원문정보
Evaluation of Prediction Power for Distress Prediction Model in Food Service Industry by Discriminant Analysis
초록
영어
This study aims to; first, develop distress prediction model for the food service industry in Korea by using discriminant analysis, second, evaluate distress prediction capacity for the food service industry. The sample collected from year 2017 14 financial ratios of 46 food service enterprise in Korea, analyze these by t-test, and choose independent variables which, empirical study, evaluate distress prediction model by discriminant analysis. The verification result of the accuracy estimated by discriminant analysis indicates that the distress prediction model’s distress prediction capacity is 84.8%. To extract the factors that differentiate the top from the failed food service enterprise among the 14 chosen, t-test was utilized by independent variables and discriminant analysis used. As a result, 7 variables were statistically significant and are included in the discriminant analysis for discernment of top and failed food service enterprise.
목차
Ⅰ. 서론
Ⅱ. 이론적 고찰
1. 경영성과지표
2. 부실예측 선행연구 고찰
Ⅲ. 연구설계
1. 분석대상 표본기업 선정
2. 분석대상 표본 재무비율 선정
3. 변수 및 기업집단 선정
4. 분석방법
Ⅳ. 실증분석
1. 표본 검정 결과
2. 판별분석 적용결과
Ⅴ. 결론
1. 연구결과 요약 및 시사점
2. 연구의 한계 및 향후 연구 방향
참고문헌