Harnessing the Power of AI to Help Businesses Grow
About Ishita
Her research has been published in Journal of Marketing Research, Marketing Science, Journal of Marketing and Review of Marketing Research. Her doctoral dissertation papers have won/been finalists for prestigious American Marketing Association (AMA) awards like the Don Lehmann Award, AMA AI SIG Best AI paper award, John A. Howard /AMA Dissertation Award and Mary Kay/ Academy of Marketing Science (AMS) Dissertation Award.
Professor Chakraborty’s research interests are in Large Language Models, AI, online platforms and unstructured data. Her research aims at developing algorithmic market research tools to derive richer, accurate and real-time insights from unstructured data.
Professor Chakraborty earned her B.E. in Computer Engineering at the University of Mumbai, her MBA at the Indian Institute of Management, and her PhD in Marketing at the Yale School of Management. Before her PhD, she worked in sales, brand management and consulting with Deloitte, Accenture and Mondelez International.
Selected Published Journal Articles
Chakraborty, I. & Chiong, K. & Dover, H. & Sudhir, K. (2024). Can AI and AI-Hybrids Detect Persuasion Skills? Salesforce Hiring with Conversational Video Interviews Marketing Science
Chakraborty, I. & Kim, M. & Sudhir, K. (2022). Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes Journal of Marketing Research
Arora, N. & Chakraborty, I. & Nishimura, Y. AI-human hybrids for Marketing Research: Leveraging LLMs as Collaborator Journal of Marketing
Working Papers
Sikdar, S. & Chakraborty, I. & Doghonadze, N. (2024). Neither a Picasso Nor a Da Vinci: A Multi-modal Model for Pricing of Novice Artwork
Troncosco, I. & Kim, M. & Chakraborty, I. & Kim, S. (2023). The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks
Practitioner-Oriented Publications
Lee, P. & Chakraborty, I. & Banerjee, S. AI Applications to Customer Feedback Research: A Review Review of Marketing Research: Special Issue on AI in Marketing
WSB Stories
- Large Language Models Perform as Strong Collaborators, Insight Generators, in AI-Human Hybrid Marketing Research Study - September 11, 2024
- Shaping the Future of Business Through Academic Research - September 3, 2024
- Wisconsin School of Business Hosts AI in Marketing Symposium - May 22, 2024
- WSB Faculty Share Research on Generative AI - November 3, 2023
- New WSB Faculty Define What’s Next in Business - November 11, 2021
WSB Stories
Large Language Models Perform as Strong Collaborators, Insight Generators, in AI-Human Hybrid Marketing Research Study
Shaping the Future of Business Through Academic Research
Wisconsin School of Business Hosts AI in Marketing Symposium
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