کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1010314 1482517 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری استراتژی و مدیریت استراتژیک
پیش نمایش صفحه اول مقاله
Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model
چکیده انگلیسی

Using financial variables as predictors, this study developed logistic regression and artificial neural network (ANN) models to predict business failures for Korean lodging firms. While both models demonstrated comparable Type I errors, the ANN model showed considerably lower Type II errors for both in-sample and hold-out sample predictions. This study also found that interest coverage is the most important signal of business failure for the Korean hotel industry. This ratio is directly related to the hotel's solvency, ability to service debts and productivity of profits and can thus be regarded as a survival indicator of Korean hotel firms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hospitality Management - Volume 29, Issue 1, March 2010, Pages 120–127
نویسندگان
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