Anindya Ghose

New York University — United States

Business, Management and Accounting · Social Sciences

55h-index13.8kcitations243works2.22yr avg
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Research Topics

Consumer Market Behavior and Pricing(105), Digital Marketing and Social Media(77), Digital Platforms and Economics(74), Auction Theory and Applications(25), Technology Adoption and User Behaviour(23)

Publications243 total

Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement
SSRN Electronic Journal·2023· 2 citedOpen Access
<div> <div> <div> <p><span>Predicting Consumer In-Store Purchase through Real-Time Video Analytics: An Advanced Computer Vision and Deep Learning Approach</span></p> </div> </div></div>
SSRN Electronic Journal·2023Open Access
Designing Distributed Ledger technologies, like Blockchain, for advertising markets
International Journal of Research in Marketing·2022· 37 cited
Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform
Information Systems Research·2022· 18 cited
Do Non-monetary Virtual Gifts Enhance or Diminish Voluntary Paid Gifts on a Live Streaming Platform?
Academy of Management Proceedings·2022· 1 cited
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence From Econometric Models And Machine-Learning Instruments
MIS Quarterly·2022· 15 cited
Empowering Patients Using Smart Mobile Health Platforms: Evidence From a Randomized Field Experiment
MIS Quarterly·2022Open Access
Do Non-monetary Virtual Gifts Enhance or Diminish Voluntary Paid Gifts? Evidence From a Video Game Live Streaming Platform
SSRN Electronic Journal·2022· 4 citedOpen Access
Gendered Information in Resumes and Hiring Bias: A Predictive Modeling Approach
SSRN Electronic Journal·2022· 7 citedOpen Access
Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model
Information Systems Research·2021· 46 cited
The Interplay Between Online Reviews and Physician Demand: An Empirical Investigation
Management Science·2021· 125 cited
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
SSRN Electronic Journal·2021Open Access
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile\n Application: Evidence from Econometric Models and Machine-Learning\n Instruments
arXiv (Cornell University)·2021Open Access
Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment
arXiv (Cornell University)·2021· 25 citedOpen Access
The Economics of 5G and the Mobile Economy
Journal of the Association for Information Systems·2021· 2 cited
Consumers' Path to Purchase Journeys: An Omnichannel Deep-Learning Model
SSRN Electronic Journal·2021Open Access
Mobile Push versus Pull Targeting and Geo-Conquesting
SSRN Electronic Journal·2021Open Access
Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process
Information Systems Research·2020· 44 cited
Trading Privacy for Social Good: Did America Unite During COVID-19?
Journal of the Association for Information Systems·2020· 2 cited
Predicting Stages in the Consumer Path-Purchase Journey: An Omnichannel Deep-Learning Model
SSRN Electronic Journal·2020· 1 citedOpen Access
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Frequent Co-authors

Panagiotis G. Ipeirotis(10), Gordon Burtch(7), Sunil Wattal(7), Beibei Li(5), Chris Forman(4), Sha Yang(4), Avi Goldfarb(4), Sang Pil Han(4), Jason Chan(4), Param Vir Singh(3), Arun Sundararajan(3), Batia M. Wiesenfeld(2), Rahul Telang(2), Tridas Mukhopadhyay(2), Uday Rajan(2), Nikolay Archak(2), Vilma Todri(2), Michelle Andrews(1), Xueming Luo(1), Zheng Fang(1)