Synopses & Reviews
KEY ADVANCES IN THE SCIENCE OF DECISION MAKING:
AUTHORITATIVE NEW RESEARCH FROM DSI, THE FIELD’S LEADING ORGANIZATION
25 outstanding papers applying rigorous research methods to important societal and business decision environments
How accelerating technology innovation is transforming decision making For all decision makers, and all decision science researchers and students Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This volume brings together peer-reviewed papers chosen as “best of the best” by the field’s leading organization, the Decision Sciences Institute.
Authored by respected researchers and academics from around the world, these papers were presented at DSI’s 45th Annual Meeting in Tampa, Florida in November 2014. The authors explore multiple decision environments, from emergency response to supply chain outsourcing. They address a wide spectrum of critical issues, including better ways to utilize information systems, new opportunities to improve business operations and strategy, and new analytical techniques for healthcare and quality.
Each paper offers actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. This work also identifies important new research directions likely to shape the future of decision science.
This book brings together 25 leading-edge research projects conducted throughout the multi-disciplinary fields of decision sciences. Honored as the best work presented at DSI’s November 2014 worldwide conference, these papers show how to apply rigorous quantitative and behavioral approaches to improve performance in virtually any decision environment.
The work in this collection addresses functions including information systems, manufacturing/service management, supply chain management, finance, marketing, management, accounting, and decision support. It also addresses critical decisions made in institutional environments such as healthcare, public administration, and higher education.
The first set of papers applies advanced information systems to problems ranging from disaster response to customer satisfaction. Next, several papers apply advanced analytics to problems of healthcare management and quality assessment, introducing techniques that can be adapted to many operational environments.
You’ll find important new findings on operations research and organizational strategy, as well as valuable new insights into the decision-making impact of national culture, situational awareness, knowledge heterogeneity, and relational capital.
These papers combine deep academic rigor with wide practical value. They open fruitful new opportunities for researchers—and for everyone who makes decisions that matter.
- Pioneering quantitative and behavioral approaches, frameworks, and methodologies
- Improving decision-making through more effective use of advanced technologies
- Advanced analytics to improve healthcare outcomes
- Decision optimization in supply chains and operations management
- Operations research advances, from credit scoring to aircraft boarding
- Strategic decision-making, including impacts of corporate social responsibility
www.decisionsciences.org/Publications/Research-Books
Synopsis
Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.
About the Author
The Decision Sciences Institute (DSI) is an independent nonprofit educational multidisciplinary professional organization of academicians and practitioners interested in the application of quantitative and behavioral approaches to all managerial decision making in business, government, and society.
Through national, international, and regional conferences, competitions, and publications, the Institute provides an international forum for presenting and sharing research in the study of decision processes across disciplines. The Institute also plays a vital role in the academic community by offering professional development activities and job placement services.
Five regional subdivisions in the United States, as well as regions representing Europe, Mexico, Asia-Pacific, and the Indian subcontinent, operate independently within the Institute. Each region has its own elected officers and holds annual meetings.
Our members specialize in functional areas such as information systems, finance, marketing, management, accounting, manufacturing/service management, supply chain management, and decision support processes, as well as institutional areas such as healthcare, public administration, resource management, and higher education. They employ leading rigorous research techniques, including experimental designs, empirical quantitative analysis, optimization, simulation, surveys, and other scientific methods, while also valuing innovative methodological horizons.
The Institute’s goals are to
- enrich the diverse disciplines of the decision sciences;
- integrate these disciplines into bodies of knowledge that are effectively utilized for decision making;
- develop theoretical bases for such fundamental processes as implementation, planning, and design of decision systems; and
- improve educational programs in the decision sciences.
Merrill Warkentin is Professor of MIS and the Drew Allen Endowed Fellow in the College of Business at Mississippi State University, where he is also a member of the research staff of the Center for Computer Security Research and the Distributed Analytics and Security Institute. He was formerly the Director of the Ph.D. program in MIS. He has published more than 250 manuscripts, including 50 peer-reviewed journal articles. His work has been cited more than 7,500 times and his H-index is 23, according to Google Scholar. He has been ranked among the top 100 IS scholars in the world as reported by Venkatesh’s rankings of authors publishing in the AIS basket of top eight journals. His research, primarily in behavioral issues in information security, electronic collaboration systems, and eCommerce/eGovernment, has appeared in such journals as MIS Quarterly, Decision Sciences, European Journal of Information Systems, Decision Support Systems, Information Systems Journal, Communications of the ACM, Communications of the AIS, The DATABASE for Advances in Information Systems, Information Resources Management Journal, Journal of Organizational and End User Computing, Journal of Global Information Management, and others. Professor Warkentin is the author or editor of six books, including Enterprise Information Systems Assurance and System Security: Managerial and Technical Issues.
