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The 3-D Model of Information Systems Success: The Search for the Dependent Variable Continues

Author

Listed:
  • J. Ballantine

    (University of Warwick, UK)

  • M. Bonner

    (Victoria University of Wellington, New Zealand)

  • M. Levy

    (University of Warwick, UK)

  • A. Martin

    (University of Warwick, UK)

  • I. Munro

    (University of Warwick, UK)

  • P.L. Powell

    (University of Warwick, UK)

Abstract

Research into the issue of information systems (IS) success is vital if IS is to demonstrate its worth. Predicated upon success not being a random variable, a number of models which attempt to delineate success and its causes have been proposed. One of the more complete and better known is that of DeLone and McLean (1992). This model has been used as a basis for empirical research in information systems success. Since its development other researchers have refined and extended the model. This paper attempts to take the analysis further. It evaluates the DeLone and McLean model on a number of dimensions, and a new model is proposed which fundamentally extends DeLone and McLean’s work. The new 3-D model is described and its contribution to further research assessed.

Suggested Citation

  • J. Ballantine & M. Bonner & M. Levy & A. Martin & I. Munro & P.L. Powell, 1996. "The 3-D Model of Information Systems Success: The Search for the Dependent Variable Continues," Information Resources Management Journal (IRMJ), IGI Global, vol. 9(4), pages 5-15, October.
    • Handle: RePEc:igg:rmj000:v:9:y:1996:i:4:p:5-15
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    Cited by:

    1. Iannacci, Federico & Cornford, Tony, 2017. "Unravelling casual and temporal influences underpinning monitoring systems success: a typological approach," LSE Research Online Documents on Economics 84049, London School of Economics and Political Science, LSE Library.
    2. Nils Urbach & Stefan Smolnik & Gerold Riempp, 2009. "The State of Research on Information Systems Success," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(4), pages 315-325, August.
    3. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    4. Manuel Mora & Gloria Phillips-Wren & Fen Wang & Ovsei Gelman, 2017. "An Exploratory-Comparative Study of Implementation Success Factors for MSS/DMSS and MIS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1671-1705, November.

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