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Development of a user evaluations based quality model for conceptual modeling

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  • A. MAES
  • G. POELS

Abstract

This paper presents the development of a user evaluations based quality model for conceptual models applying Seddon’s variant of the well-known model of DeLone and McLean (1992) for evaluating the success of information systems. Given the growing awareness among researchers and practitioners about the importance of high-quality conceptual models, it is surprising that there is no practical evaluation framework that considers the quality of conceptual models from an end-user perspective (as opposed to the analyst and system developer perspectives). A first research goal is therefore to determine what the appropriate dimensions are for evaluating the success or quality of conceptual models from the end-user point of view. A second goal is to investigate the relationships between these quality dimensions. The paper also presents an empirical test of the proposed model of quality dimensions and their relationships. Results are presented of two experiments with 187 and 124 business students respectively, that were designed to test a set of hypotheses generated from the proposed model. The results largely support the proposed model and have implications for both theory and practice of quality evaluation of conceptual models.

Suggested Citation

  • A. Maes & G. Poels, 2006. "Development of a user evaluations based quality model for conceptual modeling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/406, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:06/406
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    File URL: http://wps-feb.ugent.be/Papers/wp_06_406.pdf
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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.
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    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. François Bodart & Arvind Patel & Marc Sim & Ron Weber, 2001. "Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests," Information Systems Research, INFORMS, vol. 12(4), pages 384-405, December.
    5. Kenneth Bollen, 1984. "Multiple indicators: Internal consistency or no necessary relationship?," Quality & Quantity: International Journal of Methodology, Springer, vol. 18(4), pages 377-385, August.
    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. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
    8. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
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