A comprehensive multidimensional framework for assessing the performance of sustainable supply chains

作者：Ahi Payman; Jaber Mohamad Y; Searcy Cory

来源：Applied Mathematical Modelling, 2016, 40(23-24): 10153-10166.

DOI：10.1016/j.apm.2016.07.001

• Sustainable supply chain management (SSCM)
• Performance assessment
• Stochastic approach
• Multidimensional
• SSCM characteristics
• Integrative framework

Managing sustainable supply chains is an area of growing interest in both academia and practice. The successful implementation of sustainable supply chain management (SSCM) practices is now recognized as a critical component of overall business sustainability. However, there is a dearth of established theories, models, and frameworks for assessing sustainable supply chain (SSC) performance. To help address this issue, this paper proposes an integrative multidimensional framework for a comprehensive evaluation of SSC performance. The framework is an extension of the sustainability model developed in an earlier study by Ahi and Searcy [4]. The key contribution of the current research is that the proposed stochastic framework is capable of accommodating any number of performance characteristics associated with SSCM. The framework is not restricted to the three traditional areas of the triple bottom line, namely economic, environmental, and social issues. This is important given the wide range of challenges and opportunities present in different supply chains. It is recognized that a key challenge in applying the framework is data availability and quality. The implications of the proposed framework are discussed and recommendations for future research are provided.

• 出版日期2016-12