TY - JOUR
T1 - A conceptual framework for measuring sustainability performance of supply chains
AU - Qorri, Ardian
AU - Mujkić, Zlatan
AU - Kraslawski, Andrzej
N1 - Funding Information:
The authors would like to thank the anonymous reviewers for their constructive comments and suggestions. The first and the second author of this study are grateful for financial support from SIGMA Agile, an Erasmus Mundus Action 2 project within the European Commission scholarship program. Acknowledgment goes to Peter Jones for his comments and assistance with the English language.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/7/10
Y1 - 2018/7/10
N2 - Supply chains are critical driving forces behind business competitive advantages, hence their sustainability measurement and management is vital. Determining the sustainability performance of supply chains is challenging. It requires appropriate tools for capturing and analyzing data for every supply chain activity and for each sustainability aspect. This study analyzes measurement approaches that are used to assess sustainability performance of supply chains. Using Content, Context and Process framework, we have studied 104 peer-reviewed articles, published in the literature on sustainable supply chain management (SSCM) and green supply chain management (GSCM). The results show that various measurement approaches are used to assess sustainability in different sectors and supply chain echelons. The application of multi-criteria decision-making methods is increasing and several promising measurement frameworks have been proposed. The most used approaches include Life Cycle Assessment, Analytical Hierarchy Process, Fuzzy set approach, Balance Scorecard, and Data envelopment analysis. Additionally, this study proposes a novel conceptual framework and provides a concise guideline for assessing sustainability of supply chains. Key challenges that need to be solved by future measurement approaches include sustainability data collection and sharing, metrics standardization, and collaboration among supply chain members per se and stakeholders. This study creates better comprehension of how existing approaches evaluate sustainability of supply chains and provides new insights into sustainability performance measurement approaches, supply chain configuration, and metrics selection.
AB - Supply chains are critical driving forces behind business competitive advantages, hence their sustainability measurement and management is vital. Determining the sustainability performance of supply chains is challenging. It requires appropriate tools for capturing and analyzing data for every supply chain activity and for each sustainability aspect. This study analyzes measurement approaches that are used to assess sustainability performance of supply chains. Using Content, Context and Process framework, we have studied 104 peer-reviewed articles, published in the literature on sustainable supply chain management (SSCM) and green supply chain management (GSCM). The results show that various measurement approaches are used to assess sustainability in different sectors and supply chain echelons. The application of multi-criteria decision-making methods is increasing and several promising measurement frameworks have been proposed. The most used approaches include Life Cycle Assessment, Analytical Hierarchy Process, Fuzzy set approach, Balance Scorecard, and Data envelopment analysis. Additionally, this study proposes a novel conceptual framework and provides a concise guideline for assessing sustainability of supply chains. Key challenges that need to be solved by future measurement approaches include sustainability data collection and sharing, metrics standardization, and collaboration among supply chain members per se and stakeholders. This study creates better comprehension of how existing approaches evaluate sustainability of supply chains and provides new insights into sustainability performance measurement approaches, supply chain configuration, and metrics selection.
KW - 512 Business and Management
KW - Framework
KW - Green supply chain management
KW - Metrics
KW - Multi criteria analysis
KW - Performance measurement
KW - Sustainable supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85045659120&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.04.073
DO - 10.1016/j.jclepro.2018.04.073
M3 - Review Article
AN - SCOPUS:85045659120
SN - 0959-6526
VL - 189
SP - 570
EP - 584
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -