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E-Book

E-Book, Englisch, 190 Seiten, WEB PDF

Reihe: Self-Learning Management Series

Koscinski Decision Making Essentials You Always Wanted To Know

A Practical Guide to Heuristics, Probability, Game Theory, Scenario Planning, & Effective Decision Making
1. Auflage 2024
ISBN: 978-1-63651-003-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 6 - ePub Watermark

A Practical Guide to Heuristics, Probability, Game Theory, Scenario Planning, & Effective Decision Making

E-Book, Englisch, 190 Seiten, WEB PDF

Reihe: Self-Learning Management Series

ISBN: 978-1-63651-003-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 6 - ePub Watermark



• Introduction to Decision Making

• Scenario Planning and Prediction Markets

• Group Mechanics
• Heuisticsr and Programmed Decisions

• Probability and Base Rate Neglect

Decision Making Essentials You Always Wanted to Know prepares new managers and leaders to make those tough decisions they face 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 Theory

• Heuristics

• Probability and Expected Value

• Bayes Theorem

• Multi-attribute decision making, including the SMART, Elimination by Aspects, and Even Swaps methods

• Game Theory
• Prediction Markets
• Brainstorming and Groupthink
• Black 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 is designed to address every aspect of business from HR to Finance to Marketing to Operations, be it any industry. 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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