ORCID
- Shaofeng Liu: 0000-0002-8330-3335
Abstract
In the last decade, food and drink supply chain management has become an important part of global operations strategy. The global food and drink industries (FDIs) is establishing supply chain operations across countries as a result of increasing demand, this expansion has created challenges in coordinating operations that connect multi-suppliers, one as such is the financial enabler for the multi-layered supply chain network. However, literature on artificial intelligence (AI) in FDIs is limited, this study explores AI theory in supply chain networks and alternative supply chain financing for the FDIs. This study proposes a new conceptual framework based on theoretical contributions identified through literature, a conceptual framework is established and further developed to a meta-framework. This study explored the set-theoretic comparative approach for data analysis, the outcomes of this research suggest that the probable contributions of supply chain networks driven by AI technologies provide a sustainable financing stream for the food and drink supply chain.
DOI
10.1080/00207543.2021.1915510
Publication Date
2021-04-25
Publication Title
International Journal of Production Research
Volume
60
Issue
14
ISSN
0020-7543
Keywords
Artificial intelligence, food and drink industries, supply chain finance, supply networks, sustainability
First Page
4418
Last Page
4433
Recommended Citation
Olan, F., Liu, S., Suklan, J., Jayawickrama, U., & Arakpogun, E. (2021) 'The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry', International Journal of Production Research, 60(14), pp. 4418-4433. Available at: https://doi.org/10.1080/00207543.2021.1915510
