Olan, Femi, Arakpogun, Emmanuel, Jayawickrama, Uchitha, Suklan, Jana and Liu, Shaofeng (2022) Sustainable Supply Chain Finance and Supply Networks: The Role of Artificial Intelligence. IEEE Transactions on Engineering Management. pp. 1-16. ISSN 0018-9391 (In Press)
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Abstract
Supply chain finance (SCF) is receiving increasing awareness in research as a result of uncertainties in the global financing for supply chain (SC). There are limited and fragmented studies in the implementations of financial services in SC management. This article builds on recovery from the financial crisis of 2008 and posts COVID-19 pandemic, where uncertainties crippled SCF providers and brokers services. At the same time, cutting-edge technological advancements such as Artificial Intelligence (AI) are revolutionizing the processes of business ecosystem in which SCF is entrenched. This article thus adopts a fuzzy set theoretical approach to unpack the entities relationship validity for sustainable SCF mate-framework, and the originality of AI concepts to sustainable SCF to identify the issues and inefficiencies. The results indicate that AI contributes significant economic opportunities and deliver the most effective utilization of the supply networks. In addition, the article provides a theoretical contribution to financing in SC and broadens the managerial implications in improving performance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence (AI), supply chain (SC), SC finance (SCF), SC network |
| Subjects: | G700 Artificial Intelligence N100 Business studies N300 Finance |
| Department: | Faculties > Business and Law > Newcastle Business School |
| Depositing User: | John Coen |
| Date Deposited: | 19 Jan 2022 09:39 |
| Last Modified: | 19 Jan 2022 09:45 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/48203 |
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