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An AHP analysis of quality in AI and DSS journals


  • Forgionne, Guisseppi A.
  • Kohli, Rajiv
  • Jennings, Darniet


Over the years, a number of researchers have assessed the quality of information systems (IS) journals. Most of these studies have assessed general IS journals, but few have specifically examined journals that focus on decision-making support systems. Furthermore, even though there are many factors that measure journal quality, very few gauges have been used in the previous evaluations. Recently, the authors reported a study that utilized the analytical hierarchy process to evaluate 20 top decision-making support system journals. This paper extends the earlier work by providing separate ratings for artificial intelligence and decision support system journals. Initially, the article reviews the criteria and AHP methodology to evaluate decision-making support system journal quality. Next, there is an updated discussion of the data collection process and the resulting multiple criteria evaluation. The paper concludes with a summary of the evaluation and the implications for information systems theory and practice.

Suggested Citation

  • Forgionne, Guisseppi A. & Kohli, Rajiv & Jennings, Darniet, 2002. "An AHP analysis of quality in AI and DSS journals," Omega, Elsevier, vol. 30(3), pages 171-183, June.
  • Handle: RePEc:eee:jomega:v:30:y:2002:i:3:p:171-183

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    References listed on IDEAS

    1. Donohue, Joan M. & Fox, Jeremy B., 2000. "A multi-method evaluation of journals in the decision and management sciences by US academics," Omega, Elsevier, vol. 28(1), pages 17-36, February.
    2. Kleijnen, J.P.C. & van Groenendaal, W.J.H., 2000. "Measuring the Quality of Publications : New Methodology and Case Study," Discussion Paper 2000-37, Tilburg University, Center for Economic Research.
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    Cited by:

    1. Meløn, Mønica García & Aragonés Beltran, Pablo & Carmen González Cruz, M., 2008. "An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study," Omega, Elsevier, vol. 36(5), pages 754-765, October.
    2. Serenko, Alexander, 2010. "The development of an AI journal ranking based on the revealed preference approach," Journal of Informetrics, Elsevier, vol. 4(4), pages 447-459.
    3. Holsapple, Clyde W. & Lee-Post, Anita, 2010. "Behavior-based analysis of knowledge dissemination channels in operations management," Omega, Elsevier, vol. 38(3-4), pages 167-178, June.
    4. Serenko, Alexander & Dohan, Michael, 2011. "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence," Journal of Informetrics, Elsevier, vol. 5(4), pages 629-648.
    5. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.


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