Article ID: | iaor20051782 |
Country: | South Korea |
Volume: | 21 |
Issue: | 1 |
Start Page Number: | 113 |
End Page Number: | 129 |
Publication Date: | May 2004 |
Journal: | Korean Management Science Review |
Authors: | Ha Sung Ho, Nam Mi-Sung |
Keywords: | artificial intelligence: decision support, e-commerce, analytic hierarchy process |
Nowadays many enterprises build e-procurement systems. An e-procurement is a Web-based procurement process and its functionalities are considered important in the B2B e-commerce. Buyers should select competent suppliers for a successful e-procurement. Therefore, this study proposes a method using the analytic hierarchy process (AHP) for building a Web-based supplier selection system. In detail, the purpose of this study is (1) to review methods previously used when buyers select suppliers and to extract important selection criteria: (2) to explain extended AHP method adopted by this study among supplier selection methods: (3) to describe the supplier selection steps using extended AHP: and (4) to propose a decision support system embedding the methodology described above. The proposed system comprises three phases: first phase is to evaluate suppliers on enterprise level: second phase to evaluate them on each transaction level: third phase to post-evaluate them.