Dr. Lawrence’s professional employment includes over 20 years of technical management experience with AT&T as Director, Decision Support Systems and Marketing Demand Analysis, Hoffmann-La Roche, Inc., Prudential Insurance, and the U. S. Army in forecasting, marketing planning and research, statistical analysis and operations research. Dr. Lawrence is a full member of the Graduate Doctoral Faculty of Management at Rutgers, The State University of New Jersey in the Department of Management Science and Information Systems and a Research Fellow in the Center for Supply Chain Management in the Rutgers Business School.
Dr. Lawrence’s research is in the areas of applied management science, data mining, forecasting, multi-criteria decision-making, productivity analysis and supply chain modeling. He is a full member of the Graduate Doctoral Faculty of Management at Rutgers. Dr. Lawrence’s research work has been cited in 107 journals, including: Computers and Operations Research, International Journal of Forecasting, Journal of Marketing, Sloan Management Review, Management Science, and Technometrics. He has 290 publications, and his articles have appeared in 26 journals including: European Journal of Operational Research, Computers and Operations Research, Operational Research Quarterly, International Journal of Forecasting and Technometrics. He is the lead author in the text Fundamentals of Forecasting Using Excel, published by the Industrial Press in 2009.
• University of Delaware, B. S., 1969 • West Virginia University, M. S., 1970 • Pennsylvania State University, M. B. A., 1972 • Rutgers University, M. S., 1974 • Rutgers University, Ed. D., 1979 • Rochester Institute of Technology, M. S., 1979 • Manhattan College, M. B. A., 1983
Honors & Awards
• 1989 recipient of the Institute of Industrial Engineers Award for significant accomplishments in the theory and applications of operations research.• Recognized in the February 1993 issues of the Journal of Marketing for his significant contribution in developing a method of guessing in the no data case, for diffusion of new products, for forecasting the timing and the magnitude of the peak in the adaption rate.• Member of the honorary societies Alpha Iota Delta (Decision Sciences Institute) and Beta Gamma Sigma (Schools of Management).• 2002 recipient of the Bright Ideas Award in the New Jersey Policy Research Organization and the New Jersey Business and Industry Associates for his work in Auditing for his use of a Goal Programming Model to Improve the Efficiency of Audit Sampling.
• MGMT 630, Decision Analysis • MGMT 635, Data Mining and Analysis for Managers • MGMT 660, Managing Supply and Value Chains • MIS 648, Decision Support Systems for Managers • MIS 680, Managerial Science • MRKT 631, Marketing Research • MRKT 753, Marketing Science • OM 375, Management Science
• Applied Operations Research/Management Science • Forecasting and Time Series • New Product Modeling • Productivity Analysis/DEA • Marketing Science/Marketing Research • Decision Support • Data Mining