VENKATARAGHAVAN KAssistant Professor of Information Technology
Chair of IT & Systems
Google Citation :https://scholar.google.co.in/citations?user=xPrOaQIAAAAJ
Phone: +91-7088270882 (Ext. 210)
Dr. Venkataraghavan holds a Ph.D. in Information Systems from the Indian Institute of Technology Madras. His research involves the incorporation of consumer behavioral aspects into the design of Information Systems, specifically Electronic Negotiation Systems and the adoption of Emerging Information Technologies. His work has been published in IT journals and conferences such as Group Decision and Negotiation, Information Systems Frontiers, Management Research Review, GDN Annual Meeting, Design Science Research in Information Systems, et cetera.
Dr. Venkataraghavan has an industry experience of eight years. Before joining academia, he worked as a principal data scientist at a telecom analytics start-up on Big Data Analytics. Earlier, he was an ERP package solution consultant at IBM and NTT India. As a data scientist, he had developed predictive models for customer segmentation and multi-brand loyalty. His current interests include the application of machine learning techniques to combine insights from Big Data and Market Research and the development of Big Data sampling strategies for Market Research.
He trains industry participants on the application of machine learning techiques using open-source software.
Krishnaswamy, V., Pahuja, A. & Sundarraj, R.P. (2016) Integrating Time-preferences into E-Negotiation Systems: A Model, Elicitation Approach and Experimental Implications. Group Decision and Negotiation. http://link.springer.com/article/10.1007/s10726-016-9476-8
Krishnaswamy, V., & Sundarraj, R.P. (2015) Organizational Implications of a Comprehensive Approach for Cloud-storage Sourcing. Information Systems Frontiers, http://dx.doi.org/10.1007/s10796-015-9588-8.
Karunakaran, S., Krishnaswamy, V. & Sundarraj, R.P. (2015) Business View of Cloud: Decisions, Models and Opportunities - A Classification and Review of Research. Management Research Review, 38(7).
Enterprise Resource Planning
Data Science and Business Analytics
Management Information Systems
Information Systems Management (research level)
Business Intelligence (research level)