Advances in Business and Management Forecasting / Edition 1

by Kenneth D. Lawrence, Michael D. Geurts

Overview

"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. (An accurate, robust forecast is critical to effective decision making.) It is the hope and direction of the research annual to become an applications- and practitioner-oriented publication. 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.

Product Details

ISBN-13:	9780762312818
Publisher:	Emerald Group Publishing Limited
Publication date:	02/17/2006
Series:	Advances in Business and Management Forecasting , #4
Pages:	300
Product dimensions:	6.14(w) x 9.21(h) x 0.67(d)

About the Author

Kenneth D. Lawrence is a Professor of Management Science and Business Analytics at the Tuchman School of Management at the New Jersey Institute of Technology. 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. His professional experience is reflected in his research which has been cited in 267 journals, including: Computers and Operations Research, International Journal of Forecasting and the Journal of Marketing. 
Ronald Klimberg is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph's University. He 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. Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research. His research has been focused in the areas of efficiency analysis, forecasting, location, multiple criteria problems and visualizations.

Table of Contents

Forecasting and the Supply Chain. Forecasting in Supply Chain Management. (K.D. Lawrence, S.M. Lawrence, R. Klimberg). Extracting Forecasts from Advance Orders. (F. Waage). Inventory Shipment Ratio Time Series Models for Durable and Non-Durable Products. (S. Mitra). Forecasting and Financial Applications. An Application of Confirmatory Factor Analysis to the A Priori Classification of Financial Ratios. (S.K. Chen, A.D. Olinsky). Bank Rating Change Predictions Alternative Forecasting Models. (D.T. Cadden, V. Driscoll). Forecasting Security Returns: The Use of Heterogeneous Expectations. (R. Abraham, C.W. Harrington). Sales Forecasting. Combining Moving Averages with Exponential Smoothing to Produce More Stable Sales Forecasts. (T.S. Dhakar, C.P. Schmidt, D.M. Miller). Improved Exponential Smoothing with Applications to Sales Forecasting. (T.S Dhakar, C.P. Schmidt, D.M. Miller). Using Flow through and Diffusion Models to Forecast New Product Sales. (M.D. Geurts, D. Whitlark). An Application of a Repeat Purchase Diffusion Model to the Pharmaceutical Industry. (F.J. Carter et al.). Forecasting Product Sales with Conjoint Analysis Data.(D. Whitlark). Improving Sales Forecasts by Testing Underlying Hypotheses about Consumer Behavior: A Proposed Qualitative Method. (E.D DeRosia, G.L. Christenson, D.B. Whitlark). Forecasting Methods and Analysis. Forecasting Sales of Comparable Units with Data Envelopment Analysis. (R. Klimberg, K.D. Lawrence, S.M. Lawrence). Data Mining Reliability: Model-Building with MARS and Neural Networks. (R.J. Lierano, E.S. Kyper). Selecting Forecasting Intervals to Increase Usefulness and Accuracy. (M.D. Geurts). Forecasting Simultaneous Brand Life Cycle Trajectories. (F. Waage). A Typology of Psychological Biases in Forecasting Analysis. (P. Dishnum). A Forecast Combination Methodology for Demand Forecasting. (J.G. May, J.M. Sulek).

Editorial Reviews

Business scholars present recent findings on the forecasting of marketing, sales, and service; economic, financial, and insurance forecasting; and forecasting CEO compensation and operations. Specific topics include exploring the suitability of support vector regression and radial basis function approximation to forecast sales of Fortune 500 companies, service contracts for delays in delivery, detecting non-injured passengers and drivers in car accidents: a new under-resampling method for imbalanced classification, regression modeling based on a peer group for the executive compensation of AT&T CEO, and an agent-based queuing model for call center forecasting and management optimization.

Annotation ©2019

Lawrence and Klimberg present essays from 28 expert contributors in this volume, which covers technology, economics, finance, and forecasting accuracy in state-of-the-art studies. Twelve chapters are divided into four parts: forecasting in marketing and sales; forecasting in health care; forecasting in business and economics; topics in forecasting.

Annotation

Business scholars discuss forecasting applications; predictive analytics, regression analysis, and clustering in forecasting; and time series, intermittent data, and supply chain applications. Among the topics are the effect of releasing information on searching for missing children: the case of the Baby Back Home network, forecasting treatment outcomes for the Futures drug and alcohol rehabilitation center, a novel approach to forecasting regression and cluster analysis, developing a practical and effective forecasting performance measure, and forecasting in-service supply chain systems: a state-of-the-art review using latent semantic analysis.

Annotation ©2017

Business scholars discuss forecasting applications; predictive analytics, regression analysis, and clustering in forecasting; and time series, intermittent data, and supply chain applications. Among the topics are the effect of releasing information on searching for missing children: the case of the Baby Back Home network, forecasting treatment outcomes for the Futures drug and alcohol rehabilitation center, a novel approach to forecasting regression and cluster analysis, developing a practical and effective forecasting performance measure, and forecasting in-service supply chain systems: a state-of-the-art review using latent semantic analysis.

Annotation ©2017

Business scholars present recent findings on the forecasting of marketing, sales, and service; economic, financial, and insurance forecasting; and forecasting CEO compensation and operations. Specific topics include exploring the suitability of support vector regression and radial basis function approximation to forecast sales of Fortune 500 companies, service contracts for delays in delivery, detecting non-injured passengers and drivers in car accidents: a new under-resampling method for imbalanced classification, regression modeling based on a peer group for the executive compensation of AT&T CEO, and an agent-based queuing model for call center forecasting and management optimization.

Annotation ©2019