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245 1 0 _aBehavioral Decision Analysis
_h[electronic resource] /
_cedited by Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIV, 291 p. 37 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aInternational Series in Operations Research & Management Science,
_x2214-7934 ;
_v350
505 0 _aBehavioral 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 _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.
650 0 _aOperations research.
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650 0 _aProduction management.
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650 1 4 _aOperations Research and Decision Theory.
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650 2 4 _aOperations Management.
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700 1 _aFederspiel, Florian M.
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700 1 _aMontibeller, Gilberto.
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700 1 _aSeifert, Matthias.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aInternational Series in Operations Research & Management Science,
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_v350
_969480
856 4 0 _uhttps://doi.org/10.1007/978-3-031-44424-1
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