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A zero-one goal programming approach for information system project selection

Author

Listed:
  • Santhanam, R
  • Muralidhar, K
  • Schniederjans, M

Abstract

This paper presents a multi-objective model that can be used to help information systems (IS) managers decide which IS projects should be selected for development and implementation in a constrained resource environment. Developed to overcome the problems observed in currently used IS selection procedures, the model presented in this paper can be used to make decisions when IS selection goals are conflicting and measured in incommensurable units. To illustrate the use of this multi-objective approach to model IS project selection, a corporate resource allocation problem is developed and solved. Comparative results with currently used scoring and ranking methods reveals the superiority of the proposed multi-objective model.

Suggested Citation

  • Santhanam, R & Muralidhar, K & Schniederjans, M, 1989. "A zero-one goal programming approach for information system project selection," Omega, Elsevier, vol. 17(6), pages 583-593.
    • Handle: RePEc:eee:jomega:v:17:y:1989:i:6:p:583-593
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    Citations

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    Cited by:

    1. Mavrotas, G. & Diakoulaki, D. & Caloghirou, Y., 2006. "Project prioritization under policy restrictions. A combination of MCDA with 0-1 programming," European Journal of Operational Research, Elsevier, vol. 171(1), pages 296-308, May.
    2. Santhanam, Radhika & Kyparisis, George J., 1996. "A decision model for interdependent information system project selection," European Journal of Operational Research, Elsevier, vol. 89(2), pages 380-399, March.
    3. Mavrotas, George & Diakoulaki, Danae & Kourentzis, Athanasios, 2008. "Selection among ranked projects under segmentation, policy and logical constraints," European Journal of Operational Research, Elsevier, vol. 187(1), pages 177-192, May.
    4. repec:dgr:rugsom:95b26 is not listed on IDEAS
    5. Medaglia, Andres L. & Graves, Samuel B. & Ringuest, Jeffrey L., 2007. "A multiobjective evolutionary approach for linearly constrained project selection under uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 869-894, June.
    6. Tavana, Madjid & Khosrojerdi, Ghasem & Mina, Hassan & Rahman, Amirah, 2019. "A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process," Evaluation and Program Planning, Elsevier, vol. 77(C).
    7. Madjid Tavana, 2003. "CROSS: A Multicriteria Group-Decision-Making Model for Evaluating and Prioritizing Advanced-Technology Projects at NASA," Interfaces, INFORMS, vol. 33(3), pages 40-56, June.
    8. Huizingh, Eelko K.R.E. & Vrolijk, Hans C.J., 1995. "Decision support for information systems management : applying analytic hierarchy process," Research Report 95B26, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

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