Dr. Chand Prakash Saini

Professor and Associate Dean

Dr. Chand Prakash Saini
Qualification Ph.D., MBA
Total Years of Work Experience 15 Years
No of Recent Publications 30+
No of Conferences, Seminars & Workshops 50+
Awards (International/National) -

Prof. Dr. Chand Prakash Saini is a distinguished academician with over 15 years of extensive experience in Industry, Academics, Research, training and Consultancy. He earned his doctorate in Management, focusing on critical issues in E-tailing and its impact on consumer behaviour. His academic journey is marked by a Master’s degree in Management and Commerce, along with qualifying UGC NET in both disciplines and receiving a Junior Research Fellowship in Management. Dr. Saini has made significant research contributions, authoring and co-authoring over 30 research publications in prestigious journals published by Emerald, Sage, and Elsevierindexed in ABDC, UGC care, Scopus, and Web of Science. He has presented his findings at over 50 national and international conferences, including those at renowned institutions like IITs and IIMs, and has received multiple Best Research Paper Awards. Additionally, he has published five cases at Case Centre UK. In the realm of editorial and academic contributions, Dr. Saini has edited a book on Technology Disruption in healthcare, operations and Business Management published by CRC Press and a special issue on "Integration of Analytics, Optimization, and Marketing for the Growth of Businesses in Emerging Economies" for the Transnational Marketing Journal, indexed in Scopus. He has conducted numerous seminars, workshops, and development programs, chaired technical sessions at international conferences, and served as a reviewer for journals under Inderscience and IGI Global. He is frequently invited to deliver expert lectures at various institutions on his research and areas of expertise. Dr. Saini's research interests are deeply rooted in quantitative studies, particularly Structural Equation Modelling, and decision-making and data analysis using SPSS. His dedication to academia is further demonstrated by his successful mentorship of four doctoral research scholars, guiding them through their doctoral programs to successful completions.

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