Advances in Business and Management Forecasting

by Kenneth D. Lawrence (Editor), Ronald K. Klimberg (Editor)

Overview

Volume 13, Advances in Business and Management Forecasting, is a blind refereed serial publication. It presents state-of-the-art studies in the application of forecasting methodologies to such areas as sales forecasting, retailing, service contracts, bankruptcy prediction, executive compensation, and call center staffing. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting. 

Volume 13 is divided into three sections: Marketing, Sales and Service Forecasting; Economic, Financial and Insurance Forecasting; and, CEO Compensation and Operations Forecasting. An interdisciplinary group of experts explore wide-ranging topics including omnichannel retailing, growth business cycles, under-resampling methods to detect non-injured passengers within car accidents and regression modeling of CEO compensation.

Product Details

ISBN-13:	9781787542907
Publisher:	Emerald Publishing Limited
Publication date:	09/06/2019
Series:	Advances in Business and Management Forecasting , #13
Pages:	152
Product dimensions:	5.98(w) x 9.02(h) x 0.54(d)

About the Author

Edited by Kenneth D. Lawrence, New Jersey Institute of Technology, Newark, NJ, USA Ronald K. Klimberg, Saint Joseph’s University, Philadelphia, PA, USA

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 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

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