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

Tseng, M. L., Lim, M. K. and Wong, W. P. (2015) Sustainable supply chain management: a closed-loop network hierarchical approach. Industrial Management and Data Systems, 115(3), 436 - 461. (doi: 10.1108/IMDS-10-2014-0319)

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.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming
• Authors: Tseng, M. L., Lim, M. K., and Wong, W. P.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Industrial Management and Data Systems
• Publisher: Emerald
• ISSN: 0263-5577