Research Interests
- Digital Economics: Exploring digitization, digital inequality, and the economic implications of digital technologies.
- Artificial Intelligence: Studying generative AI applications in software engineering, e-commerce, and decision-making.
Methodologies
- Econometrics, natural and field experiments
- Artificial Intelligence and Machine/Deep Learning
Refereed Journal Publications
- Karthik Babu Nattamai Kannan, Eric Overby, and Sri Narasimhan, “Can Improvements to Mobile Internet Service Help Reduce Digital Inequality? An Empirical Analysis of Education and Overall Data Consumption.” Management Science, Forthcoming.
Refereed Conference Proceedings
- Karthik Babu Nattamai Kannan and Wayne Taylor. “The Impact of Online Learning on Digital and Non-Digital Supplemental Learning Products: A Comparative Empirical Analysis.” Proceedings of 2024 AMA Marketing and Public Policy Conference.
- Karthik Babu Nattamai Kannan and Wayne Taylor. “The Impact of Online Learning on Digital and Non-Digital Supplemental Learning Products: A Comparative Empirical Analysis.” Proceedings of 2024 Americas Conference on Information Systems.
Working Papers
- Limits to the Adoption of Technology-Mediated Learning: A Comparative Empirical Analysis of Digital and Non-Digital Supplemental Learning Products with Wayne Taylor SSRN link
- Under review at Information Systems Research
- Presentations: AMCIS 2024, 2024 AMA Marketing and Public Policy Conference; 2023 Conference on Artificial Intelligence, Machine Learning, and Business Analytics, 2023 MISQ Author Development Workshop, 2022 Marketing Science Annual Conference.
- Quantifying the Impact of GitHub Copilot Usage on Pull-Request Latency in Open-Source Projects with Narayan Ramasubbu
- Manuscript preparation in progress.
- Presentations: 2024 INFORMS Annual Meeting (scheduled), Artificial Intelligence Cluster.
- The Impact of Work from Home on Consumer Purchase Behavior: An Empirical Analysis of the Performing Arts Industry (Solo authored) SSRN link
- Under revision, with planned submission to Journal of Marketing
- Grants: Received a grant of $5,000 from the Marketing Science Institute (MSI) in December 2021. Data collection is supported by a special grant from the National Endowment for the Arts (NEA) to help performing arts organizations recover after the COVID-19 crisis.
- Presentations: 2023 POMS Annual Conference; 2022 Research Computing Day at SMU, SMU Data Science Institute, Auburn University.
- Media coverage: Webinar addressed to ~200 practitioners from arts organizations in the US (Feb 2022). SMU DataArts covered this in a series of blogs (~2500 page views as of Dec 2023):
- Leveraging Public Facilities to Improve Access to Performing Arts Facilities: An Empirical Analysis with Young Woong Park and Sridhar Narasimhan SSRN link
- Under revision, with planned submission to Journal of Marketing
- Presentations: COX ITOM Brown Bag Seminar in May 2023, Marketing Science DSI Conference @ SMU (March 2023), 2022 INFORMS Annual Conference, 2023 POMS Annual Conference.
- Data-Driven Decision Making in US Non-Profit Sector: A Quasi-Experimental Analysis
- In this study, I assess the impact of the Bloomberg Philanthropies Arts Innovation and Management (AIM) program launched in 2011 as part of the American Cities Initiative. This AIM program has provided $119 million to build the capacity of small and mid-sized nonprofit arts and cultural organizations. It was piloted with organizations in New York City from 2011-2013, and 13 more cities joined in 2018.
- Preparing to submit to Information Systems Research.
- Presentations: Bloomberg Foundation (2023), POMS 2022.
Work In Progress
- How did Gen AI impact code design and quality? An empirical analysis with Narayan Ramasubbu
- LLM for Non-Verbal Communication: Design of GenAI Based Augmentative and Alternative Communication (AAC) Application
- How does Gen AI Impact Product Search in e-Commerce? An empirical analysis
- Super Why: An Empirical Analysis of Digital and Non-Digital Literacy
