Biography
Ishita Chakraborty joined the Wisconsin School of Business in July 2021 as an Assistant Professor in the Marketing Department.
Her research has been published in Journal of Marketing Research and Review of Marketing Research. Her dissertation has got an honorable mention at the John A. Howard /AMA Dissertation Award and has won the Mary Kay/ Academy of Marketing Science (AMS) Dissertation Award in 2022.
Professor Chakraborty’s research interests are in digital marketing, online platforms, text and video analytics and mobile apps. 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.
Research
Selected Published Journal Articles
Chakraborty, I. & Kim, M. & Sudhir, K. (2022). Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Attribute Self-Selection Journal of Marketing Research
Practitioner-Oriented Publications
Lee, P. & Chakraborty, I. & Banerjee, S. (2022). AI Applications to Customer Feedback Research: A Review Review of Marketing Research: Special Issue on AI in Marketing
Presentations
AI Speaker Series, Fox School of Business, Temple University (2023) AI and AI-Human Based Salesforce Hiring Using Interview Videos
Winter AMA (2023) AI and AI-Human Based Salesforce Hiring Using Interview Videos
Brij Disa Centre for Data Science and Artificial Intelligence, IIMA (2023) AI and AI-Human Based Salesforce Hiring Using Interview Videos
Marketing Seminar Series, Tuck School of Business, Dartmouth College (2022) AI and AI-Human Based Salesforce Hiring Using Interview Videos
Academy of Marketing Science Annual Meeting (2022) Attribute Sentiment Scoring for Online Textual Reviews: Accounting for Language Structure and Missing Attributes
EMAC-AIMARK DOCTORAL DISSERTATION AWARD 2022 (2022) Attribute Sentiment Scoring for Online Textual Reviews: Accounting for Language Structure and Missing Attributes
Marketing Science Conference 2022 – Special Session (2022) AI and AI-Human Based Salesforce Hiring Using Interview Videos
Marketing Seminar Series, University of Maryland (2022) Attribute Sentiment Scoring for Online Textual Reviews: Accounting for Language Structure and Missing Attributes
UTD Bass Forms Conference 2022 (2022) AI and AI-Human Based Salesforce Hiring Using Interview Videos
Association for Consumer Research (Special Session on Text Analytics), 2021 (2021) Attribute Sentiment Scoring for Online Textual Reviews: Accounting for Language Structure and Missing Attributes
Artificial Intelligence in Marketing Conference 2021 (2021) What makes sales pitches work?
Marketing Science 2021 (2021) What makes sales pitches work?