66 citations · 91 across the 5 of their papers we have counts for
6 papers
LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
Xiang Cheng, Wen Wang, Anindya Ghose
Artificial Intelligence (AI) models increasingly drive high-stakes consumer interactions, yet their decision logic often remains opaque. Prevailing explainable AI techniques rely o…
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin
In this paper, we examine the effectiveness of various recommendation strategies in the mobile channel and their impact on consumers' utility and demand levels for individual produ…
Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment
Anindya Ghose, Xitong Guo, Beibei Li +1
With today's technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we e…
Trading Privacy for the Greater Social Good: How Did America React During COVID-19?
Anindya Ghose, Beibei Li, Meghanath Macha +2
Digital contact tracing and analysis of social distancing from smartphone location data are two prime examples of non-therapeutic interventions used in many countries to mitigate t…
The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment
Gordon Burtch, Anindya Ghose, Sunil Wattal
Online crowdfunding has received a great deal of attention from entrepreneurs and policymakers as a promising avenue to fostering entrepreneurship and innovation. A notable aspect…
Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges
Anindya Ghose, Arun Sundararajan
As Internet-based commerce becomes increasingly widespread, large data sets about the demand for and pricing of a wide variety of products become available. These present exciting…