Identifying Chinese hospitality firm failures and differences from results on developed countries: Significant variables and predictive models

Proceedings of the 2012 5th International Conference on Business Intelligence and Financial Engineering, BIFE 2012

Volumn , Issue , 2012, Pages 297-302

  Li, Hui ^a   Huang, Hai Bin ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Chinese hospitality industry; Firm failure prediction; K times hold out method; Support vector machine

Indexed keywords

COVERAGE RATIO; DEVELOPED COUNTRIES; FAILURE PREDICTION; FINANCIAL RATIOS; HOSPITALITY INDUSTRY; K-TIMES HOLD-OUT METHOD; OPTIMAL VARIABLES; PREDICTIVE MODELS; STATISTICAL MODELS; WORKING CAPITALS;

DEVELOPING COUNTRIES; SUPPORT VECTOR MACHINES;

INDUSTRY;

EID: 84868098397     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIFE.2012.69     Document Type: Conference Paper

References (6)

1. L.I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms, Wiley, 2004.
2. Z. Gu, "Analyzing bankruptcy in the restaurant industry: A multiple discriminant model, " Intentional Journal of Hospitality Management vol. 21, 2002, pp. 25-42.
3. H. Kim., Z. Gu, "Predicting restaurant bankruptcy: A logit model in comparison with a discriminant model, " Journal of Hospitality & Tourism Research, vol. 14, 2006a, pp. 474-493.
4. H. Youn, Z. Gu, "Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model, " International Journal of Hospitality Management, vol. 29, 2010a, pp. 120-127.
5. H. Youn, Z. Gu, "Predict US restaurant firm failures: The artificial neural network model versus logistic regression model, " Tourism and Hospitality Research, vol. 10, 2010b, pp. 1-17.
6. Kim, H., Gu, Z., 2006b. A logistic regression analysis for predicting bankruptcy in the hospitality industry. The Journal of Hospitality Financial Management 14 (1), 17-34.