Investigating the link between transaction and computational costs in a blockchain environment (2020)
Journal Article
Jabbar, A., & Dani, S. (2020). Investigating the link between transaction and computational costs in a blockchain environment. International Journal of Production Research, 58(11), 3423 - 3436. https://doi.org/10.1080/00207543.2020.1754487

The research and thinking pertaining to blockchain have thus far focused on cryptocurrency and Bitcoin. However, there is increased interest in using the technology to solve operational challenges in manufacturing and service supply chains. In this s... Read More about Investigating the link between transaction and computational costs in a blockchain environment.

Predicting supply chain risks using machine learning: The trade-off between performance and interpretability (2019)
Journal Article
Baryannis, G., Dani, S., & Antoniou, G. (2019). Predicting supply chain risks using machine learning: The trade-off between performance and interpretability. Future Generation Computer Systems, 101, 993 - 1004. https://doi.org/10.1016/j.future.2019.07.059

Managing supply chain risks has received increased attention in recent years, aiming to shield supply chains from disruptions by predicting their occurrence and mitigating their adverse effects. At the same time, the resurgence of Artificial Intellig... Read More about Predicting supply chain risks using machine learning: The trade-off between performance and interpretability.