The value of official website information in the credit risk evaluation of SMEs
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 offici...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8224 https://ink.library.smu.edu.sg/context/sis_research/article/9227/viewcontent/Value_Official_website_Info_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-9227 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.sis_research-92272023-10-27T06:43:58Z The value of official website information in the credit risk evaluation of SMEs JIANG, Cuiqing YIN, Chang TANG, Qian WANG, Zhao 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. 2023-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8224 info:doi/10.1016/j.jbusres.2023.114290 https://ink.library.smu.edu.sg/context/sis_research/article/9227/viewcontent/Value_Official_website_Info_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Credit risk Information asymmetry Official website SMEs Asian Studies Databases and Information Systems Finance and Financial Management |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Credit risk Information asymmetry Official website SMEs Asian Studies Databases and Information Systems Finance and Financial Management |
spellingShingle |
Credit risk Information asymmetry Official website SMEs Asian Studies Databases and Information Systems Finance and Financial Management JIANG, Cuiqing YIN, Chang TANG, Qian WANG, Zhao The value of official website information in the credit risk evaluation of SMEs |
description |
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. |
format |
text |
author |
JIANG, Cuiqing YIN, Chang TANG, Qian WANG, Zhao |
author_facet |
JIANG, Cuiqing YIN, Chang TANG, Qian WANG, Zhao |
author_sort |
JIANG, Cuiqing |
title |
The value of official website information in the credit risk evaluation of SMEs |
title_short |
The value of official website information in the credit risk evaluation of SMEs |
title_full |
The value of official website information in the credit risk evaluation of SMEs |
title_fullStr |
The value of official website information in the credit risk evaluation of SMEs |
title_full_unstemmed |
The value of official website information in the credit risk evaluation of SMEs |
title_sort |
value of official website information in the credit risk evaluation of smes |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2023 |
url |
https://ink.library.smu.edu.sg/sis_research/8224 https://ink.library.smu.edu.sg/context/sis_research/article/9227/viewcontent/Value_Official_website_Info_av.pdf |
_version_ |
1781794001564729344 |