References
- Altman, E. I.(1968), Financial Ratios, Discriminant Analysis and Prediction of Corporate Bankruptcy, Journal of Finance, 23(4), 589-609. https://doi.org/10.1111/j.1540-6261.1968.tb00843.x
- Altman, E. I., Eom, Y. H. & Kim, D. W.(1994), Distress Classification of Korean Firms, New York University, working paper series, FD-94-2, 1-38.
- Altman, E. I. & Hotchkiss, E.(2005), Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt, 3rd Edition, Joniley & Sons Inc., Hoboken, New Jersey, 3-6.
- Altman, E. I. & McGough, T. P.(1974), Evaluation of a Company as a Going Concern, Journal of Accounting, 138(6), 50-57.
- Back, B., Laitinen, T. & Sere, K.(1996), Neural Networks and Genetic Algorithms For Bankruptcy Predictions, Expert Systems With Applications, 11(4), 407-413 https://doi.org/10.1016/S0957-4174(96)00055-3
- Bae, K. S. & Jung, S. H.(2011), An empirical study on the prediction model of the delisted firms, Tax Accounting Research. 30. 125-140.
- Beaver, W. H.(1966), Financial Ratios as Predictors of Failure, Journal of Accounting Research, 4(3), 71-111.
- Bhandari, S. B. & Iyer, R.(2013), Predicting Business Failure Using Cash Flow Statement Based Measures, Managerial Finance, 39(7), 667-676. https://doi.org/10.1108/03074351311323455
- Chae, S. I.(2008), Social Science Search Methodology. Seoul : B&M Books press.
- Choi, T. S., Kim, H. K. & Kim, S. H.(2002), A Comparison of the Discrimination of Business Failure prediction Models, Journal of the Korean OR and MS Society, 27(2), 1-13.
- Craig, A., Aleda, V., Bharath, G., Atanu, C., Jack, M., Tim, H. & Michelle, D.(2013), 2013 Global Manufacturing Competitiveness Index, NY, Deloitte Touche Tomatsu Limited and U.S. Council on Competitiveness, Retrieved Jan 1, 2014 from https://www.deloitte.com/assets/Dcom-Mexico/Local%20Assets/Documents/mx(en-mx)Global_Manufacturing_Competitiveness2013.pdf
- Deakin, E. B.(1972), A Discriminant Analysis of Predictors of Business Failure, Journal of Accounting Research, 10(1), 167-179. https://doi.org/10.2307/2490225
- Han, H. N.(2006), A Comparative Study on the Predictability of Bankruptcy Model : Artificial Neural Networks Model and Logistics Regression Model", Management includes, Management Research Center of Inha University, 11(1), 215-236.
- Heo, M. H. & Lee, Y. K.(2008), Data Mining Modeling and Case, Seoul : Hannare Press.
- Hwang, S. H.(1991), A Study on Corporate Failure Prediction, Korean Accounting Review, 12(7), 57-78.
- Issah, M.(2012), Predicting Corporate Failure of UK's Listed Companies Comparing Multiple Discriminant Ananlysis and Logistic Regression, Lap LaMBERT Academic Publishing, 32-68.
- Jang, Y. K.(2012), Business Analysis, Seoul: Trading Management Sa Press.
- Jeong, Y. S.(2003), A Neural Network Model for Bankruptcy Prediction, Doctoral dissertation, Kyung Hee University.
- Jeon, S. B. & Kim, M. C.(2000), Reality and Theory on Business Failure, Seoul: Dasan Publishing Company.
- Jo, Q. G.(2005), A study on the prediction models of corporate failure, Master's thesis, Dong-Eui University.
- Jo, Y. J., Heo, J. & Choi, I. K.(1999), Data Mining Neural Network Analysis, Seoul : SPAA academy Press.
- Jun, H. W., Chung, Y. H. & Shin, D. H.(2011), A Study on the Failure Prediction Model of Delisting Firms, Korea International Accounting Review, 38(8), 331-362.
- Jung, K. W.(2014), A Study on the default prediction model of SMES after supporting the credit guarantee, Masters's thesis, Hanyang University.
- Kang, H. C., Choi, H. S. & Han, S. T.(2010), Introduction to SPSS Data Analysis. Paju: Jayou Academy.
- Kim, C. K. & Kim, S. H.(1998), The Business Failure Prediction Model of Small and Medium-sized Firms, Paichai University, Journal of Social Science Research 17, 111-132.
- Kim, G. C.(2011), A study on corporate failure predictions by using audit opinions and accounting firm's characteristics, Doctoral dissertation, Soongsil University.
- Kim, M. J. & Kang, D. K.(2010), An Empirical Analysis of Boosting Neural Networks for Bankruptcy Prediction, Journal of the Korea Institute of marine Information and Communication Engineering, 14(1),63-69. https://doi.org/10.6109/jkiice.2010.14.1.063
- Kim, S. Y.(2006), Prediction of Hotel Bankruptcy Using Multi-variate Discriminant Analysis, Logistic Regression and Artificial Neural Network, Journal of tourism sciences, 30(2), 53-75.
- Kim, W. K. & Ban, S. S.(1990), A Study on Muti-variate Firm's Fail Prediction Model: Focus on MDA, Logit and Non-parametric Model, Journal of Management Research. 1. 5-36.
- Kueon, S. I.(2012), Corporate Credit Analysis, Seoul: Korea banking Institute press.
- Kwon, K. S., Kim, B. J. & Ha, K. S.(2012), An Exploratory Study of Key Success Factors in Public R&D Institutions' Business Supporting Service, Asia-Pacific Journal of Business Venturing and Entrepreneurship, 7(1). 225-232. https://doi.org/10.16972/apjbve.7.1.201203.225
- Lee, K, C.(1993), A Comparative Study on the Bankruptcy Prediction Power of Statistical Model and AI Models : MDA, Inductive Learning, Neural Network, Journal of the Korean OR and MS Society, 18(2), 57-81.
- Moon, J. G. & Hwangbo, Y.(2014), An Empirical study on a Firm's Fail Prediction Model by Considering whethere there are Embezzlement, Malpractice and the Largest Shareholder Changes or not, Asia-Pacific Journal of Business Venturing and Entrepreneursip, 9(1), 119-132.
- Nam, J. H.(1998), The Cause of Business's Failure and the Analysis of the Bankruptcy Prediction Model, Journal of Money & Finance 12(2), 77-107.
- Odom, M & Sharda, R.(1990), A neural networks model for bankruptcy prediction, Proceedings of the IEEE internation Conference on Neural Networks, 2, 163-168.
- Oh, H. J.(2005), Usefulness of Credit Rating in the Bankruptcy Prediction Model, Journal of Economic Studies, 23(2), 173-208.
- Ohlson. J. A.(1980), Financial Ratios and the Probabilistic Prediction of Bankruptcy, Journal of Accounting Research, 18(1), 109-131. https://doi.org/10.2307/2490395
- Park, H. J.(2008), An empirical study on the failure prediction model of the firms listed on the kosdaq, Doctoral dissertation, Paichai University.
- Park, S. E.(2002), Multi-variate Discriminant Analysis and Logistic Regression Analysis, Seoul: Minyoung Sa Press.
- Razali, N. M. & Wah, Y. B.(2011), Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests, Journal of Statistical Modeling and Analytics, 2(1), 21-33.
- Sarah, A. & Shahriar, M.(2011), Compare failure prediction nodels based on feature selection technique: Empirical case from Iran, Procedia Computer Science, 3, 568-573. https://doi.org/10.1016/j.procs.2010.12.094