Decision Making Essentials You Always Wanted to Know

<ol><li data-list=bullet><span class=ql-ui contenteditable=false></span><strong style=color: rgba(51 51 51 1)>Introduction to Decision Making </strong></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><strong style=color: rgba(51 51 51 1)>Scenario Planning and Prediction Markets</strong></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><strong style=color: rgba(51 51 51 1)>Group Mechanics</strong></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><strong style=color: rgba(51 51 51 1)>Heuristics and Programmed Decisions</strong></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><strong style=color: rgba(51 51 51 1)>Probability and Base Rate Neglect</strong></li></ol><p><strong style=color: rgba(51 51 51 1)> </strong></p><p><strong style=color: rgba(51 51 51 1)>Decision Making Essentials You Always Wanted to Know </strong><span style=color: rgba(51 51 51 1)>prepares new managers and leaders to assess </span>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</p><p>and analyze the decisions they make.</p><p><br></p><p><strong style=color: rgba(51 51 51 1)>The chapters describe key techniques of decision analysis including: </strong></p><ol><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Cognitive biases and Prospect Theory </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Heuristics </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Probability and Expected Value </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Bayes Theorem </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Multi-attribute decision making including the SMART Elimination by Aspects and Even Swaps methods </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Game Theory </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Prediction Markets</span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Brainstorming and Groupthink </span></li><li data-list=bullet><span class=ql-ui contenteditable=false></span><span style=color: rgba(51 51 51 1)>Black Swan Events</span></li></ol><p><span style=color: rgba(51 51 51 1)> </span></p><p><span style=color: rgba(51 51 51 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><br></p><p><strong style=color: rgba(51 51 51 1)>About the Series</strong></p><p><span style=color: rgba(51 51 51 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>