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G. Peter Zhang

Professor    
Education
  • Ph.D., Kent State University
  • M.S., East China Normal University
  • B.S., East China Normal University
Specializations
  • operations management
  • supply chain management
  • neural networks
Biography

G. Peter Zhang is a professor of operations management at Georgia State University’s Robinson College of Business. He is the operations management area coordinator and student advisor. His research interests include operations management, supply chain management, neural networks, and forecasting.

Dr. Zhang has served as an associate editor of IEEE Transactions on Neural Networks. Currently he is an associate editor of Decision Analytics, Decision Sciences, International Journal of Strategic Decision Sciences, and Neurocomputing, and is serving on the editorial review board of Production and Operations Management, International Journal of E-Business Research, and International Journal of Society Systems Science. His research has appeared in Decision Sciences, European Journal of Operational Research, IIE Transactions, IEEE Transactions on Engineering Management, IEEE Transactions on Neural Networks, International Journal of Forecasting, Neurocomputing, Production and Operations Management, and others.

Publications
  • Xia, Y., V. Singhal and G. P. Zhang, “Product Design Award and the Market Value of the Firm.” Production and Operations Management, 25 (6), 1038-1055, 2016.
  • Zhang, G. P., J. Yu, and Y. Xia, “The payback of innovation: empirical evidence from firms that have won innovation awards.” Production and Operations Management, 23 (8), 1401-1420, 2014.
  • Zhang, G. P. and Y. Xia, “Does Quality Still Pay? A Reexamination of the Relationship between Effective Quality Management and Firm Performance.” Production and Operations Management, 22 (1), 120-136, 2013.
  • Xia, Y. and G. P. Zhang, “The Impact of Online Channel on Retailer’s Performances.” Decision Sciences, 41 (3), 517-546, 2010.
  • Zhang, G. P., C. Hill, Y. Xia, and F. Liang, “Modeling the Relationship between EDI Implementation and Firm Performance Improvement with Neural Networks.” IEEE Transactions on Automation Science and Engineering, 7 (1), 96-110, 2010.
  • Zhang, G. P., “Avoiding Pitfalls in Neural Network Research,” IEEE Transactions on Systems, Man, and Cybernetics, 37, 3-16, 2007. (Lead Article).
  • Berardi, V. L. and G. P. Zhang, “An Empirical Investigation of Bias and Variance in Time Series Forecasting: Modeling Considerations and Error Evaluation,” IEEE Transactions on Neural Networks, 14 (3), 668-679, 2003.
  • Zhang, G. P., “Time Series Forecasting Using A Hybrid ARIMA and Neural Network Model,” Neurocomputing, 50, 159-175, 2003.
  • Zhang, G. P., “Neural Networks for Classification: A Survey,” IEEE Transactions on Systems, Man, and Cybernetics, 30 (4), 451-462, 2000.
  • Zhang, G., B. E. Patuwo and M. Y. Hu, “Forecasting with Artificial Neural Networks: The State of the Art,” International Journal of Forecasting, 14 (1), 35–62, 1998.