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<dc:title>Psychosocial and Ergonomic Conditions at Work: Influence on the Probability of a Workplace Accident</dc:title>
<dc:creator>López García, José Ramón</dc:creator>
<dc:creator>García Herrero, Susana</dc:creator>
<dc:creator>Gutiérrez Llorente, José Manuel</dc:creator>
<dc:creator>Mariscal Saldaña, Miguel Ángel</dc:creator>
<dc:subject>Organización del trabajo</dc:subject>
<dc:subject>Gestión de empresas</dc:subject>
<dc:subject>Methods engineering</dc:subject>
<dc:subject>Industrial management</dc:subject>
<dc:description>Today, the economic and social importance of occupational accidents is undeniable worldwide. Hence, research aimed at reducing&#xd;
this type of accident is considered a discipline of great interest for society in general. In this environment, working conditions play&#xd;
a fundamental role in the occurrence of accidents, and from their study, results can be obtained that provide information for&#xd;
decision-making that guarantee optimum conditions for the development of the employees’ tasks. Organizing the conditions of&#xd;
work execution is also a task that constitutes an essential aspect for a firm’s productivity, therefore, affecting their viability and&#xd;
results. In this work, a model is proposed for the study of different groups of working conditions and their influence on the&#xd;
probability of occupational accidents, in accordance with the data provided by the 7th National Survey of Working Conditions&#xd;
(VII NSWC). -e survey sampled 8892 workers active in all sectors of national production and is the last nation-wide survey&#xd;
administered in Spain. Bayesian networks (BNs) are used to generate a network that analyzes working conditions in all areas (27&#xd;
variables have been included in addition to those corresponding to the sector and accident), and then, more specifically, the&#xd;
relationship that is established between ergonomic factors in the workplace, psychosocial factors of the worker, and the probability&#xd;
of an accident. -e results are achieved through the network obtained by highlighting some of the proposed variables. -e&#xd;
dependencies generated by the chosen variables are analyzed, and subsequently, the probability of accident for each of the&#xd;
productive sectors is determined. It is concluded that the ergonomic risks associated with physical strains in the workplace,&#xd;
together with the lack of job satisfaction on the employer’s behalf, both pose a very significant increase in the probability of being&#xd;
involved in an occupational accident, above the other variables of study.</dc:description>
<dc:date>2020-04-16T19:00:20Z</dc:date>
<dc:date>2020-04-16T19:00:20Z</dc:date>
<dc:date>2019-11</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>2314-6133</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/5271</dc:identifier>
<dc:identifier>10.1155/2019/2519020</dc:identifier>
<dc:identifier>2314-6141</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>BioMed Research International. 2019, art. 2519020</dc:relation>
<dc:relation>https://doi.org/10.1155/2019/2519020</dc:relation>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Hindawi</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>