Applications of Management Science

ISSN: 0276-8976

Editor: Professor Kenneth D. Lawrence
Subject: Management Science / Management Studies (view other series in this subject area)
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Also available in our: Emerald Business, Management and Economics eBook Series Collection
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New Titles

Volume 15

Volume 15 examines management science application to data envelopment analysis and efficiency, supply chain and quality applications, and multi-criteria and financial applications.

Section A focuses on DEA to team performance, public higher education systems, US airlines and Indian commercial banks. Section B focuses on cooperative public service advertising, supply chain strategies, optimal management of reverse supply chain and optimal response to multi-response models. Section C explores multi-criteria measures of public and private enterprises, two-dimensional warranty policy decision making, and creating teams. Section D focuses on financial applications, direct foreign investments, conditional values of risk in portfolio models, and asset allocations of mutual funds.

For more details about volume 15 of Applications of Management Science, browse the Table of Contents.

Buy any of the books in the Applications of Management Science series.

Editorial Objectives

Applications of Management Science is a blind refereed serial publication published on an annual basis.

The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision making problems. It is hoped that this research annual will significantly aid in the dissemination of actual applications of management science in both the public and private sectors.

Topicality

The topics will normally include applied management science studies in finance, management, operations, supply chain and productivity.

It is both the hope and reaction of the editorial board to stimulate the interest of practitioners to the solution of significant managerial decision making problems.

Key Benefits

Applications of Management Science is critical reading for those academics, researchers, and practitioners of management science to the solution of significant managerial decision making problems in both the public and the private sectors.

Key Advances

It encourages academics, researchers and practitioners of management science to present state-of-the-art studies to the solution of significant managerial decision making problems.

Coverage

The series is directed toward the application of management science to the solution of significant managerial decision problems. The coverage includes, but is not restricted to:

Multi-criteria decision making
Productivity management
Financial managemenOperations management
Supply chain management
Engineering management
Networks

The Editors

Dr. Lawrence is a Professor of Management Science in the School of Management at the New Jersey Institute of Technology. His 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. He 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

Professor Lawrence’s research is in the areas of applied management science, data mining, forecasting, and multi-criteria decision-making. His current research works include multi-criteria mathematical programming models for productivity analysis, discriminant analysis, portfolio modeling, and supply chain modeling. His research work has been cited over 700 times in over 150 journals, including: Computers and Operations Research, International Journal of Forecasting, Journal of Marketing, Sloan Management Review, Management Science, and Technometrics. He has 300 publications in 26 journals including: European Journal of Operational Research, Computers and Operations Research, Operational Research Quarterly, International Journal of Forecasting and Technometrics. He is, also, Associated Editor of the Review of Quantitative Finance and Accounting, as well as Associate Editor of the Journal of Statistical Computation and Simulation

Dr Gary Kleinman earned his Ph.D. in Management, with a concentration in Accounting, from Rutgers University's Graduate School-Newark.

Dr. Kleinman is an Associate Professor of Accounting in the School of Business at Montclair State University in Montclair, NJ. For the last 5 years, and ongoing, Dr. Kleinman has served as the PricewaterhouseCoopers Professor of Forensic Accounting for the Rutgers University Business School, a part-time position.

He has taught forensic accounting, a wide variety of auditing courses, financial accounting and cost accounting for over twenty years. Dr. Kleinman is a CPA – Colorado and he is the co-author of a very highly praised book entitled Understanding Auditor-Client Relationships: A Multi-faceted Analysis (Markus Weiner, Inc.). Reviewer praise included calling it a "major contribution" to the literature.

The Editorial Advisory Board

John Guerard, Anchorage, Alaska
Virginia Miori, Saint Joseph’s University, USA
Zhimin Huang, Adelphi University, USA
Daniel O’Leary, University of Southern California, USA
Douglas Jones, Rutgers University, USA
Dinesh R. Pai, The Pennsylvania State University, USA
Ronald Klimberg, Saint Joseph's University, USA
Ramesh Sharda, Oklahoma State University, USA
Stephen Kudyba, New Jersey Institute of Technology, USA
Ralph Steuer, University of Georgia, USA
Sheila M. Lawrence, Rutgers University, USA
William Stewart, College of William and Mary, USA

Contact the Editorial Team

Series Editors:
Professor Kenneth D. Lawrence
New Jersey Institute of Technology, USA
carpetfour@yahoo.com

Dr Gary Kleinman
School of Business, Montclair State University, USA
kleinmang@mail.montclair.edu

Publisher:
Juliet Harrison
jharrison@emeraldinsight.com

Volumes within this series

Online access:

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