TY - JOUR
T1 - Sustainable Supply Chain Finance and Supply Networks
T2 - The Role of Artificial Intelligence
AU - Olan, Femi
AU - Arakpogun, Emmanuel Ogiemwonyi
AU - Jayawickrama, Uchitha
AU - Suklan, Jana
AU - Liu, Shaofeng
PY - 2022/1/4
Y1 - 2022/1/4
N2 - 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.
AB - 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.
KW - Artificial Intelligence (AI)
KW - SC finance (SCF)
KW - SC network
KW - supply chain (SC)
UR - http://www.scopus.com/inward/record.url?scp=85122570602&partnerID=8YFLogxK
U2 - 10.1109/TEM.2021.3133104
DO - 10.1109/TEM.2021.3133104
M3 - Article
AN - SCOPUS:85122570602
SN - 0018-9391
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
ER -
