English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

vivat academia

Características influyentes en la siniestralidad laboral en establecimientos hoteleros de Andalucía / Influential characteristics in workplace of hotel establishments of Andalucian