book

The Handbook of Behavioral Operations

by Karen Donohue, Elena Katok, Stephen Leider

November 2018

Intermediate to advanced

688 pages

23h 27m

English

Wiley

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1.1 Why Use Laboratory Experiments?1.2 Categories of Experiments1.3 Some Prototypical Games1.4 Established Good Practices for Conducting BOM Laboratory1.5 Incentives1.6 Deception1.7 Collecting Additional Information1.8 Infrastructure and LogisticsReferences
2.1 Introduction2.2 The Interaction Between Experimental Design and Econometrics2.3 Testing Theory and Other Hypotheses: Classical Hypothesis Testing2.4 Testing Theory and Other Hypotheses: Regression Analysis2.5 Dependence of Observations2.6 Subject Heterogeneity2.7 Structural Estimation2.8 Concluding RemarksAcknowledgmentsReferences
3.1 Types of Behavioral Models3.2 Identifying Which Behavioral Factors to Include3.3 Nesting the Standard Model3.4 Developing Behavioral Operations Model3.5 Modeling for Testable PredictionsReferences
4.1 Going to the Field to Study Behavioral Operations4.2 Analyzing the Data: Common Empirical Methods4.3 Field Experiments (Creating the Data)4.4 Conclusion: The Way ForwardReferences
5.1 Introduction5.2 Judgments Regarding Risk5.3 Evaluations of Outcomes5.4 Bounded Rationality5.5 Final Comments and Future DirectionsAcknowledgmentsReferences
6.1 Introduction6.2 The Nature of Social Preferences6.3 Models of Social Preferences6.4 Fair Choice: Stability and Factors That Influence It6.5 Reciprocal Choice6.6 Trust and Trustworthiness6.7 Summary: The Empirical Nature of Fair ChoiceReferences

7.1 Behavioral Game Theory7.2 Behavioral Analysis of Principal–Agent Problems7.3 BargainingReferences
8.1 Introduction8.2 Decision‐making in a Dynamic Environment8.3 Principles (Guidelines) for Modeling Decision‐making8.4 Grounded Development of Decision‐making Processes8.5 Formulation Development and Calibration Example8.6 ConclusionReferences
9.1 Introduction and Framework9.2 The Customer9.3 The Server9.4 The Manager9.5 Testing Queueing Theory in the Laboratory9.6 Conclusions and Future Research OpportunitiesReferences
10.1 Exploration: The Creative Process10.2 Plan: From Creative to Reality10.3 Execute: From Planning to Execution10.4 ConclusionsReferences
11.1 Introduction11.2 Nominal and Actual Order Quantities11.3 Decision Biases11.4 Utility Functions11.5 Individual Heterogeneity11.6 Other Inventory Models11.7 Summary and OutlookAcknowledgmentsReferences
12.1 An Introduction to Forecasting Behavior12.2 Judgment Biases in Point Forecasting12.3 Judgment Biases in Forecasting Uncertainty12.4 Organizational Forecasting Processes12.5 Improving Judgmental Forecasting12.6 Conclusion and Future Research OpportunitiesReferences
13.1 Introduction13.2 Coordination with Imperfect Information: The Beer Distribution Game13.3 Relationships Under Incentive Conflicts: Contracting in Supply Chains13.4 Contracting and Mechanism Design13.5 Conclusion and Future PossibilitiesReferences
14.1 Are There Any Business Case Studies Where Trust and Trustworthiness Matter?14.2 What Is Trust?14.3 What Is Trustworthiness?14.4 How Can We Measure Trust and Trustworthiness?14.5 What Are the Building Blocks of Trust and Trustworthiness?14.6 Two Remarks on Research Methods (Optional)14.7 ConclusionAppendix 14.A A Selected Overview of Additional Decision Games for Studying TrustReferences
15.1 Overview of Behavioral Operations Research on Auctions15.2 What We Learned from Experimental Economics Literature on Forward Auctions15.3 Buyer‐determined Auctions15.4 Relationships and Moral Hazard in Auctions15.5 Empirical Findings on Bidder Behavior, Judgment, and Decision‐making Bias15.6 Supply Risk15.7 Elements of Auction Design15.8 Comparing and Combining Auctions with Negotiations15.9 Ongoing and Future DirectionsReferences
16.1 Introduction16.2 Experiments on Route Choice in Networks with Fixed Architecture16.3 Experiments on Traffic Paradoxes16.4 Experiments on the Pigou–Knight–Downs Paradox16.5 Experiments on the Downs–Thomson Paradox16.6 Experiments on the Braess Paradox16.7 Discussion and ConclusionsAcknowledgmentReferences
17.1 How to Think About “Behaviors” in Operational Settings: Customer Journey Maps17.2 The “Before” Behaviors17.3 The “During” Behaviors17.4 The “After” Behaviors17.5 Concluding RemarksAcknowledgmentsReferences
18.1 Introduction18.2 Current Research Trends18.3 Emerging Behavioral Operations Topics18.4 Final RemarksAcknowledgmentsReferences

Content preview from The Handbook of Behavioral Operations

Index

a
accurate beliefs 239–242
advance purchase discount (APD) contract 473
agile development 384
Akaike information criterion (AIC) 73
algorithm aversion 450, 452
algorithmic game theory 565
ambiguity aversion 167–169
analogy‐based expectations 242
analysis of variance (ANOVA) model 47–49
anchoring
- on mean demand 402–404
- and point forecasting 438–441
ANOVA model see analysis of variance (ANOVA) model
anticipated regret theory 175–176
APD contract see advance purchase discount (APD) contract
assortment management 596–597
asymmetric bidders 529–530
asymmetric information 475–477
ATE see average treatment effect (ATE)
auctions
- aggressive in sealed‐bid 528–529
- with asymmetric bidders 529–530
- basics 526–527
- bidder behavior and judgment
  - herding behavior 536–537
  - reference prices 537–541
  - starting prices 536–537
- buyer‐determined (BD) auctions
  - effect of nonprice attribute information 531–532
  - quality information settings 530
  - trust and trustworthiness in 534
- vs. combining auctions with negotiations
  - multiunit setting 550
  - post‐auction negotiation 548–549
  - sequential mechanism 547
- elements of auction design
  - bid increments 527, 545
  - ending rules 527, 544
  - jump bidding 545
  - multisourcing 546–547
  - rank‐based feedback 545–546
  - reserve prices 543–544
- proxy bidding 544
- relationships and moral hazard
  - reputation 532–534
  - trust and trustworthiness 534
- revenue equivalence tests
  - sealed‐bid first price vs. Dutch 527–528
  - sealed‐bid first price vs. English 528
- sealed‐bid (see sealed‐bid auctions)
- supply ...

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