An Analysis of Factors Affecting Credit Scoring Performance in Smes
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ege Univ, Fac Economics & Admin Sciences
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In small and medium enterprises (SMEs), both financial and non-financial indicators related to the company and the large shareholder have significant effects on credit scores. This study explores the hybrid nature of SME credit scoring systems by developing an SME credit scoring model with general indicators, financial indicators and intelligence indicators related to the company and the major shareholder. This study is the first to explore the effect of intelligence indicators in credit scoring. It used regression analysis to evaluate real data from 125 SMEs operating in Turkey. Of 17 independent variables, 9 had statistically significant relationships with SME credit scores. The paper includes a comprehensive discussion of the implications of these findings.
Description
Keywords
Credit Scoring, Small and Medium Enterprises (SMEs), Multiple Regression, Intelligence Indicators, Risk, İşletme, Credit Scoring;Small and Medium Enterprises (SMEs);Multiple Regression, Business Administration
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q4
Scopus Q
N/A

OpenCitations Citation Count
N/A
Source
Ege Academıc Revıew
Volume
19
Issue
2
Start Page
159
End Page
171
PlumX Metrics
Captures
Mendeley Readers : 29
Web of Science™ Citations
2
checked on Mar 20, 2026
Page Views
3
checked on Mar 20, 2026
Google Scholar™

OpenAlex FWCI
0.898
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


