Evolving Careers in Management

Author(s): Prof. Srikanta Patnaik

  • Language:
  • English
  • Genre(s):
  • Business & Management
  • ISBN13:
  • 9789355744340
  • ISBN10:
  • 935574434X
  • Format:
  • Paperback
  • Trim:
  • 6x9
  • Pages:
  • 305
  • Publication date:
  • 16-Feb-2023

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The book “Evolving Careers in Management” is an ideal read for aspiring managers and students of management institutes. It provides an in-depth look into the ever-changing world of management. The book includes 15 chapters, out of which 13 are from the professors of leading management institutes. Each chapter provides an insightful overview of the current trends related to career evolution in management and how to best capitalize on them. Additionally, this book features chapters contributed by industry experts who have extensive knowledge about the various aspects of successful career planning, as well as chapters developed by the faculty of IIMT taking into account student feedback from their career planning sessions. Each chapter provides invaluable insights into the strategies, tools and techniques needed to succeed in today’s highly competitive and ever-changing job market. With this book, readers can gain valuable insights that will help them make informed decisions about their career trajectory. The book covers career opportunities in the following areas:

  1. Strategy & Entrepreneurs
  2. Business Communication
  3. Human Resource Management
  4. Healthcare Management
  5. Business Analytics and Data Science
  6. Information System Management
  7. Fin-Influence
  8. Forensic Accounting
  9. Intellectual Property Management
  10. Legal & Compliance Management

Prof. Srikanta Patnaik

Prof. Srikanta Patnaik

Prof. Srikanta Patnaik is Director of I.I.M.T., Bhubaneswar, India. He has received his B.E. from University College of Engineering, Burla (presently VSSUT, Burla) in 1989, MBA from Sambalpur University in 1991 and Ph. D. (Engineering) from Jadavpur University, India in 1999. He has supervised more than 30 Ph.D. theses and 100 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering.

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