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Behavioral decision analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Behavioral decision analysis/ edited by Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert ; foreword by Don N. Kleinmuntz.
other author:	Federspiel, Florian M.
Published:	Cham :Springer International Publishing : : 2024.,
Description:	xiv, 291 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Behavioral Decision Analysis - Past, Present and Future -- Behavioral Decision Research: Descriptive and Prescriptive Perspectives -- Behavioral Biases in the Uncertainty Quantification Process -- Analyzing Decisions Under Uncertainty: Simple Tools Of the Heathens -- Should an Analyst Share Calibration Information with Experts? -- The Role of Environmental Instability in Detecting and Responding to Signals of Impending Regime Shifts -- The Social Psychology of the Wisdom of Crowds -- Predicting Behavior in Games: Loss Aversion vs. Rank Dependent Utility vs. Range Utility Theory -- Consequences of Missing Objectives in Applications of Multiattribute Utility Analysis -- "When Are We Willing to Wait? Prescriptive Challenges in Evaluating Intertemporal Outcomes" -- The near-miss bias -- Behavioral challenges in practice when dealing with public environmental decision problems -- Team decision making.
Contained By:	Springer Nature eBook
Subject:	Decision making. -
Online resource:	https://doi.org/10.1007/978-3-031-44424-1
ISBN:	9783031444241

Behavioral decision analysis
Behavioral decision analysis[electronic resource] /edited by Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert ; foreword by Don N. Kleinmuntz. - Cham :Springer International Publishing :2024. - xiv, 291 p. :ill. (some col.), digital ;24 cm. - International series in operations research & management science,v. 3502214-7934 ;. - International series in operations research & management science ;v. 350..

Behavioral Decision Analysis - Past, Present and Future -- Behavioral Decision Research: Descriptive and Prescriptive Perspectives -- Behavioral Biases in the Uncertainty Quantification Process -- Analyzing Decisions Under Uncertainty: Simple Tools Of the Heathens -- Should an Analyst Share Calibration Information with Experts? -- The Role of Environmental Instability in Detecting and Responding to Signals of Impending Regime Shifts -- The Social Psychology of the Wisdom of Crowds -- Predicting Behavior in Games: Loss Aversion vs. Rank Dependent Utility vs. Range Utility Theory -- Consequences of Missing Objectives in Applications of Multiattribute Utility Analysis -- "When Are We Willing to Wait? Prescriptive Challenges in Evaluating Intertemporal Outcomes" -- The near-miss bias -- Behavioral challenges in practice when dealing with public environmental decision problems -- Team decision making.

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.

ISBN: 9783031444241

Standard No.: 10.1007/978-3-031-44424-1doiSubjects--Topical Terms:

517204
Decision making.

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

Behavioral decision analysis
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245 0 0 $a Behavioral decision analysis $h [electronic resource] / $c edited by Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert ; foreword by Don N. Kleinmuntz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xiv, 291 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 2214-7934 ; $v v. 350
505 0 $a Behavioral Decision Analysis - Past, Present and Future -- Behavioral Decision Research: Descriptive and Prescriptive Perspectives -- Behavioral Biases in the Uncertainty Quantification Process -- Analyzing Decisions Under Uncertainty: Simple Tools Of the Heathens -- Should an Analyst Share Calibration Information with Experts? -- The Role of Environmental Instability in Detecting and Responding to Signals of Impending Regime Shifts -- The Social Psychology of the Wisdom of Crowds -- Predicting Behavior in Games: Loss Aversion vs. Rank Dependent Utility vs. Range Utility Theory -- Consequences of Missing Objectives in Applications of Multiattribute Utility Analysis -- "When Are We Willing to Wait? Prescriptive Challenges in Evaluating Intertemporal Outcomes" -- The near-miss bias -- Behavioral challenges in practice when dealing with public environmental decision problems -- Team decision making.
520 $a 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.
650 0 $a Decision making. $3 517204
650 1 4 $a Operations Research and Decision Theory. $3 3591727
650 2 4 $a Operations Management. $2 swd $3 1283589
700 1 $a Federspiel, Florian M. $3 3716993
700 1 $a Montibeller, Gilberto. $3 3601434
700 1 $a Seifert, Matthias. $3 3633416
700 1 $a Kleinmuntz, Don N. $3 3716994
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a International series in operations research & management science ; $v v. 350. $3 3716995
856 4 0 $u https://doi.org/10.1007/978-3-031-44424-1
950 $a Business and Management (SpringerNature-41169)