All Outputs (4)

Real-time big data processing for instantaneous marketing decisions: A problematization approach (2019)
Journal Article
Dani, S. (2019). Real-time big data processing for instantaneous marketing decisions: A problematization approach. Industrial Marketing Management, 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
Dani. (2019). Predicting supply chain risks using machine learning: The trade-off between performance and interpretability. Future Generation Computer Systems, 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.

Supply chain risk management and artificial intelligence: state of the art and future research directions (2019)
Journal Article
Dani, S. (2019). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research, 2179 - 2202. https://doi.org/10.1080/00207543.2018.1530476

Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to identify, assess, mitigate and monitor unexpected events or conditions which might have an impact, mostly adverse, on any part of a supply chain. SCRM strategies o... Read More about Supply chain risk management and artificial intelligence: state of the art and future research directions.

Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm (2019)
Journal Article
Nikitas, A., Tchouamou Njoya, E., & Dani, S. (2019). Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm. International Journal of Automotive Technology and Management, 19(1/2), 10 - 10. https://doi.org/10.1504/IJATM.2019.098513

Connected and autonomous vehicles (CAVs) could become the most powerful mobility intervention in the history of human race; possibly greater than the conception of the wheel itself or the shift from horse-carriages to automobiles. Despite CAVs' likel... Read More about Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm.