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Decision Making Essentials You Always Wanted…
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Decision Making Essentials You Always Wanted to Know (Self-Learning Management Series) (edizione 2020)

di Vibrant Publishers (Autore), Mark Koscinski (Autore)

UtentiRecensioniPopolaritàMedia votiConversazioni
18101,193,750 (4.06)Nessuno
Includes - Introduction to Decision Making- Scenario Planning and Prediction Markets - Group Mechanics- Heuristics and Programmed Decisions - Probability and Base Rate NeglectDecision 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.… (altro)
Utente:adamps
Titolo:Decision Making Essentials You Always Wanted to Know (Self-Learning Management Series)
Autori:Vibrant Publishers (Autore)
Altri autori:Mark Koscinski (Autore)
Info:Vibrant Publishers (2020), 190 pages
Collezioni:La tua biblioteca
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Decision Making Essentials You Always Wanted to Know di Mark Koscinski

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Questa recensione è stata scritta per Recensori in anteprima di LibraryThing.
This review should have been a part of early reviewers. Unfortunately the publisher would not provide a copy of the book that was not web-based. This online-only and clunky pdf format made it difficult to access and disengaging as reader. There could be good stuff here, but too many barriers are in place to truly know.
  adamps | Nov 19, 2022 |
Questa recensione è stata scritta per Recensori in anteprima di LibraryThing.
In my business roles I am constantly weighing options for decision input and have read a lot on this subject. The author has written a concise but informative book on the various decision-making processes, techniques, and considerations for quantitative and qualitative decision situations. The questions following the chapters and the examples are helpful for reinforcing the material. The author also included essential material on biases and interpretive issues that can skew decision-making. Additionally, frank discussion of decision-making technique weaknesses and unsuitability for certain problems will be helpful for developing these skills. The author used a wide range of applications and illustrations and practical implementations such as negotiation strategies. I highly recommend the book for those who want one source to become familiar with a wide variety of decision-making techniques. ( )
  RhodesDavis | Aug 2, 2021 |
Questa recensione è stata scritta per Recensori in anteprima di LibraryThing.
I've read quite a bit about decision making frameworks. This book is a great introduction for people new to the subject.

I enjoyed the layout of this book. It begins by discussing the mental aspects of decision making, moves on to explore a few different frameworks and ends with how to sell your decision. The flow of the information is very logical.

This book, by virtue of being a textbook, is easy to navigate. All of the important terms are in bold, there are some great questions at the end of each chapter, and the index provides a quick and easy way to find specific subject matter within the book. These attributes make this a very good choice to be a reference text for people who need to refer back to it later.

While this book seems to be targeted to businesspeople, it's also general enough to be applicable in one's personal life. I recommend this book to everyone. ( )
  reenum | Jul 19, 2021 |
Questa recensione è stata scritta per Recensori in anteprima di LibraryThing.
The science approach in this book was very interesting and well thought out. Wonderful methods for decision making.
  jhass | Jul 15, 2021 |
Questa recensione è stata scritta per Recensori in anteprima di LibraryThing.
The Self-Learning Management Series aims to educate those new to the responsibilities of management, likely coming from other fields. This book does a yeoman’s job at providing exposure to foundational concepts about decision making in business. It’s like a textbook, except a bit briefer and a bit more accessible (in other words, less academic). Koscinski, a professor of business, summarizes current thought about decision-making.

Helpfully, Koscinski keeps current with the state of thought by mixing Nobel prizewinners with age-old ideas. This book enables those, like me, who did not receive a business education to quickly learn how to succeed at management. This brief summary covers many topics, like negotiation, risk, methods, and computations.

The biggest weakness of this work is that it is so, well, vanilla. It does not argue any new principle or theory, nor does it attempt to be more comprehensive than competing books. Instead, it sits, relatively undefined, in the middle. Also, many of the charts use abbreviations that are undefined; they would benefit from some elaboration and captions.

Overall, I am confident that this book, like many in this series, will serve its intended purpose of providing fundamental business education to those practicing management from another profession. However, for high-fliers and the curious, this book will just whet the tastebuds but leave deeper questions unanswered. ( )
  scottjpearson | Jul 13, 2021 |
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Includes - Introduction to Decision Making- Scenario Planning and Prediction Markets - Group Mechanics- Heuristics and Programmed Decisions - Probability and Base Rate NeglectDecision 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.

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