2022
DOI: 10.1155/2022/4766597
|View full text |Cite|
|
Sign up to set email alerts
|

A Machine Learning Algorithm for Supplier Credit Risk Assessment Based on Supply Chain Management

Abstract: In today’s complex and ever-changing world, a distribution network in lending impact analysis is an evaluation of a client’s procedures, rules, and financial well-being to evaluate as considerable risk and it provides to the contracting company. A creditor’s capability to pay the current lender’s obligations is considered while doing a lender’s threat assessment. Traditionally, it refers to the concern that the borrower may not be able to collect the sequence and interest. The challenges in lenders’ threat ass… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 28 publications
0
4
0
Order By: Relevance
“…A further contribution in the article [114,115] provides a dynamic and self-adapting supply chain system that AI, ML, and genuine expertise drive4. This strategy intends to create a blueprint for Industry 4.0 supply chains of small and medium-sized businesses (SMEs), who frequently do not have the assets to manage digital security risks successfully.…”
Section: Attacks By Supply-chainmentioning
confidence: 99%
See 1 more Smart Citation
“…A further contribution in the article [114,115] provides a dynamic and self-adapting supply chain system that AI, ML, and genuine expertise drive4. This strategy intends to create a blueprint for Industry 4.0 supply chains of small and medium-sized businesses (SMEs), who frequently do not have the assets to manage digital security risks successfully.…”
Section: Attacks By Supply-chainmentioning
confidence: 99%
“…Numerous investigations primarily focus on supply chain attack risk prevention strategies. [112][113][114][115][116].…”
Section: Attacks By Supply-chainmentioning
confidence: 99%
“…Small businesses are particularly vulnerable to bad debts and financial instability because of the particular challenges associated with managing a diversified client base and transactions. Traditional risk assessment techniques, which need vast amounts of data, are insufficient in this complicated environment [1]. Examine the exciting subject of machine learning and ask us to imagine a simple program that could predict potential defaults with remarkable accuracy using massive quantities of customer behavior data.…”
Section: Introductionmentioning
confidence: 99%
“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”
mentioning
confidence: 99%