Article ID: | iaor1989828 |
Country: | Netherlands |
Volume: | 17 |
Issue: | 1 |
Start Page Number: | 49 |
End Page Number: | 65 |
Publication Date: | Aug 1989 |
Journal: | Information and Management |
Authors: | Le Blanc Louis A., Jelassi M. Tawfik |
Keywords: | artificial intelligence: decision support |
This paper illustrates an evaluation methodology for DSS software selection. The methodology incorporates three stages: (1) DSS software screening; (2) generator evaluation; and, (3) specific DSS design. Initially, developing a short list through screening of DSS software determines whether an appropriate package exists and narrows the field of available generator products for detailed consideration. The second stage determines which of the remaining generators (the finalists) best meets the needs of the organization, from both functional and technical perspectives. The final stage compares user requirements with the features of the selected DSS software by defining how these requirements will be satisfied by specific DSS applications built using the DSS generator. The methodology also controls for the possibility that no generator product is suitable and that specific DSS must be constructed from DSS tools. No other reported evaluation and selection approach offers this device. A case example demonstrating the applicability of the suggested methodology is given, and the impact of DSS software on the development of specific DSS is discussed.