The Handbook of Behavioral Operations.
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Newark : John Wiley & Sons, Incorporated, 2018.
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eBook
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9781119138310
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1 online resource (691 pages)
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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APA Citation, 7th Edition (style guide)

Katok, E., Leider, S., & Donohue, K. (2018). The Handbook of Behavioral Operations . John Wiley & Sons, Incorporated.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Katok, Elena, Stephen. Leider and Karen. Donohue. 2018. The Handbook of Behavioral Operations. Newark: John Wiley & Sons, Incorporated.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Katok, Elena, Stephen. Leider and Karen. Donohue. The Handbook of Behavioral Operations Newark: John Wiley & Sons, Incorporated, 2018.

Harvard Citation (style guide)

Katok, E., Leider, S. and Donohue, K. (2018). The handbook of behavioral operations. Newark: John Wiley & Sons, Incorporated.

MLA Citation, 9th Edition (style guide)

Katok, Elena., Stephen Leider, and Karen Donohue. The Handbook of Behavioral Operations John Wiley & Sons, Incorporated, 2018.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDa86c1421-8db0-8569-ee26-60f61a7acb99-eng
Full titlehandbook of behavioral operations
Authorkatok elena
Grouping Categorybook
Last Update2023-03-28 17:59:37PM
Last Indexed2025-04-30 02:04:45AM

