Decision Support Systems: Concepts and Resources for Managers

Front Cover
Bloomsbury Academic, Mar 30, 2002 - Business & Economics - 251 pages
Tables and Figures p. ix Preface p. xi Acknowledgments p. xv 1 Supporting Business Decision Making p. 1 Introduction p. 1 A Brief History of Decision Support Systems p. 2 A Conceptual Perspective p. 5 Decision Support vs. Transaction Processing Systems p. 8 Categorizing DSS Applications and Products p. 9 An Expanded Decision Support System Framework p. 12 Building Decision Support Systems p. 16 Conclusions and Commentary p. 19 2 Gaining Competitive Advantage with Decision Support Systems p. 21 Introduction p. 21 Technology Trends p. 22 Gaining Competitive Advantage p. 23 How Can DSS Provide a Competitive Advantage? p. 26 What Companies Have Gained an Advantage with DSS? p. 27 Some Examples of Strategic DSS p. 27 Identifying Opportunities and Information Systems Planning p. 30 DSS Benefits, Limitations, and Risks p. 32 Resistance to Using Decision Support Systems p. 34 Conclusions and Commentary p. 35 3 Analyzing Business Decision Processes p. 37 Introduction p. 37 Managerial Decisions p. 37 Decision-Making Context p. 41 Decision-Making Processes p. 43 "Good" Decision Making p. 48 Redesigning Decision Processes p. 50 Conclusions and Commentary p. 52 4 Designing and Developing Decision Support Systems p. 55 Introduction p. 55 Overview of Design and Development Issues p. 55 Decision-Oriented Diagnosis p. 57 Prepare a Feasibility Study p. 59 Choose a Development Approach p. 61 DSS Project Management p. 65 DSS Project Participants p. 67 Conclusions and Commentary p. 69 5 Designing and Evaluating Dss User Interfaces p. 71 Introduction p. 71 User Interfaces: An Overview p. 72 User Interface Styles p. 73 ROMC Design Approach p. 75 Building the DSS User Interface p. 77 Comments on Design Elements p. 79 Guidelines for Dialog and User Interface Design p. 81 Factors Influencing User Interface Design Success p. 82 Conclusions and Commentary p. 84 6 Understanding Dss Architecture, Networking, and Security Issues p. 87 Introduction p. 87 DSS Architecture and IS/IT Infrastructure p. 88 Networking Issues p. 94 Improving Security for Decision Support Systems p. 97 Conclusions and Commentary p. 102 7 Implementing Communications-Driven and Group Decision Support Systems p. 103 Introduction p. 103 Key Terms p. 104 Group Decision Support Situations p. 105 Communication and Group Support Tools p. 107 A Managerial Perspective on Communications-Driven DSS p. 111 A Contingency Theory p. 112 Group Decision Support Systems Benefits p. 115 Virtual Organizations p. 116 Evaluating Communications and Group Support Tools p. 120 Conclusions and Commentary p. 120 8 Building Data and Document-Driven Decision Support Systems p. 123 Introduction p. 123 Comparing Data and Document-Driven DSS p. 124 Data-Driven DSS Subcategories p. 125 Comparing DSS Data and Operating Data p. 130 An Interconnected Data-Driven DSS Architecture p. 133 Implementing a Data-Driven DSS p. 134 Finding Success p. 137 Conclusions and Commentary p. 138 9 Building Knowledge-Driven Dss and Mining Data p. 141 Introduction p. 141 Key Terms and Concepts p. 142 Characteristics of Knowledge-Driven DSS p. 144 Managing Knowledge-Driven DSS Projects p. 145 Knowledge-Driven DSS Examples p. 147 Data Mining and Creating Knowledge p. 149 Data Mining Examples p. 153 Evaluating Development Packages p. 154 Conclusions and Commentary p. 154 10 Building Model-Driven Decision Support Systems p. 157 Introduction p. 157 Modeling Decision Situations p. 158 Accounting and Financial Models p. 161 Decision Analysis Models p. 165 Forecasting Models p. 167 Network and Optimization Models p. 169 Simulation Models p. 171 Modeling Languages and Spreadsheets p. 173 Model-Driven DSS Airline Industry Examples p. 176 Conclusions and Commentary p. 176 11 Building Web-Based and Interorganizational Decision Support Systems p. 179 Introduction p. 179 Key Terms p. 180 Designing and Developing Web-Based DSS p. 181 Managing Web-Based and Interorganizational DSS p. 184 Examples of Web-Based DSS Development Software p. 186 Examples of Web-Based DSS p. 188 Companies with Web-Based DSS p. 189 Advantages and Disadvantages of Web-Based DSS p. 191 Conclusions and Commentary p. 192 12 Evaluating Decision Support System Projects p. 195 Introduction p. 195 DSS Project Evaluation Process p. 196 Evaluation Tools and Techniques p. 198 DSS Project Evaluation Criteria and Risk Factors p. 204 International and Cultural Issues p. 205 Ethics and Privacy Issues p. 207 Conclusions and Commentary p. 208 Appendix I Decision Support Readiness Audit p. 211 Appendix II Dss User-Centered Design Checklist p. 217 Appendix III Key Decision Support System Terms p. 221 References p. 237 Index.

About the author (2002)

DANIEL J. POWER is Professor of Information Systems and Management at the College of Business Administration, University of Northern Iowa, Cedar Falls. He holds a doctorate in Business Administration from the University of Wisconsin-Madison, has developed decision support software and systems, and has examined the impacts of DSS on managers in his research studies. Power has published numerous book chapters and proceedings papers and has authored more than 20 articles for the important journals of his field. He also serves as Editor of, the knowledge repository about computerized systems that support decision making.

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