L
Li Zhou
Researcher at University of Greenwich
Publications - 76
Citations - 2914
Li Zhou is an academic researcher from University of Greenwich. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 26, co-authored 72 publications receiving 1973 citations. Previous affiliations of Li Zhou include Cardiff University & Nanchang University.
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Big data analytics in supply chain management: A state-of-the-art literature review
TL;DR: A novel classification framework is proposed that provides a full picture of current literature on where and how BDA has been applied within the SCM context and reveals a number of research gaps, which leads to future research directions.
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An empirical investigation of factors affecting e-collaboration diffusion in SMEs
TL;DR: In this article, an integration technology adoption model based on Technological-Organizational-Environmental (TOE) framework, Interorganizational Relationships (IOR), and Unified Theory of Acceptance and Use of Technology (UTAUT) is proposed and empirically validated.
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Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
TL;DR: In this article, the authors proposed an enhanced hybrid ensemble ML approach called RS-MultiBoosting by incorporating two classic ensemble ML approaches, random subspace (RS) and MultiBoosting, to improve the accuracy of forecasting SMEs' credit risk.
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The impacts of product design changes on supply chain risk: a case study
TL;DR: In this article, the authors address the impact of product design changes on supply chain risk, and identify the supply-chain risk dimensions in the Chinese special-purpose vehicle (SPV) industry in the context of design change.
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The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain
TL;DR: In this paper, the authors investigate a three-echelon manufacturing and remanufacturing closed-loop supply chain (CLSC) consisting of a retailer, a manufacturer and a supplier, and investigate the impact on dynamic performance of uncertainties in the return yield, RL lead time and the product consumption lead time.