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Evaluating Componentized Enterprise Information Technologies: A Multiattribute Modeling Approach

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  • Joseph Sarkis

    (Clark University)

  • R.P. Sundarraj

    (University of Waterloo)

Abstract

Corporations are increasingly implementing enterprise information technologies (EITs), because of the costs of maintaining legacy systems and the lack of fit of such systems for organization-wide information sharing. A new type of EIT that is being introduced in major corporations (such as Dell Computers), is based on the idea of component systems, which are stand-alone software programs that can integrate with other such components with relative ease. Given the financial outlay for EITs, the evaluation and adoption of these systems is not something that can be completed haphazardly. This requirement is complicated by the relative infancy of models for the evaluation of componentized EITs. To this end, in this paper, we introduce a managerial multistage multiattribute decision model, consisting of the Analytical Hierarchy Process (AHP) model and the Supermatrix approach (also defined as the Analytical Network Processes (ANP) approach). This combination of models builds on earlier work that validates the Supermatrix approach for evaluating traditional EITs at a Fortune 100 organization. The aggregation of these benefits is then measured against the costs of systems, thereby arriving at a ranking of alternatives for each functional area. We illustrate the model with an example and draw managerial implications.

Suggested Citation

  • Joseph Sarkis & R.P. Sundarraj, 2003. "Evaluating Componentized Enterprise Information Technologies: A Multiattribute Modeling Approach," Information Systems Frontiers, Springer, vol. 5(3), pages 303-319, September.
    • Handle: RePEc:spr:infosf:v:5:y:2003:i:3:d:10.1023_a:1025605529006
    DOI: 10.1023/A:1025605529006
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    References listed on IDEAS

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    1. Torkzadeh, G. & Doll, W. J., 1999. "The development of a tool for measuring the perceived impact of information technology on work," Omega, Elsevier, vol. 27(3), pages 327-339, June.
    2. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    3. Rajiv D. Banker & Gordon B. Davis & Sandra A. Slaughter, 1998. "Software Development Practices, Software Complexity, and Software Maintenance Performance: A Field Study," Management Science, INFORMS, vol. 44(4), pages 433-450, April.
    4. Maryellen R. Kelley, 1994. "Productivity and Information Technology: The Elusive Connection," Management Science, INFORMS, vol. 40(11), pages 1406-1425, November.
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    Cited by:

    1. Hallikainen, Petri & Kivijärvi, Hannu & Tuominen, Markku, 2009. "Supporting the module sequencing decision in the ERP implementation process--An application of the ANP method," International Journal of Production Economics, Elsevier, vol. 119(2), pages 259-270, June.
    2. Chunguang Bai & Joseph Sarkis, 2013. "Green information technology strategic justification and evaluation," Information Systems Frontiers, Springer, vol. 15(5), pages 831-847, November.
    3. Kevin Kam Fung Yuen, 2022. "Decision models for information systems planning using primitive cognitive network process: comparisons with analytic hierarchy process," Operational Research, Springer, vol. 22(3), pages 1759-1785, July.

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