Behavioral decision analysis
Behavioral decision analysis
- Cham Springer 2024
- xiv, 291 p.
- International Series in Operations Research & Management Science Vol. 350 .
Table of content:
Behavioral Decision Analysis: Past, Present and Future
Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert
Pages 1-14
Behavioral Decision Research: Descriptive and Prescriptive Perspectives
Gilberto Montibeller, Detlof von Winterfeldt
Pages 15-40
Behavioral Biases in the Uncertainty Quantification Process
Victor Richmond R. Jose
Pages 41-63
Analyzing Decisions Under Uncertainty: Simple Tools of the Heathens
Konstantinos V. Katsikopoulos
Pages 65-79
Should an Analyst Share Calibration Information with Experts?
Saurabh Bansal, Mostafa Sabbaghi, Rashmi Sharma
Pages 81-103
The Role of Environmental Instability in Detecting and Responding to Signals of Impending Regime Shifts
Sreyaa Guha, Matthias Seifert, Canan Ulu
Pages 105-120
The Social Psychology of the Wisdom of Crowds (with a New Section on Recent Advances)
Richard P. Larrick, Albert E. Mannes, Jack B. Soll
Pages 121-143
Predicting Behavior in Games: Loss Aversion vs. Rank Dependent Utility vs. Range Utility Theory
Manel Baucells, Philip Leclerc, Michał Lewandowski, Jason Merrick
Pages 145-164
Consequences of Missing Objectives in Applications of Multiattribute Utility Analysis
Sarah A. Kusumastuti, Richard S. John
Pages 165-185
When Are We Willing to Wait? Prescriptive Challenges in Evaluating Intertemporal Outcomes
Jeffery L. Guyse, Candice H. Huynh, L. Robin Keller, Jay Simon
Pages 187-211
The Near-Miss Bias
Florian M. Federspiel, Robin Dillon-Merrill, Matthias Seifert, Sofía Rodriguez
Pages 213-229
Behavioral Challenges in Practice When Dealing with Public Environmental Decision Problems
Judit Lienert
Pages 231-265
Team Decision Making
Martin G. Kocher, Matthias Praxmarer, Matthias Sutter
Pages 267-291
[https://link.springer.com/book/10.1007/978-3-031-44424-1]
This book lays out a foundation and taxonomy for Behavioral Decision Analysis, featuring representative work across various domains. Traditional research in the domain of Decision Analysis has focused on the design and application of logically consistent tools to support decision makers during the process of structuring problem complexity, modeling uncertainty, generating predictions, eliciting preferences, and, ultimately, making better decisions. Two commonly held assumptions are that the decision maker’s cognitive belief system is fully accessible and that this system can be understood and formalized by trained analysts. However, in past years, an active line of research has emerged studying instances in which such assumptions may not hold. This book unites this community under the common theme of Behavioral Decision Analysis. The taxonomy used in this book categorizes research based on task focus (prediction or decision) and behavioral level (individual or group). Two theoretical lenses that lie at the interface between (1) normative and descriptive research, and (2) normative and prescriptive research are introduced. The book then proceeds to highlight representative works across the two lenses focused on individual and group-level decision making. Featuring various methodologies and applications, the book serves as a reference for researchers, students, and professionals across different disciplines with a common interest in Behavioral Decision Analysis.
(https://link.springer.com/book/10.1007/978-3-031-44424-1)
9783031444234
Decision making
658.403 / FED
Table of content:
Behavioral Decision Analysis: Past, Present and Future
Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert
Pages 1-14
Behavioral Decision Research: Descriptive and Prescriptive Perspectives
Gilberto Montibeller, Detlof von Winterfeldt
Pages 15-40
Behavioral Biases in the Uncertainty Quantification Process
Victor Richmond R. Jose
Pages 41-63
Analyzing Decisions Under Uncertainty: Simple Tools of the Heathens
Konstantinos V. Katsikopoulos
Pages 65-79
Should an Analyst Share Calibration Information with Experts?
Saurabh Bansal, Mostafa Sabbaghi, Rashmi Sharma
Pages 81-103
The Role of Environmental Instability in Detecting and Responding to Signals of Impending Regime Shifts
Sreyaa Guha, Matthias Seifert, Canan Ulu
Pages 105-120
The Social Psychology of the Wisdom of Crowds (with a New Section on Recent Advances)
Richard P. Larrick, Albert E. Mannes, Jack B. Soll
Pages 121-143
Predicting Behavior in Games: Loss Aversion vs. Rank Dependent Utility vs. Range Utility Theory
Manel Baucells, Philip Leclerc, Michał Lewandowski, Jason Merrick
Pages 145-164
Consequences of Missing Objectives in Applications of Multiattribute Utility Analysis
Sarah A. Kusumastuti, Richard S. John
Pages 165-185
When Are We Willing to Wait? Prescriptive Challenges in Evaluating Intertemporal Outcomes
Jeffery L. Guyse, Candice H. Huynh, L. Robin Keller, Jay Simon
Pages 187-211
The Near-Miss Bias
Florian M. Federspiel, Robin Dillon-Merrill, Matthias Seifert, Sofía Rodriguez
Pages 213-229
Behavioral Challenges in Practice When Dealing with Public Environmental Decision Problems
Judit Lienert
Pages 231-265
Team Decision Making
Martin G. Kocher, Matthias Praxmarer, Matthias Sutter
Pages 267-291
[https://link.springer.com/book/10.1007/978-3-031-44424-1]
This book lays out a foundation and taxonomy for Behavioral Decision Analysis, featuring representative work across various domains. Traditional research in the domain of Decision Analysis has focused on the design and application of logically consistent tools to support decision makers during the process of structuring problem complexity, modeling uncertainty, generating predictions, eliciting preferences, and, ultimately, making better decisions. Two commonly held assumptions are that the decision maker’s cognitive belief system is fully accessible and that this system can be understood and formalized by trained analysts. However, in past years, an active line of research has emerged studying instances in which such assumptions may not hold. This book unites this community under the common theme of Behavioral Decision Analysis. The taxonomy used in this book categorizes research based on task focus (prediction or decision) and behavioral level (individual or group). Two theoretical lenses that lie at the interface between (1) normative and descriptive research, and (2) normative and prescriptive research are introduced. The book then proceeds to highlight representative works across the two lenses focused on individual and group-level decision making. Featuring various methodologies and applications, the book serves as a reference for researchers, students, and professionals across different disciplines with a common interest in Behavioral Decision Analysis.
(https://link.springer.com/book/10.1007/978-3-031-44424-1)
9783031444234
Decision making
658.403 / FED