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Fuzzy Rule-Based Analysis of Industrial Service Flexibility in Collaborative Networks

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  • Wen-Hsiang Lai

    (Graduate Institute of Management of Technology, Feng Chia University, Taiwan)

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    Abstract

    The focus of this study is to analyze the factors influencing industrial service flexibility (SF) in Taiwan's manufacturing industry (TMI). This study develops a rule-based decision-support mechanism using fuzzy set theory and an analytic hierarchy process to evaluate SF in TMI. This study finds that the external collaborative network makes a greater contribution to SF than the internal collaborative network. Also, government support does not significantly improve SF because companies in TMI need core competencies and collaborative networks to integrate vertical and horizontal collaborations and maximize the effectiveness of SF.

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    Bibliographic Info

    Article provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.

    Volume (Year): 11 (2012)
    Issue (Month): 2 (December)
    Pages: 105-126

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    Handle: RePEc:ijb:journl:v:11:y:2012:i:2:p:105-126

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    Related research

    Keywords: fuzzy rule-based analysis; service flexibility; collaborative networks;

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    1. Maloni, Michael J. & Benton, W.C., 1997. "Supply chain partnerships: Opportunities for operations research," European Journal of Operational Research, Elsevier, vol. 101(3), pages 419-429, September.
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