Manufacturing SME risk management in the era of digitalisation and artificial intelligence: a systematic literature review

T Sotamaa, A Reiman, O Kauppila - Continuity & Resilience Review, 2024 - emerald.com
Purpose The purpose of this paper is to explore companies' business risks and challenges
across macro-and micro-environments, as well as how small and medium-sized enterprises …

[PDF][PDF] Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management.

P Li, Q Zhao, Y Liu, C Zhong, J Wang… - Computers, Materials & …, 2024 - cdn.techscience.cn
Enterprise risk management holds significant importance in fostering sustainable growth of
businesses and in serving as a critical element for regulatory bodies to uphold market order …

Supply chain digitisation and management

MK Tiwari, B Bidanda, J Geunes… - … Journal of Production …, 2024 - Taylor & Francis
In the rapidly evolving landscape, digitising the operations and facilities in a supply chain
network is essential to make the system autonomous and develop strategies for enhancing …

Gamma–lindley regression cure model for corporate credit default prediction

F Chakroun, L Abid, D Elarbi, A Masmoudi - Expert Systems with …, 2024 - Elsevier
Predicting the firm's default over time is marked persistently with certain flaws for firms
seeking to avoid their exposure to credit risk and losses induced by defaults. From this …

Financing a push and pull supply chain under revenue sharing: value addition and default risk transmission mechanism

X Xie, X Xu, Z Zhou, J Gu - International Journal of Production …, 2024 - Taylor & Francis
Supply chain finance (SCF) releases participants' capital constraints and facilitates their
operations. SCF and transactional contracts can have synchronised effects on participants' …

AdaFNDFS: An AdaBoost Ensemble Model with Fast Nondominated Feature Selection for Predicting Enterprise Credit Risk in the Supply Chain

G Yao, X Hu, P Song, T Zhou, Y Zhang… - … Journal of Intelligent …, 2024 - Wiley Online Library
Early warnings of enterprise credit risk based on supply chain scenarios are helpful for
preventing enterprise credit deterioration and resolving systemic risk. Enterprise credit risk …

A review on the reliability of knowledge graph: from a knowledge representation learning perspective

Y Yang, J Chen, Y Xiang - World Wide Web, 2025 - Springer
Abstract Knowledge graphs manage and organize data and information in a structured form,
which can provide effective support for various applications and services. Only reliable …

Using graph neural network to conduct supplier recommendation based on large-scale supply chain

Y Tu, W Li, X Song, K Gong, L Liu, Y Qin… - International Journal of …, 2024 - Taylor & Francis
Driven by economic globalisation, various industries have developed a trend towards high
specialisation and vertical division of labor, resulting in vast and intricate supply chain …

Credit risk assessment of small and micro enterprise based on machine learning

Z Gu, J Lv, B Wu, Z Hu, X Yu - Heliyon, 2024 - cell.com
Small and micro enterprises are pivotal in national economic and social development. To
foster their growth, managing their credit risks scientifically is crucial. This study starts by …

A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning

X Liu, H Yang, C Ai, R Dong, Y Ding, Q Yuan… - arXiv preprint arXiv …, 2024 - arxiv.org
Incomplete knowledge of metabolic processes hinders the accuracy of GEnome-scale
Metabolic models (GEMs), which in turn impedes advancements in systems biology and …