Gordon Burtch
3-368 Carlson School
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Gordon Burtch

Associate Professor & McKnight Presidential Fellow
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.

I am an Associate Professor (with tenure) of Information & Decision Sciences and a McKnight Presidential Fellow at the University of Minnesota, in the Carlson School of Management. My 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 participation in online social contexts. My work has been published in various leading journals, including Management Science, Information Systems Research, MIS Quarterly, and the Journal of Consumer Psychology.

I am a recipient of both the AIS Early Career Award (2017) and the INFORMS ISS Sandra A. Slaughter Early Career Award (2017). I am a recipient of the INFORMS ISR and ISS best paper award (2014). My research has been supported by more than $100,000 in grants from the Ewing Marion Kauffman Foundation (2014, 2016), as well as grants from the NET Institute (2014, 2016), the 3M Foundation (2014-2016) and Adobe (2018). My work and opinions have been cited by numerous outlets in the popular press, including The New York Times, the Wall Street Journal, NPR, Time Magazine, Forbes, Vice, Wired, the LA Times, Pacific Standard and PC Magazine. I am a repeated recipient of the Distinguished Service Award from Management Science (2014, 2015, 2016), as well as the Best Reviewer Award from Information Systems Research (2016). I am presently serving as an Associate Editor at ISR, I have previously served as track chair and associate editor for the International Conference on Information Systems (ICIS), as well as conference co-chair for the Workshop on Information Systems and Economics (2016). I will serve as co-chair of WISE once again in 2019.

Prior to entering academia, I was employed as an information systems auditor, a hardware design engineer, and most recently as a technology consultant with Accenture Canada in Toronto. I teach graduate courses on data analytics and IT management. I hold a Bachelor of Engineering and a Master of Business Administration from McMaster University, as well as a PhD in Business Administration from Temple University's Fox School of Business.

Selected Works

Hong, Y., Hu, Y., & Burtch, G. (2018). Embeddedness, Pro-Sociality and Social Influence: Evidence from Online Crowdfunding. MIS Quarterly, Forthcoming.
Huang, N., Burtch, G., Gu, B., Hong, Y., Liang, C., Wang, K., Fu, D., & Yang, B. (2018). Motivating User-Generated Content via Performance Feedback: Evidence from Randomized Experiments. Management Science, Articles in Advance.
Burtch, G., Carnahan, S., & Greenwood, B. (2018). Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurship. Management Science, Articles in Advance.
Burtch, G., Hong, Y., Bapna, R. & Griskevicius, V. (2018). Stimulating Online Reviews by Combining Financial Incentives and Social Norms. Management Science, 64(5), p. 2065-2082.
Yang, M., Adomavicius, G., Burtch, G., & Ren, Y. (2018). Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated Via Data Mining. Information Systems Research, 29(1), p. 4-24. (Lead Article)
Huang, N., Hong, Y. & Burtch, G. (2017). Social Network Integration and User Content Generation: Evidence from Natural Experiments. MIS Quarterly, 41(4), p. 1035-1058.
Burtch, G., Ghose, A., & Wattal, S. (2015). The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment. Management Science, (61:5). p. 949-962.

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.