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Anindya Ghose

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Anindya Ghose (born ca 1974) is an Indian-born American academic, and the Heinz Riehl Chair Professor of Business at New York University's Stern School of Business and the Director of the Masters of Business Analytics program at NYU Stern.[1] He has been a Visiting Professor at the Wharton School of Business. He serves as the Chief Data Scientist of 3TI World in China,[2] Scientific Expert with Cornerstone Research[3] and Scientific Advisor to OneVest in USA.[4] In 2014 he was named by the blog Poets and Quants as one of the "Top 40 Professors Under 40 Worldwide"[5] and by Analytics Week as one the "Top 200 Thought Leaders in Big Data and Business Analytics".[6]

He is a recipient of the highly 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. 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 the entire Information Systems, operations and Marketing academic disciplines in business schools globally.

Life and work

Ghose received a B.Tech in Instrumentation and Control Engineering in 1996 from Regional Engineering College in India, a MBA in 1998 from the Indian Institute of Management Calcutta(IIMC), and a MS in 2002 and a PhD in Management Sciences in 2004 from Carnegie Mellon University.[7]

He has consulted in various capacities for Apple, AMD, Berkeley Corporation, Dataxu, Facebook, HCL-Hewlett Packard, IBM, Samsung, and 3TI China, and worked closely with Alibaba, China Mobile, Google, Microsoft, Recobell, Travelocity and many other leading Fortune 500 firms on realizing business value from IT investments, internet marketing, business analytics, mobile marketing, digital analytics and other topics. He has published more than 80 papers in premier scientific journals and peer reviewed conferences, and has given more than 200 talks internationally. He is a frequent keynote speaker in executive gatherings and thought leading events globally. His research has received 15 best paper awards and nominations. He is a winner of the NSF CAREER award and has been awarded 14 grants from Adobe, Google, Microsoft 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 product reviews, reputation and rating systems, digital marketing, sponsored search advertising, wearable technologies, mobile commerce, mobile advertising, crowdfunding, and online markets. He also plays a senior advisory role to several start-ups in the Internet space. He has been interviewed and his research has been profiled numerous times[citation needed] in the BBC, Bloomberg TV, New York Times, Financial Times, Forbes, NBC, Xinhua, Time, LA Times, Reuters, Washington Post, New York Daily, National Public Radio, Wall Street Journal, MSNBC, CNBC, China Daily, Knowledge@Wharton, and elsewhere.

He teaches for the Master of Science in Business Analytics Program for Executives (MSBA), which is jointly hosted by NYU Stern and NYU Shanghai and in the UG, MBA, TRIUM and EMBA programs.[8]

Ghose's research interests are in the field of analyzing the "economic consequences of the Internet on industries and markets transformed by its shared technology infrastructure."[9] His work primarily discusses the machinations and effects of Internet and electronic systems on social economic impact. Subtopics of this research include: crowdfunding, search engine advertisement monetization, mobile commerce,and commerce in social media.[10]

Publications

Ghose is the co-author of over thirty publications and working papers.[1][11] A selection:

  • Gal-Or, Esther; Ghose, Anindya (2005). "The economic incentives for sharing security information" (PDF). Information Systems Research. 16 (2): 186–208. doi:10.1287/isre.1050.0053. Archived from the original (PDF) on 2013-10-29. {{cite journal}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)
  • Forman, Chris; Ghose, Anindya; Wiesenfeld, Batia (2008). "Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets" (PDF). Information Systems Research. 19 (3): 291–313. doi:10.1287/isre.1080.0193. Archived from the original (PDF) on 2013-10-29. {{cite journal}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)
  • Ghose, Anindya; Yang, Sha (2009). "An empirical analysis of search engine advertising: Sponsored search in electronic markets". Management Science. 55 (10): 1605–1622. CiteSeerX 10.1.1.151.2788. doi:10.1287/mnsc.1090.1054.

References

  1. ^ a b "Faculty and Research-Anindya Ghose".
  2. ^ http://www.3tiworld.com/en/about.shtml
  3. ^ https://www.cornerstone.com/Publications/Press-Releases/Anindya-Ghose-Affiliates-with-Cornerstone-Research
  4. ^ http://blog.onevest.com/blog/2014/10/23/nyu-professor-and-data-expert-joins-onevests-board-of-advisors
  5. ^ http://poetsandquants.com/2014/02/12/best-prof-anindya-ghose/
  6. ^ https://analyticsweek.com/top-200-thought-leaders-in-bigdata-analytics/
  7. ^ "Anindya Ghose CV".
  8. ^ "Master of Science in Business Analytics".
  9. ^ "Anindya Ghose-Personal Website".
  10. ^ "Information Systems Research-Anindya Ghose".
  11. ^ "Anindya Ghose: NYU Stern School and The Wharton School". Google Scholar Profile.
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