[HTML][HTML] The role of artificial intelligence in the procurement process: State of the art and research agenda
Artificial intelligence (AI) is widely adopted in many areas, but it is still in its infancy in
procurement, despite its potential. To map the state of the art of both research and practice …
procurement, despite its potential. To map the state of the art of both research and practice …
[HTML][HTML] Supply chain risk management with machine learning technology: A literature review and future research directions
Abstract Coronavirus disease 2019 (COVID-19) has placed tremendous pressure on supply
chain risk management (SCRM) worldwide. Recent technological advances, especially …
chain risk management (SCRM) worldwide. Recent technological advances, especially …
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
In recent years, financial institutions (FIs) have tentatively utilized supply chain finance (SCF)
as a means of solving the financing issues of small and medium-sized enterprises (SMEs) …
as a means of solving the financing issues of small and medium-sized enterprises (SMEs) …
A comprehensive evaluation of ensemble learning for stock-market prediction
Stock-market prediction using machine-learning technique aims at developing effective and
efficient models that can provide a better and higher rate of prediction accuracy. Numerous …
efficient models that can provide a better and higher rate of prediction accuracy. Numerous …
A systematic review of the research trends of machine learning in supply chain management
Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …
yielded an enormous amount of publications during the last two decades. However, in the …
Applications of artificial intelligence and machine learning within supply chains: systematic review and future research directions
Purpose The purpose of this study is to investigate how artificial intelligence (AI), as well as
machine learning (ML) techniques, are being applied and implemented within supply chains …
machine learning (ML) techniques, are being applied and implemented within supply chains …
A comparative performance assessment of ensemble learning for credit scoring
Y Li, W Chen - Mathematics, 2020 - mdpi.com
Extensive research has been performed by organizations and academics on models for
credit scoring, an important financial management activity. With novel machine learning …
credit scoring, an important financial management activity. With novel machine learning …
Application of genetic algorithm and BP neural network in supply chain finance under information sharing
B Sang - Journal of Computational and Applied Mathematics, 2021 - Elsevier
The supply chain finance industry will generate the flow of funds and commodities when
providing financing services to small and medium-sized enterprises (SMEs). At this time …
providing financing services to small and medium-sized enterprises (SMEs). At this time …
Two-stage consumer credit risk modelling using heterogeneous ensemble learning
M Papouskova, P Hajek - Decision support systems, 2019 - Elsevier
Modelling consumer credit risk is a crucial task for banks and non-bank financial institutions
to support decision-making on granting loans. To model the overall credit risk of a consumer …
to support decision-making on granting loans. To model the overall credit risk of a consumer …
A firefly algorithm modified support vector machine for the credit risk assessment of supply chain finance
H Zhang, Y Shi, X Yang, R Zhou - Research in International Business and …, 2021 - Elsevier
Abstract Purpose Nowadays, Supply Chain Finance (SCF) has been developing rapidly
since the emergence of credit risk. Therefore, this paper used SVM optimized by the firefly …
since the emergence of credit risk. Therefore, this paper used SVM optimized by the firefly …