RICK WILSON

Department of Management Science & Information Systems
Dan and Tiffany Howard MBA Faculty Fellow
W. Paul Miller Professorship in Business Administration
Professor

449A BUSINESS BLDG.
STILLWATER, OK 74078
Phone: 405-744-3551

rick.wilson@okstate.edu

Education

• Ph D, University of Nebraska-Lincoln, Management Information Systems, 1990
• MS, Creighton University, Computer Systems Management, 1987
• BS, University of Nebraska-Lincoln, Computer Science/Engineering, 1983

Publications

• Rick Wilson. "College Football Overtime Outcomes: Implications for In-game Decision Making". Frontiers in Artificial Intelligence: AI in Business (Forthcoming).
• C.M. Fuller, D.P. Twitchell, David Biros, and Rick Wilson. (2015). "Real-World Deception and the Impact of Severity". Journal of Computer Information Systems. (55), 2, 59-67.
• Rick Wilson. (2012). "Solving the Solver: A Practical Introduction to the Use of Management Science in Business Through Spreadsheets". Green River Technologies.
• Rick Wilson. (2011). "American Football: Rules and Research". Wiley Encyclopedia of Operations Research and Management Science.
• Rick Wilson. (2011). "Impact of Class Selection Reasons On On-LIne Student Performance: An Operations Management Case Study". International Journal of Management in Education.
• H Koch, C Van Slyke, R Watson, Rick Wilson, and J Wells. (2010). "Best Practices for Increasing IS Enrollment: A Program Perspective". Communications of the AIS. (26), 22,
• Christie Fuller, David Biros, and Rick Wilson. (2009). "Decision Support for Determining Veracity via Linguistic Based Cues". Decision Support Systems. (46), 695-703.
• G. Kannabirian, Ramesh Sharda, A. Gupta, and Rick Wilson. (2009). "Predictors of Effective IS Strategy Implementation: A Longitudinal Study of Indian Organizations". Asia-Pacific Business Review. (V), 2, 3-27. http://dx.doi.org/10.1177/097324700900500201.
• Christie Fuller and Rick Wilson. (2008). ""Extracting Knowledge From Neural Networks," in Knowledge Management: Concepts, Methodologies, Tools and Applications". IDEA Group Publishing. 748-757.
• Christie Fuller and Rick Wilson. (2008). "Assessing Extracted Knowledge from Classifier Neural Networks: An Exploratory Empirical Study". International Journal of Management and Decision Making. (8), 1, 62-74.
• M. Al-Ahmadi, P. Rosen, and Rick Wilson. (2008). "Data Mining Performance on Perturbed Databases: Important Influences on Classification Accuracy". International Journal of Information and Computer Security. (2), 1, 71-85.
• Rick Wilson, P. Rosen, and M. Al-Ahmadi. (2008). "Knowledge Structure and Data Mining Techniques". Knowledge Management: Concepts, Methodologies, Tools and Applications. 874-885.
• Rick Wilson, Peter Rosen, and M. Al-Ahmadi. (2008). "Knowledge Structure and Data Mining Techniques". Data Warehousing and Mining: Concepts, Methodologies, Tools and Applications.
• Rick Wilson and P. Rosen. (2008). "Protecting Data through Perturbation: The Impact on Knowledge Discovery in Databases". Information Security and Ethics: Concepts, Methodologies, Tools and Applications. 1550-1561.
• P. Rosen and Rick Wilson. (2007). "An Analysis of the Defense First Strategy in College Football Overtime Games". Journal of Quantitative Analysis in Sports. (3), 2,
• Christie Fuller and Rick Wilson. (2006). ""Extracting Knowledge From Neural Networks," in Encyclopedia of Knowledge Management". IDEA Group Publishing. 188-196.
• Rick Wilson, P. Rosen, and M. Al-Ahmadi. (2006). "Knowledge Discovery in Database Secured via Perturbation Techniques". Encyclopedia of Knowledge Management. 787-794.
• Rick Wilson, P. Rosen, and M. Al-Ahmadi. (2006). "Knowledge Structure: Understanding Why Data Mining Techniques Perform Differently". Encyclopedia of Knowledge Management. 523-529.
• Rick Wilson. (2005). "Validating a Division I-A College Football Season Simulation System". Proceedings of the Winter Simulation Conference.
• Rick Wilson and P. Rosen. (2005). ""Databases, Security, Accuracy and Knowledge Discovery: An Update," in Recent Advances in Database Management". Hershey, PA: IGI Press. (4), Ch. 3,
• Christie Fuller and Rick Wilson. (2005). "Comparing Methods to Extract the Knowledge From Neural Networks". Proceedings of the Eleventh Americas Conference on Information Systems.
• Rick Wilson and P. Rosen. (2003). "Protecting Data through Perturbation: The Impact on Knowledge Discovery in Databases". Journal of Database Management. (14), 2, 14-26.
• Rick Wilson and P. Rosen. (2002). "The Impact of Data Perturbation Techniques on Data Mining Accuracy". Proceedings of the 2002 Annual Meeting of the Decision Sciences Institute.
• Ramesh Sharda, C. Shuffield, and Rick Wilson. (1998). "Telecommunications Management". OR/MS Today. (25), 5,
• Rick Wilson and Ramesh Sharda. (1997). "Business Failure Prediction Using Neural Networks". Encyclopedia of Computer Science and Technology, Marcel Dekker, Inc.. (37), 22, 193-204.
• Ramesh Sharda and Rick Wilson. (1996). "Neural Network Experiments in Business Failures Prediction: A Review of Predictive Performance Issues". International Journal of Computational Intelligence and Organizations. (1), 2, 107-117.
• Rick Wilson and Ramesh Sharda. (1994). "Bankruptcy Prediction Using Neural Networks". Decision Support Systems, Elsevier. (11), 545-557. http://dx.doi.org/10.1016/0167-9236(94)90024-8.
• Rick Wilson and Ramesh Sharda. (1993). "Knowledge Acquisition in Expert Systems and Neural Networks: The Case of Packer Selection in Oil Well Design". Neural Networks in Design and Manufacturing, World Scientific Pub Co Inc . 121-133. ISBN:981-02-1281-X.
• Rick Wilson and Ramesh Sharda. (1993). "Performance Comparison Issues in Neural Network Experiments for Classification Problems". Proceedings of the 26th Hawaii International Conference on Systems Sciences. http://dx.doi.org/10.1109/HICSS.1993.284245.
• Rick Wilson and Ramesh Sharda. (1992). "Neural Networks". OR/MS Today. (19), 4, 36-42.
• Rick Wilson, Ramesh Sharda, and M. Odom. (1991). "Predicting Firm Failure: Neural Network vs. a Discriminant Analysis Approach". Proceedings of the Oklahoma Symposium on Artificial Intelligence.