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Thinkers & Ideas
Inspiring and thought-provoking conversations with leading thinkers about influential ideas on business, technology, economics, and science. Hosted by Martin Reeves, Chairman of the BCG Henderson Institute, and Philipp Carlsson-Szlezak, Global Chief Economist of BCG. For more ideas and inspiration, sign up to receive BHI INSIGHTS, our monthly newsletter, and follow us on LinkedIn and Twitter.
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In The Corporation in the Twenty-First Century: Why (Almost) Everything We Are Told About Business Is Wrong, John Kay provides a novel perspective on the evolution of the contemporary corporation. One of the UK’s leading economists, Kay is a fellow of St John’s College, Oxford. He was the first dean of Oxford’s Saïd Bu
In Uncertainty and Enterprise: Venturing Beyond the Known, Amar Bhidé revisits and modernizes the concept of Knightian uncertainty. Introduced more than 100 years ago, the concept offers great potential for better understanding corporate decision-making. A renowned expert on innovation, entrepreneurship, and finance, B
In The M&A Failure Trap: Why Most Mergers and Acquisitions Fail and How the Few Succeed, Baruch Lev and Feng Gu provide a wealth of evidence on the success and failure factors of acquisitions. Lev, professor emeritus of Accounting and Finance at NYU’s Stern School of Business and Gu, professor of Accounting and Law at
In Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior, Sandra Matz explores what our digital footprints reveal about us and how these insights are used to influence our daily decisions. Matz is the David W. Zalaznick Associate Professor of Business at Columbia Business School, where she also
In The Unaccountability Machine: Why Big Systems Make Terrible Decisions and How the World Lost Its Mind, Dan Davies examines why companies and governments systematically generate outcomes that everyone involved claims they do not want. Davies is an economist, writer, and former investment banker known for his insightf
In AI Snake Oil: What AI Can Do, What It Can’t, and How to Tell the Difference, Sayash Kapoor and his co-author Arvind Narayanan provide an essential understanding of how AI works and why some applications remain fundamentally beyond its capabilities. Kapoor was included in TIME’s inaugural list of the 100 most influen