
Tim Anderson : Curriculum Vitae
Education
- Georgia Institute of Technology, PhD, Industrial and Systems Engineering, 1995
- Georgia Institute of Technology, MS, PhD, Industrial and Systems Engineering, 1993
- University of Minnesota, Bachelor's in Electrical Engineering, 1990
Positions
Engineering and Technology Management Department, Portland State University
Portland International Conference on the Management of Engineering and Technology
Past work and consulting:
- Avery Dennison
- Emery Logistics
- Honeywell
- Nike
- Oki Electric (Tokyo)
- Qwest
- US Postal Service
Selected Publications
Lim, D., Runde, N., & Anderson, T. R. (2013). Applying technology forecasting to new product development target setting of LCD panels. In Advances in Business and Management Forecasting (Vol. 9, pp. 137–152). Emerald Group Publishing.
Lim, D., & Anderson, T. R. (2012). An Introduction to Technology Forecasting with a TFDEA Excel Add-in (pp. 1293–1298).
Lim, D., Anderson, T. R., & Kim, J. (2012). Forecast of Wireless Communication Technology : A Comparative Study of Regression and TFDEA Model (pp. 1247–1253).
Lamb, A.-M., Anderson, T. R., & Daim, T. U. (2012). R&D target-setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis. R&D Management, Forthcomin.
Tanatammatorn, N., & Anderson, T. R. (2011). A Comparison of Energy Efficiency Metrics for School Buildings (pp. 2867–2873).
Leavengood, S., & Anderson, T. R. (2011). Best Practices in Quality Management for Innovation Performance (pp. 1–9). PICMET.
Yang, J., & Anderson, T. (2011). How Open Innovation Strategy is Reflected in the Firms R & D Efficiency DEA Ranking ? (pp. 1613–1621).
Anderson, T. (2011). Jisun Kim Tugrul Daim Identify time-lags from research to licensing (pp. 752–762). Presented at the PICMET, Portland: PICMET.
Leavengood, S. (Oregon S. U., & Anderson, T. R. (Portland S. U. (2011). Quality + innovation: Adapting quality management practices to achieve innovation performance. Engineered Wood Journal, 25–27.
Munkongsujarit, S., & Anderson, T. R. (2011). R & D Benchmarking Using Data Envelopment Analysis : The Case of Thailand Research Fund (pp. 2223–2231). Presented at the PICMET, Portland: PICMET.
Anderson, T. R., & Inman, L. (2011). Resolving the Issue of Multiple Optima in Technology Forecasting Using Data Envelopment Analysis 1 (pp. 385–389). Presented at the PICMET, Portland: PICMET.
Kim, J., Daim, T., & Anderson, T. (2010). A look into the future of wireless mobile communication technologies. Technology Analysis & Strategic Management, 22(8), 925–943. https://doi.org/10.1080/09537325.2010.520472
Lamb, A., Anderson, T. R. (Portland S. U., & Daim, T. (2010). Difficulties in R & D Target-Setting Addressed through Technology Forecasting Using Data Envelopment Analysis (pp. 1–9). Presented at the Phuket, PICMET.
Cowan, K., Daim, T., & Anderson, T. (2010). Exploring impact of technology development and adoption for sustainable hydroelectric power and storage technologies in the Pacific Northwest United States. Energy, 35(12), 4779–4771. https://doi.org/10.1016/j.energy.2010.09.013
Lamb, A.-M., Daim, T. U., & Anderson, T. R. (2010). Forecasting airplane technologies. Foresight, 12(6), 38–54. https://doi.org/10.1108/14636681011089970
Leavengood, S., & Anderson, T. R. (2009). Best practices in quality management for achieving quality and innovation performance (pp. 717–738). PICMET. https://doi.org/10.1109/PICMET.2009.5262063
Patanakul, P., Milosevic, D., & Anderson, T. (2008). A decision support model for project manager assignments. IEEE Transactions on Engineering Management, 54(3), 548–564.
Anderson, T. R., Daim, T. U., & Kim, J. (2008). Technology forecasting for wireless communication. Technovation, 28(9), 602–614.
Inman, O. L., Anderson, T. R., & Harmon, R. R. (2006). Predicting US jet fighter aircraft introductions from 1944 to 1982: A dogfight between regression and TFDEA. Technological Forecasting & Social Change, 73(9), 1178–1187.
Inman, L., Anderson, T. R., & Harmon, R. (2005). Improving time to market forecasts: a comparison of two technology forecasting techniques for predicting US fighter jet introductions from 1944 to 1982. In Technology Management: A Unifying Discipline for Melting the Boundaries (pp. 533–537). Portland: PICMET.
Anderson, T. R. (2004). Benchmarking in Sports: Bonds or Ruth: Determining the Most Dominant Baseball Batter Using DEA. Handbook on Data Envelopment Analysis, 443–454. Retrieved from http://stats.lib.pdx.edu/proxy.php?url=http://search.ebscohost.com/login.aspx?direct=true&db=ecn&AN=0815525&site=ehost-live
Anderson, T. R., & Rouse, P. (2003). Extending Productivity Research Frontiers: DEA Resource of Datasets and Errata. Journal of Productivity Analysis, 19(2-3), 271–275.
Anderson, T. R., Färe, R., Grosskopf, S., Inman, L., & Song, X. (2002). Further examination of Moore’s Law with data envelopment analysis. Technological Forecasting & Social Change, 69(5), 465–477.
Anderson, T. R., Hollingsworth, K., & Inman, L. (2002). The fixed weighting nature of a cross-evaluation model. Journal of Productivity Analysis, 17(3), 249–255. Retrieved from http://web.ebscohost.com/ehost/detail?vid=5&hid=120&sid=80d98260-b391-444f-9ee2-62ad1dc0fadb%40sessionmgr8&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d
Anderson, T. R., Uslu, A., & Hollingsworth, K. B. (1998). Revisiting extensions in efficiency measurement of alternate machine component grouping solutions via data envelopment analysis.
Anderson, T. R., & Sharp, G. P. (1997). A new measure of baseball batters using DEA. Annals of Operations Research, 73, 141–155.
Anderson, T. R., Sharp, G. P., Kocaoglu, D. F., Niwa, K., Milosevic, D., & Gregory, M. J. (1997). Data envelopment analysis with integral targets. PICMET.
Anderson, T. R., Uslu, A., Kocaoglu, D. F., Niwa, K., Milosevic, D., & Gregory, M. J. (1997). Selecting the “best” using data envelopment analysis. PICMET.
Hollingsworth, K. B., Walker, R., & Anderson, T. R. (1997). Using DEA in the examination of the retention of African American males. Challenge, 8(1), 17–25.
Anderson, T. R., Hollingsworth, K. B., & Durchholz, M. L. (1996). Estimates of the number of DMUs needed for DEA as a function of model size. Working Paper, 1–17.
Anderson, T. R. (1995). Modeling Considerations in Data Envelopment Analysis.