Publication Type
Journal Article
Version
acceptedVersion
Publication Date
12-2023
Abstract
The official websites of small and medium-sized enterprises (SMEs) not only reflect the willingness of an enterprise to disclose information voluntarily, but also can provide information related to the enterprises’ historical operations and performance. This research investigates the value of official website information in the credit risk evaluation of SMEs. To study the effect of different kinds of website information on credit risk evaluation, we propose a framework to mine effective features from two kinds of information disclosed on the official website of a SME—design-based information and content-based information—in predicting its credit risk. We select the SMEs in the software and information technology services industry and find that including content-based information in models significantly improves the prediction accuracy. Specifically, the depth and dynamics metrics of the content-based information convey SME performance and mitigate the information asymmetry between SMEs and financial institutions.
Keywords
Credit risk, Information asymmetry, Official website, SMEs
Discipline
Asian Studies | Databases and Information Systems | Finance and Financial Management
Research Areas
Information Systems and Management
Publication
Journal of Business Research
Volume
169
First Page
1
Last Page
19
ISSN
0148-2963
Identifier
10.1016/j.jbusres.2023.114290
Publisher
Elsevier
Citation
JIANG, Cuiqing; YIN, Chang; TANG, Qian; and WANG, Zhao.
The value of official website information in the credit risk evaluation of SMEs. (2023). Journal of Business Research. 169, 1-19.
Available at: https://ink.library.smu.edu.sg/sis_research/8224
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.jbusres.2023.114290
Included in
Asian Studies Commons, Databases and Information Systems Commons, Finance and Financial Management Commons