Real-time big data processing for instantaneous marketing decisions: A problematization approach (2019)
Journal Article
Jabbar, A., Dani, S., & Akhtar, P. (2019). Real-time big data processing for instantaneous marketing decisions: A problematization approach. Industrial Marketing Management, 90, https://doi.org/10.1016/j.indmarman.2019.09.001

The collection of big data from different sources such as the internet of things, social media and search engines has created significant opportunities for business-to-business (B2B) industrial marketing organizations to take an analytical view in de... Read More about Real-time big data processing for instantaneous marketing decisions: A problematization approach.

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.