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    Innovative Priority Mechanisms in Service Operations

    Theory and Applications

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    Author(s)
    Cui, Shiliang
    Wang, Zhongbin
    Yang, Luyi
    Language
    English
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    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/63946
    Keywords
    Service Operations; Priority Queues; Service Innovations; Queue-scalping; Referral priority program; Service-position-trading; Linesitting; Dynamic priority policy; Decision Making; Applications to Service Systems; Queueing Theory
    DOI
    10.1007/978-3-031-30841-3
    ISBN
    9783031308413, 9783031308406, 9783031308413
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2023
    Grantor
    • University of California, Berkeley Foundation - [...]
    Imprint
    Springer International Publishing
    Series
    SpringerBriefs in Service Science,
    Classification
    Hospitality and service industries
    Management of specific areas
    Operational research
    Industry and industrial studies
    Pages
    139
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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