IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v10y1997i1p6-26.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.1997010101
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Witold Chmielarz & Marek Zborowski, 2020. "Towards Sustainability in E-Banking Website Assessment Methods," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    8. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:rmj000:v:10:y:1997:i:1:p:6-26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.