Dr. Warkentin is currently an associate editor (AE) of MIS Quarterly, Decision Sciences, European Journal of Information Systems, Information & Management, Information Resources Management Journal, Journal of Information Systems Security, and Journal of Information Science and Technology, and has previously served as AE of other journals. He is senior editor of the new AIS Transactions on Replication Research and Eminent Area Editor for Decision Sciences journal. He will Co-Chair AMCIS2016 and has held leadership positions for numerous international IS conferences, including Track Chair for DSI, ICIS, AMCIS, and ECIS, and Program Chair for WISE2007, WISP2009, and the 2009 IFIP Workshop on IS Security Research. Dr. Warkentin is the Chair of the UN-sponsored IFIP Working Group on Information Systems Security Research (WG8.11/11.13) and the AIS Departmental Editor for Security and Privacy. In 2014, he chaired the search committee to select the editor-in-chief of the Decision Sciences journal.
Dr. Warkentin has served as a consultant to numerous companies and organizations and has been a featured speaker at almost 200 industry association meetings, executive development seminars, and academic conferences. He has been a Lecturer at the Army Logistics Management College and was named a “National Distinguished Lecturer” by the Association for Computing Machinery (ACM). He has been a visiting professor or invited speaker at more than 25 universities, including Georgia State, LSU, Florida State, Indiana, Clemson, Copenhagen Business School, McMaster, Fudan, Oulu, Jyväskylä, and others. His research has been funded by the UN, IBM, NSA, DoD, US Navy, Homeland Security, and others. He was previously on the faculty at George Mason University and held the Reisman Research Professorship at Northeastern University in Boston, where he was also the Director of MIS and eCommerce programs at both the graduate and undergraduate levels. Professor Warkentin’s Ph.D. in MIS is from the University of Nebraska-Lincoln. He can be reached at [email protected]
Table of Contents
Foreword xv
Acknowledgments xvii
About the Author xviii
Introduction xx
Chapter 1: Disaster Response: Exploring the Impact on Area Emergency Services 1
Abstract 1
Introduction 1
Literature Review 2
Research Methodology 4
Results and Discussion 5
Conclusions 8
References 9
About the Authors 10
Chapter 2: Toward Tornado Prediction through Neural Modeling of Radar-Indicated Storm Features 11
Abstract 11
Introduction 11
Meteorological Background 12
Methods 14
Results 16
Discussion and Conclusions 19
References 19
About the Authors 20
Chapter 3: Use of Social Media in Disaster Management 21
Abstract 21
Introduction 21
Disaster Management Phases 22
Social Media Technology in Disaster Management 23
Methods 24
Results 24
Conclusions 25
References 26
About the Authors 27
Chapter 4: A Social Network Analysis of NFL Coaches 28
Abstract 28
Introduction 28
Literature Review 29
Model Development 29
Results and Dicussion 31
Conclusions 34
References 34
About the Authors 35
Chapter 5: Hotel Guest Satisfaction and Dissatisfaction Determination among Various Demographics 36
Abstract 36
Introduction 36
Literature Review 38
Hypotheses Development 40
Methodology 41
Results 43
Discussions 45
Conclusions and Extensions 52
References 54
About the Authors 56
Chapter 6: CRM Maturity and Its Impact on B2B Customer Satisfaction: An Empirical Study 57
Abstract 57
Introduction 57
Case Background 58
Crm Maturity 58
Linking Crm Maturity and Customer Satisfaction 59
Implications 60
References 61
About the Authors 61
Chapter 7: Optimal Design of Discrete Dutch Auction with Limited Running Time 62
Abstract 62
Introduction 62
Literature Survey 63
Dutch Auction Models with Discrete Bidding 65
Numerical Results 67
Conclusions and Discussion 69
References 69
About the Authors 71
Chapter 8: A Text Mining Approach for Exploring Service Quality in Healthcare 72
Abstract 72
Introduction 72
Literature Review 73
Analysis and Results 76
Discussion and Conclusions 79
References 80
About the Authors 82
Chapter 9: Improving Timely Administration of Inhaled Medications in Hospitals 83
Abstract 83
Introduction 83
Literature Review 85
Staggered Medication Schedules and Clinician Dispatching 89
Computational Study, Results, and Discussion 94
Conclusions 97
References 97
About the Authors 99
Chapter 10: Kidney Allocation in Dual-Organ Transplantations 101
Abstract 101
Introduction 101
Literature Review 102
Model Development 104
Results and Dicussion 105
Conclusions 108
References 108
