Joined Stern 2004
Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-67
New York, NY 10012
E-mail ag122@stern.nyu.edu
Personal website
Follow on Twitter
Joined Stern 2004
Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-67
New York, NY 10012
E-mail ag122@stern.nyu.edu
Personal website
Follow on Twitter
Anindya Ghose is the Heinz Riehl Chair Professor of Technology and Marketing at New York University's Leonard N. Stern School of Business where he holds a joint appointment in the TOPS and Marketing departments. He is the author of TAP: Unlocking The Mobile Economy which is a double winner in the 2018 Axiom Business Book Awards and has been translated into five languages (Korean, Mandarin, Vietnamese, Japanese and Taiwanese). He is the Director of the Masters of Business Analytics and AI Program at NYU Stern. He is a Leonard Stern Faculty Scholar with an MBA scholarship (the Ghose Scholarship) named after him. He has been a Visiting Professor at the Wharton School of Business. In 2014, he was named by Poets & Quants as one of the Top 40 Professors Under 40 Worldwide and by Analytics Week as one the "Top 200 Thought Leaders in Big Data and Business Analytics".
He is the youngest recipient of the prestigious INFORMS ISS Distinguished Fellow Award, given to recognize individuals who (i) have made outstanding intellectual contributions to the discipline with publications that have made a significant impact on theory, research, and practice and (ii) intellectual stewardship of the field as reflected in the mentoring of doctoral students and young researchers. In 2017 he was recognized by Thinkers50 as one of the Top Management Thinkers globally most likely to shape the future of how organizations are managed and led in the next generation. Thinkers50 also bestowed the Distinguished Achievement Award Nomination for 'Digital Thinking' in 2017. In 2019, he was recognized by Web of Science citation Index in the top 1% of researchers selected for their significant influence in their fields over a 10 year period (2008-2018). In 2020, he was recognized by the INFORMS Information Systems Society (ISS) with the inaugural Practical Impacts Award. This award honors business school academics who have demonstrated outstanding leadership and sustained impact on the industry by deeply influencing practitioners, managers, executives, and policy makers using their academic research. In 2022, he became the youngest recipient of the Distinguished Alumni Award from IIM Calcutta in its 58 year history. He received the AIS Fellow Award in 2022. This award is given to scholars who have made significant global contributions to the discipline in terms of research, teaching and service. His rise from assistant to full professor in 8.5 years at NYU Stern is widely regarded as one of the fastest in the history of several disciplines in business schools globally.
He has consulted in various capacities for Alibaba, Apple, Berkeley Corporation, CBS, Dataxu, DFS Group, Facebook, Google, HR Ratings Mexico, Marico India, Microsoft, NBC Universal, OneVest, Samsung, Showtime, Snapchat, TD Bank, Tinder, Verizon, Yahoo, 1-800-Contacts, and 3TI World, and collaborated with Adobe, Alibaba, China Mobile, Google, IBM, Indiegogo, Iqiyi, Microsoft, Recobell, Telefonica, Travelocity, Via, and many other leading firms on realizing business value from IT investments, internet marketing, business analytics, mobile marketing, digital analytics, social media, and other areas. He serves or has serverd as an Advisor to start-ups in the US, India, Hong Kong, Netherlands, South Korea, Singapore, and China including Revenue Roll, Lucidity, Adrealm, Leverage Edu, Netcore, Co-FoundersLab, Ibus Networks, ZeroWeb, and EywaMedia amongst others. He is a Council Board Member of the All India Gaming Federation.
He has provided expert testimony in multiple trials and depositions. He has experience in securities, intellectual property, antitrust and competition, trademark and copyright infringement, valuation, and merger appraisal cases. He has provided expert deposition or trial testimony in several high profile litigation matters, including the Tinder vs. Match valuation lawsuit, the Facebook IPO matter, the Verizon-AOL merger appraisal matter, the Federal Trade Commission's anti-trust case against 1-800-Contacts, the Snapchat patent violation case against Vaporstream, the counterfeit goods case against Amazon, the Yahoo privacy breach matter, and the interactive music streaming royalty rate case between Apple, Amazon, Google, Spotify, and the Copyright Royalty Board and the District of Columbia vs Facebook privacy matter. He is affiliated as a Scientific Expert with Compass Lexecon.
He has published more than 115 papers in premier scientific journals and peer reviewed conferences, and has given more than 300 talks internationally. He is a frequent keynote speaker in executive gatherings and thought leading events globally. His research has received 27 best paper awards and nominations. He is a winner of the NSF CAREER award and has been awarded 16 grants from Google, Microsoft, Adobe, Marketing Science Institute, and several other corporations. His research analyzes the economic consequences of the Internet on industries and markets transformed by its shared technology infrastructure. He has worked on digital platforms, product reviews, reputation and rating systems, digital marketing, data privacy trade-offs, digital advertising, wearable technologies, mobile commerce, mobile advertising, crowdfunding, and online markets.
