Analysis of Success Factors to Implement Sustainable Supply Chain Management Using Interpretive Structural Modeling Technique: A Real Case Perspective

作者：Yang, Mengke; Movahedipour, Mahmood^*; Zeng, Jianqiu; Zhou Xiaoguang; Wang, Ludi

来源：Mathematical Problems in Engineering, 2017, 2017: 7274565.

DOI：10.1155/2017/7274565

• GREEN
• PERFORMANCE
• ENERGY
• CONSUMPTION
• FRAMEWORK
• DECISION
• TECHNOLOGIES
• INSTABILITY
• SELECTION
• BARRIERS

Sustainability draws increased supply chain management (SCM) attention. This article analyzes critical success to the assessment, evaluation, and attainment of sustainable supply chain management (SSCM), assessed through critical-success identification and qualitative data analysis. Namely, a literature review selected of 188 articles, published between January 1994 and November 2016, helps identify the most influential success factors. The qualitative data analysis pertains to fifteen such successes, identified in the literature review and through our collaboration with other academic researchers and industrial specialists. Notably, the study's qualitative data analysis, interpretive structural modeling (ISM), unconceals the mutual impact among the most prominent SSCM success factors. The economic benefits and environmental awareness of suppliers are recognized as the most significant success factors, which could allow business enterprises and other organizations to implement a SSCM framework, with intentionality and the sustainability in their business. The article concludes with suggestions for future research directions.

• 出版日期2017
• 单位北京邮电大学