Browsing NTNU Open by Author "Wan, Paul Kengfai"
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Automated infection risks assessments (AIRa) for decision-making using a blockchain-based alert system: A case study in a representative building
Wan, Paul Kengfai; Huang, Lizhen; Lai, Zhichen; Liu, Xiufeng; Nowostawski, Mariusz; Holtskog, Halvor; Liu, Yongping (Peer reviewed; Journal article, 2022)Indoor air quality (IAQ) is an important parameter in protecting the occupants of an indoor environment. Previous studies have shown that an indoor environment with poor ventilation increases airborne virus transmission. ... -
Blockchain-enabled Information Sharing within a Supply Chain: A Systematic Literature Review
Wan, Paul Kengfai; Huang, Lizhen; Holtskog, Halvor (Peer reviewed; Journal article, 2020)A supply chain consists of many stakeholders such as suppliers, carriers and customers. It is often complex due to the rapid development of economic globalization and the intense competition pressure in the market which ... -
The Effect of Digitalization and Human-Centric on Companies’ Production Performances
Wan, Paul Kengfai; Sølvsberg, Endre; Eleftheriadis, Ragnhild; Fragapane, Giuseppe (Chapter, 2023)Industry 5.0 is the inclusion of humans in the production line. This is because human is now considered a prerequisite for any industry to enhance production performances. However, most of the technological enablers still ... -
Facilitating information sharing within a supply chain: the blockchain framework
Wan, Paul Kengfai (Doctoral theses at NTNU;2021:282, Doctoral thesis, 2021)Firms focus on their core functions and engage in collaborative cooperation as a strategy to remain competitive. In recent decades, service industries such as providing medical check-ups and electric utilities have played ... -
GDPR Compliance for Blockchain Applications in Healthcare
Hasselgren, Anton; Wan, Paul Kengfai; Horn, Margareth; Kralevska, Katina; Gligoroski, Danilo; Faxvaag, Arild (Chapter, 2020)The transparent and decentralized characteristics associated with blockchain can be both appealing and problematic when applied to a healthcare use-case. As health data is highly sensitive, it is therefore, highly regulated ...