He has been interviewed and his research has been profiled numerous times in the BBC, Bloomberg TV, CNBC, China Daily, The Economist, The Economic Times, Financial Times, Fox News, Forbes, The Guardian, Knowledge@Wharton, Korean Broadcasting News Company, Los Angeles Times, Marketplace Radio, MSNBC, National Public Radio, NBC, Newsweek, New York Times, New York Daily, NHK Japan Broadcasting, Quartz, Reuters, Time Magazine, Washington Post, Wall Street Journal, Xinhua, and elsewhere. He teaches courses on social media, digital marketing, business analytics and IT strategy at the undergraduate, MBA, EMBA, MSBA, and Executive Education level in various parts of the world including the US, India, China, South Korea, Taiwan, and Europe.
He has served on the Research Council of the Wharton Customer Analytics Institute, and is a faculty affiliate with the Marketing Science Institute. He has served as an Associate Editor of Management Science and a Senior Editor of Information Systems Research and is currently serving as a Department Editor of Management Science. He has a B. Tech in Engineering from the National Institute of Technology (NIT) in Punjab, and an M.B.A in Finance, Marketing and Systems from the Indian Institute of Management, Calcutta. He received his M.S. and Ph.D. from Carnegie Mellon University's Tepper School of Business.
Anindya is an avid high-altitude mountaineer. He has climbed in five continents, and is looking forward to his next summit.
Ph.D., Information Systems
Carnegie Mellon University
M.S., Information Systems
Carnegie Mellon University
M.B.A., Finance, Marketing & Systems
Indian Institute of Management, Calcutta
BTech (with honors), Electronics & Instrumentation Engineering
REC, Jalandhar, India
ICIS Best Impact Paper Award | 2022 | |
Best Paper Award Finalist, Management Science | 2022 | |
AIS Fellow Award, Association of Information Systems | 2022 | |
Distinguished Alumni Award, IIM Calcutta | 2022 | |
ISR Best Paper Runner Up Award | 2021 | |
Appointment as Department Editor (IS) of Management Science | 2020 | |
INFORMS ISS Inaugural Practical Impact Award | 2020 | |
Best Paper Award Finalist, Management Science | 2020 | |
Inaugural Practical Impact Award, INFORMS IS Society | 2020 | |
NYU Stern Distinguished Teaching Award | 2019 | |
Top 1% Highest Cited Researcher Recognition by Thomson Reuters between 2008-2018 | 2019 | |
Axiom Business Books Award for TAP (Gold in 'Business Technology' and Bronze in 'Economics') | 2018 | |
Selected for Thinkers50 Radar Award | 2017 | |
Distinguished Fellow Award from the INFORMS IS Society | 2015 | |
Selected For Top 200 Thought Leaders for Big Data and Business Analytics by | 2014 | |
Best Paper in Information Systems Research | 2014 | |
Best Paper in Management Science IS department from the last 3 years (2011-2013) | 2014 | |
Selected For Top 40 Under 40 Business School Professors by | 2014 | |
Best Overall Conference Paper Award, American Marketing Association (AMA) Conference | 2014 | |
Google Faculty Research Award | 2013 |
Andrews, M., X. Luo, D. Zhang, and A. Ghose (2015)
Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness
forthcoming, Marketing Science
Huang, Y., P. Singh, and A. Ghose (2015)
A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media
forthcoming, Management Science
Burtch, G., A. Ghose, and S. Wattal (2015)
The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment
Management Science
Ghose, A., and S. Han (2014)
Estimating Demand for Mobile Apps in the New Economy
Management Science
Chan, J., A. Ghose (2014)
Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission
MIS Quarterly
Burtch, G., A. Ghose, S. Wattal (2014)
Cultural Differences and Geography as Determinants of Online Pro-Social Lending
MIS Quarterly
Ghose, A., P. Ipeirotis, B. Li (2013)
Examining the Impact of Ranking and Consumer Behavior on Search Engine Revenue
Management Science
Burtch, G., A. Ghose, S. Wattal (2013)
An Empirical Examination of the Antecedents and Consequences of Investment Patterns in Crowd-Funded Markets
Information Systems Research
Ghose, A., A. Goldfarb, S. Han (2013)
How is the Mobile Internet Different? Search Costs and Local Activities
Information Systems Research
Ghose, A., P. Ipeirotis, and B. Li (2012)
Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content
Marketing Science