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4901 |a Wiley Series in Operations Research and Management Science Series
5050 |a Intro -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Part I Methodology -- Chapter 1 Designing and Conducting Laboratory Experiments -- 1.1 Why Use Laboratory Experiments? -- 1.2 Categories of Experiments -- 1.3 Some Prototypical Games -- 1.3.1 Individual Decisions -- 1.3.2 Simple Strategic Games -- 1.3.3 Games Involving Competition: Markets and Auctions -- 1.4 Established Good Practices for Conducting BOM Laboratory -- 1.4.1 Effective Experimental Design -- 1.4.2 Context -- 1.4.3 Subject Pool -- 1.5 Incentives -- 1.6 Deception -- 1.7 Collecting Additional Information -- 1.8 Infrastructure and Logistics -- References -- Chapter 2 Econometrics for Experiments -- 2.1 Introduction -- 2.2 The Interaction Between Experimental Design and Econometrics -- 2.2.1 The Average Treatment Effect -- 2.2.2 How to Achieve Randomization -- 2.2.3 Power Analysis -- 2.3 Testing Theory and Other Hypotheses: Classical Hypothesis Testing -- 2.3.1 Tests on Continuous Response Data -- 2.3.1.1 Parametric Tests -- 2.3.1.2 Nonparametric Tests -- 2.3.1.3 Testing for Trends -- 2.3.1.4 Bootstrap and Permutation Tests -- 2.3.1.5 An Illustration from Davis et al. (2011) -- 2.3.1.6 When to Use Nonparametric Tests -- 2.3.2 Tests on Discrete Response Data -- 2.4 Testing Theory and Other Hypotheses: Regression Analysis -- 2.4.1 Ordinary Least Squares: An Example from Davis et al. (2011) -- 2.4.2 Panel Data Methods -- 2.4.2.1 Dynamic Panel Data Models: The Example of Demand Chasing -- 2.4.3 Limited Dependent Variable Models -- 2.4.3.1 Binary Response Data -- 2.4.3.2 Censored Data -- 2.4.3.3 Other Data -- 2.5 Dependence of Observations -- 2.5.1 A "Conservative" Approach -- 2.5.2 Using Regressions to Address Dependence -- 2.5.2.1 Higher Level Clustering -- 2.5.2.2 How Many Clusters -- 2.6 Subject Heterogeneity.
5058 |a 2.6.1 Multilevel Analysis: Example Implementation -- 2.7 Structural Estimation -- 2.7.1 Model Selection -- 2.7.2 An Illustration -- 2.7.3 A Word on Standard Errors -- 2.7.4 Subject Heterogeneity: Finite Mixture Models -- 2.8 Concluding Remarks -- Acknowledgments -- References -- Chapter 3 Incorporating Behavioral Factors into Operations Theory -- 3.1 Types of Behavioral Models -- 3.1.1 Nonstandard Preferences -- 3.1.2 Nonstandard Decision‐making -- 3.1.3 Nonstandard Beliefs -- 3.2 Identifying Which Behavioral Factors to Include -- 3.2.1 Robustly Observed -- 3.2.2 One/A Few Factors Explain Many Phenomena -- 3.2.3 Boundaries and Observed Behavioral Factors -- 3.3 Nesting the Standard Model -- 3.3.1 Reference Dependence -- 3.3.2 Social Preferences and Comparison -- 3.3.3 Quantal Response Equilibrium -- 3.3.4 Cognitive Hierarchy in Games -- 3.3.5 Learning -- 3.3.6 Overconfidence -- 3.4 Developing Behavioral Operations Model -- 3.4.1 Parsimony Is Still Important -- 3.4.2 Adding One Versus Many Behavioral Factors -- 3.5 Modeling for Testable Predictions -- References -- Chapter 4 Behavioral Empirics and Field Experiments -- 4.1 Going to the Field to Study Behavioral Operations -- 4.1.1 External Validity and Identification of Effect Size -- 4.1.2 Overcome Observer Bias -- 4.1.3 Context -- 4.1.4 Time‐based Effects -- 4.1.5 Beyond Individual Decision‐making -- 4.2 Analyzing the Data: Common Empirical Methods -- 4.2.1 Reduced Form Analysis of Panel Data -- 4.2.2 Difference in Differences -- 4.2.3 Program or Policy Evaluations -- 4.2.4 Regression Discontinuity -- 4.2.5 Structural Estimation -- 4.3 Field Experiments (Creating the Data) -- 4.3.1 Experimental Design -- 4.3.2 Field Sites and Organizational Partners -- 4.3.3 Ethics and Human Subject Protocol -- 4.4 Conclusion: The Way Forward -- References -- Part II Classical Approaches to Analyzing Behavior.
5058 |a Chapter 5 Biases in Individual Decision‐Making -- 5.1 Introduction -- 5.2 Judgments Regarding Risk -- 5.2.1 The Hot‐Hand and Gambler's Fallacies -- 5.2.2 The Conjunction Fallacy and Representativeness -- 5.2.3 The Availability Heuristic -- 5.2.4 Base Rate Neglect and Bayesian Updating -- 5.2.5 Probability Weighting -- 5.2.6 Overconfidence -- 5.2.7 Ambiguity Aversion -- 5.3 Evaluations of Outcomes -- 5.3.1 Risk Aversion and Scaling -- 5.3.2 Prospect Theory -- 5.3.2.1 Framing -- 5.3.3 Anticipated Regret -- 5.3.3.1 Reference Dependence -- 5.3.4 Mental Accounting -- 5.3.5 Intertemporal Choice -- 5.3.6 The Endowment Effect -- 5.3.7 The Sunk Cost Fallacy -- 5.4 Bounded Rationality -- 5.4.1 Satisficing -- 5.4.2 Decision Errors -- 5.4.3 System 1 and System 2 Decisions -- 5.4.4 Counterpoint on Heuristics and Biases -- 5.5 Final Comments and Future Directions -- Acknowledgments -- References -- Chapter 6 Other‐regarding Behavior: Fairness, Reciprocity, and Trust -- 6.1 Introduction -- 6.1.1 What Is Other‐regarding Behavior? -- 6.1.2 Why Other‐regarding Behavior Is Important? -- 6.1.3 Two Types of Triggers -- 6.2 The Nature of Social Preferences -- 6.2.1 The Central Role of Fairness and the Approach to Studying It in Behavioral Economics -- 6.2.2 Fairness in the Ultimatum and Dictator Games -- 6.2.3 Reciprocity in the Gift Exchange Game -- 6.2.4 The Trust Game -- 6.2.5 The Role of Institutions in Other‐regarding Behavior -- 6.3 Models of Social Preferences -- 6.3.1 What Can These Models Explain: Dictator and Ultimatum Games -- 6.3.2 What Can These Models Explain: Gift Exchange and Trust Games -- 6.3.3 What Can These Models Explain: The Market Game -- 6.3.4 An Intention‐based Reciprocity Model -- 6.4 Fair Choice: Stability and Factors That Influence It -- 6.4.1 Example: Quantitative Estimates of Social Preferences -- 6.4.2 Factors That Influence Fair Choice.
