Listings
Educational Background
- Ph.D., Finance, University of Utah, 2009
- M.S., Information Systems, University of Iowa, 2003
- B.E., Electrical Engineering, University of Mumbai at Veermata Jijabai Technological Institute, 1999
Positions Held
- Teaching Associate Professor, Business Administration, University of Illinois at Urbana-Champaign, 2022 to present
- Associate Professor of Instruction, University of Iowa, 2021-2022
- Assistant Professor in Finance, University of Iowa, 2011-2021
- Assistant Professor in Finance, Texas A&M University, 2009-2011
Recent Publications
- Yoon, J., Pant, G., & Pant, S. (2024). Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation Journal of Management Information Systems, 41 (1), 39-72.
Other Publications
Articles
- Pant, G., & Pant, S. (2018). Visibility of Corporate Web Sites: The Role of Information Prosociality Decision Support Systems.
- Kalcheva, I., McLemore, P., & Pant, S. (2018). Innovation: The interplay between demand-side shock and supply-side environment. Research Policy.
- Kalay, A., Karakas, O., & Pant, S. (2014). The Market Value of Corporate Votes: Theory and Evidence from Option Prices. Journal of Finance.
Presentations
- Yoon, J., Pant, G., & Pant, S. (2022). Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation. INFORMS Workshop on Data Science.
- Yoon, J., Pant, G., & Pant, S. (2021). Predicting Innovation Through Topical Structure Discovery. Workshop on Information Technology and Systems 2021.
- Liu, Y., Pant, G., & Pant, S. (2021). Digital Prophylaxis for Firm Resilience: A Study On COVID-19 Disruption. Conference on Information Systems and Technology.
- Ramaraju, N., Pant, G., & Pant, S. (2020). What's Good for the Goose is Good for the Gander: Gender Diversity of Inventors and Firm Innovation. Workshop on Information Systems and Economics (WISE.
- Pant, S., & Wang, J. (2020). Does the Stock Market Fully Value Employee Diversity? Gender and Ethnic Diversity among Inventors and Stock Returns. Financial Management Association Meetings 2020.
Current Courses
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Business Analytics I (BADM 210) An introduction to basic knowledge of statistics, distributions, and linear regressions in a business setting Students will be able to perform and understand the use of basic statistical methods in generating inferences and modeling including hypothesis testing and multivariate regression. The course will introduce the concepts of a data life cycle, data visualization, and data summarization. Students will learn how to identify, describe and frame business opportunities through evidence-based storytelling and hands-on learning using spreadsheets and data visualization tools.