- Professor and Chair
- Paul H. Chook Department of Information Systems and Statistics
- (646) 312-3403
Nanda Kumar, PhD, is a Professor of Information Systems and Chair of the Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business. He is also the academic director of the Master of Science program in Business Analytics.
His current research interests include information visualization, business analytics, healthcare information systems, human-computer interaction, workflow standardization, and technology policy, including privacy issues and net neutrality.
Dr. Kumar’s work has been published in both academic and practitioner journals, including Information Systems Research, MIS Quarterly, Journal of the Association for Information Systems, Communications of the ACM, IEEE Computer, and IEEE IT Professional. His article on social recommender systems garnered the JAIS Paper of the Year award in the information systems field in 2010.
Winner of a Teaching Excellence Award at Baruch College in 2009, Kumar has taught PhD-level courses on information systems and organizations as well as leading an information systems research seminar. He is also involved in developing the business analytics curriculum for the Zicklin School’s Paul H. Chook Department of Information Systems and Statistics.
Dr. Kumar received his PhD in Management Information Systems from the University of British Columbia.
Arazy, O., Ben-Asuli, O., Kumar, N., & Shabtai, I. (2023). Too Much Information? The Use of Extraneous Information to Support Decision Making in Emergency Settings. Decision Sciences.
A Zorina, F Bélanger, N Kumar, and S Clegg, (2021). Watchers, Watched, and Watching in the Digital Age: Reconceptualization of IT Monitoring as Complex Action Nets, Organization Science 32 (6), pp 1571-1596. [Winner of AIS Network College (AISWN) Best Paper Award]
O Ben-Assuli, N Kumar, O Arazy, I Shabtai, (2020). The use of analytic hierarchy process for measuring the complexity of medical diagnosis, Health Informatics Journal 26 (1), 218-232.
Arazy, O., Nov, O., & Kumar, N. (2015). Personalityzation: UI Personalization, Theoretical Grounding in HCI and Design Research. AIS Transactions on Human-Computer Interaction, 7(2), 43-69.
Stern, T., & Kumar, N. (2014). Improving Privacy Settings Control in Online Social Networks with a Wheel Interface. Journal of the Association for Information Science and Technology, 65(3), 524–538.
Ofer Arazy, Nanda Kumar and Bracha Shapira, (2010). “A Theory-Driven Design Framework for Social Recommender Systems”, Journal of the AIS, Vol. 11, Issue 9, pp. 455-490. [Top IS Publications of the Year; JAIS Best Paper of the Year Award]
Ofer Arazy, Nanda Kumar and Bracha Shapira, (2009). “Improving Social Recommender Systems”, IEEE IT Professional, Vol. 11, Issue 4, pp 31-37.
Abbe Mowshowitz and Nanda Kumar, (2007). “Net Neutrality: Private vs. Public Interest on the Internet”, Communications of the ACM, 50(7), pp. 23 – 25.
Nanda Kumar and Izak Benbasat, (2006). “The Influence of Recommendations and Consumer Reviews on Evaluations of Websites”, Information Systems Research, 17(4), pp. 425 – 439.
Nanda Kumar and Izak Benbasat, (2004). “The Effect of Relationship Encoding, Task Type and Complexity on Information Representation: An Empirical Investigation of 2D and 3D Graphs”, MIS Quarterly, 28(2), pp. 255 – 281.
AIS Network College (AISWN) Best Paper Award, Organization Science, 2021
Top IS Publications of the Year (Paper on Social Recommender Systems), Association for Information Systems, 2010
JAIS Paper of the Year (Paper on Social Recommender Systems), Journal of the AIS, 2010
Teaching Excellence Award, Zicklin School of Business, Baruch College, 2009
Faculty Scholarship and Creative Achievement Award, Baruch College, 2004, 2006, 2008
Eugene Lang Fellowship, 2006
ICIS Doctoral Consortium Scholar, 2001
Dean Earle MacPhee Fellowship, University of British Columbia, 1997-2000