Prelims
Advances in Business and Management Forecasting
ISBN: 978-1-78743-070-9, eISBN: 978-1-78743-069-3
ISSN: 1477-4070
Publication date: 26 October 2017
Citation
(2017), "Prelims", Advances in Business and Management Forecasting (Advances in Business and Management Forecasting, Vol. 12), Emerald Publishing Limited, Leeds, pp. i-ix. https://doi.org/10.1108/S1477-407020170000012012
Publisher
:Emerald Publishing Limited
Copyright © 2018 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:
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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 |
Title Page
ADVANCES IN BUSINESS AND MANAGEMENT FORECASTING VOLUME 12
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 2018
Copyright © 2018 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: 978-1-78743-070-9 (Print)
ISBN: 978-1-78743-069-3 (Online)
ISBN: 978-1-78743-256-7 (Epub)
ISSN: 1477-4070 (Series)
List of Contributors
Matthew Butler | University of York |
Catherine Cardamone | Saint Joseph’s University |
Okan Duru | Texas A&M University |
Kathleen Campbell Garwood | Saint Joseph’s University |
Zhimin Huang | Adelphi University |
Sudhanshu Joshi | Doon University |
Ronald K. Klimberg | Saint Joseph’s University |
Kenneth D. Ko | Pepperdine University |
Stephan Kudyba | School of Management, New Jersey Institute of Technology |
Kenneth D. Lawrence | School of Management, New Jersey Institute of Technology |
Sheila M. Lawrence | School of Management and Labor Relations, Rutgers, The State University of New Jersey |
Matthew Lindsey | Stephen F. Austin State University |
Virginia M. Miori | Saint Joseph’s University |
Son Nguyen | Bryant University |
Yasen Nuermaiti | University of Science and Technology of China |
Alan Olinsky | Bryant University |
Robert Pavur | University of North Texas |
John Quinn | Bryant University |
Shalu Rathi | Doon University |
Samuel Ratick | Clark University |
Manu Sharma | University of Petroleum and Energy Studies |
Harvey Smith | ARI |
Feng Yang | University of Science and Technology of China |
Editorial 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
Zhimin Huang
Adelphi University
Douglas Jones
Rutgers University
John J. Kros
East Carolina University
Stephen Kudbya
New Jersey Institute of Technology
Sheila M. Lawrence
Rutgers, The State University of New Jersey
Virginia Miori
Saint Joseph’s University
Daniel O’Leary
University of Southern California
Dinesh R. Pai
The Pennsylvania State University
William Steward
College of William and Mary
Frenck Waage
University of Massachusetts
David J. Weiss
Rutgers, The State University of New Jersey
- Prelims
- Section A Forecasting Applications
- The Effect of Released Information on Searching for Missing Children: The Case of the Baby Back Home Network
- Enhanced Multicriteria Scoring Model
- Forecasting Treatment Outcomes for the Futures Drug and Alcohol Rehabilitation Center
- Section B Predictive Analytics, Regression Analysis and Clustering in Forecasting
- An Oversampling Technique for Classifying Imbalanced Datasets
- Funding Analytics: Predictive Analysis in a Major State Research University
- A Novel Approach to Forecasting Regression and Cluster Analysis
- Development of a Practical and Effective Forecasting Performance Measure
- Section C Time Series, Intermittent Data and Supply Chain Applications
- Assessing the Design of Control Charts for Intermittent Data
- On the Causal Models of Fuzzy Time Series
- Modeling and Forecasting with Fuzzy Time Series and Artificial Neural Networks
- Forecasting in Service Supply Chain Systems: A State-of-the-Art Review Using Latent Semantic Analysis