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A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment

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Listed:
  • Barry L. Myers

    (University of Southern Colorado, USA)

  • Leon A. Kappelman

    (University of North Texas, USA)

  • Victor R. Prybutok

    (University of North Texas, USA)

Abstract

Information Systems (IS) managers are under increasing pressure to justify the value and contribution of IS expenditures to the productivity, quality, and competitiveness of the organization. This paper examines the need for IS assessment and suggests a comprehensive IS assessment framework linked to organizational performance using existing IS assessment theory as a base and incorporating measurement concepts from other disciplines. The existing models of IS success are updated to include the emerging IS success dimensions of service quality and work group impact and provide a comprehensive method for organizing the various measures of IS success. In addition, many new measures from recent research are presented to supplement the lists supplied by previous research. Additional research is suggested to advance the IS assessment contingency theory. Such a theory has the potential to contribute to the quality and productivity of the IS function and the larger organization by providing feedback to manage and improve the IS function to better meet the needs of the organization.

Suggested Citation

  • Barry L. Myers & Leon A. Kappelman & Victor R. Prybutok, 1997. "A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment," Information Resources Management Journal (IRMJ), IGI Global, vol. 10(1), pages 6-26, January.
    • Handle: RePEc:igg:rmj000:v:10:y:1997:i:1:p:6-26
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    Cited by:

    1. Kanellou, Alexandra & Spathis, Charalambos, 2013. "Accounting benefits and satisfaction in an ERP environment," International Journal of Accounting Information Systems, Elsevier, vol. 14(3), pages 209-234.
    2. Yao, Lee J. & Liu, Chunhui & Chan, Siew H., 2010. "The influence of firm specific context on realizing information technology business value in manufacturing industry," International Journal of Accounting Information Systems, Elsevier, vol. 11(4), pages 353-362.
    3. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    4. 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.
    5. Witold Chmielarz & Marek Zborowski, 2020. "Towards Sustainability in E-Banking Website Assessment Methods," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    6. Garrison, Gary & Wakefield, Robin L. & Kim, Sanghyun, 2015. "The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations," International Journal of Information Management, Elsevier, vol. 35(4), pages 377-393.
    7. Ghazal, Mohammed & Akmal, Muhammad & Iyanna, Shilpa & Ghoudi, Kilani, 2016. "Smart plugs: Perceived usefulness and satisfaction: Evidence from United Arab Emirates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1248-1259.
    8. Kim, Changsu & Oh, Eunhae & Shin, Namchul & Chae, Myungsin, 2009. "An empirical investigation of factors affecting ubiquitous computing use and U-business value," International Journal of Information Management, Elsevier, vol. 29(6), pages 436-448.

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