1st Edition
Handbook of Disruptive Technologies Operations, Business, Management, and Healthcare
Section 1 Disruptive Technologies in Operations
Chapter 1 Embracing Disruption: Emerging Technologies Reshaping the Financial Services Sector
Renuka Sharma and Savita
Chapter 2 Disruptive Technologies for Energy Efficiency in Industries
Gaydaa AlZohbi
Chapter 3 Artificial Intelligence as Disruptive Technology in Human Resource Management
Gulab Kumar, Dipanker Sharma, and Bhawana Bhardwaj
Chapter 4 Data Quality Management Framework for Data Warehouse
Rakesh Kr. Arora, Manoj Kr. Gupta, and Suraj Pal Singh
Chapter 5 An Empirical Investigation of Educators’ Professional Expertise to Incorporate Artificial Intelligence (AI)‑ased Tools into the Classroom in a Responsible and Ethical Manner: Approach Toward Intelligent‑PACK
Preeti Chawla and Meenakshi Bisla
Chapter 6 Marketing Automation Development as a Process of Digital Ecosystem Advancement
Farshad Badie, Palanivel Rathinasabapathi Velmurugan, and Ajay Kumar
Chapter 7 Modeling of Invisible Cost Factors in Information Technology Offshore Outsourcing by ISM Approach
Prashant Chauhan, Nitin Kumar Chauhan, and Naveen J
Chapter 8 Analysis of Dynamics between Cryptocurrencies and Foreign Exchange Rates in Indian Scenario
Rohan Bhargava and Hem Shweta Rathore
Section 2 Disruptive Technologies in Business
Chapter 9 Intertwining between Digitalization and Triple Bottom Line Sustainability in the Banking Sector: Sustainable Banking Digital Ecosystem and Key Dimensions
Megha Garg and Parveen Kumar
Chapter 10 Navigating Soft Technology Disruption: Transforming Accounting Education for Industry 4.0 and 5.0 Era
Amardeep Singh, Amit Dangi, Chand Prakash, Neha Gupta, and K Tara Shankar
Chapter 11 The Trend and Type Analysis of Various Disruptive Technologies in Healthcare
Muddapu Raja, T. N. V. R. L. Swamy, and Chand Prakash
Chapter 12 Embracing Technological Advancements: The Transformation of Healthcare Services in the Digital Age
Kunal Rawal, Anushree Acharya, and Shweta Soni
Chapter 13 Unleashing the Potential of Machine Learning: Revolutionizing Loan Forecasting Using Logistic Regression
Pranshu Mishra, Nyasha Saurabh, Rishav Katoch, and Richa Sharma
Biography
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.
