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Introduction to the Book |
6 |
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Preface |
10 |
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Acknowledgements |
14 |
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Contents |
16 |
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About the Editors |
20 |
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Notes on Contributors |
22 |
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List of Figures |
26 |
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List of Tables |
30 |
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Part I: Theory |
32 |
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1: Engaging with Behavioral Operational Research: On Methods, Actors and Praxis |
33 |
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1.1 Introduction |
33 |
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1.2 OR Methods, OR Actors, OR Praxis |
36 |
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1.3 An Integrative Framework to Study Behavior in OR |
37 |
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1.3.1 Focus on OR Methods |
39 |
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1.3.2 Focus on OR Actors |
41 |
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1.3.3 Focus on OR Praxis |
42 |
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1.4 Implications of a Behavioral Perspective for OR |
44 |
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1.4.1 Foregrounding OR Praxis in Academic Papers |
44 |
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1.4.2 Evaluating Impact of Diverse OR Actors |
44 |
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1.4.3 Developing Different Competences in OR |
45 |
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1.4.4 Grounding BOR Studies on Relevant Theories? |
45 |
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1.5 Conclusions |
46 |
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1 https://www.theorsociety.com/Pages/SpecialInterest/Behaviouralor.aspx. |
34 |
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References |
47 |
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2: Behavior with Models: The Role of Psychological Heuristics in Operational Research |
56 |
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2.1 Introduction |
56 |
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2.2 The Conceptual Foundation of Psychological Heuristics |
58 |
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2.3 Models of Psychological Heuristics |
61 |
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2.4 When to Use Psychological Heuristics and When Not To |
65 |
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2.5 Conclusions |
69 |
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References |
70 |
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3: Behavior in Models: A Framework for Representing Human Behavior |
75 |
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3.1 Introduction |
75 |
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3.2 A Framework for Modeling Human Behavior |
77 |
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3.2.1 Simplify (Eliminate Human Behavior by Simplification) |
79 |
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3.2.2 Externalize (Incorporate Human Behavior Outside of the Model) |
79 |
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3.2.3 Flow (Model Humans as Flows) |
80 |
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3.2.4 Entity (Model Human as a Machine or Material) |
80 |
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3.2.5 Task (Model Human Performance) |
81 |
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3.2.6 Individual (Model Human Behavior) |
83 |
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3.3 Evaluating the Framework |
84 |
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3.4 Conclusion |
88 |
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References |
88 |
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4: Behavior Beyond the Model |
92 |
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4.1 Introduction |
92 |
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4.2 A Philosophical and Theoretical Basis for Behavior in the Process of OR |
93 |
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4.2.1 Representing and Intervening |
93 |
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4.3 Behavior and OR Beyond the Model |
95 |
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4.3.1 Internalization and Externalization |
96 |
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4.3.2 The Individual or the Group: Procedural Rationality and Satisficing |
97 |
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4.4 Collective Behavior: Emergent Property for Behavior Beyond the Model |
100 |
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4.5 Further Understanding of the Map |
102 |
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4.5.1 Southeast Quadrant: Collective Efficacy |
102 |
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4.5.2 Northwest Quadrant: Shared Mental Models |
103 |
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4.5.3 Southwest Quadrant: Social Learning |
104 |
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4.6 Discussion and Conclusion |
105 |
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References |
107 |
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Part II: Methodology |
112 |
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5: Simulation and Laboratory Experiments: Exploring Self-Organizing Behavior in a Collective Choice Model |
113 |
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5.1 Introduction |
113 |
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5.2 Behavioral Models of Queues |
115 |
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5.3 An Agent-Based Approach |
118 |
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5.4 An Experimental Approach |
122 |
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5.5 Discussion and Conclusions |
127 |
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References |
128 |
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6: Misperception of Behavioral Operations and Bodies of Knowledge |
131 |
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6.1 Introduction |
131 |
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6.2 Misperceptions of Feedback Structure |
135 |
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6.2.1 Heuristics |
136 |
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6.2.2 Cognitive Biases |
137 |
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6.2.3 Motivation |
138 |
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6.2.4 Fundamental Attribution Error |
138 |
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6.3 Misperception of Feedback Dynamics |
140 |
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6.3.1 Study Context |
140 |
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6.3.2 Model Description |
141 |
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6.3.3 Experimental Protocol |
143 |
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6.3.4 Retailers’ Orders Experiment |
144 |
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6.3.5 Suppliers’ Capacity Experiment |
145 |
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6.3.6 Results |
146 |
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6.3.6.1 Heuristics |
151 |
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6.3.6.2 Heuristic Estimations |
151 |
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6.4 Behavioral Implications |
156 |
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6.5 Conclusions |
157 |
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References |
158 |
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7: Agent-Based Models and Behavioral Operational Research |
