|
|
|
|
John F. Affisco, Ph.D. Frank G. Zarb School of Business acsjfa@hofstra.edu |
|
|
Dr. John F. Affisco is Professor of Business Computer Information Systems and Quantitative Methods at the Frank G. Zarb School of Business, and is serving his second term as Chairperson of the Zarb School's BCIS/QM Department. He earned a B.E. in chemical engineering at Pratt Institute, a M.B.A. at Bernard M. Baruch College of the City University of New York, and a M.Phil. and Ph.D. with a specialization in management planning systems from the City University of New York Graduate School. Professor Affisco, under the auspices of the AACSB, studied Information Systems at the University of Minnesota and the University of Baltimore. Professor Affisco is certified in production and inventory management by the American Production and Inventory Control society. He has also been elected to Sigma Iota Epsilon, the national honorary management fraternity, and is a faculty inductee to Beta Gamma Sigma. Dr. Affisco's professional interests include total quality management, group support systems, the Java language, e-commerce, environmental management, and modeling of production systems. He is an innovator in the use of management simulation gaming in the study of decision support systems, multicriteria decision-making, and group decision processes. His work has appeared in a variety of academic and professional journals including The International Journal of Production Research, European Journal of Operational Research, Simulation and Gaming, Information and Management, and the International Journal of Quality Science, among others. Dr. Affisco has also contributed chapters to The Handbook of Total Quality Management, The Handbook of Environmentally Conscious Manufacturing, and Management of New Technologies for Global Competitiveness. Dr. Affisco is also an Associate Editor of Simulation and Gaming: An Interdisciplinary Journal of Theory, Design and Research. Dr. Affisco won the 1995 P-W Industries Award for
Curriculum Enhancement in the Decision Sciences, for his work on environmental
issues in operations management. He has a growing interest in Web Development
and the Java programming language, and experiential approaches to the
study of statistics.
|
|