Sustainable supply chain management: A closed-loop network hierarchical approach

M. L. Tseng, Ming K. Lim, W. P. Wong

Research output: Contribution to journalArticle

112 Citations (Scopus)

Abstract

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.
Original languageEnglish
Pages (from-to)436 - 461
JournalSustainable supply chain management: A closed-loop network hierarchical approach
Volume115
Issue number3
DOIs
Publication statusPublished - 2015

Bibliographical note

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Keywords

  • Balanced scorecard
  • Stakeholder theory
  • Analytical network process
  • Fuzzy Delphi method
  • Fuzzy set theory
  • Sustainable supply chain management

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