Sound decision-making is essential for success in today’s complex organizational environments. Now in its sixth edition, Decision Analysis for Management Judgment provides students and professionals with the tools and insights needed to make informed, rational choices in the face of uncertainty.
Written for managers and students without advanced mathematical training, this leading textbook clearly explains a wide range of decision analysis techniques while addressing the psychological biases and pitfalls that often undermine judgment. Throughout the text, authors Paul Goodwin and George Wright combine behavioral insights with practical analytical tools, bridging the gap between foundational theory and real-world practice.
Presenting complex concepts in a clear, accessible style suitable for both students and professionals, Decision Analysis for Management Judgment is an invaluable resource for anyone tasked with evaluating alternatives, anticipating future scenarios, and balancing multiple objectives in professional contexts. It is ideal for upper-level undergraduate, MBA, and executive education courses in decision analysis, management judgment, strategic planning, and environmental planning.
頁數:496
版次:第6版
年份:2026年
規格:平裝/單色
ISBN:9781394362554
Chapter 1 Introduction
Chapter 2 How people make decisions involving multiple objectives
Chapter 3 Decisions involving multiple objectives: SMART
Chapter 4 Decisions involving multiple objectives: alternatives to SMART
Chapter 5 Introduction to probability
Chapter 6 Decision-making under risk
Chapter 7 Decision trees and influence diagrams
Chapter 8 Applying simulation to decision problems
Chapter 9 Revising judgments in light of new information
Chapter 10 Heuristics and biases in probability assessment
Chapter 11 Methods for eliciting probabilities
Chapter 12 Structured risk management
Chapter 13 Decisions involving groups of individuals
Chapter 14 Resource allocation and negotiation problems
Chapter 15 Decision framing and cognitive inertia
Chapter 16 Scenario planning: a way of dealing with uncertainty
Chapter 17 Combining scenario planning with decision analysis
Chapter 18 Alternative decision-support systems and the role of AI