Gordon Burtch

Assistant Professor
Information & Decision Sciences


  • PhD 2013
    Management Information Systems Temple University

  • MBA 2007
    Management Information Systems McMaster University

  • B. Eng. 2005
    Software Engineering McMaster University


  • Gord is an expert in the areas of crowdfunding, crowdsourcing, social media and word of mouth. His work relies primarily on econometrics and randomized field experiments.

Dr. Gordon Burtch is an Assistant Professor of Information & Decision Sciences at the University of Minnesota's Carlson School of Management. His research, which focuses on the economic evaluation of information systems, employs empirical analyses rooted in econometrics and field experimentation to identify and quantify the drivers of individual behavior in online social contexts. His work has been published in top academic journals and international conference proceedings, including Management Science, Information Systems Research, MIS Quarterly and the International Conference on Information Systems (ICIS). His research and opinions have been cited by a variety of prominent media outlets, including the LA Times, Forbes, Time, Wired, Vice and PC World.

Dr. Burtch has reviewed on behalf of all the top journals and conferences in the field of information systems, and he recently received a best Associate Editor award from the OCIS division at the 2013 Academy of Management annual meeting. He served as a member of the program committee for AMCIS 2012, as well as an Associate Editor for ICIS 2014 and a track chair for ICEC 2014.

Prior to entering academia, Dr. Burtch was employed as an information systems auditor, a hardware design engineer, and most recently as a technology consultant with Accenture Canada in Toronto. His teaching interests include data analytics and digital marketing. He holds a B. Eng and an MBA from McMaster University, as well as a PhD in Business Administration from Temple University.

Current Activities

Current Research

  • My research focuses on the economic evaluation of information systems, with a particular focus on individual behavior in online contexts incorporating user-generated content and social media. My work employs field experimentation and econometric modeling, in tandem with large-scale web-data, to identify and quantify the drivers of said behavior. Most recently, I have undertaken an extensive study of crowdfunding, in an attempt to understand the role played by various social factors (e.g., peer influence, social comparison). More generally, I am keenly interested in a wide variety of online social phenomena and contexts, including social commerce, open innovation and crowdsourcing platforms, online referral-based marketing and electronic auctions.
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