TY - JOUR
T1 - The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry
AU - Olan, Femi
AU - Liu, Shaofeng
AU - Suklan, Jana
AU - Jayawickrama, Uchitha
AU - Arakpogun, Emmanuel Ogiemwonyi
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021/4/25
Y1 - 2021/4/25
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - food and drink industries
KW - supply chain finance
KW - supply networks
KW - sustainability
UR - http://www.scopus.com/inward/record.url?scp=85104848735&partnerID=8YFLogxK
UR - https://pearl.plymouth.ac.uk/context/pbs-research/article/1574/viewcontent/Accepted_manuscript_for_PEARL.pdf
U2 - 10.1080/00207543.2021.1915510
DO - 10.1080/00207543.2021.1915510
M3 - Article
AN - SCOPUS:85104848735
SN - 0020-7543
VL - 60
SP - 4418
EP - 4433
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 14
ER -