5058 |a 6.4.2.1 Stake Size -- 6.4.2.2 Incomplete Information About Pie Size -- 6.4.2.3 Entitlements -- 6.4.2.4 Social Distance and Physiological Features -- 6.4.2.5 Procedural Fairness -- 6.5 Reciprocal Choice -- 6.5.1 Economic Incentives May Harm the Intrinsic Reciprocity -- 6.5.2 Wage Levels and Firm Profits Affect the Reciprocity -- 6.5.3 Worker's Population Affect the Degree of Reciprocity -- 6.5.4 Do the Experimental Results with Imitated Effort Hold When the Effort Is Real? -- 6.5.5 Maintaining Reputation Is One Motive to Trigger and Sustain Reciprocity -- 6.5.6 Institutional Tit for Tat -- 6.6 Trust and Trustworthiness -- 6.6.1 Building Blocks of Trust and Trustworthiness -- 6.6.2 Innate Triggers for Trust and Trustworthiness: Other‐regarding Preferences -- 6.7 Summary: The Empirical Nature of Fair Choice -- References -- Chapter 7 Behavioral Analysis of Strategic Interactions: Game Theory, Bargaining, and Agency -- 7.1 Behavioral Game Theory -- 7.1.1 Accurate Beliefs -- 7.1.2 Best Responses -- 7.1.3 Strategic Sophistication -- 7.1.4 Coordination Games and Equilibrium Selection -- 7.1.5 Repeated Games -- 7.1.6 Applications in Operations Management -- 7.2 Behavioral Analysis of Principal-Agent Problems -- 7.2.1 Response to Financial Incentives -- 7.2.2 Financial Incentives in Other Settings: Monitoring, Tournaments, and Teams -- 7.2.3 Reciprocity and Gift Exchange -- 7.2.4 Nonmonetary Incentives -- 7.2.5 Applications in Operations Management -- 7.3 Bargaining -- 7.3.1 Theoretical Approaches -- 7.3.2 Economics Experiments: Free‐form Bargaining -- 7.3.3 Economics Experiments: Structured Bargaining -- 7.3.4 Economics Experiments: Multiparty Negotiations -- 7.3.5 Psychology Experiments: Biases in Negotiations -- 7.3.6 Applications in Operations Management -- References -- Chapter 8 Integration of Behavioral and Operational Elements Through System Dynamics.
5058 |a 8.1 Introduction -- 8.2 Decision‐making in a Dynamic Environment -- 8.3 Principles (Guidelines) for Modeling Decision‐making -- 8.3.1 Principle of Knowability -- 8.3.2 Principle of Correspondence -- 8.3.3 Principle of Requisite Action -- 8.3.4 Principle of Robustness -- 8.3.5 Principle of Transience -- 8.4 Grounded Development of Decision‐making Processes -- 8.4.1 Archival Cases -- 8.4.2 Ethnography -- 8.4.3 Field Studies -- 8.4.4 Interviews -- 8.4.5 Time Series and Econometric Methods -- 8.4.6 Experimental Results and Decision‐making Theory -- 8.5 Formulation Development and Calibration Example -- 8.5.1 Erosion of Service Quality -- 8.5.1.1 Employees' Effort Allocation -- 8.5.1.2 Decision Rule in Context -- 8.5.2 Dynamic Problem Solving -- 8.5.2.1 Clinicians' Cue Interpretation -- 8.5.2.2 Decision Rule in Context -- 8.6 Conclusion -- References -- Part III Applications within Operations Management -- Chapter 9 Behavioral Foundations of Queueing Systems -- 9.1 Introduction and Framework -- 9.2 The Customer -- 9.2.1 Disutility of Waiting (cT) -- 9.2.1.1 Waiting Cost (cw, cs) -- 9.2.1.2 Waiting Time (Tw, Ts) -- 9.2.2 Quality (v) -- 9.2.3 Abandonments (ℙ(v ≥ θi)) -- 9.2.4 Arrivals (λ) -- 9.2.5 Queue Discipline (λτ̔̈2009;→ w) -- 9.2.6 Service Speed (μ) -- 9.3 The Server -- 9.3.1 Work Speed (μ) -- 9.3.2 Work Content (w) -- 9.3.3 Work Sequence (λτ̔̈2009;→ w) -- 9.3.4 Quality (v) -- 9.4 The Manager -- 9.4.1 Ambience -- 9.4.2 Capacity -- 9.4.3 Discipline -- 9.4.4 Incentives -- 9.4.5 Information -- 9.4.6 Layout -- 9.4.7 Task -- 9.5 Testing Queueing Theory in the Laboratory -- 9.6 Conclusions and Future Research Opportunities -- References -- Chapter 10 New Product Development and Project Management Decisions -- 10.1 Exploration: The Creative Process -- 10.1.1 Brainstorming -- 10.1.2 Innovation Contests -- 10.1.3 Open Innovation -- 10.2 Plan: From Creative to Reality.
5058 |a 10.2.1 Cognitive Process.
588 |a Description based on publisher supplied metadata and other sources.
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 0|a Production management.
650 0|a Management science-Psychological aspects.
650 0|a Organizational behavior.
655 4|a Electronic books.
7001 |a Leider, Stephen.
7001 |a Donohue, Karen.
77608|i Print version:|a Katok, Elena|t The Handbook of Behavioral Operations|d Newark : John Wiley & Sons, Incorporated,c2018|z 9781119138303
7972 |a ProQuest (Firm)
830 0|a Wiley Series in Operations Research and Management Science Series
85640|u https://ebookcentral.proquest.com/lib/pit/detail.action?docID=5568248|z Click to View