Psychosocial Risks Assessment in Cryopreservation Laboratories
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/28648 https://doi.org/10.1016/j.shaw.2020.07.003 |
Resumo: | Psychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation environment. The update of this normative reference was intended to approximate OHSAS 18001:2007 reference updated in 2018 with the publication of ISO 45001. Thus, the organizations are increasingly committed to achieving and demonstrating good occupational health and safety performance. The aim of this study was to characterize the psychosocial risks in a cryopreservation laboratory and to develop a predictive model for psychosocial risk management. The methodology followed to collect the information was the inquiry by questionnaire that was applied to a sample comprising 200 employees. The results show that most of the respondents are aware of the psychosocial risks, identifying interpersonal relationships and emotional feelings as the main factors that lead to this type of risks. Furthermore, terms such as lack of resources, working hours, lab equipment, stress, and precariousness show strong correlation with psychosocial risks. The model presented in this study, based on artificial neural networks, exhibited good performance in the prediction of the psychosocial risks. Conclusion: This work presents the development of an intelligent system that allows identifying the weaknesses of the organization and contributing to the enhancement of the psychosocial risks management. |
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Psychosocial Risks Assessment in Cryopreservation LaboratoriesArtificial Neural NetworksCryopreservation LaboratoriesHealth and Safety ManagementPsychosocial RiskRisk AssessmentPsychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation environment. The update of this normative reference was intended to approximate OHSAS 18001:2007 reference updated in 2018 with the publication of ISO 45001. Thus, the organizations are increasingly committed to achieving and demonstrating good occupational health and safety performance. The aim of this study was to characterize the psychosocial risks in a cryopreservation laboratory and to develop a predictive model for psychosocial risk management. The methodology followed to collect the information was the inquiry by questionnaire that was applied to a sample comprising 200 employees. The results show that most of the respondents are aware of the psychosocial risks, identifying interpersonal relationships and emotional feelings as the main factors that lead to this type of risks. Furthermore, terms such as lack of resources, working hours, lab equipment, stress, and precariousness show strong correlation with psychosocial risks. The model presented in this study, based on artificial neural networks, exhibited good performance in the prediction of the psychosocial risks. Conclusion: This work presents the development of an intelligent system that allows identifying the weaknesses of the organization and contributing to the enhancement of the psychosocial risks management.Elsevier2021-01-08T12:45:46Z2021-01-082020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28648http://hdl.handle.net/10174/28648https://doi.org/10.1016/j.shaw.2020.07.003engFernandes, A., Figueiredo, M., Ribeiro, J., Neves, J. & Vicente, H., Psychosocial Risks Assessment in Cryopreservation Laboratories. Safety and Health at Work, 11, 431–442, 2020.https://www.sciencedirect.com/science/article/pii/S20937911203030732093-7911 (paper)2093-7997 (electronic)CIEPanavilafernandes@gmail.commtf@uevora.ptjribeiro@estg.ipvc.ptjneves@uevora.pthvicente@uevora.ptFernandes, AnaFigueiredo, MargaridaRibeiro, JorgeNeves, JoséVicente, Henriqueinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:24:15Zoai:dspace.uevora.pt:10174/28648Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:05.525927Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
title |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
spellingShingle |
Psychosocial Risks Assessment in Cryopreservation Laboratories Fernandes, Ana Artificial Neural Networks Cryopreservation Laboratories Health and Safety Management Psychosocial Risk Risk Assessment |
title_short |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
title_full |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
title_fullStr |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
title_full_unstemmed |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
title_sort |
Psychosocial Risks Assessment in Cryopreservation Laboratories |
author |
Fernandes, Ana |
author_facet |
Fernandes, Ana Figueiredo, Margarida Ribeiro, Jorge Neves, José Vicente, Henrique |
author_role |
author |
author2 |
Figueiredo, Margarida Ribeiro, Jorge Neves, José Vicente, Henrique |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Fernandes, Ana Figueiredo, Margarida Ribeiro, Jorge Neves, José Vicente, Henrique |
dc.subject.por.fl_str_mv |
Artificial Neural Networks Cryopreservation Laboratories Health and Safety Management Psychosocial Risk Risk Assessment |
topic |
Artificial Neural Networks Cryopreservation Laboratories Health and Safety Management Psychosocial Risk Risk Assessment |
description |
Psychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation environment. The update of this normative reference was intended to approximate OHSAS 18001:2007 reference updated in 2018 with the publication of ISO 45001. Thus, the organizations are increasingly committed to achieving and demonstrating good occupational health and safety performance. The aim of this study was to characterize the psychosocial risks in a cryopreservation laboratory and to develop a predictive model for psychosocial risk management. The methodology followed to collect the information was the inquiry by questionnaire that was applied to a sample comprising 200 employees. The results show that most of the respondents are aware of the psychosocial risks, identifying interpersonal relationships and emotional feelings as the main factors that lead to this type of risks. Furthermore, terms such as lack of resources, working hours, lab equipment, stress, and precariousness show strong correlation with psychosocial risks. The model presented in this study, based on artificial neural networks, exhibited good performance in the prediction of the psychosocial risks. Conclusion: This work presents the development of an intelligent system that allows identifying the weaknesses of the organization and contributing to the enhancement of the psychosocial risks management. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01T00:00:00Z 2021-01-08T12:45:46Z 2021-01-08 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/28648 http://hdl.handle.net/10174/28648 https://doi.org/10.1016/j.shaw.2020.07.003 |
url |
http://hdl.handle.net/10174/28648 https://doi.org/10.1016/j.shaw.2020.07.003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Fernandes, A., Figueiredo, M., Ribeiro, J., Neves, J. & Vicente, H., Psychosocial Risks Assessment in Cryopreservation Laboratories. Safety and Health at Work, 11, 431–442, 2020. https://www.sciencedirect.com/science/article/pii/S2093791120303073 2093-7911 (paper) 2093-7997 (electronic) CIEP anavilafernandes@gmail.com mtf@uevora.pt jribeiro@estg.ipvc.pt jneves@uevora.pt hvicente@uevora.pt |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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