162 |
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7.1 Introduction |
162 |
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7.2 Complex Systems of Interacting Individuals |
164 |
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7.2.1 Complex Systems |
164 |
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7.2.2 Agent-Based Modeling |
165 |
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7.3 Introducing Behavior to Existing Modeling Techniques |
168 |
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7.3.1 Tipping Points from Individual Behavior: Segregation Models |
169 |
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7.3.2 Individualizing Systems Models: Predator–Prey Models |
171 |
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7.3.3 Power Laws: Forest Fire Models |
174 |
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7.4 A Research Agenda for Agent-Based Behavioral Operational Research |
178 |
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7.4.1 Which Behavioral Characteristics Matter? |
179 |
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7.4.2 Defining Order Parameters for Systems Where Intra-Model Behavior is Important |
179 |
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7.4.3 Quantized/Individual Behavior Is Important: “Agentization” of Models |
179 |
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7.4.4 Toy Models for Behavioral Operational Research: Agent-Based Facilitation |
180 |
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References |
181 |
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8: Modeling Behavioral Decision Making: Creation and Representation of Judgment |
185 |
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8.1 Introduction |
185 |
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8.2 Research on Judgment: Brunswikian Principles |
186 |
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8.2.1 Considerations on Behavioral Experiments from a Brunswikian Perspective |
187 |
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8.3 Modeling Behavioral Decision Making |
188 |
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8.3.1 Basic Process of Knowledge Creation |
189 |
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8.3.2 Information Selection and Its Influence on Decision Making |
191 |
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8.3.3 Environmental Influence on the Process of Information Selection and Its Consequence on Decision Making |
196 |
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8.4 Final Considerations |
197 |
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References |
198 |
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9: Big Data and Behavior in Operational Research: Towards a “Smart OR” |
200 |
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9.1 Introduction |
200 |
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9.2 Big Data and Decision Analysis |
202 |
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9.3 Big Data Analytics |
205 |
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9.4 Big Data and Behavior |
206 |
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9.5 Behavior and Decision-Making with Large Amounts of Data |
207 |
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9.6 Influencing Collective Behavior |
211 |
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9.7 Conclusion |
213 |
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References |
214 |
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10: Behavioral Issues in the Practical Application of Scenario Thinking: Cognitive Biases, Effective Group Facilitation and Overcoming Business-as-Usual Thinking |
217 |
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10.1 Introduction |
217 |
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10.2 The Prevalence of Business-as-Usual Thinking in Organizations |
218 |
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10.2.1 Scenarios as an Antidote |
221 |
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10.3 The Prevalence of Heuristics and Potential Biases within Scenario Thinking |
222 |
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10.4 Facilitating Scenario Interventions within Organizations |
226 |
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10.5 Conclusions |
230 |
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References |
231 |
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11: The Impact of Group Model Building on Behavior |
235 |
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11.1 Introduction |
235 |
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11.2 Group Model Building in Practice |
236 |
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11.3 First Wave: Reviews of Assessment Studies |
241 |
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11.4 Second Wave: Participants as Recipients of Information |
244 |
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11.5 Third Wave: Participants as Sources of Information |
250 |
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11.6 Fourth Wave: Interaction Between Contributing and Receiving of Information |
253 |
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11.7 Conclusion |
256 |
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References |
260 |
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Part III: Practice |
264 |
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12: Overview: Behavioral Operational Research in Practice |
265 |
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12.1 Introduction |
265 |
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12.2 History and Developments |
266 |
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12.2.1 Making the Case for BOR |
268 |
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12.2.2 Education for BOR |
268 |
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12.2.3 BOR and Strategy Support |
268 |
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12.3 BOR in Practice |
269 |
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12.3.1 The Incorporation of Behavioral Factors in Models |
269 |
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12.3.2 Modeling of Behavior |
271 |
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12.3.3 Behavior Influenced by Models |
272 |
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12.3.4 An Outlook |
275 |
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12.4 Conclusion |
275 |
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12.4.1 Notes |
277 |
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References |
279 |
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13: Healthcare: Human Behavior in Simulation Models |
282 |
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13.1 Introduction |
282 |
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13.1.1 Context |
282 |
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13.1.2 Personal Perspective |
283 |
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13.1.3 The Need to Model Human Behavior |
284 |
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13.1.4 Focus of This Chapter |
285 |
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13.2 Simulation in Health |
286 |
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13.2.1 Discrete-Event Simulation |
286 |
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13.2.2 System Dynamics |
287 |
|
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13.2.3 Agent-Based Modeling |
287 |
|
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13.2.4 Microsimulation |
288 |
|
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13.3 Models from Health Psychology |
288 |
|
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13.3.1 The Health Belief Model |
288 |
|
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13.3.2 The Theory of Planned Behavior |
289 |
