The Role of Supply Chain Learning in Circular Economy Transition: A Systematic Review and Future Research Agenda
摘要
The pressing necessity to adopt sustainable business practices has elevated the circular economy (CE) to a fundamental paradigm shift within supply chain management. However, the intricate process of integrating circular principles requires substantial organizational learning capabilities. Despite this, the relationship between supply chain learning (SCL) and the circular economy remains inadequately researched and fragmented in existing research. This systematic review analyses 49 articles from 2014 to 2024 in Scopus, employing the PRISMA methodology to synthesize how organisations learn to implement circular practices within their supply chains. Our bibliometric analysis reveals India as the leading contributor to this field, with sustainable development goals emerging as a significant theme and green supply chain management as a niche area. The findings highlight three key dimensions: (1) the fundamental role of SCL in facilitating CE transition through collaborative knowledge sharing and capacity building, (2) the promising yet insufficiently studied potential of advanced technologies (AI, blockchain, IoT) in optimizing circular supply chains, and (3) the limited application of complex adaptive systems theory and social network analysis in understanding SCL-CE dynamics. This review helps the field by providing a framework that connects how we learn to the results of circular outcomes, filling in gaps in understanding and directing future research. The review identifies significant gaps in understanding the direct impact of learning processes on CE outcomes across different industries, particularly in the context of technology integration and cross-sectoral collaborations. By clarifying these intersections, the study contributes novel theoretical and practical insights, laying a foundation for both scholarly advancement and organizational strategy. These insights are important: researchers should create specific frameworks for different sectors that include complex adaptive systems and social network views, while practitioners can use our findings to improve their learning skills for implementing CE.