Title | Blockchain-based recycling and its impact on recycling performance: A network theory perspective |
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ID_Doc | 26473 |
Authors | Gong, Y; Xie, SH; Arunachalam, D; Duan, J; Luo, JL |
Title | Blockchain-based recycling and its impact on recycling performance: A network theory perspective |
Year | 2022 |
Published | Business Strategy And The Environment, 31, 8 |
Abstract | The purpose of this study is to explore the application of blockchain technology (BCT) in recycling. This research applies a multiple case study approach with six pioneer organisations, based on secondary data. We found that BCT is an effective approach to promote recycling performance: it can provide tokenisation, waste flow tracking and recycling chain integration. The benefits include 'Eco-friendly', 'Stimulate participation', 'Social inclusion', 'Transparent recycling chains' and 'Extended producer responsibility accountability'. However, the majority of existing BCT-based initiatives are in the pilot stage and face cognitive, technology, internal and external barriers. Our research is one of the first studies on blockchain-based recycling. We applied the network theory of 'Reachability', 'Richness' and 'Receptivity' and 'network formation' barriers to propose a conceptual framework of BCT-based recycling, which serves as a practical reference for the recycling industry. |