지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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This study estimates the possibilities of hotel bankruptcy using various analytic methods such as multivariate discriminant model, logistic regression model and artificial neural network model. The estimated models suggest that debt-burned hotels with low profit margin and return on common stockholders’ equity are more likely to be candidates of bankruptcy. The analysis of in-model variables, along with a cross-group comparison of financial ratios, suggests that bankrupt hotels have heavily relied on debt to finance fast sales growth without paying proper attention to controlling their operating expenses and financing costs. Author suggests in conclusion that to avoid bankruptcy risk hoteliers are encouraged to adopt a prudent growth strategy accompanied by less debt financing and tighter cost control.
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