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Beschreibung
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 Making
Scenario Planning and Prediction Markets
Group Mechanics
Heuristics and Programmed Decisions
Probability 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 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 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
Scenario Planning and Prediction Markets
Group Mechanics
Heuristics and Programmed Decisions
Probability 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 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 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
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 Making
Scenario Planning and Prediction Markets
Group Mechanics
Heuristics and Programmed Decisions
Probability 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 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 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
Scenario Planning and Prediction Markets
Group Mechanics
Heuristics and Programmed Decisions
Probability 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 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 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
Über den Autor
Mark Koscinski is an assistant professor of accounting practice at Moravian College in Bethlehem, PA, where he teaches a graduate level Decision Analysis class and several advanced accounting classes. He is a certified public accountant, and holds a BA with high honors and MBA from Rutgers University and a doctorate from Drew University. Prior to joining the faculty at Moravian College, Mark was a chief financial officer of various public and private organizations in the defense contracting, toy, investment banking, and banking industries. He has over forty years of experience in the business world, and has supervised every operation of an organization including sales and marketing. Mark is passionate about sharing his knowledge with his students. His background and experience gives him a unique position to write on management topics that are easy to understand for non-MBA graduates.
Details
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781636510026 |
| ISBN-10: | 1636510027 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Koscinski, Mark
Publishers, Vibrant |
| Hersteller: | Vibrant Publishers |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 216 x 140 x 11 mm |
| Von/Mit: | Mark Koscinski (u. a.) |
| Erscheinungsdatum: | 03.12.2020 |
| Gewicht: | 0,249 kg |