Ishita Chakraborty

University of Wisconsin - Madison - Department of Marketing

Asst. Professor of Marketing

United States

http://https://sites.google.com/view/ishitachakraborty/

SCHOLARLY PAPERS

8

DOWNLOADS
Rank 44,204

SSRN RANKINGS

Top 44,204

in Total Papers Downloads

2,112

SSRN CITATIONS

2

CROSSREF CITATIONS

1

Ideas:
“  I am currently working on using generative AI to analyze text, audio-visual data to uncover interesting marketing insights  ”

Scholarly Papers (8)

1.

AI and AI-Human Based Salesforce Hiring using Conversational Interview Videos

Number of pages: 55 Posted: 27 Jun 2022 Last Revised: 05 Dec 2023
Ishita Chakraborty, Khai Chiong, Howard Dover and K. Sudhir
University of Wisconsin - Madison - Department of Marketing, University of Texas at Dallas - Naveen Jindal School of Management, University of Texas at Dallas and Yale School of Management
Downloads 790 (59,690)

Abstract:

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Human-AI, Video Analytics, B2B, Salesforce, Machine Learning

2.

Artificial Intelligence applications to customer feedback research: A review

Number of pages: 27 Posted: 07 Jun 2022 Last Revised: 06 Jul 2023
Peter S. Lee, Ishita Chakraborty and Shrabastee Banerjee
Yale School of Management, University of Wisconsin - Madison - Department of Marketing and Tilburg University - Department of Marketing
Downloads 568 (90,983)
Citation 3

Abstract:

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customer feedback, online reviews, AI in Marketing

3.

The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks

Number of pages: 42 Posted: 13 Jan 2024
Isamar Troncoso, Minkyung Kim, Ishita Chakraborty and SooHyun Kim
Harvard Business School, Carnegie Mellon University - David A. Tepper School of Business, University of Wisconsin - Madison - Department of Marketing and Marshall School of Business - University of Southern California
Downloads 272 (211,650)

Abstract:

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4.

Hybrid Marketing Research: Large Language Models as an Assistant

Number of pages: 60 Posted: 17 Jan 2024 Last Revised: 27 Mar 2024
Neeraj Arora, Ishita Chakraborty and Yohei Nishimura
Wisconsin School of Business, University of Wisconsin - Madison - Department of Marketing and University of Wisconsin - Madison - Department of Marketing
Downloads 229 (250,033)

Abstract:

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Generative AI, Natural language processing, Qualitative research, Surveys

5.

When Do Consumers Talk?

Number of pages: 47 Posted: 19 Jul 2022
Ishita Chakraborty, Joyee Deb and Aniko Oery
University of Wisconsin - Madison - Department of Marketing, Yale School of Management and Yale University - Cowles Foundation
Downloads 117 (437,545)
Citation 1

Abstract:

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brand image, costly communication, recommendation engines, review platforms, word of mouth

6.

Neither a Picasso Nor a Da Vinci: A Multi-modal Model for Pricing of Novice Artwork

Number of pages: 44 Posted: 17 Jan 2024
Tuck School of Business, Dartmouth College, University of Wisconsin - Madison - Department of Marketing, Takeup.ai and Independent
Downloads 100 (496,513)

Abstract:

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Artwork pricing, multi-modal neural network, RESNET, Transformers, Pricing App for novice artists

7.

What’s in a Response? Uncovering Management Response Strategies and Their Impact on Future Ratings and Sales

Number of pages: 48 Posted: 12 Apr 2024
Hülya Karaman, Ishita Chakraborty and Shrabastee Banerjee
Singapore Management University - Lee Kong Chian School of Business, University of Wisconsin - Madison - Department of Marketing and Tilburg University - Department of Marketing
Downloads 36 (812,504)

Abstract:

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online reviews, management response, NLP, deep learning, reputation management

8.

Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes

Cowles Foundation Discussion Paper No. 2176, March 2019
Posted: 29 May 2019 Last Revised: 27 Sep 2021
Ishita Chakraborty, Minkyung Kim and K. Sudhir
University of Wisconsin - Madison - Department of Marketing, Carnegie Mellon University - David A. Tepper School of Business and Yale School of Management

Abstract:

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Text mining, Natural language processing (NLP), Convolutional neural networks (CNN), Long-short term memory (LSTM) Networks, Deep learning, Lexicons, Endogeneity, Self-selection, Online reviews, Online ratings, Customer satisfaction