000			04031nam a22002297a 4500
005			20250109165323.0
008			250109b |||||||| |||| 00| 0 eng d
020			_a9783031444234
082			_a658.403 _bFED
245			_aBehavioral decision analysis
260			_bSpringer _aCham _c2024
300			_axiv, 291 p.
365			_aEUR _b149.99
490			_aInternational Series in Operations Research & Management Science Vol. 350
500			_aTable 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]
520			_aThis 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)
650			_aDecision making
700			_aFederspiel, Florian M [Editor] _920306
700			_aMontibeller, Gilberto [Editor] _920307
700			_aSeifert, Matthias [Editor] _920308
942			_cBK _2ddc
999			_c8397 _d8397