Generative AI for Transformational Management

Generative AI for Transformational Management

Projected Release Date: September, 2024|Copyright: © 2025 |Pages: 320
DOI: 10.4018/979-8-3693-5578-7
ISBN13: 9798369355787|ISBN13 Softcover: 9798369355794|EISBN13: 9798369355800
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Description & Coverage
Description:

The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential.

Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.

This book goes beyond theoretical exploration to be a practical guide that empowers leaders to harness AI's full potential in driving transformative outcomes. By providing a comprehensive understanding of generative AI and its impact on management, Generative AI for Transformational Management equips readers with the knowledge and tools they need to thrive in today's dynamic business environment.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • AI in Decision-Making
  • Ethical Considerations in AI
  • Future Trends in AI and Management
  • Generative AI and Business Strategy
  • Generative AI and Cybersecurity
  • Generative AI and Human Collaboration
  • Generative AI in Fintech
  • Generative AI in Human Resource Management
  • Generative AI in Logistics
  • Generative AI in Marketing
  • Generative AI in Research
  • Generative AI in Robotics
  • Generative AI in SCM
  • Generative AI in Tourism
  • Generative AI Tools and Frameworks
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Editor/Author Biographies
Dr. Jeganathan Gomathi Sankar, a distinguished educator specializing in marketing, currently serves as a faculty member at the BSSS Institute of Advanced Studies. With an illustrious academic background, he earned his Ph.D. from Pondicherry University, where his research focused on information diffusion, ICT, marketing technology, AI, and Data Science. His impactful research contributions have been published in reputable journals indexed in Scopus and ABDC. Formerly associated with the Saveetha School of Management, Dr. Sankar played a significant role in advancing marketing education. Dr. Sankar's teaching philosophy revolves around integrating theoretical insights with practical applications, providing students with a comprehensive understanding of contemporary marketing trends. Beyond the classroom, he possesses proficiency in analytical tools such as SPSS, AMOS, STATA, PowerBI, and Python, elevating the sophistication of his research endeavors. With a commitment to academic excellence, Dr. Sankar fosters an environment that encourages critical thinking among students. Known for his engaging teaching style, he continues to shape future marketing professionals at the BSSS Institute of Advanced Studies. His dedication to advancing knowledge in marketing and technology is exemplified by his completed Ph.D. from Pondicherry Central University and a robust track record of research and teaching achievements.
Arokiaraj David serves as an Associate Professor of Al Tareeqah Management Studies in UAE. He has successfully cleared the UGC-National Eligibility Test for Lectureship (NET) and has been honored with the Junior and Senior Research Fellow (JRF and SRF) titles. With over a decade of teaching and research experience, his areas of expertise include Green Marketing, Consumer Behavior, Product & Brand Management, Global Marketing, Retail Management, Strategic Management, Data Analytics, Sustainable Practices, Resources Management, Product Development, Environmental Responsibility, and General Management. Dr. David has authored more than 60 research articles, including 18 published in Scopus, 8 in ABDC, and 5 in Web of Science. He has also contributed to 11 book chapters, published 4 books, registered 7 patents, and received 1 copyright and 1 consultant project. He is proficient in various research tools and techniques, such as SPSS, AMOS, E-Views, STATA, and PLS-SEM and has hands-on experience in both primary and secondary data analysis. Recently, Dr. David has been recognized with the Best Research Award, Young Academician Award, and Young Scientist Award.
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