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Digital Transformation and Human Potential in the AI Era

Krastev Viliyan Krastev Chandni Rani Olga Ergunova Pooja Kansra

$417.95   $334.56

Paperback

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English
Business Science Reference
16 December 2025
Digital and intelligent technologies redefine how individuals and organizations learn, work, and create value. As AI automates routine tasks and improves human capabilities, it opens new paths for innovation, collaboration, and personal growth. This shift challenges traditional roles and skillsets, pushing people to adapt, reskill, and embrace continuous learning. It also highlights the importance of human creativity, empathy, and critical thinking. Together, these aspects emphasize the evolving relationship between digital transformation and human potential. Digital Transformation and Human Potential in the AI Era explores how digital transformation powered by AI reshapes human capabilities, work dynamics, and opportunities for personal and professional growth. It examines the skills, mindsets, and organizational strategies needed to ensure people thrive alongside intelligent technologies. This book covers topics such as ethics and law, digital technology, and social networks, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.
Edited by:   , , , ,
Imprint:   Business Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337386133
Pages:   430
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Dr. Viliyan Krastev , Doctor of Social Sciences (DSc), Candidate of Geographical Sciences (PhD), Associate Professor of the Department of Economy and Tourism Organization at the University of Economics in Varna, Bulgaria. He is a specialist in political geography, geopolitics and geography of tourism. He has 16 years of teaching experience. He is the author of more than 75 publications, including those indexed in WoS and Scopus platforms. He has lectured at many foreign universities, including La Sapienza (Rome, Italy), BSU (Minsk, Belarus), L.N. Gumilyov Eurasian University. Gumilyov (Astana, Kazakhstan), the University of Latvia (Riga, Latvia), the University of Urbino “Carlo Bo” (Urbino, Italy), etc. Member of the editorial boards of a number of scientific journals: “Geography and Tourism” (Kyiv, Ukraine), “Russian Regions: A Look into the Future” (Moscow, Russia), “Scientific Review” (Saransk, Russia), “Pskov Regional Studies Journal” (Pskov, Russia), “Geotema” (Rome, Italy). Dr. Chandni Rani is currently an Assistant Professor at the University School of Business, Chandigarh University, Mohali, (Punjab) India. With over three years of teaching experience, her research interests span Human Resources, HR analytics, Organizational behavior, green HRM, and the application of artificial intelligence and virtual reality in HR and, the healthcare sector. She is a lifetime member of the International Teachers Association. She is an avid researcher and presented papers at various national and international conferences. Dr. Rani has also played a pivotal role in curriculum development and pedagogy design, enhancing the learning experience at Chandigarh University. Dr. Olga Ergunova is currently an Associate Professor at the Higher School of Production Management at Peter the Great St. Petersburg Polytechnic University. With over 22 years of professional experience in management and marketing, including 14 years in academia, her expertise spans strategic management, project management, urban studies, tourism, sustainable development, and digital transformation. She has held various leadership roles, including President of the Ural Union of the Tourism Industry, and serves as an Expert at the Russian Academy of Sciences. Dr. Ergunova is a prolific researcher with 167 publications, including in the RSCI database, as well as indexed articles in Web of Science and Scopus. Her research interests focus on sustainable urban development, tourism, creative industries, and regional branding. She has received numerous awards, including recognitions for best practices in national relations and sustainable tourism. Additionally, she has led international and regional projects, including initiatives within the framework of the “SMART CITY 2030” program. Dr. Ergunova actively contributes to the development of academic and professional programs, organizing forums, master classes, and scientific-practical events to foster innovation and collaboration in the BRICS countries. Pooja Kansra is Head of the Department at Mittal School of Business, Lovely Professional University, Punjab, India. Her areas of interest include econometric methods, microeconomics, macroeconomics, managerial economics, quantitative techniques, and the economics of health and education. She holds a Master’s in Economics from Guru Nanak Dev University, Amritsar, and a Doctorate degree from Punjab Technical University, Jalandhar. She is a member of the Indian Economic Association. Her research interests include health economics, insurance, and service operation management. She is an avid researcher and has presented papers at various national and international conferences. She has numerous research papers published in refereed national and international journals of repute. Dr. Tanveer Kajla is an engineering graduate with doctorate in Tourism Analytics, presently working in NALSAR University of Law, Hyderabad, India. He worked as Assistant Professor with Lovely Professional university. Prior to that he also worked as Research Associate under the ICSSR-IMPRESS Major Project at Punjabi University, Patiala (IN). He has published and presented papers in globally acclaimed conferences and Journals. He has been instrumental delivering expert talks on subjects like Business Analytics, Big Data Analytics, Microsoft Excel, R and Hadoop in academic institutions. His area of research includes Social Network Analysis, Sentiment Analysis, Twitter and Facebook analysis, Text Classification.

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