Inhaltsangabe
Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the latest innovative perspectives on the incorporation of analysis techniques to enhance business performance. Examining a wide range of relevant topics, such as alternative clustering, recommender systems, and social media tools, this book is ideally designed for researchers, academics, students, professionals, and practitioners seeking scholarly material on business improvement in the service industry.
Über die Autorinnen und Autoren
Rajendra Sahu is a Professor at the institute. Dr. Sahu has done his PhD from IIT, Kharagpur after completing his M.Sc (Engg.) and MIM. He has been associated with the teaching profession for the past 20 years, and has been closely involved with industrial consultancy projects, and as an external Consultant for IIT, Kharagpur. Management Consultancy has been his forte. He has been associated with prestigious projects in the past, and has also published about 90 papers in his areas of proficiency and interest. His primary areas of interest are Systems Approach to Management, Business Process Management, Business Analytics, e-Commerce, and IT enabled Services. He is currently the Secretary of Systems Dynamics Society of India.
Manoj Kumar Dash earned his M.A. with specialization in Econometrics, M.Phil. with specialization in Econometrics, Ph.D. in Economics on topic ‘Econometrics of Complete Demand System’ and M.B.A. in Marketing from Berhampur University, Berhampur (Orissa). He had published more than 63 research paper in various journals of International and National repute. He is the author of three books titled ‘Managerial Economics’, ‘Applied Demand Analysis’ and “Think New-Think Better: A case study of Entrepreneurship” and edited five books till date. He received several prizes in the Research Paper presentation competitions in both National and International Seminar/Conferences. He was involved as Chair Member in International Conference of Arts and Science held at Harvard University, Boston (USA), Member of Steering Committee in International Conference on ESTD 2014 held at ABV- Indian Institute of Information Technology and Management Gwalior. He had conducted 22 Faculty Development Pogramme sponsored by AICTE, MHRD and IIITM on Multivariate Analysis, Econometrics, Research Methodology, Mulch-Criteria Optimization, Multivariate analysis in Marketing, SPSS software etc.. He introduced many course in Marketing such as Digital Marketing, New Product and Service Development, Multivariate Analysis in Marketing, Established Behavioural Economics and Experimental Laboratory at ABV- IIITM Gwalior. He visited two countries USA and Cyprus for presenting paper in international conferences. His area of interest are Multi-criteria Optimization, Behavioural Economics, Decision Making Modelling, Econometrics Modelling, and Marketing Research.
Anil Kumar is a faculty of Operations Management and Quantitative Techniques in the School of Management at BML Munjal University. He has completed his Ph.D in Management Science from Indian Institute of Information Technology and Management, Gwalior (M.P)-India He has published in reputed national and international journals and presented in national/international conferences. He has more than 27 research papers/book chapters and 4 books to his credit. He is a member of many scientific societies like International Society on Multiple Criteria Decision Making (ISMCDM), Marketing Science Institute (MSI), American Marketing Association (AMA), and Society of Information Sciences (SIS) etc. His research interest includes Marketing Analytics, Multi-Criteria Decision Making, Fuzzy Multi-Criteria Decision Making, Fuzzy Optimization through Type-2 fuzzy, Generalizability of fuzzy set, Application of Soft-Computing and Econometrics Modeling in Marketing, Multi-Criteria Decision Making and Fuzzy applications in E-Commerce and M-Commerce, Multi-Criteria Decision Making and Fuzzy applications in Decision Making.
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