Synopsis
For scholars of information systems technology and DSS, Eom (management information systems, Southeast Missouri State U.) presents an intellectual history of Decision Support Systems (DSS) from 1969 to 2004, considering the intellectual structure, major themes, and reference disciplines, as well as the relationship between DSS and other disciplines and the contributions of multi-criteria decision making, systems science, and cognitive science to the development of subspecialties. Other topics consist of research methods and data and foundational concepts and subsystems. Eom aims to clarify the reference disciplines and build a cumulative tradition for further inquiry in the field. The volume has been updated to include articles and citations through 2004, and three chapters have been rewritten, on applications and the theory-practice divide. Two appendices have been omitted. Several chapters were reproduced or adapted from earlier articles. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)
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About the Author
Dr. Sean Eom is Professor of Management Information Systems at Southeast Missouri State University. In recognition of excellence in scholarly activities and research, he was appointed as Copper Dome Faculty Fellow in Research in Donald L. Harrison College of Business during the 1994-1996 and 1998-2000 academic years. He received a PhD in Management Science from the University of Nebraska - Lincoln.
Review
"... this book provides a current view of the DSS discipline and also presents the author's views of where the DSS research is heading... Volumes that provide such overall view of a discipline provide a great service to all the stakeholders in a field. It is heartening to see the role of individual contributions in a forest perspective. For the new students in DSS, it offers a great service to know where we have been and where we are going. I recommend this book to all researchers interested in Decision Support Systems." - Dr. Ramesh Sharda Regents Professor of Management Science and Information Systems Oklahama State University"
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The Development of Decision Support Systems Research: A Bibliometrical Approach
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