Insights to valuable decision-making based on authority, business, culture, change, and diversity in an organization.

"Organizations provide mind boggling compensations to their Leaders as compared to their average employees. Is it because they work more? Just like saying "we are the decisions we make", the very existence of an organization depends on the decisions it's leaders make! Decision-making is an interplay of competitive strategies, processes, design, values and culture. Narrating the experiences of industry decision-maker, the book demonstrates that organizational decision-making is akin to navigating through a minefield of biases and execution issues. From analysing key decisions of the past to shaping new ones, this book will empower readers with effective strategies that will allow them to become an integral part of their organization's decision-making environment.Businesses are always on the lookout for effective decision-makers. Whether you are looking to move up the career ladder or do well in your personal life, with Leaders Decisions and Biases, you will be well on your way!

Why do smart and experienced leaders make flawed, even catastrophic, decisions? Why do people keep believing they have made the right choice, even with the disastrous result staring them in the face? And how can you be sure you're making the right decision--without the benefit of hindsight? Sydney Finkelstein, Jo Whitehead, and Andrew Campbell show how the usually beneficial processes of the human mind can become traps when we face big decisions. The authors show how the shortcuts our brains have learned to take over millennia of evolution can derail our decision making. Think Again offers a powerful model for making better decisions, describing the key red flags to watch for and detailing the decision-making safeguards we need. Using examples from business, politics, and history, Think Again deconstructs bad decisions, as they unfolded in real time, to show how you can avoid the same fate.

Discover nine common business decision-making traps -- and learn practical tools for avoiding them -- in this "masterful," research-based guide from a professor of strategic thinking. (Daniel Kahneman, author of Thinking, Fast and Slow) We all make decisions all the time. It's so natural that we hardly stop to think about it. Yet even the smartest and most experienced among us make frequent and predictable errors. So, what makes a good decision? Should we trust our intuitions, and if so, when? How can we avoid being tripped up by cognitive biases when we are not even aware of them? In You're About to Make a Terrible Mistake!, strategy professor and management consultant Olivier Sibony draws on dozens of fascinating and engaging case studies to show how cognitive biases routinely lead all of us -- including even the most renowned business titans -- into nine common decision-making traps. But instead of rehashing the same old "debiasing" techniques that fail managers time and again, Sibony explains that the best way to avoid the pitfalls of cognitive bias is to craft an effective decision-making architecture in your organization -- a system of techniques and processes that leverage collective intelligence to help leaders make the best decisions possible -- and provides 40 concrete methods for doing so. Distinctive in the clarity and practicality of its message, You're About to Make a Terrible Mistake! distills the latest developments in behavioral economics and cognitive psychology into actionable tools for making smart, effective decisions in business and beyond. "Succinct, accurate, and even-handed. I loved it!" (Angela Duckworth, bestselling author of Grit) "The best, funniest, most useful guide to cognitive bias in business. If you make decisions, you need to read this book." (Safi Bahcall, bestselling author of Loonshots)

Understanding how leaders make foreign policy and national security decisions is of paramount importance for the policy community and academia. This book explores how leaders such as Trump, Obama, Netanyahu and others make decisions using the Applied Decision Analysis (ADA) method.