Overview
- This book is open access, which means that you have free and unlimited access
- Written by rising stars in service operations who have won multiple national and international research awards
- Presents the latest research advances in service industry that help service managers make decisions
- Provides practice-based research that inspires future research directions
Part of the book series: SpringerBriefs in Service Science (SSS)
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Table of contents (7 chapters)
Keywords
About this book
This book introduces the most advanced and recent theoretical research on innovative priority mechanisms in service settings. It covers cutting-edge topics on service innovations such as line-sitting, service-position-trading, referral priority programs, queue-scalping, distance-based priority, and dynamic priority policy. It also contains a variety of practical examples and applications which help managers to make better decisions and to develop a coherent business strategy.
This book appeals to a wide readership, from academics and Ph.D. students who are interested in priority mechanisms, to service managers and researchers in the service industry.
This is an open access book.
Authors and Affiliations
About the authors
Zhongbin Wang is an Associate Professor at the College of Management and Economics, Tianjin University, China. His research interests include stochastic modeling, consumer-driven service operations, and queueing theory, with applications to service systems.
Luyi Yang is an Assistant Professor of operations and information technology management at the University of California, Berkeley’s Haas School of Business, USA. His research interests include service operations, digital marketplaces, and sustainability. Prior to joining Berkeley Haas, he was an assistant professor of operations management and business analytics at Johns Hopkins University’s Carey Business School, USA.
Bibliographic Information
Book Title: Innovative Priority Mechanisms in Service Operations
Book Subtitle: Theory and Applications
Authors: Shiliang Cui, Zhongbin Wang, Luyi Yang
Series Title: SpringerBriefs in Service Science
DOI: https://doi.org/10.1007/978-3-031-30841-3
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Softcover ISBN: 978-3-031-30840-6Published: 24 June 2023
eBook ISBN: 978-3-031-30841-3Published: 23 June 2023
Series ISSN: 2731-3743
Series E-ISSN: 2731-3751
Edition Number: 1
Number of Pages: IX, 139
Number of Illustrations: 16 b/w illustrations, 5 illustrations in colour
Topics: Services, Operations Management, Operations Research/Decision Theory, Industries