91ÊÓƵ

Biography

Dr. Saikat Das is an Assistant Professor in Information Systems and Analytics at Jindal 91ÊÓƵ Business School, 91ÊÓƵ. His research examines the intersection of digital technologies, social networks and data-driven decision-making. His research interests span computational social science, network science, digital innovation and the societal and organisational implications of emerging technologies. He uses computational modelling, network-based methods and data analytics to investigate complex socio-technical phenomena and inform decision-making.

Dr. Das earned his Ph.D. in Management Information Systems from the Indian Institute of Management Calcutta in 2023. His doctoral thesis, “Intervening in a socially networked problem: A simulation-based approach”, examined simulation-based interventions in networked settings. He also holds an MBA in Systems (major) and Marketing (minor) from the Indian Institute of Social Welfare and Business Management, and a B.Tech. in Information Technology from Meghnad Saha Institute of Technology. Additionally, he holds a certification in Business Analytics from the Indian Institute of Technology Hyderabad. Before joining Jindal 91ÊÓƵ Business School, he served as an Assistant Professor at SPJIMR, Mumbai, and Calcutta Business School, Kolkata. Earlier, he spent five years at Tata Consultancy Services as a Business Analyst and Software Developer, gaining industry expertise in technology-driven solutions.

His research publications include the article “Predicting the Outbreak of Epidemics Using a Network-Based Approach,” published in the European Journal of Operational Research (EJOR), an A* journal. His other publications address digital technologies and business, fintech innovation ecosystems, and data-driven approaches to agricultural development. He has also contributed to case-based research through “Dvara Doordrishti - Revolutionizing Agricultural Insight with Digital Technology,” published in Emerald Emerging Markets Case Studies.

Building on his interests in computational methods, network science and digital technologies, Dr. Das’s current research spans three interconnected areas. The first focuses on computational social science and network-based analysis of complex systems. The second explores applying computational analysis to healthcare-related questions, with potential implications for public health decision-making. The third examines digital innovation and technology-enabled development, including applications in agriculture, and community-based enterprise. Across these areas, his work applies computational and analytical methods to questions involving complex systems, social behaviour, and the development and use of digital technologies.

Dr. Das teaches courses across data science and emerging technologies. His teaching experience includes Introduction to Business Analytics using R, Data Science using Python, Data Visualization using Tableau and PowerBI, Artificial Intelligence, Machine Learning, Emerging Technologies for Business, Digital Transformation of Business, and Quantitative Techniques. His teaching connects analytical concepts with practical tools and managerial applications, emphasising student-centred learning and activity-based pedagogy.

Dr. Das has served as a reviewer for the Journal of Advances in Management Research, Paradigm, Management Practice Insights, and Emerald Emerging Markets Case Studies. He has also delivered an invited guest talk on artificial intelligence and education at St. Xavier’s College, Mumbai.