Associate Professor
Information Systems
SB1 3215
PhD in OPIM, University of Pennsylvania (Wharton)
MA in Statistics, University of Pennsylvania (Wharton)
BTech in Computer Science, Indian Institute of Technology - Kanpur
Technology-enabled markets
Digital Advertising
Retail
Online Platforms
Machine-Learning
Causal Inference
Associate Professor
Information Systems
SB1 3215
Technology-enabled markets
Digital Advertising
Retail
Online Platforms
Machine-Learning
Causal Inference
Vibhanshu Abhishek is an Associate Professor of Information Systems 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. He studies how consumers respond to different forms of advertising and how companies can strategically use new advertising channels to connect with their consumers. He also examines the dynamics of e-commerce marketplaces and their interaction with traditional retail. More recently, he is interested in understanding consumer behavior in the presence of shared urban mobility systems.
Dr. Abhishek has published in top management journals like Operations Research, Marketing Science, Management Science, MIS Quarterly and Journal of Interactive Marketing. He is also a recipient of the Google Faculty research award, Adobe Faculty grant, Flipkart research grand and has won several awards like the ISA-INFORMS best paper award, CIST best student paper award and the ISS Nunamaker-Chen Dissertation award.
His research has been cited in popular press outlets such as the Sloan Management Review, NY Times, Forbes, Fortune, Pittsburgh Post Gazette, Seattle times and Wall Street Journal. He has worked with several firms including McKinsey & Co., Sequoia Capital, Pirates, LEGO, Adobe, FICO, IBM and Omnicom and advises hi-tech startups.
He received a PhD in Operations and Information Management and a M.A. in Statistics from the Wharton School, University of Pennsylvania. He also holds a B.Tech in Computer Science from IIT Kanpur. Before joining UC Irvine, Dr. Abhishek was an Assistant Professor of Information Systems at the Heinz College, Carnegie Mellon University.
BOOK CHAPTER
PUBLICATIONS
Excellence in Teaching Award, Paul Merage School of Business, UC Irvine 2019
MSI Young Scholar, Class of 2019
Winner, NABE Tech Economics Conference, Poster Competition, 2018
Best Paper Award, DH, 2018
Mobility 21 Research Grant, 2017
Best Reviewer Award, Information Systems Research 2017
Winner, NABE Tech Economics Conference, Poster Competition, 2017
Best Student Paper Award, Finalist (Zhe Zhang), POMS Supply Chain Track, 2017
Google Faculty Research Award, 2016
Adobe Faculty Research Grant, 2016
Flipkart Research Grant, 2016
WCAI Data Grant, 2015
Best Student Paper Award, Finalist (Yi-Chin Lin), INFORMS, 2015
Best Student Paper Award (Jing Gong), CIST-INFORMS, 2014
CSWIM Best Paper Award, Finalist, 2014
ISA INFORMS Best Paper Award, Runner-Up, 2013
ISS Nunamaker-Chen Dissertation Award, Runner-Up, 2013
PNC Center for Financial Innovation Award, 2013
Berkman Faculty Award, 2013
Best Student Paper Award, CIST-INFORMS, 2011
Mack Center for Technological Innovation Grant, 2011
WCAI Data Grant, 2010
Patty and J. Baker Fellowship, 2009-2012
Duke-Columbia-UCLA Quant Marketing Workshop, 2010
Doctoral Travel Award, 2010
Nominated for the Winkelman Fellowship, 2009
Marketing Science Institute Grant, 2009
Wharton Doctoral Fellowship, 2007-2011
Best B.Tech Project – IIT Kanpur, Finalist 2003. Project on Adaptive Robotics
All India Rank of 87 in IIT Joint Entrance Exam, 1999 (99.94 %tile)
Media Post - Some Ecommerce Product Categories with Less Info Need Paid Ads to Perform Well (09-13-2019)
WSJ - Behavioral Ad Targeting Not Paying Off for Publishers (05-29-2019)
Electronic Frontier Foundation - Research Shows Publishers Benefit Little from Tracking Ads (06-03-2019)
TechCrunch - Targeted ads offer little extra value for online publishers (05-31-2019)
USA Today - Firefox browser blocks sites and advertisers from tracking you online by default (06-04-2019)
Pittsburgh Post-Gazette - Getting the most out of your Fitbit in the New Year (01-02-2018)
Pittsburgh Post-Gazette - Even underwear can be ordered via subscription service (12-14-2017)
MIT SMR - Manufacturers Can Also Win in the Sharing Economy (12-08-2017)
Wheels.ca - Turo Continues to Challenge Car Ownership as it Expands into BC (10-3-2017)
Der Tagesspiegel - Wie der Internetkonzern uns ins reale Leben folgt (9-21-2017)
Sirius XM - The Autonomous Vehicles Testing Bill with Vibhanshu Abhishek and Mike Strong (9-20-2017)
Canadian Auto Dealer - The sharing economy (6-5-2017)
Forbes - 5 Takeaways for The C-Suite From 2016's Vote Prediction Debacles (6-5-2017)
The Hill - Are fitness trackers effective? (10-14-2016)
Seattle Times - The pothole-riddled road to self-driving cars (10-14-2016)
Fortune - Insurer Will Subsidize Apple Watch Purchases to Promote Health (9-27-2016)
Forbes - E-book Price-Fixing: Finding the Best Model for Publishers and Readers (4-26- 2012)
Precios de e-books: buscando el mejor modelo para editoriales y lectores, (5- 21-2015)
Delaware Online - Is agency model beneficial for online shoppers? (4-28-2012)
VOX - Does Apple’s agency model raise eBook prices? (11-14- 2013)
WSJ - Does Apple’s (AAPL) Agency Model Raise eBook Prices? (11-20- 2013)