4.6 Article

Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure

Journal

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 190, Issue -, Pages 96-107

Publisher

ELSEVIER
DOI: 10.1016/j.ijpe.2016.08.027

Keywords

Closed-loop analytical network process; Decision-making trials and evaluation laboratory; method (DEMATEL); Fuzzy Delphi method; Fuzzy set theory; Supply chain agility

Funding

  1. MOST, Taiwan [105-2410-H-262-005]
  2. Dalian University of Technology Fundamental Research Fund, China [DUTI6RC(3)038]

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The electronic industry suffers a rapid changing and highly rival environment. Thus, firms have an essential need to strive for acquiring the competitive advantage. Supply chain agility (SCA) is a tool which enable to assist firms to attain the competitive advantage. Therefore, this study benchmarks the core competencies from a case study within the supply chain network and establishes a set of attributes for augmenting SCA. A novel multi-criteria decision-making structure is proposed to deal with the complex interrelationships among the aspects and attributes. Fuzzy Delphi method uses for screening out the unnecessary attributes, then integrating fuzzy set theory with decision-making trials and evaluation laboratory method and closed-loop analytical network process to evaluate the SCA in determining the core competitive advantage. The empirical results indicate that flexibility significantly impacts by process integration, information integration and strategic alliances for eco-design in supply chain. Then, process integration has the highest influence in developing the competitive advantage of innovation. The managerial and theoretical implications are discussed. (C) 2017 Elsevier B.V. All rights reserved.

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