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Analysis of Business Performance of Local SMEs Based on Various Alternative Information and Corporate SCORE Index

융합경영연구 / The Journal of Economics, Marketing and Management, (E)2288-7709
2022, v.10 no.3, pp.21-36
https://doi.org/https://doi.org/10.20482/jemm.2022.10.3.21
HWANG, Sun Hee (Hyosung ITX)
KIM, Hee Jae (Department of Business Administration, Ewha Womans University)
KWAK, Dong Chul (Department of Chinese Business and Economics, Hannam University)
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Abstract

Purpose: The purpose of this study is to compare and analyze the enterprise's score index calculated from atypical data and corrected data. Research design, data, and methodology: In this study, news articles which are non-financial information but qualitative data were collected from 2,432 SMEs that has been extracted "square proportional stratification" out of 18,910 enterprises with fixed data and compared/analyzed each enterprise's score index through text mining analysis methodology. Result: The analysis showed that qualitative data can be quantitatively evaluated by region, industry and period by collecting news from SMEs, and that there are concerns that it could be an element of alternative credit evaluation. Conclusion: News data cannot be collected even if one of the small businesses is self-employed or small businesses has little or no news coverage. Data normalization or standardization should be considered to overcome the difference in scores due to the amount of reference. Furthermore, since keyword sentiment analysis may have different results depending on the researcher's point of view, it is also necessary to consider deep learning sentiment analysis, which is conducted by sentence.

keywords
Credit Rating, Alternative Credit Rating, COVID-19 Impact, Text Mining, Sentiment Analysis, Sentiment Index

융합경영연구