Computational Leadership: Connecting Behavioral Science and Technology to Optimize Decision-making and Increase Profits - Rilegato

Spisak, Brian R.

Rilegato

ISBN 10: 1119984041 ISBN 13: 9781119984047

Casa editrice: John Wiley & Sons Inc, 2023

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

While much ink has been spilled about leadership generally, much of the received wisdom on the topic is based on little more than anecdote and minimal evidence-based research. It often reflects only the personal opinion of the author and is rarely interested in building on a robust foundation of qualitative and quantitative data. This book changes all that.

In Computational Leadership, distinguished Harvard University leadership researcher, Dr. Brian R. Spisak delivers a paradigm shift in the study of leadership by employing simulations, network analysis, artificial intelligence (AI), and other computational approaches to fundamentally improve all aspects of the discipline. The book is positioned at the intersection of cutting-edge science and technology, leadership and business research, the author’s own first-person knowledge of leadership best practices, and interviews with senior leaders from IBM, JPMorgan Chase, Microsoft, and more.

Computational Leadership offers a holistic and practical framework for utilizing advancements in leadership technology. It provides concrete strategies for improving interpersonal relationships and morale in remote working arrangements, as well as data-driven techniques for increasing diversity, equity, and inclusion during the hiring and promotion of personnel. This book also demonstrates ways to mitigate the fragility of “just-in-time” supply chains by employing nascent process mining and digital twin technologies.

A must-read guide for managers, executives, directors, entrepreneurs, founders, human resource professionals, and other business leaders looking for an alternative to leadership strategies based largely on intuition and personal anecdote, Computational Leadership is the perfect resource for anyone ready to finally apply modern technologies to the ancient art and science of leading people.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1119984041
• ISBN 13: 9781119984047
• Rilegatura: Copertina rigida
• Numero di pagine: 224
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile