Browse by author
Lookup NU author(s): Dr Jana SuklanORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
Author(s): Olan F, Shaofeng L, Suklan J, Jayawickrama U, Arakpoun EO
Publication type: Article
Publication status: Published
Journal: International Journal of Production Research
Pages: Epub ahead of print
Online publication date: 25/04/2021
Acceptance date: 02/04/2021
ISSN (print): 0020-7543
ISSN (electronic): 1366-588X
Publisher: Taylor & Francis
Altmetrics provided by Altmetric