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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)

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.

Suggested Citation

  • Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
  • Handle: RePEc:inm:ormnsc:v:51:y:2005:i:5:p:741-755
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    File URL: http://dx.doi.org/10.1287/mnsc.1040.0326
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    References listed on IDEAS

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    1. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    2. N. Venkatraman, 1989. "Strategic Orientation of Business Enterprises: The Construct, Dimensionality, and Measurement," Management Science, INFORMS, vol. 35(8), pages 942-962, August.
    3. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. " The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Oxford University Press, vol. 15(3), pages 325-343, December.
    6. Nancy Paule Melone, 1990. "A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research," Management Science, INFORMS, vol. 36(1), pages 76-91, January.
    7. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    9. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    10. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. " Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Oxford University Press, vol. 25(1), pages 78-90, June.
    11. Oliver, Richard L & Bearden, William O, 1985. " Crossover Effects in the Theory of Reasoned Action: A Moderating Influence Attempt," Journal of Consumer Research, Oxford University Press, vol. 12(3), pages 324-340, December.
    12. Bagozzi, Richard P & Baumgartner, Hans & Yi, Youjae, 1992. " State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage," Journal of Consumer Research, Oxford University Press, vol. 18(4), pages 505-518, March.
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