Prelims
Advances in Business and Management Forecasting
ISBN: 978-1-78754-290-7, eISBN: 978-1-78754-289-1
ISSN: 1477-4070
Publication date: 6 September 2019
Citation
(2019), "Prelims", Advances in Business and Management Forecasting (Advances in Business and Management Forecasting, Vol. 13), Emerald Publishing Limited, Leeds, pp. i-ix. https://doi.org/10.1108/S1477-407020190000013002
Publisher
:Emerald Publishing Limited
Copyright © 2019 Emerald Publishing Limited
Half Title Page
ADVANCES IN BUSINESS AND MANAGEMENT FORECASTING
Series Page
ADVANCES IN BUSINESS AND MANAGEMENT FORECASTING
Series Editors: Kenneth D. Lawrence and Ronald K. Klimberg
Recent Volumes:
Volume 1: | Advances in Business and Management Forecasting: Forecasting Sales |
Volume 2: | Advances in Business and Management Forecasting |
Volume 3: | Advances in Business and Management Forecasting |
Volume 4: | Advances in Business and Management Forecasting |
Volume 5: | Advances in Business and Management Forecasting |
Volume 6: | Advances in Business and Management Forecasting |
Volume 7: | Advances in Business and Management Forecasting |
Volume 8: | Advances in Business and Management Forecasting |
Volume 9: | Advances in Business and Management Forecasting |
Volume 10: | Advances in Business and Management Forecasting |
Volume 11: | Advances in Business and Management Forecasting |
Volume 12: | Advances in Business and Management Forecasting |
Title Page
ADVANCES IN BUSINESS AND MANAGEMENT FORECASTING
ADVANCES IN BUSINESS AND MANAGEMENT FORECASTING
EDITED BY
KENNETH D. LAWRENCE
New Jersey Institute of Technology, Newark, NJ, USA
RONALD K. KLIMBERG
Saint Joseph’s University, Philadelphia, PA, USA
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
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First edition 2019
Copyright © 2019 Emerald Publishing Limited
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British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
ISBN: 978-1-78754-290-7 (Print)
ISBN: 978-1-78754-289-1 (Online)
ISBN: 978-1-78754-291-4 (Epub)
ISSN: 1477-4070 (Series)
List of Contributors
James Bishop | Amica Insurance, USA |
Vivian M. Evangelista | Saint Joseph’s University, USA |
Edward Golas | Bryant University, USA |
Zhimin Huang | Adelphi University, USA |
Christopher Keller | East Carolina University, USA |
Kristin Kennedy | Bryant University, USA |
James Kleckley | East Carolina University, USA |
Ronald K. Klimberg | Saint Joseph’s University, USA |
Kenneth D. Lawrence | New Jersey Institute of Technology, USA |
Sheila M. Lawrence | Rutgers, The State University of New Jersey, USA |
Xue Li | University of Science and Technology of China, China |
Amitava Mitra | Auburn University, USA |
Son Nguyen | Bryant University, USA |
Gao Niu | Bryant University, USA |
Alan Olinsky | Bryant University, USA |
Jonathan Ormsbee | Bryant University, USA |
Dinesh R. Pai | The Pennsylvania State University, USA |
John Quinn | Bryant University, USA |
Rommel G. Regis | Saint Joseph’s University, USA |
Richard M. Smith | Bryant University, USA |
Jeyaraj Vadiveloo | University of Connecticut, USA |
Mengnong Xu | Travelers Insurance, USA |
Feng Yang | University of Science and Technology of China, China |
William Zywiak | Bryant University, USA |
Editorial Advisory Board
EDITORS-IN-CHIEF
Kenneth D. Lawrence
New Jersey Institute of Technology
Ronald K. Klimberg
Saint Joseph’s University
SENIOR EDITORS
Patrick Hester
Old Dominion University
Virginia Miori
Saint Joseph’s University
Zhimin Huang
Adelphi University
Daniel O’Leary
University of Southern California
Douglas Jones
Rutgers University
Dinesh R. Pai
The Pennsylvania State University
John J. Kros
East Carolina University
William Steward
College of William and Mary
Stephen Kudbya
New Jersey Institute of Technology
Frenck Waage
University of Massachusetts
Sheila M. Lawrence
Rutgers, The State University of New Jersey
David J. Weiss
Rutgers, The State University of New Jersey
- Prelims
- Section A Marketing, Sales, and Service Forecasting
- Exploring the Suitability of Support Vector Regression and Radial Basis Function Approximation to Forecast Sales of Fortune 500 Companies
- Buy-online-and-pick-up-in-store Strategy and Showroom Strategy in the Omnichannel Retailing
- Service Contracts for Delays in Delivery
- 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
- Dimension Reduction in Bankruptcy Prediction: A Case Study of North American Companies
- Detecting Non-injured Passengers and Drivers in Car Accidents: A New Under-resampling Method for Imbalanced Classification
- Section C CEO Compensation and Operations Forecasting
- Regression Modeling of the Peer Group of Verizon Corporation for the CEO of Verizon
- Regression Modeling Based on a Peer Group for the Executive Compensation of AT&T CEO
- Agent-based Queuing Model for Call Center Forecasting and Management Optimization
- Index