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Blockchain‐based recycling and its impact on recycling performance: A network theory perspective
Author(s) -
Gong Yu,
Xie Shenghao,
Arunachalam Deepak,
Duan Jiang,
Luo Jianli
Publication year - 2022
Publication title -
business strategy and the environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.123
H-Index - 105
eISSN - 1099-0836
pISSN - 0964-4733
DOI - 10.1002/bse.3028
Subject(s) - reachability , business , process management , inclusion (mineral) , blockchain , perspective (graphical) , environmental economics , accountability , computer science , economics , computer security , sociology , political science , gender studies , theoretical computer science , artificial intelligence , law
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.