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A Discrepancy Model of End-User Computing Involvement

Author

Listed:
  • William J. Doll

    (The University of Toledo, 2801 West Bancroft Street, Toledo, Ohio 43606)

  • Gholamreza Torkzadeh

    (The University of Toledo, 2801 West Bancroft Street, Toledo, Ohio 43606)

Abstract

Within the context of traditional data processing, the MIS literature has devoted considerable attention to the relationship between user involvement and MIS success: unfortunately, this research has produced conflicting results. After reviewing these results, Ives and Olson provide a framework for research on user involvement. Although their framework uses cognitive and motivational psychological mechanisms to explain the linkage between user involvement and MIS success, the contingency variables they identify do not pertain to individual differences between users. Thus, the framework has limitations that reduce its usefulness for explaining conflicting research findings, and its applicability to the end-user computing environment. End-user computing is an emerging phenomenon characterized by substantial differences between individuals in skill and motivation. The unique aspects of this dynamic end-user environment are identified here and an end-user involvement construct is described. Next, after reviewing the participative decision making literature, a model of end-user involvement based upon Alutto and Belasco's discrepancy concept of participation is presented. Focusing on individual differences, this model hypothesizes a contingency relationship between perceived involvement, desired involvement, and end-user satisfaction. Three intervening psychological mechanisms described by Locke and Schweiger (value attainment as well as cognitive and motivational) are used to provide a theoretical rationale for the linkage between involvement and end-user satisfaction. The model is empirically examined using a sample of 618 respondents from 44 firms. The results tend to support the contingency hypotheses. The usefulness of this model for reconciling conflicting research findings in the user involvement literature is discussed, and suggestions for further research are described.

Suggested Citation

  • William J. Doll & Gholamreza Torkzadeh, 1989. "A Discrepancy Model of End-User Computing Involvement," Management Science, INFORMS, vol. 35(10), pages 1151-1171, October.
    • Handle: RePEc:inm:ormnsc:v:35:y:1989:i:10:p:1151-1171
    DOI: 10.1287/mnsc.35.10.1151
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    Citations

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    Cited by:

    1. Guimaraes, Tor & Yoon, Youngohc & Clevenson, Aaron, 1997. "Empirically testing ES success factors in business process reengineering," International Journal of Production Economics, Elsevier, vol. 50(2-3), pages 245-259, June.
    2. Marsden, James R. & Mathiyalakan, Sathasivam, 2003. "An investigation of changes in attitude over time of GDSS groups under unanimity and majority decision rules," European Journal of Operational Research, Elsevier, vol. 145(3), pages 693-712, March.
    3. Brantnell, Anders & Baraldi, Enrico, 2022. "Understanding the roles and involvement of technology transfer offices in the commercialization of university research," Technovation, Elsevier, vol. 115(C).
    4. Au, Norman & Ngai, Eric W. T. & Cheng, T. C. Edwin, 2002. "A critical review of end-user information system satisfaction research and a new research framework," Omega, Elsevier, vol. 30(6), pages 451-478, December.
    5. Blackburn, Nivea & Brown, Judy & Dillard, Jesse & Hooper, Val, 2014. "A dialogical framing of AIS–SEA design," International Journal of Accounting Information Systems, Elsevier, vol. 15(2), pages 83-101.
    6. Rondeau, Patrick J. & Ragu-Nathan, T. S. & Vonderembse, Mark A., 2003. "The information systems environment of time-based competitors," Omega, Elsevier, vol. 31(4), pages 253-268, August.
    7. Hunton, James E. & Gibson, Dana, 1999. "Soliciting user-input during the development of an accounting information system: investigating the efficacy of group discussion," Accounting, Organizations and Society, Elsevier, vol. 24(7), pages 597-618, October.
    8. Teng, James TC & Fiedler, Kirk D & Grover, Varun, 1998. "An exploratory study of the influence of the IS function and organizational context on business process reengineering project initiatives," Omega, Elsevier, vol. 26(6), pages 679-698, December.
    9. Monideepa Tarafdar & Cary L Cooper & Jean‐françois Stich, 2018. "The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research," Post-Print hal-01689038, HAL.
    10. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    11. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.

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