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

Wu, K.-J., Tseng, M.-L., Chiu, A. S. F. and Lim, M. K. (2017) Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, pp. 96-107. (doi: 10.1016/j.ijpe.2016.08.027)

Full text not currently available from Enlighten.

Abstract

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.

Item Type:Articles
Additional Information:This study is funded by MOST 105-2410-H-262-005, Taiwan and the Dalian University of Technology Fundamental Research Fund (DUT16RC(3)038), China.
Keywords:Closed-loop analytical network process, Decision-making trials and evaluation laboratory method (DEMATEL), Fuzzy Delphi method, Fuzzy set theory, Supply chain agility
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lim, Professor Ming
Authors: Wu, K.-J., Tseng, M.-L., Chiu, A. S. F., and Lim, M. K.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:International Journal of Production Economics
Publisher:Elsevier
ISSN:0925-5273
Published Online:30 August 2016

University Staff: Request a correction | Enlighten Editors: Update this record