Michael Brydon

Associate Professor, Management Information Systems


Room: WMC 3325

Phone: 778.782.5408


Room: SGL 3910

Phone: 778.782.9661

Email: mjbrydon@sfu.ca

Curriculum Vitae: View


Ph.D. (UBC); M.Eng., B. Eng. (Royal Military College of Canada)


Dr. Michael Brydon's twin research interests in technology and applied decision making are a natural result of his graduate engineering degree and a PhD in Commerce. His research straddles the disciplinary boundaries of computer science, economics and decision theory and examines the potential uses of information technology to support decision-making in complex, uncertain environments. His research has involved a number of firms including Alcan, DuPont, Avcorp, and VanCity and has been funded by both the Natural Sciences and Engineering Research Council (NSERC) and the Social Sciences and Humanities Research Council (SSHRC).

Research Interests

Decision support, meta-choice, public choice, decision-theoretic planning, combinatorial auctions, heuristic search.

Selected Publications

articles and reports

Brydon, M., & Vining, A. R. (2016). Combining Citizen Participation and Expert Analysis: A Wild, Wild Horses Problem in British Columbia. Local Government Studies, 42(1), 75-96. http://doi.org/10.1080/03003930.2015.1081847

Brydon, M. J. (2012, October). Don't delegate decision authority to a spreadsheet. Municipal World, 122(10), 19.

Tingling, P. M., & Brydon, M. J. (2010). Is decision-based evidence making necessarily bad? MIT Sloan Management Review, 51(4), 71-76.

Brydon, M., & Gemino, A. (2008). Classification trees and decision-analytic feedforward control: A case study from the video game industry. Data Mining and Knowledge Discovery, 17(2), 317-342. http://doi.org/10.1007/s10618-007-0086-6

Brydon, M., & Vining, A. R. (2008). Adoption, improvement, and disruption: Predicting the impact of open source applications in enterprise software markets. Journal of Database Management, 19(2), 73-94. http://doi.org/10.4018/jdm.2008040104

Brydon, M. J., & Gemino, A. C. (2008). You've data mined. Now What? Communications of the Association for Information Systems, 22, 603-617. http://doi.org/10.17705/1CAIS.02233

Brydon, M. (2006). Economic metaphors for solving intrafirm allocation problems: What does a market buy us? Decision Support Systems, 42(3), 1657-1672. http://doi.org/10.1016/j.dss.2006.02.009

Brydon, M., & Vining, A. R. (2006). Understanding the failure of internal knowledge markets: A framework for diagnosis and improvement. Information and Management, 43(8), 964-974. http://doi.org/10.1016/j.im.2006.09.001

Brydon, M. (2006). Evaluating strategic options using decision-theoretic planning. Information Technology and Management, 7(1), 35-49. http://doi.org/10.1007/s10799-006-5728-7

books chapters and monographs

Brydon, M. J., & Vining, A. R. (2010). A dynamic model of adoption and improvement for open source business applications. In Siau, K., & Erickson, J. (Eds.), Principle Advancements in Database Management Technologies: New Applications and Frameworks (pp. 225-249). Hershey, Pennsylvania, United States: IGI Global. http://doi.org/10.4018/978-1-60566-904-5

Brydon, M. J., & Vining, A. R. (2009). Adoption, improvement and disruption: Predicting the impact of open source applications in enterprise software markets. In Erickson, J. (Eds.), Database technnologies: Concepts, methodologies, tools and applications, Volue IV (pp. 2572-2594). Hershey, Pennsylvania, United States: IGI Global. http://doi.org/10.4018/978-1-60566-058-5.ch155