Influential characteristics in workplace of hotel establishments of Andalucian
Article Sidebar
Main Article Content
Abstract
The method allowed us to identify the size variables of the company, education level and space to work as the variables predictors of accidents. This paper aims to show the most predictive variables of accidents in the hotel world of the city of Malaga. The methodology used is logistic regression, using as source of information the survey by UGT Malaga, all workers of the tourism sector of the province limited to the study of the hotel industry. The main result shows that the company size, the schooling level and the work space for workers have an accident-predicting role.
Downloads
Metrics
Article Details
The main author must deliver the letter of transfer of copyright, according to the model provided by Vivat Academia, Revista de comunicación, which declares the transfer of copyright to the journal and make explicit the rights of authors regarding the dissemination and use of the manuscript once published.
Creative Commons Attribution/Non Commercial 4.0 International
References
Agencia Europea para la Seguridad y la Salud en el Trabajo. (2015). Recuperado de: http://osha.eu.int/OSHA
Ayçaguer, L. C. S. (1994). Excursión a la regresión logística en ciencias de la salud. Madrid: Ediciones Díaz de Santos.
Instituto de Estudios Turísticos (IET). (2015). Recuperado de: http://www.iet.tourspain.es
Instituto Nacional de Estadística (INE). (2015). Recuperado de: http://www.ine.es
Jovell, A. J. (1995). Análisis de regresión logística. Madrid: Centro de Investigaciones Sociológicas.
Lanzadera, E. (2002). La prevención de riesgos laborales en el contexto internacional y en la Unión Europea: fuentes. Notas técnicas. Madrid: UDIMA.
Saarela, K.L. (1989). A poster campaign for improving safety on shipyard scaffolds. Journal of Safety Research, 20, 177-185.
Steyerberg, E., Eijkemans M., Habbema J. (1999). Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis. Journal of Clinical Epidemiology, 52, 935-42.