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...

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Main Authors: JIANG, Cuiqing, YIN, Chang, TANG, Qian, WANG, Zhao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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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
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Institution: Singapore Management University
Language: English
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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
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