Decision Making Essentials You Always Wanted to Know

<h4><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>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!</strong></h4><ul><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Introduction to Decision Making</strong></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Scenario Planning and Prediction Markets</strong></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Group Mechanics</strong></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Heuristics and Programmed Decisions</strong></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Probability and Base Rate Neglect</strong></li></ul><p></p><p><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Decision Making Essentials You Always Wanted to Know </strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>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.</span></p><p></p><p><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>The chapters describe key techniques of decision analysis including:</strong></p><ul><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Cognitive biases and Prospect Theory</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Heuristics</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Probability and Expected Value</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Bayes Theorem</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Multi-attribute decision making including the SMART Elimination by Aspects and Even Swaps methods</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Game Theory</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Prediction Markets</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Brainstorming and Groupthink</span></li><li><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Black Swan Events</span></li></ul><p></p><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Each chapter provides clear examples of the decision making tools and includes practice examples to help train the reader in using these critical tools.</span></p><p></p><p><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>About the Series</strong></p><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>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</span></p>