04673nam a22005655i 4500 978-3-031-44424-1 DE-He213 20251030112241.0 cr nn 008mamaa 240530s2024 sz | s |||| 0|eng d 9783031444241 978-3-031-44424-1 10.1007/978-3-031-44424-1 doi T57.6-.97 KJT bicssc KJMD bicssc BUS049000 bisacsh KJT thema KJMD thema Behavioral Decision Analysis [electronic resource] / edited by Florian M. Federspiel, Gilberto Montibeller, Matthias Seifert. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIV, 291 p. 37 illus., 11 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda International Series in Operations Research & Management Science, 2214-7934 ; 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. Operations research. 57943 Production management. 67141 Operations Research and Decision Theory. 67143 Operations Management. 67304 Federspiel, Florian M. editor. edt http://id.loc.gov/vocabulary/relators/edt 77778 Montibeller, Gilberto. editor. edt http://id.loc.gov/vocabulary/relators/edt 77779 Seifert, Matthias. editor. edt http://id.loc.gov/vocabulary/relators/edt 77780 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031444234 Printed edition: 9783031444258 Printed edition: 9783031444265 International Series in Operations Research & Management Science, 2214-7934 ; 350 69480 https://doi.org/10.1007/978-3-031-44424-1 ZDB-2-BUM ZDB-2-SXBM 60267 60267