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Abraham Zhang

Researcher at University of Essex

Publications -  55
Citations -  2594

Abraham Zhang is an academic researcher from University of Essex. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 19, co-authored 45 publications receiving 1170 citations. Previous affiliations of Abraham Zhang include Auckland University of Technology & Indiana Wesleyan University.

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Circular supply chain management: A definition and structured literature review

TL;DR: A review of the literature on CSCM is presented in this paper, where the authors classify various terminologies related to supply chain sustainability and conceptualize a unifying definition of CSCMs.
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Agribusiness supply chain risk management: A review of quantitative decision models

TL;DR: In this paper, the authors identify robustness and resilience as two key techniques for managing risk in agricultural supply chains and propose clear definitions and metrics for these terms; they then use these definitions to classify the agricultural supply chain risk management literature.
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Barriers to smart waste management for a circular economy in China

TL;DR: Wang et al. as mentioned in this paper identified three key causal barriers for smart waste management in China: lack of regulatory pressures, lack of environmental education and culture of environmental protection, and lack of market pressures and demands.
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System architecture for blockchain based transparency of supply chain social sustainability

TL;DR: This study develops a system architecture that integrates the use of blockchain, internet-of-things (IoT) and big data analytics to allow sellers to monitor their supply chain social sustainability efficiently and effectively.
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Blockchain-based life cycle assessment: An implementation framework and system architecture

TL;DR: This research develops a framework to guide the implementation of Blockchain-based LCA and proposes a system architecture that integrates the use of Blockchain, IoT, and big data analytics and visualization.