An Analysis of Factors Affecting Credit Scoring Performance in Smes

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Date

2019

Authors

Saygılı, Arıkan Tarık

Journal Title

Journal ISSN

Volume Title

Publisher

Ege Univ, Fac Economics & Admin Sciences

Open Access Color

GOLD

Green Open Access

Yes

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Publicly Funded

No
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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
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OpenCitations Citation Count
N/A

Source

Ege Academıc Revıew

Volume

19

Issue

2

Start Page

159

End Page

171
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Mendeley Readers : 29

Web of Science™ Citations

2

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3

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0.898

Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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