Decision tree-based technology credit scoring for start-up firms: Korean case

So Young Sohn; Ji Won Kim

doi:10.1016/j.eswa.2011.09.075

Decision tree-based technology credit scoring for start-up firms: Korean case

So Young Sohn, Ji Won Kim

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

Abstract

Various types of Technology Credit Guarantees (TCGs) have been issued to support technology development of start-up firms. Technology evaluation has become a critical part of TCG system. However, general technology credit scoring models have not been applied reflecting the special phenomena of start-ups, which are distinguishable from those of established firms. Furthermore, somewhat complicated approaches have been applied to existing models. We propose a rather simple decision tree-based technology credit scoring for start-ups which can serve as a-replacement for the complicated models currently used for general purposes. Our result is expected to provide valuable information to evaluator for start-up firms.

Original language	English
Pages (from-to)	4007-4012
Number of pages	6
Journal	Expert Systems with Applications
Volume	39
Issue number	4
DOIs	https://doi.org/10.1016/j.eswa.2011.09.075
Publication status	Published - 2012 Mar

Bibliographical note

Funding Information:
This work (research) is financially supported by the Ministry of Knowledge Economy (MKE) and Korea Institute for Advancement in Technology (KIAT) through the Workforce Development Program in Strategic Technology.

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2011.09.075

Cite this

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abstract = "Various types of Technology Credit Guarantees (TCGs) have been issued to support technology development of start-up firms. Technology evaluation has become a critical part of TCG system. However, general technology credit scoring models have not been applied reflecting the special phenomena of start-ups, which are distinguishable from those of established firms. Furthermore, somewhat complicated approaches have been applied to existing models. We propose a rather simple decision tree-based technology credit scoring for start-ups which can serve as a-replacement for the complicated models currently used for general purposes. Our result is expected to provide valuable information to evaluator for start-up firms.",

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Decision tree-based technology credit scoring for start-up firms: Korean case

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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