Faculty & Staff Directory


Dr. Pinder's research has been published in Decision Sciences, the Journal of Operations Management, the Journal of Forecasting, the Journal of Economics and Business, Managerial and Decision Economics, the Journal of the Operational Research Society, Decision Sciences Journal of Innovative Education, and Decision Economics, among others. Dr. Pinder has received numerous teaching awards. He is a member of the Decision Sciences Institute and the Institute for Operations Research and Management Science.

Business Analytics; Demand Forecasting; Stochastic Optimization, Agent-Based Modeling, MicroSoft Excel;

  • Ph D, University of North Carolina at Chapel Hill (Business Administration) - 1988
  • BS, North Carolina State University (Civil Engineering) - 1982

Research Interests

  • Stochastic Optimization
  • Agent-Based Modeling
  • Revenue Management
  • Project Management
  • Nonlinear Dynamical Systems, Nonlinear Regression

Teaching Interests

  • Business Analytics
  • Quantitative Methods
  • Statistical Analysis for Stochastic Optimization
  • Forecasting
  • Simulation
  • Agent-Based Modeling

  • Pinder, J. P. (Forthcoming). A Demonstration of Regression False Positive Selection in Data Mining. Decision Sciences Journal of Innovative Education/Decision Sciences Institute.
  • Pinder, J. P. (2016). Introduction to Business Analytics Using Simulation Models. Academic Press.
  • Pinder, J. P. (2015). Introduction to Business Analytics Using Simulation Models. CreateSpace.
  • Pinder, J. P. (2015). Introduction to Business Analytics: Data Driven Decision Making. Cafe Press.
  • Pinder, J. P. (2014). Introduction to Business Analytics for MBAs: Data Driven Decision Making. Cafe Press.
  • Pinder, J. P. (2014). Introduction to Business Analytics: Data Driven Decision Making. Cafe Press.
  • Pinder, J. P. (2013). An Active Learning Exercise for Introducing Agent-Based Modeling. Decision Sciences Journal of Innovative Education,
  • Pinder, J. P. (2013). An Excel Solver Exercise to Introduce Nonlinear Regression. Decision Sciences Institute,
  • Pinder, J. P. (2013). An Excel Solver Exercise to Introduce Nonlinear Regression. Decision Sciences Journal of Innovative Education, 11 (3), 221-232. | more information
  • Pinder, J. P. (2013). An Active Learning Exercise for Introducing Agent-Based Modeling. Decision Sciences Journal of Innovative Education, 11 (3), 263-278. | more information
  • Pinder, J. P. (2012). Introduction to Business Analytics: Data Driven Decision Making. Cafe Press.
  • Pinder, J. P. (2011). Elementary Stochastic Optimization: Data Driven Decision Making. Cafe Press.
  • Pinder, J. P. (2005). Using Revenue Management To Improve Pricing and Capacity Management In Programme Management. Journal of the Operational Research Society, 56 (1), 75-87.
  • Shoesmith, G. L. , &  Pinder, J. P. (2001). Potential Inventory Cost Reductions Using Advanced Time Series Forecasting Techniques. Journal of the Operational Research Society, 52 (11), 1267-1275.
  • Pinder, J. P. , &  Marucheck, A. S. (1996). Using Discounted Cash Flow Heuristics To Improve Project Net Present Value. Journal of Operations Management, 14 (3), 229-240.
  • Pinder, J. P. (1996). Decision Analysis Using Multinomial Logit Models: Mortgage Portfolio Valuation. Journal of Economics and Business, 48 (1), 67-77.
  • Pinder, J. P. (1996). Nonlinear Dynamical Systems and Inventory Management. Managerial and Decision Economics, 17 (1), 27-43.
  • Harris, F. H. , &  Pinder, J. P. (1995). A Revenue Management Approach To Demand Management And Order Booking In Assemble-To-Order Manufacturing. Journal of Operations Management, 13 (4), 299-309.
  • Pinder, J. P. (1995). An Approximation of a Markovian Decision Process to Determine Resource Planning Policies. Journal of the Operational Research Society, 46 (7), 819-830.
  • Shoesmith, G. L. , &  Pinder, J. P. (1995). Modeling Multivariate Cointegrated Systems; Insights From Nonlinear Dynamics. Journal of Forecasting, 14 (3), 311-324.
  • Pinder, J. P. (1994). Testing For Nonlinear Dependence in Inventory Data. Decision Sciences, 25 (3), 427-443.

  • 2017 - Most Promising New Textbook Award, Textbook & Academic Authors Association (TAA)
  • 2016 - Outstanding Educator, School of Management
  • 2015 - Outstanding Educator, School of Management
  • 2014 - Kienzle Teaching Award, School of Management
  • 2013 - Outstanding Educator, Schools of Management
  • 2012 - Kienzle Teaching Award, Schools of Management
  • 2011 - Kienzle Teaching Award, Schools of Management
  • 2010 - Outstanding Educator, Schools of Management
  • 2009 - Outstanding Educator, Schools of Management
  • 2008 - Outstanding Educator, Babcock Graduate School of Management
  • 2007 - Medlin Excellence Fellowship, Babcock Graduate School/John Medlin
  • 2006 - Medlin Excellence Fellowship, Babcock Graduate School/John Medlin
  • 2005 - Medlin Excellence Fellowship, Babcock Graduate School/John Medlin
  • 2005 - Kienzle Teaching Award, Babcock Graduate School of Management
  • 2002 - Kienzle Teaching Award, Babcock Graduate School of Management
  • 1999 - Outstanding Educator, Babcock Graduate School of Management
  • 1995 - Sara Lee Excellence Award, Babcock Graduate School/Sara Lee Corporation