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Paperback Decision Making Essentials You Always Wanted to Know: A Practical Guide to Heuristics, Probability, Game Theory, Scenario Planning, & Effective Decisi Book

ISBN: 1636510027

ISBN13: 9781636510026

Decision Making Essentials You Always Wanted to Know: A Practical Guide to Heuristics, Probability, Game Theory, Scenario Planning, & Effective Decisi

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Book Overview

A Practical Guide to Heuristics, Probability, Game Theory, Scenario Planning, & Effective Decision Making. Make tough decisions with this dynamic toolbox of decision analysis techniques to transform the business Introduction to Decision MakingScenario Planning and Prediction MarketsGroup MechanicsHeuristics and Programmed DecisionsProbability and Base Rate Neglect

Decision Making Essentials You Always Wanted to Know prepares new managers and leaders to assess tough decisions they face- and eventually make the right choice- by providing them with a tool box of decision analysis techniques to help them understand and analyze the decisions they make.

The chapters describe key techniques of decision analysis, including:

Cognitive biases and Prospect TheoryHeuristicsProbability and Expected ValueBayes TheoremMulti-attribute decision making, including the SMART, Elimination by Aspects, and Even Swaps methodsGame TheoryPrediction MarketsBrainstorming and GroupthinkBlack Swan Events

Each chapter provides clear examples of the decision making tools and includes practice examples to help train the reader in using these critical tools.

About the Series

The Self-Learning Management series is designed to help students, new managers, career switchers and entrepreneurs learn essential management lessons. This series has management books, finance and accounting books, and strategy and marketing books designed to address every aspect of business from HR to Finance to Marketing to Operations. Each book includes basic fundamentals, important concepts, standard and well-known principles as well as practical ways of application of the subject matter. The distinctiveness of the series lies in that all the relevant information is bundled in a compact form that is very easy to interpret

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