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The State of Research on Information Systems Success

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  • Nils Urbach
  • Stefan Smolnik
  • Gerold Riempp

Abstract

Measuring information systems (IS) success is of great interest to both researchers and practitioners. This article examines multidimensional approaches to measuring IS success and explores the current state of IS success research through a literature review and by classifying articles published between 2003 and 2007. Based on a total of 41 academic journal and conference publications, the relevant research carried out is identified, while the research results are categorized, consolidated, and discussed. The results show that the dominant empirical research analyzes the individual impact of a certain type of information system by ascertaining users’ evaluation of it by means of surveys and then applying structural equation modeling. The DeLone and McLean information systems success model is the main theoretical basis of the reviewed empirical studies. This article provides researchers with a comprehensive review and structuring of IS success research. Furthermore, opportunities for additional development are identified and future research directions suggested. Copyright Gabler Verlag 2009

Suggested Citation

  • 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.
    • Handle: RePEc:spr:binfse:v:1:y:2009:i:4:p:315-325
    DOI: 10.1007/s12599-009-0059-y
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    References listed on IDEAS

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    1. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    2. 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.
    3. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    4. 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.
    5. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    6. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    7. Byrd, Terry Anthony & Thrasher, Evelyn H. & Lang, Teresa & Davidson, Nancy W., 2006. "A process-oriented perspective of IS success: Examining the impact of IS on operational cost," Omega, Elsevier, vol. 34(5), pages 448-460, October.
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