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Computational Leadership

Computational Leadership Connecting Behavioral Science and Technology to Optimize Decision-Making and Increase Profits

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Computational Leadership

Connecting Behavioral Science and Technology to Optimize Decision-Making and Increase Profits

Brian R. Spisak

Business & Economics / Management Science

Apply the latest computational technologies to your leadership practices

In Computational Leadership, renowned leadership researcher Dr. Brian R. Spisak delivers a paradigm-shifting exploration of the use of simulations, network analysis, AI, and other computational approaches to fundamentally improve all aspects of leadership. With interviews from leaders of IBM, JPMorgan Chase, and Microsoft, this book sits at the intersection of cutting-edge science and technology, leadership research, and decades of the author's own first-person knowledge of leadership best practices.

The author offers readers a holistic and practical framework for utilizing advancements in leadership technology. He also provides:

  • Concrete strategies for improving interpersonal relationships and morale in remote working arrangements
  • Evidence-based techniques for increasing diversity, equity, and inclusion in hiring and promotion
  • Ways to mitigate the fragility of "just-in-time" supply chains and harness the effectiveness of nascent blockchain and digital twin resources

An essential guide for managers, executives, board members, and other business leaders looking for an alternative to leadership strategies based largely on intuition and personal experience, Computational Leadership will earn a place in the libraries of anyone ready to apply modern technologies to the age-old art and science of leadership.

BRIAN R. SPISAK, PHD, is a Research Associate at Harvard’s National Preparedness Leadership Initiative. He focuses on what it takes to successfully lead transformation, as well as the emerging synthesis of artificial intelligence and leadership. He is also a trusted leadership advisor, consultant, and the co-founder of HSC Analytics.


Publication Date: 09 May 2023
Publisher: Wiley
Imprint: Wiley
ISBN-13: 9781119984047
Format: Hardback
Page Count: 224
Weight (oz): 14.4

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