Advances in Business and Management Forecasting

Editorial Objectives

Advances in Business and Management Forecasting 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 forecasting methodologies to such areas as sales, marketing, and strategic decision making.  It is the hope and direction of the research annual to become an applications and practitioner-oriented publication.

Topicality

The topics will normally include sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, forecasting for strategic business decisions, improvements in forecasting accuracy, and sales response models.

It is both the hope and direction of the editorial board to stimulate the interest of the practitioners of forecasting to methods and techniques that are relevant.

Key Benefits

Advances in Business and Management Forecasting is critical reading for those academics, researchers, and practitioners of forecasting who use accurate and robust forecasting in order to make effective decisions. 

Key Advances

It encourages academics, researchers and practitioners of forecasting to share their state-of-the-art forecasting methodologies and case studies.  This interaction will help improve the practice of forecasting.

Coverage

The series is directed toward forecasting studies, whether applications or methodology oriented.  The coverage includes, but is not restricted to:

• Financial applications
• Marketing demand applications
• Forecasting methodologies
• Forecasting evaluation
• New product forecasting
• Judgment based forecasting
• Sales response models
• Improvement in forecasting accuracy

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

Ronald (Ron) K. Klimberg, Ph.D. is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph's University, USA. Professor Klimberg received his B.S. in Information Systems from the University of Maryland, his M.S. in Operations Research from George Washington University, and his Ph.D. in Systems Analysis and Economics for Public Decision-Making from the Johns Hopkins University. Before joining the faculty of Saint Joseph's University in 1997, he was a professor at Boston University (10 years), an operations research analyst for the Food and Drug Administration (FDA) (10 years) and a consultant (7 years). Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research.

The Editorial Advisory Board

• Patrick Hester, Old Dominion University, USA
• 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
• John J. Kros, East Carolina University, USA
• William Stewart, College of William and Mary, USA
• Stephen Kudyba, New Jersey Institute of Technology, USA
• Frenck Waage, University of Massachusetts, USA
• Sheila M. Lawrence, Rutgers University, USA
• David Whitlark, Brigham Young University, USA

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