Exploring Artificial Intelligence for Supply Chain Resilience and Organization Performance in Developing Country: A Case of Nigeria
Dede Chinyere Helen, Abue Regina Elejie, Ogar Joy Iyeumbe, Umoh Godwin Godwin, Echadu Melford Ochang and Bassey Prince Etim
Abstract
Increase in complexity, the development of economic changes and the globalization of
Keywords
Supply Chain Design; Supply Chain Resilience
Organization Performance
Artificial intelligence.
References
Handfield, R.B., Graham, G and Burns, L. (2020), “Corona virus, tariffs, trade wars and
supply chain evolutionary design”, International Journal of Operations and
Production Management, Vol. 40 No. 10, pp. 1649-1660.
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management
and artificial intelligence: state of the art and future research directions. International
Journal of Production Research,57(7), 2179-2202.
Butt, A. S. (2021). Strategies to mitigate the impact of COVID-19 on supply chain
disruptions: a multiple case analysis of buyersand distributors. International Journal of
Logistics Management.DOI: 10.1108/IJLM-11-2020-0455.
supply chain evolutionary design”, International Journal of Operations and
Production Management, Vol. 40 No. 10, pp. 1649-1660.
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management
and artificial intelligence: state of the art and future research directions. International
Journal of Production Research,57(7), 2179-2202.
Butt, A. S. (2021). Strategies to mitigate the impact of COVID-19 on supply chain
disruptions: a multiple case analysis of buyersand distributors. International Journal of
Logistics Management.DOI: 10.1108/IJLM-11-2020-0455.