Advances in business and management forecasting. 13 / edited by Kenneth D. Lawrence and Ronald K. Klimberg.

Format:

Book

Contributor:

Lawrence, Kenneth D., editor.

Klimberg, Ronald K., editor.

Series:

Advances in business and management forecasting ; 1477-4070 v.13.

Advances in business and management forecasting, 1477-4070 ; volume 13

Language:

English

Subjects (All):

Business forecasting.

Physical Description:

1 online resource (153 pages)

Edition:

1st ed.

Place of Publication:

Bingley, England : Emerald Publishing, [2019]

Summary:

Volume 13 of Advances in Business and Management Forecastingpresents state-of-the-art studies in the application of forecasting methodologies to areas such as sales forecasting, retailing, service contracts, bankruptcy prediction, executive compensation, and call center staffing.

Contents:

Front Cover

Advances in Business and Management Forecasting

Copyright Page

Contents

List of Contributors

Editorial Advisory Board

Section A. Marketing, Sales, and Service Forecasting

Exploring the Suitability of Support Vector Regression and Radial Basis Function Approximation to Forecast Sales of Fortune...

Introduction

Review of Literature

Some Machine Learning Methods for Forecasting

Support Vector Regression

Radial Basis Function Interpolation

Seasonal Adjustment

Computational Results

Experimental Setup

Effect of Seasonal Adjustment on the Performance of Sales Forecasting Methods

Comparison of Performance of Sales Forecasting Methods

Summary and Conclusion

References

Buy-online-and-pick-up-in-store Strategy and Showroom Strategy in the Omnichannel Retailing

Literature Review

Basic Model

Showroom Strategy

Conclusion

Acknowledgments

Appendix

Service Contracts for Delays in Delivery

Model Development

Product Value Distribution

Price Function

Delivery Time

Loss Function for Not Meeting Due Dates

Optimal Price

Uniform Distribution for Delivery Time

Truncated Exponential Distribution for Delivery Time

Results

Section B. Economic, Financial, and Insurance Forecasting

Growth, Business Cycles, and the Great Recession: Comparing State and County Unemployment Costs Per Capita for North Carolina

The Data

Growth over Time

Modeling Residuals

Great Recession

Integrative Model

Individual County Integrative Models

Discussion

Dimension Reduction in Bankruptcy Prediction: A Case Study of North American Companies

Dimension Reduction Techniques

Experiment Setup.

Evaluation Metrics

Model Performances

Dimension Estimation

Detecting Non-injured Passengers and Drivers in Car Accidents: A New Under-resampling Method for Imbalanced Classification

Data

Method

Decision Tree

Random Forest

Logistic Regression

K-Nearest Neighbor (KNN)

Support Vector Machine (SVM)

AdaBoost

Resampling Method

Selective Under-resampling (SUR)

Section C. CEO Compensation and Operations Forecasting

Regression Modeling of the Peer Group of Verizon Corporation for the CEO of Verizon

CEO Compensation

Regression Modeling of the CEO Compensation of Verizon

Evaluating a Corporation's Performance

Peer Groups

Regression Modeling Process for the Verizon CEO's Compensation

Regression Modeling Based on a Peer Group for the Executive Compensation of AT&amp

T CEO

Peer Group Regression Modeling of the CEO Compensation at AT&amp

T

Regression Modeling Process

Clustering Analysis

Results of the Analysis

Agent-based Queuing Model for Call Center Forecasting and Management Optimization

Model Formulation

Required Input Data

Modeling Programing Functions

Modeling Working Variables in Program

Model Construction

Forecasting and Optimization

Forecasting

Optimization Criteria

Bisection Method

Stepwise Method

Index.

Notes:

Includes index.

Print version record.

ISBN:

9781787542914

1787542912

9781787542891

1787542890