About the Authors 108
Chapter 11: Roadmap for Transformational Change in a Hospital Setting: Longitudinal View 110
Abstract 110
Introduction 110
Methodology 113
Organizational Development (OD) Model Sequence 118
Monitor and Measure the Results 124
Conclusions 126
References 126
Appendix A 129
About the Authors 130
Chapter 12: Managing Globally Diverse Service Employees in Segmented Markets 131
Abstract 131
Introduction 131
Literature Review 133
Background Theory and Hypotheses 135
Conclusions 142
References 143
About the Authors 145
Chapter 13: Leading to Live: Factors Affecting Team Outcomes in Near-Death Encounters 147
Abstract 147
Introduction 147
Literature Review 148
Research Model and Hypotheses 151
Research Design and Methods 153
Findings and Discussion 158
Limitations 162
Implications for Practice and Future Research 162
Appendix A: Summary of Original Measures 163
Appendix B: Common Method Bias with Common Latent Factor Results 166
Appendix C: Cronbach’s Alpha 167
Appendix D: Model in AMOS 167
Appendix E: CFA 168
Appendix F: Factor Correlation Matrix 169
References 169
About the Authors 174
Chapter 14: Impact of Relational Capital and Knowledge Heterogeneity on Knowledge Integration in Software Teams 175
Abstract 175
Introduction 175
Theory and Hypotheses 176
Scale Development and Data Collection 180
Analysis and Results 182
Discussion and Conclusions 184
References 185
Appendix 189
About the Author 190
Chapter 15: Delays in Projects: A Game Theoretic Study 191
Abstract 191
Introduction 191
Literature Review 192
Preliminaries, Model Development, and Results 194
Discussion of Results 205
Conclusions 208
References 209
About the Authors 212
Chapter 16: Resources and Operational Performance: An Empirical Assessment 213
Abstract 213
Introduction 213
Literature Review 214
Theoretical Development 215
Method 217
Results 220
Conclusions 222
References 223
Appendix A: Measurement Scales for Resources 224
Appendix B: Measurement Scales for Operational Performance 225
About the Authors 226
Chapter 17: Satisfying Warranty Claims on an Obsolete Product 227
Abstract 227
Introduction 227
Elements of the Component Phaseout Announcement Problem 228
Literature Review 228
Models and Analyses 230
Summary of Lessons for Managers 239
References 240
Appendix 241
About the Authors 247
Chapter 18: Channel Structure Decisions for Manufacturers with Service Outsourcing 248
Abstract 248
Introduction 248
The Model 249
Equilibrium Analysis 250
Conclusions 252
References 252
About the Authors 253
Chapter 19: Financial Implications of JIT Logistics and Defect Bullwhip Effect 254
Abstract 254
Introduction 254
Literature Review 255
Modeling and Analysis of Propagation of Defects in a Supply Chain 256
Numerical Example of Financial Performance Analysis 259
Discussion and Conclusions 261
References 261
About the Authors 263
Chapter 20: Do Competing Suppliers Maximize Profits as Theory Suggests? An Empirical Evaluation 264
Abstract 264
Introduction 264
Literature Review 266
Theoretical Background 267
Hypotheses 271
Experimental Design 272
Results 273
Discussion 275
Conclusions 278
References 278
Appendix A 280
About the Authors 280
Chapter 21: Finding Relevant Variables and Interactions in Neural Network Credit Scoring Models 281
Abstract 281
Introduction 281
Literature Review 282
Credit Scoring Neural Networks with Augmented Input 286
Experimental Results 289
Discussion and Conclusions 293
References 294
About the Author 296
Chapter 22: Airline Structural Design Choices: Panel Data Analysis 297
Abstract 297
Motivation 297
Service System Design Theory 298
Data and Experimental Methodology 300
Discussion of Model Estimates 308
Conclusions and Implications 309
References 310
About the Authors 312
Chapter 23: A Review of Heuristic and Optimal Aircraft Boarding Strategies in the U.S. Airline Industry 313
Abstract 313
Introduction 313
Survey of Boarding Strategies 314
Realities on Aircraft Boarding 327
Concluding Remarks 328
References 329
About the Author 330
Chapter 24: Effects of Strategic Orientations and New Service Development Performance 331
Abstract 331
Introduction 331
Literature Review 332
Theoretical Development/Model 333
Research Methods 336
Data Analysis and Resuts 338
Discussion and Conclusions 341
References 343
About the Authors 349
Chapter 25: Productivity: A Mediator of the Relationship between CSR and Performance 350
Abstract 350
Introduction 350
Literature Review and Hypotheses 351
Methods 354
Analysis and Results 356
Discussion 362
References 363
About the Authors 366
Index 367