra

    ()
    (College of Management, Georgia Institute of Technology, 800 West Peachtree Street NW, Atlanta, Georgia 30332)

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    Abstract

    Although initial use is an important indicator of information system (IS) success, it does not necessarily lead to the desired managerial outcome unless the use continues. However, compared with the great amount of work done on IS adoption, little systematic effort has gone into providing insight into continued IS use over time. The objective of this study is to develop a longitudinal model of how users' evaluations and behavior evolve as they gain experience with the information technology application. The proposed model is a unified framework that sheds light on four different mechanisms underlying postadoption phenomena: (1) the processes suggested by the technology acceptance model; (2) sequential updating mechanisms; (3) feedback mechanisms; and (4) repeated behavioral patterns. The proposed model was empirically tested in the context of Web-based IS use in a nonexperimental setting. Our findings suggest that, as hypothesized, each of the four theoretical viewpoints is essential for a deeper understanding of continued IS use. We discuss important findings that emerged from this longitudinal study and suggest directions for additional research.

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    File URL: http://dx.doi.org/10.1287/mnsc.1040.0326
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 51 (2005)
    Issue (Month): 5 (May)
    Pages: 741-755

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    Handle: RePEc:inm:ormnsc:v:51:y:2005:i:5:p:741-755

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    Related research

    Keywords: longitudinal study; panel model; information systems use; continued use; technology acceptance model (TAM); theory of belief updating; self-perception theory; habit;

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    Cited by:
    1. Laubie, Raphaëlle & Elie-dit-Cosaque, Christophe, 2012. "Exploring and Predicting Online Collective Action on Patients' Virtual Communities: A Multi-method Investigation in France," Economics Papers from University Paris Dauphine 123456789/11679, Paris Dauphine University.
    2. Wong, Christina W.Y. & Lai, Kee-hung & Shang, Kuo-Chung & Lu, Chin-Shan & Leung, T.K.P., 2012. "Green operations and the moderating role of environmental management capability of suppliers on manufacturing firm performance," International Journal of Production Economics, Elsevier, vol. 140(1), pages 283-294.
    3. Kayande, U. & de Bruyn, A. & Lilien, G.L. & Rangaswamy, A. & van Bruggen, G.H., 2006. "How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems," ERIM Report Series Research in Management ERS-2006-039-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
    4. Guoyin Jiang & Feicheng Ma & Youtian Wang, 2012. "A review on the evolution of user acceptance behaviour in collaborative e-commerce," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 62-78.
    5. Choi, Hun & Kim, Youngchan & Kim, Jinwoo, 2011. "Driving factors of post adoption behavior in mobile data services," Journal of Business Research, Elsevier, vol. 64(11), pages 1212-1217.
    6. Escobar-Rodríguez, Tomás & Carvajal-Trujillo, Elena, 2013. "Online drivers of consumer purchase of website airline tickets," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 58-64.

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