Selecting IT applications in manufacturing: a KBS approach |
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Authors: | Ravi Kathuria Murugan Anandarajan Magid Igbaria |
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Institution: | a Department of Management and Information Systems, Haub School of Business, Saint Joseph's University, 5600 City Avenue, Philadelphia, PA 19131, USA;b Department of Management, Drexel University, 32nd and Arch Streets, Philadelphia, PA 19104, USA;c Information Science, Claremont Graduate University 130 East Ninth Street, Claremont, CA 91711, USA;d Faculty of Management, Tel Aviv University, Tel Aviv, Ramat Aviv 69978, Israel |
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Abstract: | 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 facilitate effective and swift decision-making in the selection of appropriate IT applications that best match an organization's manufacturing strategy. |
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Keywords: | Information Technology Manufacturing strategy Rule induction Operations management Expert systems |
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