Article ID: | iaor2001322 |
Country: | United Kingdom |
Volume: | 27 |
Issue: | 6 |
Start Page Number: | 605 |
End Page Number: | 616 |
Publication Date: | Dec 1999 |
Journal: | OMEGA |
Authors: | Igbaria Magid, Anandarajan Murugan, Kathuria Ravi |
Keywords: | artificial intelligence: expert systems |
The use of the right type of Information Technology (IT) applications or manufacturing systems is expected to usher in a competitive advantage. Selection of the right type of IT application is, however, a challenging task. When a company, with a given dominant process structure, emphasizes two or more competitive priorities, such as quality, product flexibility, etc., an unaided manager faces a complex decision problem in choosing from alternative IT applications available in the areas of product design through distribution. In this paper, we present a Knowledge Based System (KBS) that would assist managers with the identification of IT applications that are consistent with both the competitive priorities and the process structure. Validation of the system illustrates that its performance is consistent with the human experts, and it has the potential to faciliate effective and swift decision-making in the selection of appropriate IT applications that best match an organization's manufacturing strategy.