CredentialsPh.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 InterestsDecision support, meta-choice, public choice, decision-theoretic planning, combinatorial auctions, heuristic search.
articles and reports
Brydon, M. J., & 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? Sloan Management Review, 51(4), 71-76.
Brydon, M. J., & 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), 1399-1420. 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. J., & Gemino, A. C. (2007). 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. J. (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. J., & 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. J. (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: I G I 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: I G I Global. http://doi.org/10.4018/978-1-60566-058-5.ch155