This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases. It also discusses the underlying methodologies and related security concerns.
Handbook of Disruptive Technologies: Operations, Business, Management, and Healthcare provides updated and timely insights, unique approaches or frameworks, practical applications, and case studies. It provides in-depth knowledge of disruptive technologies and applies data analytics to different areas to solve complex situations. The handbook uses data analytics in decision-making and policy framing and identifies practices and applications of disruptive technologies that can assist organizations in gaining a competitive advantage. Valuable insights, innovative approaches, practical applications, and case studies can be found in this handbook as it effectively consolidates and synthesizes information to provide a comprehensive understanding of the subject matter.
This book is tailored for researchers, academics, and professionals seeking to deepen their knowledge in the field.
Dr. Chand P. Saini is an Associate Professor in Marketing, Retail Management, and Consumer Behavior. He has more than 13 years of experience in teaching, research, and academia and holds a doctorate degree in the field of Management on the topic “issues and challenges involved in E-tailing and its influence on Consumer Behavior." He has a master’s degree in the field of management as well as commerce and has qualified UGC NET in both disciplines along with the award of a Junior Research Fellowship in Management. Dr. Saini has authored and co-authored more than 30 research papers and has presented his research at more than 30 conferences of national and international repute including IITs and IIMs. He has five cases published at Case Center UK and has attended and conducted various seminars, workshops, and development programs in his field. Dr. Saini has chaired sessions in his domain as a reviewer of journals, has chaired technical sessions at international conferences, and has given expert lectures in his areas of expertise.
Dr. Neha Gupta is working as an Assistant Professor at Amity School of Business, Amity University Uttar Pradesh, Noida. She obtained her Ph.D. from the Department of Statistics & Operations Research, Aligarh Muslim University, Aligarh, and is a Gold Medalist in M.Sc. (Operations Research). Her broad research interests include Optimization Modelling and Decision Sciences. Dr. Gupta is a lifetime member of the Operational Research Society of India and has more than 35 publications to her credit. She has recently authored two books and edited two books.
Dr. Ajay Kumar is currently serving as an Associate Professor in the Mechanical Engineering Department, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after his B.Tech. (Hons.) in mechanical engineering and M. Tech. (Distinction) in manufacturing and automation. His areas of research include Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Additive Manufacturing, Smart Manufacturing, Industry 4.0, Waste Management, and Optimization Techniques. He has over 60 publications in international journals of repute and has co-authored and co-edited many books, proceedings, and book series. Dr. Saurav Dixit is working as a Postdoc fellow at “Peter the Great St. Petersburg Polytechnic University”, St. Petersburg, Russia. He also holds the position of Associate professor at Moscow State University of Civil Engineering, and State University of Aerospace, Saint Petersburg, Russia. He is an Adjunct Professor at Uttranchal University Dehradoon and K. R. Mangalam University Gurgaon. His area of research is synthesis/development, construction productivity, self-healing concrete, chemical and physical properties of fly ash, advanced concrete production, additive manufacturing, and surface modification.
