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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)

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.

Suggested Citation

  • Wen-Hsiang Lai, 2012. "Fuzzy Rule-Based Analysis of Industrial Service Flexibility in Collaborative Networks," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 11(2), pages 105-126, December.
  • Handle: RePEc:ijb:journl:v:11:y:2012:i:2:p:105-126
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    References listed on IDEAS

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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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    More about this item

    Keywords

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

    JEL classification:

    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • L64 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Machinery; Business Equipment; Armaments

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