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Theoretical Paper

Technology credit scoring model considering both SME characteristics and economic conditions: The Korean case

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Pages 666-675 | Received 01 May 2008, Accepted 01 Nov 2008, Published online: 21 Dec 2017

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Read on this site (6)

Yonghan Ju & So Young Sohn. (2015) Stress test for a technology credit guarantee fund based on survival analysis. Journal of the Operational Research Society 66:3, pages 463-475.
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S Y Sohn, M K Doo & Y H Ju. (2012) Pattern recognition for evaluator errors in a credit scoring model for technology-based SMEs. Journal of the Operational Research Society 63:8, pages 1051-1064.
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T H Moon & S Y Sohn. (2011) Survival analysis for technology credit scoring adjusting total perception. Journal of the Operational Research Society 62:6, pages 1159-1168.
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T H Moon, Y Kim & S Y Sohn. (2011) Technology credit rating system for funding SMEs. Journal of the Operational Research Society 62:4, pages 608-615.
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So Young Sohn & Hyejin Jeon. (2010) Competing Risk Model for Technology Credit Fund for Small and Medium‐Sized Enterprises. Journal of Small Business Management 48:3, pages 378-394.
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Hamid Cheraghali & Peter Molnár. SME default prediction: A systematic methodology-focused review. Journal of Small Business Management 0:0, pages 1-59.
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Yonghan Ju & So Young Sohn. (2017) Technology Credit Scoring Based on a Quantification Method. Sustainability 9:6, pages 1057.
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김상봉, 심기준, 김재진, 조경준 & Si Eon Kim. (2017) A Study on Methodologies for Technology Rating System. The Credit Card Review 11:1, pages 41-68.
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Zhen Zhen Ma & Jianjun Zhu. (2016) An uncertain pure linguistic approach on evaluation of enterprise integrity based on grey information. Grey Systems: Theory and Application 6:3, pages 353-364.
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Dong ha Kim & So Young Sohn. (2016) Fuzzy analytic hierarchy process applied to technology credit scorecard considering entrepreneurs’ psychological and behavioral attributes. Journal of Intelligent & Fuzzy Systems 30:4, pages 2349-2364.
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Yonghan Ju, Song Yi Jeon & So Young Sohn. (2015) Behavioral technology credit scoring model with time-dependent covariates for stress test. European Journal of Operational Research 242:3, pages 910-919.
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A.I. Irimia-Dieguez, A. Blanco-Oliver & M.J. Vazquez-Cueto. (2015) A Comparison of Classification/Regression Trees and Logistic Regression in Failure Models. Procedia Economics and Finance 26, pages 23-28.
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A.I. Irimia-Dieguez, A. Blanco-Oliver & M.J. Vazquez-Cueto. (2015) A Comparison of Classification/Regression Trees and Logistic Regression in Failure Models. Procedia Economics and Finance 23, pages 9-14.
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Yong Han Ju & So Young Sohn. (2014) Updating a credit-scoring model based on new attributes without realization of actual data. European Journal of Operational Research 234:1, pages 119-126.
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In Seok Heo, So Young Sohn & Eun Jeong Ji. (2013) Effects of the matching fund program on IPO and bankruptcy of SMEs in Korea. Small Business Economics 42:1, pages 117-129.
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So Young Sohn & Yoon Seong Kim. (2012) Behavioral credit scoring model for technology-based firms that considers uncertain financial ratios obtained from relationship banking. Small Business Economics 41:4, pages 931-943.
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Nebojsa Nikolic, Nevenka Zarkic-Joksimovic, Djordje Stojanovski & Iva Joksimovic. (2013) The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements. Expert Systems with Applications 40:15, pages 5932-5944.
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Dae Cheol Kim, Jae Bum Kim & Keun Tae Cho. (2013) An Improved Technology Appraisal Model Considering Macroeconomic Variable : A Case of KOTEC. Korean Management Science Review 30:2, pages 117-132.
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So Young Sohn & Ji Won Kim. (2012) Decision tree-based technology credit scoring for start-up firms: Korean case. Expert Systems with Applications 39:4, pages 4007-4012.
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fatemeh zare & Mohammad Mehdi lotfi. (2022) A Bayesian Belief Network and Genetic Algorithm to Valuing Startups and Knowledge-Based Firms for Scale-Up Fundraising Rounds. SSRN Electronic Journal.
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