Advances in Business and Management Forecasting

by Kenneth D. Lawrence, Ronald K. Klimberg

Overview

Volume 12 presents studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting.

Product Details

ISBN-13:	9781787430709
Publisher:	Emerald Publishing Limited
Publication date:	11/09/2017
Series:	Advances in Business and Management Forecasting , #12
Pages:	224
Product dimensions:	5.98(w) x 9.02(h) x (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

List of Contributors ix

Editorial Board xiii

Part I Financial Applications

Competitive Set Forecasting in the Hotel Industry with an Application to Hotel Revenue Management John F. Kros Christopher M. Keller 3

Predicting High-Tech Stock Returns with Financial Performance Measures: Evidence from Taiwan Shaw K. Chen Chung-Jen Fu Yu-Lin Chang 15

Forecasting Informed Trading at Merger Announcements: The Use of Liquidity Trading Rebecca Abraham Charles Harrington 37

Using Data Envelopment Analysis (DEA) to Forecast Bank Performance Ronald K. Klimberg Kenneth D. Lawrence Tanya Lal 53

Part II Marketing and Demand Applications

Forecasting Demand Using Partially Accumulated Data Joanne S. Utley J. Gaylord May 65

Forecasting New Adoptions: A Comparative Evaluation of Three Techniques of Parameter Estimation Kenneth D. Lawrence Dinesh R. Pai Sheila M. Lawrence 81

The Use of a Flexible Diffusion Model for Forecasting National-Level Mobile Telephone and Internet Diffusion Kallol Bagchi Peeter Kirs Zaiyong Tang 93

Forecasting Household Response in Database Marketing: A Latent Trait Approach Eddie Rhee Gary J. Russell 109

Part III Forecasting Methods and Evaluation

A New Basis for Measuring and Evaluating Forecasting Models Frenck Waage 135

Forecasting Using Internal Markets, Delphi, and Other Approaches: The Knowledge Distribution Grid Daniel E. O'Leary 157

The Effect of Correlation Between Demands on Hierarchical Forecasting Huijing Chen John E. Boylan 173

Part IV Other Application Areas of Forecasting

Econometric Count Data Forecasting and Data Mining (Cluster Analysis) Applied to Stochastic Demand in Truckload Routing Virginia M. Miori191

Two-Attribute Warranty Polices Under Consumer Preferences of Usage and Claims Execution Amitava Mitra Jayprakash G. Patankar 217

A Dual Transportation Problem Analysis for Facility Expansion/Contraction Decisions: A Tutorial N. K. Kwak Chang Won Lee 237

Make-to-Order Product Demand Forecasting: Exponential Smoothing Models with Neural Network Correction Mark T. Leung Rolando Quintana An-Sing Chen 249

Editorial Reviews

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

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 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