Advances in Business and Management Forecasting

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

Overview

Volume 14, 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 in such areas as financial forecasting, market demand analysis, executive compensation forecasting, data analysis, forecasting improvement with interpolation and cluster analysis.

This is a key text for academics and researchers of financial forecasting, market demand forecasting and executive compensation forecasting.

Product Details

ISBN-13:	9781839820915
Publisher:	Emerald Publishing Limited
Publication date:	09/01/2021
Series:	Advances in Business and Management Forecasting , #14
Pages:	184
Product dimensions:	5.98(w) x 9.02(h) x 0.58(d)

About the Author

Kenneth D. Lawrence is a Professor Management Science and Business Analytics at the Tuchman School of Management at the New Jersey Institute of Technology.  


Ronald K. Klimberg is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph's University.

Table of Contents

A. Forecasting Methods and Applications I;
Chapter 1. The Predictive Power of Investor Sentiment on U.S. Equity Market Performance; Matthew Steves, Son Nguyen, John Quinn, and Alan Olinsky;
Chapter 2. A Regression Model to Forecast the Compensation of Top Level Executives at MetLife; Kenneth D. Lawrence and Sheila M. Lawrence;
Chapter 3. Forecasting Seasonal Products: A Case of Ice Cream Sales; Divyanshi Trakran;
Chapter 4. Predicting the Length of Stay in Hospital Emergency Rooms in Rhode Island; Alicia Lamere, Son Nguyen, Gao Niu, Alan Olinsky, and John Quinn;
B. Forecasting Methods and Applications II;
Chapter 5. Effects of Resampling Techniques on Imbalanced Data Classification: A New Under-Resampling Method; Son Nguyen, Phyllis Schumacher, Alan Olinsky, and John Quinn;
Chapter 6. Development of a Method to Improve Statistical Forecasts using Interpolation and Cluster Analysis; Ronald K. Klimberg and Samuel Ratick;
Chapter 7. Performance Measures of Products with Multiple Characteristics Utilizing Unit Costs of Nonconformance; Amitava Mitra;
Chapter 8. Competing Forecasting Techniques Produces Different Optimal Solutions Based on the Product; John L. Stanton and Stephen L. Baglione;
C. Covid-19 Trend Analysis;
Chapter 9. Exploring the Trend of COVID-19 Treatment Efficiency in Chinese Provinces in 2020 by using DEA and Regression Analysis; Feng Yang, Zhen Bi, Fangqing Wei, and Zhimin Huang;
Chapter 10. The Impact of International Price on the Technological Industry in the USA and China During Times of Crisis: Commercial War and COVID-19; Lisset-Vanesa Apcho-Ccencho, Berdy-Briggitte Cuya-Velásquez, Diego Alvarado Rodríguez, María de las Mercedes Anderson-Seminario, Aldo Alvarez-Risco, Alfredo Estrada-Merino, and Sabina Mlodzianowska;
Chapter 11. Price Variation in Lower Goods as of Previous Economic Crisis and the Contrast of the Current Price Situation in the Context of COVID-19 in Peru; María-Alejandra Leiva-Martinez, María de las Mercedes Anderson-Seminario, Aldo Alvarez-Risco, Alfredo Estrada-Merino, and Sabina Mlodzianowska

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 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

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 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