Anindya Ghose

About

The page provides information about the NYU Stern Center for Research Computing (SCRC), which is dedicated to providing world-class computational facilities and services to researchers at the Stern School of Business. These services include a moderately sized Slurm HPC cluster, Cloud Computing (Virtual Machines), data acquisition and storage, research software, and access to WRDS (Wharton Research Data System). The center offers a comprehensive suite of software services designed to facilitate advanced computational research and data analysis, along with access to datasets from diverse disciplines through collaborations with data repositories, platforms, and academic institutions. Additionally, the center supports faculty and researchers' projects with a wide range of computing services and resources, including high-speed, robust, and scalable storage systems to meet diverse computational and storage needs.

Research topics

• Computer Science
• Business
• Marketing
• Political Science
• Multimedia
• Human–computer interaction
• Internet privacy
• Economics

Selected publications

• Informational Challenges in Omnichannel Marketing: Remedies and Future Research

  Journal of Marketing · 2020 · 217 citations

  Omnichannel marketing is often viewed as the panacea for one-to-one marketing, but this strategic path is mired with obstacles. This article investigates three challenges in realizing the full potential of omnichannel marketing: (1) data access and integration, (2) marketing attribution, and (3) consumer privacy protection. While these challenges predate omnichannel marketing, they are exacerbated in a digital omnichannel environment. This article argues that advances in machine learning and blo…

  PublisherOA PDFDOI

• The Interplay Between Online Reviews and Physician Demand: An Empirical Investigation

  Management Science · 2021 · 137 citations

  Senior authorCorresponding

  Social media platforms for healthcare services are changing how patients choose physicians. The digitization of healthcare reviews has been providing additional information to patients when choosing their physicians. On the other hand, the growing online information introduces more uncertainty among providers regarding the expected future demand and how different service features can affect patient decisions. In this paper, we derive various service-quality proxies from online reviews and show t…

  PublisherDOI

• Mobile Payment Adoption: An Empirical Investigation of Alipay

  Information Systems Research · 2023-07-07 · 57 citations

  article

  The rapid growth in the adoption of mobile payments has already begun to reshape bank payment practices. Utilizing a unique data set from a leading bank in Asia that records credit card transactions of its customers before and after the launch of Alipay mobile payment, the largest mobile payment platform in the world, this study aims to understand the impact of mobile payment adoption on bank customer credit card activities and the change of this impact after the mobile payment expansion. To do…

  PublisherDOI

• The Interplay of Earnings, Ratings, and Penalties on Sharing Platforms: An Empirical Investigation

  Management Science · 2023-04-19 · 42 citations

  article

  On-demand delivery through sharing platforms represents a rapidly expanding segment of the global workforce. The emergence of sharing platforms enables gig workers to choose when and where to work, allowing them to do so in a flexible manner. However, such flexibility brings notorious challenges to platforms in managing the gig workforce. Thus, understanding the incentive and behavioral issues of gig workers in this new business model is inherently meaningful. This paper investigates how the inc…

  PublisherDOI

• Designing Distributed Ledger technologies, like Blockchain, for advertising markets

  International Journal of Research in Marketing · 2022-09-15 · 37 citations

  article
  PublisherDOI

Recent grants

• CAREER: Identifying and Measuring the Economic Value of Information on the Internet

  NSF · $498k · 2007–2013

Frequent coauthors

• Beibei Li

  91 shared

• Yuanyuan Dang

  South China University of Technology

  66 shared

• Xitong Guo

  66 shared

• Raghuram Iyengar

  University of Pennsylvania

  40 shared

• S. Sriram

  Ross School

  38 shared

• Catherine E. Tucker

  37 shared

• Sriraman Venkataraman

  Quantitative BioSciences

  37 shared

• Hanna Hałaburda

  37 shared

Awards & honors

• AIS Fellow Award, Association of Information Systems, (2022)
• Distinguished Alumni Award, IIM Calcutta, (2022)
• ICIS Best Impact Paper Award, (2022)
• ISR Best Paper Runner Up Award, (2021)
• Inaugural Practical Impact Award, INFORMS ISS, (2020)

Similar researchers at New York University

• Michael Feldmanh-73
• Alexander Tuzhilinh-49
• Michael Pinedoh-44