Vibhanshu Abhishek

About

Vibhanshu Abhishek is an Associate Professor of Information Systems at the Paul Merage School of Business, University of California - Irvine. His research focuses on the effect of emerging technologies on consumers' behavior, business strategy, and market structure. He is particularly interested in multi-channel coordination and examines issues in multi-channel retail, advertising, and pricing. His work studies how consumers respond to different forms of advertising and how companies can strategically utilize new advertising channels to connect with their consumers. Additionally, he investigates the dynamics of e-commerce marketplaces and their interaction with traditional retail, as well as consumer behavior in shared urban mobility systems. Dr. Abhishek holds a PhD in Operations and Information Management and an M.A. in Statistics from the Wharton School, University of Pennsylvania, and a B.Tech in Computer Science from IIT Kanpur. Before joining UC Irvine, he was an Assistant Professor of Information Systems at the Heinz College, Carnegie Mellon University. His research has been published in top management journals and has been cited in various popular press outlets. He has received numerous awards and grants for his research and teaching, and has collaborated with several firms including McKinsey & Co., Sequoia Capital, LEGO, Adobe, IBM, and Omnicom. His expertise encompasses technology-enabled markets, digital advertising, retail, online platforms, machine learning, and…

Research topics

• Computer Science
• Economics
• Artificial Intelligence
• Microeconomics
• Business
• Marketing
• Telecommunications
• Commerce
• Industrial organization
• Psychology

Selected publications

• Business Models in the Sharing Economy: Manufacturing Durable Goods in the Presence of Peer-to-Peer Rental Markets

  Information Systems Research · 2021 · 83 citations

  1st authorCorresponding

  With peer-to-peer sharing of durable goods like cars, boats, and condominiums, it is unclear how manufacturers should react. They could seek to encourage these markets or compete against them by offering their own rentals. This work shows why the best business model depends on whether consumer usage rates vary or not. Contrary to what might be expected, this paper shows that manufacturers have an incentive to facilitate transactions of P2P rental markets in a large variety of cases. We find that…

  PublisherDOI

• When the Bank Comes to You: Branch Network and Customer Omnichannel Banking Behavior

  Information Systems Research · 2020 · 57 citations

  Banks today have been increasingly reducing their physical presence and redirecting customers to digital channels, and yet, the consequences of this strategy are not well studied. This research investigates the effects of banks’ branch network changes (i.e., branch openings and branch closures) on customer omnichannel banking behavior. Using a proprietary data set from a large commercial bank in the United States, this paper shows the asymmetric effects of branch openings and branch closures on…

  PublisherDOI

• Bias in Generative AI

  arXiv (Cornell University) · 2024 · 28 citations

  This study analyzed images generated by three popular generative artificial intelligence (AI) tools - Midjourney, Stable Diffusion, and DALLE 2 - representing various occupations to investigate potential bias in AI generators. Our analysis revealed two overarching areas of concern in these AI generators, including (1) systematic gender and racial biases, and (2) subtle biases in facial expressions and appearances. Firstly, we found that all three AI generators exhibited bias against women and Af…

  PublisherOA PDFDOI

• Strategic Timing and Dynamic Pricing for Online Resource Allocation

  Management Science · 2021-01-21 · 21 citations

  articleOpen access1st authorCorresponding

  This paper optimizes dynamic pricing and real-time resource allocation policies for a platform facing nontransferable capacity, stochastic demand-capacity imbalances, and strategic customers with heterogenous price and time sensitivities. We characterize the optimal mechanism, which specifies a dynamic menu of prices and allocations. Service timing and pricing are used strategically to: (i) dynamically manage demand-capacity imbalances, and (ii) provide discriminated service levels. The balance…

  PublisherOA PDFDOI

• The Impact of “Retail Media” on Online Marketplaces: Insights from a Field Experiment

  Information Systems Research · 2024-05-15 · 9 citations

  article1st authorCorresponding

  A part of retail media wherein sponsored product listings are interleaved with organic product listings in the search results is a large and growing phenomenon. In this paper, we study the impact of displaying sponsored listings at top positions for the platform. Analyzing data from a large-scale field experiment at a leading online marketplace in India, we find nuanced results that substantially vary across product categories. In the electronics category, the sponsored listings receive fewer cl…

  PublisherDOI

Frequent coauthors

• Beibei Li

  10 shared

• Kartik Hosanagar

  9 shared

• Kinshuk Jerath

  6 shared

• Peter S. Fader

  5 shared

• Jiaqi Shi

  Qilu Hospital of Shandong University

  5 shared

• Mi Zhou

  University of British Columbia

  4 shared

• Ee‐Peng Lim

  Singapore Management University

  4 shared

• Xueming Luo

  Temple University

  4 shared

Awards & honors

• Excellence in Teaching Award, Paul Merage School of Business…
• MSI Young Scholar, Class of 2019
• Winner, NABE Tech Economics Conference, Poster Competition,…
• Best Paper Award, DH, 2018
• Mobility 21 Research Grant, 2017

Similar researchers at University of California, Irvine

• Kevork N. Abazajianh-52
• Geoffrey W. Abbotth-42
• Munjal Acharyah-36