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El. knyga: Relativity in Business: How Physics Shapes Management Science

  • Formatas: 376 pages
  • Išleidimo metai: 04-Jul-2024
  • Leidėjas: Cambridge Scholars Publishing
  • ISBN-13: 9781036406677
Kitos knygos pagal šią temą:
Relativity in Business: How Physics Shapes Management ScienceDidesnis paveikslėlis
  • Formatas: 376 pages
  • Išleidimo metai: 04-Jul-2024
  • Leidėjas: Cambridge Scholars Publishing
  • ISBN-13: 9781036406677
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'Relativity in Business: How Physics Shapes Management Science' unveils the intriguing overlap between physics and management, providing a novel outlook on business strategy and organisational behaviour. It leverages concepts from motion, thermodynamics, quantum mechanics, and chaos theory, among others, to forge a groundbreaking framework for addressing business complexities. Aimed at managers, strategists, and academics, the book translates intricate physics into actionable insights for business challenges, such as optimising operations and leveraging chaos for organisational benefit. Through compelling case studies, it shows how applying physics principles can spur innovation and cultivate efficient, sustainable business practices. This text is a valuable tool for anyone interested in melding scientific principles with business strategy to enhance outcomes, making it a seminal read in the fusion of science and management.
Kushal Anjaria is an assistant professor in the IT and Systems area at the Institute of Rural Management, Anand (IRMA), India. He held a PhD in information systems and security from the Department of Computer Science and Engineering of the Defence Institute of Advanced Technology (DIAT-DRDO), India. He has around five years of academic experience and a year of industrial experience. He teaches subjects like Management Information Systems (MIS), Enterprise Resource Planning and Data Mining. He has authored over 25 research papers, published them in refereed journals and book chapters, and presented them at several conferences. The latest book Prof. Kushal co-authored is "Applications of Game Theory in Deep Learning." He has served as a consultant on several government and non-government projects. He has received grants for various research projects as well.
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