H
Huilan Chen
Researcher at University of Plymouth
Publications - 13
Citations - 633
Huilan Chen is an academic researcher from University of Plymouth. The author has contributed to research in topics: Supply chain & Knowledge sharing. The author has an hindex of 6, co-authored 11 publications receiving 302 citations. Previous affiliations of Huilan Chen include Saint Petersburg State University.
Papers
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Journal ArticleDOI
Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions
Guoqing Zhao,Shaofeng Liu,Carmen López,Haiyan Lu,Sebastian Elgueta,Huilan Chen,Biljana Mileva Boshkoska +6 more
TL;DR: The findings suggest that blockchain technology together with advanced information and communication technology and internet of things have been adopted for the improvement of agri-food value chain management in four main aspects: traceability, information security, manufacturing and sustainable water management.
Journal ArticleDOI
How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approach
TL;DR: In this article, the authors analyze the organizational culture that supports knowledge sharing activities for organizational performance, innovation and strategy, and demonstrate the role of organizational culture with an innovative strategy in knowledge sharing, which directly contributes to the improvement of organizational performance.
Journal ArticleDOI
Risk analysis of the agri-food supply chain: A multi-method approach
Guoqing Zhao,Shaofeng Liu,Carmen López,Huilan Chen,Haiyan Lu,Sachin Kumar Mangla,Sebastian Elgueta +6 more
TL;DR: This study analyses various AFSC risks using a multi-method approach, including thematic analysis, total interpretive structural modelling (TISM) and fuzzy cross-impact matrix multiplication applied to classification (MICMAC) analysis, and indicates that the weather-related and political risks have the highest driving power.
Journal ArticleDOI
A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry
TL;DR: The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains to achieve lean performance i.e. to reduce/eliminate non-value-adding activities, or "waste" in lean term.
Book ChapterDOI
Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda
TL;DR: The main outcome of the paper is the definition of an architectural framework and associated research and development agenda for the application of cloud computing for the development and deployment of a Big Data Logistics Business Platform (BDLBP) for supply chain network management services.