Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/303832 
Year of Publication: 
2022
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 10 [Issue:] 1 [Article No.:] 2132638 [Year:] 2022 [Pages:] 1-18
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
This study aims to track the structural development of academic research on credit risk assessment and big data using bibliometric analysis. The bibliography is obtained from the Scopus database and contains all studies with citations published between 2012 and 2021. The study's findings suggest that credit risk assessment and big data are vast fields that have increased significantly in the last nine years. Chinese researchers and organizations contributed the most to the documents. The current study concludes that several possibilities exist to improve the knowledge of credit risk assessment and big data.
Subjects: 
bibliometric
big data
credit risk
network mapping
risk assessment
JEL: 
C89
G32
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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