Faculty Directory

Stephen G. Powell

Professor of Business Administration

E-Mailstephen.g.powell@tuck.dartmouth.edu

Phone603-646-2844

DegreePhD, Stanford University, 1983; MS, Stanford University, 1976; AB, Oberlin College, 1971

AREAS OF EXPERTISEManagement science, operations management, business modeling and simulation

Current Research Topics

  • Application of management science modeling to business and public decision making
  • Design of production lines and business processes
  • Advertising and promotion strategies
  • Inventory policy
  • Natural resource modeling

Selected Publications

  • “How Novices Formulate Models Part II: A Quantitative Description of Behavior,” with Tom Willemain, Journal of the Operational Research Society, 58, 1271-1283, 2007.
  • "A Comparison of Spreadsheet Users with Different Levels of Experience," with Ken Baker, Barry Lawson, and Lynn Foster-Johnson, Omega 37 (2009), 579-590.
  • “A Critical Review of the Literature on Spreadsheet Errors,” Stephen G. Powell, Kenneth R. Baker, and Barry Lawson, Decision Support Systems, 46 (2008) 128–138.
  • “An Auditing Protocol for Spreadsheet Models,” Stephen G. Powell, Kenneth R. Baker, and Barry Lawson, Information and Management, 45(5) (2008) 312-320.
  • “Errors in Operational Spreadsheets,” Stephen G. Powell, Kenneth R. Baker, and Barry Lawson, Journal of End User and Organizational Computing, 21(3), 24-36, July-September 2009.
  • “Impacts of Errors in Operational Spreadsheets,” Stephen G. Powell, Kenneth R. Baker, and Barry Lawson, Decision Support Systems, 47(2), 2009, 126-132.
  • “Pricing Early-Exercise Options using Genetic Optimization,” Journal of Derivatives, Spring 2013, 43-59.
  • “A Comparison of Free Autologous Breast Reconstruction with and without the use of Laser-assisted Indocyanine Green Angiography: A Cost Effectiveness Analysis,” Abhishek Chatterjee, Naveen M. Krishnan, Micheael M. Van Vliet, Stephen G. Powell, Joseph M. Rosen, and Emily B. Ridgway, forthcoming, Plastic and Reconstructive Surgery, May 2013.
  • “A Comparison of Acellular Dermal Matrix to Autologous Dermal Flaps in Single-Stage, Implant-based Immediate Breast Reconstruction: A Cost Effectiveness Analysis,” Abhishek Chatterjee, M.D., Naveen M. Krishnan, Micheael M. Van Vliet, Stephen G. Powell, Joseph M. Rosen, and John F. Nigriny. Forthcoming, Plastic and Reconstructive Surgery, May 2013.
  • “The Cost Effectiveness of Acellular Dermal Matrix in Expander-Implant Immediate Breast Reconstruction,” Naveen M. Krishnan, Abhishek Chatterjee, K. M. Rosenkranz, Stephen G. Powell, J.F. Nigriny, and D. C. Vidal. British Journal of Plastic Surgery, forthcoming.

Working Papers

  • “Cost-Effectiveness Analysis of a New Tuberculosis Diagnostic Algorithm,” Elizabeth A. Talbot, Stephen G. Powell, Kenton Allen, Jaime Bayona, Lisa V. Adams, submitted to the International Journal of Tuberculosis and Lung Disease, October 5, 2012.
  • “How Precise are Estimates of the Minimally Important Clinical Difference?,” with Naveen Krishnan, submitted to Statistics in Medicine, January 11, 2014.
  • “The Performance of Novice Data Analysts on an Open-Ended Problem,” with Tom Willemain and Julie Layton, June 8, 2013.

Awards

  • Award for the Teaching of OR/MS Practice, Institute for Operations Research and Management Sciences (INFORMS), 2001

Professional Activities

Academic positions

  • Tuck School of Business, 1987–present
  • Faculty Affiliate, Glassmeyer/McNamee Center for Digital Strategies, Tuck School, 2001–present
  • Academic Director, INFORMS Workshop on Teaching of Management Science

Nonacademic positions

  • Senior Management Science Analyst, Merrill Lynch, 1986–87
  • Senior Operations Research Analyst, RCA, 1985–86
  • Senior Strategic Analyst, Wang Laboratories, 1983–85

Research & Teaching

Steve Powell teaches courses in management science, including the core Decision Science course, and electives in the Art of Modeling and Applications of Simulation. His research interests include modeling production lines and service sector business processes, as well as how novices formulate models and use models in decision making.