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    A method for service quality assessment in a service ecosystem

    20388_downloaded_stream_376.pdf (7.346Mb)
    Access Status
    Open access
    Authors
    Chen, Wu
    Chang, Elizabeth
    Date
    2007
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Chen, Wu and Chang, Elizabeth. 2007. : A method for service quality assessment in a service ecosystem, Digital Ecosytems and Technologies Conference 2007 DEST '07 Inaugural IEEE-IES, 21-23 Feb 21 2007, pp. 251-256. Cairns, Australia: IEEE.
    Source Conference
    Digital Ecosytems and Technologies Conference 2007 DEST '07 Inaugural IEEE-IES
    DOI
    10.1109/DEST.2007.371979
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright 2007 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/16164
    Collection
    • Curtin Research Publications
    Abstract

    the increasing proliferation of independent application service providers is making traditional IT infrastructure insufficient when dealing with new issues that appear in a dynamic outsourcing business model. Quality of Service (QoS) gradually becomes an essential benchmark to differentiate diverse service providers during service selection process. In this paper, we argue service selection can be deemed as a decision making process - to decide which services providers should be selected within the specified service provision context during a definitive timeslot. Thus, existing decision support approaches can be leveraged if applicable. Hence, we propose a service selection solution which utilizes the Decision Support Systems Module (DSS Module) to select the most appropriate service. In DSS module we introduce AHP model to carry out the service QoS measurement based on the Context-specific Quality Aspects. The contributions of this paper are two folds. Firstly, we provide a novel and feasible solution for QoS-based service selection and secondly, we apply DSS module into web services, thus opening a new, fertile ground for DSS research in service ecosystem literature.

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