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13.4 Case Study 1: Screening for Diabetic Retinopathy |
290 |
|
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13.4.1 The HBM-PECS Model |
291 |
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13.4.2 Calculating the Probability of Attendance |
292 |
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13.4.3 Reflections |
293 |
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13.5 Case Study 2: Screening for Breast Cancer |
293 |
|
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13.5.1 The Mammography Model |
293 |
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13.5.2 The TPB Model |
294 |
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13.5.3 Baker and Atherill’s Method |
295 |
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13.5.4 Results |
295 |
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13.5.5 Sensitivity Analysis of the TPB Variables |
295 |
|
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13.5.6 Reflections |
296 |
|
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13.6 Conclusion |
296 |
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References |
297 |
|
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14: Service Operations: Behavioral Operational Research in British Telecommunications |
300 |
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14.1 Introduction |
300 |
|
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14.1.1 OR in the Telecoms Industry |
301 |
|
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14.1.2 A Brief History of BT |
302 |
|
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14.1.3 Behavioral OR in BT |
303 |
|
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14.2 Methodology for Behavioral Studies |
303 |
|
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14.3 Behavioral OR in BT |
307 |
|
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14.3.1 Managing the Workforce |
307 |
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14.3.2 Workforce Optimization |
309 |
|
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14.3.3 Issues in Forecasting |
310 |
|
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14.3.4 Issues in Planning |
311 |
|
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14.3.5 Issues in Scheduling |
313 |
|
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14.3.6 Issues in Rostering |
314 |
|
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14.3.7 Understanding Customer Behavior |
315 |
|
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14.4 Conclusions |
316 |
|
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References |
317 |
|
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15: Smart Cities: Big Data and Behavioral Operational Research |
322 |
|
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15.1 Introduction |
322 |
|
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15.2 Context for SMART OR |
323 |
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15.2.1 CASE 1: The STEEP Project |
323 |
|
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15.2.2 CASE 2: The Future City Demonstrator: Big Open Data in the SMART City Ecosystem |
327 |
|
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15.2.3 CASE 3: The City Dashboard: Co-creating Visual Interfaces |
329 |
|
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15.3 Discussion and Conclusion |
331 |
|
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References |
334 |
|
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16: Mergers and Acquisitions: Modeling Decision Making in Integration Projects |
338 |
|
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16.1 Introduction |
338 |
|
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16.2 How to Model Behavior: Illustrative Model of an M&A Integration Project |
340 |
|
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16.2.1 Typical Patterns of Behavior |
340 |
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16.2.2 Feedback Structure |
343 |
|
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16.3 How Models Behave: Simulation Experiments |
350 |
|
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16.4 Discussion |
353 |
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References |
354 |
|
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17: Supporting Strategy: Behavioral Influences on Resource Conceptualization Processes |
356 |
|
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17.1 Introduction |
356 |
|
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17.2 The Role of Group Decision Making Processes During the Development of Strategies Using Strategic Resources |
357 |
|
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17.3 Observational Study |
359 |
|
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17.3.1 Operationalization of the Group Behavioral Dynamic Process |
360 |
|
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17.4 Results |
361 |
|
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17.4.1 Quantitative Analysis of the Group Behavioral Dynamic Process |
361 |
|
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17.4.2 Qualitative Analysis of the Group Behavioral Dynamic Process |
362 |
|
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17.4.2.1 Group A: Incremental and Causal Linkage-Oriented Resource Conceptualization Process |
362 |
|
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17.4.2.2 Group B: Divergent and Individual Resources-Oriented Process |
364 |
|
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17.5 Discussion |
367 |
|
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17.5.1 Level of Deliberateness |
368 |
|
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17.5.2 Information Overload Experienced in Group Behavior |
369 |
|
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17.5.3 Intra-Group Conflicts |
369 |
|
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17.6 Conclusion |
370 |
|
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References |
372 |
|
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Part IV: Future Directions |
376 |
|
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18: The Past, Present and Futures of Behavioral Operational Research |
377 |
|
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18.1 Introduction |
377 |
|
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18.1.1 An Alarming Tale |
378 |
|
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18.2 Behavioral OR in the Past |
381 |
|
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18.2.1 The Early Years |
381 |
|
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18.2.2 The Post-war Period |
382 |
|
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18.2.3 Heading for the Turn of the Century |
383 |
|
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18.2.4 Two Areas of Behavioral Strength: Decision Analysis and System Dynamics |
385 |
|
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18.3 Behavioral OR Today |
387 |
|
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18.3.1 Developments in “Real World” Economics and Psychology |
388 |
|
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18.3.2 Emerging Insights about Complexity and Increasing Ability to Model It |
390 |
|
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18.3.3 Developments in Communicating with Clients |
391 |
|
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18.4 Possible Futures for Behavioral OR |
391 |
|
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18.4.1 Where Now for Behavioral OR? |
391 |
|
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18.4.2 The Johari Window of OR |
393 |
|
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18.4.3 A Few Last Words |
395 |
|
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References |
396 |
|
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Index |
400 |
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