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The evaluation of DSS groups
Affiliation:1. School of Computer and Information Engineering, Hubei Normal University, Huangshi, China;2. Information Retrieval & Knowledge Management Research Lab, School of Information Technology, York University, Toronto, Canada;3. Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, School of Mathematics and Statistics, National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, China;4. Faculty of Engineering, McMaster University, Hamilton, Ontario, Canada;5. Faculty of Science and Technology, Huzhou College, Huzhou, China
Abstract:DSS research has largely ignored evaluation procedures for organizational units which support DSS work. This article reports on a study to explore evaluation variables and procedures for DSS groups. It suggests the importance of multiple perspectives in evaluation and identifies evaluation variables relevant to these perspectives. Recommendations are made for evaluating DSS groups by matching evaluation variables with appropriate evaluation techniques.
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