[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 …
A latent factor analysis-based approach to online sparse streaming feature selection
Online streaming feature selection (OSFS) has attracted extensive attention during the past
decades. Current approaches commonly assume that the feature space of fixed data …
decades. Current approaches commonly assume that the feature space of fixed data …
Enriching the green economy through sustainable investments: An ESG-based credit rating model for green financing
PK Roy - Journal of Cleaner Production, 2023 - Elsevier
Environmental, social, and governance (ESG) measures have grown significantly as
sustainable investment has become a key driver of capital allocation. Sustainable …
sustainable investment has become a key driver of capital allocation. Sustainable …
Sustainable supply chain management with NGOs, NPOs, and charity organizations: a systematic review and research agenda
With the gradually increased awareness of sustainability development, external
organizations, including non-governmental organizations (NGOs), non-profit organizations …
organizations, including non-governmental organizations (NGOs), non-profit organizations …
Sustainable supply chain flexibility and its relationship to circular economy-target performance
The circular economy (CE) is an evolving economic and sustainable development model. In
this new environment, companies face a more dynamic, uncertain, and complex market …
this new environment, companies face a more dynamic, uncertain, and complex market …
A novel framework of credit risk feature selection for SMEs during industry 4.0
With the development of industry 4.0, the credit data of SMEs are characterized by a large
volume, high speed, diversity and low-value density. How to select the key features that …
volume, high speed, diversity and low-value density. How to select the key features that …
Why do organizations leverage social media to create business value? An external factor-centric empirical investigation
Why do organizations develop and execute social media initiatives to create business
value? This study addresses this prominent and critical research question for IS research on …
value? This study addresses this prominent and critical research question for IS research on …
A privacy-preserving decentralized credit scoring method based on multi-party information
With society's wide-scale adoption of information technology, significant information about
borrowers is distributed across various parties, information that can be jointly used to …
borrowers is distributed across various parties, information that can be jointly used to …
Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability
MS Uddin, G Chi, MAM Al Janabi… - International Journal of …, 2022 - Wiley Online Library
This paper applies the Random Forest (RF) method for the robust modelling of credit default
prediction. This technique has been proven as an efficient classifier and can provide better …
prediction. This technique has been proven as an efficient classifier and can provide better …
Technology for social good foundations: A perspective from the smallholder farmer in sustainable supply chains
The livelihood of smallholder farmers in emerging economies' cocoa supply chain is
substandard because of fraud, exploitation, corruption, deceit, child labor, and financial …
substandard because of fraud, exploitation, corruption, deceit, child labor, and financial …