Psychosocial Risk Management
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/10174/28217 https://doi.org/10.1016/j.procs.2020.09.069 |
Resumo: | A number of guidelines for Psychosocial Risk Management in organizations have been proposed in recent decades; however, some reviews on the subject also highlights that the terms Stress and Psychosocial Risks (PRs) are not mentioned explicitly in most pieces of legislation, leading to lack of clarity on the terminology used. To improve the way of dealing with this type of vulnerability and to allow organizations to successfully manage PRs, this work proposes and characterizes a workable problem-solving method in which the PRs can be evaluated for the entropy they generate within the organization. The analysis and development of such a system is based on a series of logical formalisms for Knowledge Representation and Reasoning that are grounded on Logic Programming, complemented with an Artificial Neural Network approach to computing. |
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Psychosocial Risk ManagementPsychosocial Risk ManagementEntropyKnowledge Representation and ReasoningLogic ProgrammingArtificial Neural NetworksA number of guidelines for Psychosocial Risk Management in organizations have been proposed in recent decades; however, some reviews on the subject also highlights that the terms Stress and Psychosocial Risks (PRs) are not mentioned explicitly in most pieces of legislation, leading to lack of clarity on the terminology used. To improve the way of dealing with this type of vulnerability and to allow organizations to successfully manage PRs, this work proposes and characterizes a workable problem-solving method in which the PRs can be evaluated for the entropy they generate within the organization. The analysis and development of such a system is based on a series of logical formalisms for Knowledge Representation and Reasoning that are grounded on Logic Programming, complemented with an Artificial Neural Network approach to computing.Elsevier2020-10-23T11:38:40Z2020-10-232020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28217http://hdl.handle.net/10174/28217https://doi.org/10.1016/j.procs.2020.09.069engFernandes, A., Figueiredo, M., Ávidos, L., Ribeiro, J., Vicente, D., Neves, J. & Vicente, H., Psychosocial Risk Management. Procedia Computer Science, 176, 743–752, 2020.1877-0509 (paper)1877-0509 (electronic)https://authors.elsevier.com/sd/article/S1877-0509(20)31964-5CIEPanavilafernandes@gmail.commtf@uevora.ptliliana.avidos@ipsn.cespu.ptjribeiro@estg.ipvc.ptdinisvicente98@gmail.comjneves@di.uminho.pthvicente@uevora.ptFernandes, AnaFigueiredo, MargaridaÁvidos, LilianaRibeiro, JorgeVicente, DinisNeves, 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:RCAAP2024-01-03T19:24:20Zoai:dspace.uevora.pt:10174/28217Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:07.676495Repositório 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 Risk Management |
title |
Psychosocial Risk Management |
spellingShingle |
Psychosocial Risk Management Fernandes, Ana Psychosocial Risk Management Entropy Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
title_short |
Psychosocial Risk Management |
title_full |
Psychosocial Risk Management |
title_fullStr |
Psychosocial Risk Management |
title_full_unstemmed |
Psychosocial Risk Management |
title_sort |
Psychosocial Risk Management |
author |
Fernandes, Ana |
author_facet |
Fernandes, Ana Figueiredo, Margarida Ávidos, Liliana Ribeiro, Jorge Vicente, Dinis Neves, José Vicente, Henrique |
author_role |
author |
author2 |
Figueiredo, Margarida Ávidos, Liliana Ribeiro, Jorge Vicente, Dinis Neves, José Vicente, Henrique |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Fernandes, Ana Figueiredo, Margarida Ávidos, Liliana Ribeiro, Jorge Vicente, Dinis Neves, José Vicente, Henrique |
dc.subject.por.fl_str_mv |
Psychosocial Risk Management Entropy Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
topic |
Psychosocial Risk Management Entropy Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
description |
A number of guidelines for Psychosocial Risk Management in organizations have been proposed in recent decades; however, some reviews on the subject also highlights that the terms Stress and Psychosocial Risks (PRs) are not mentioned explicitly in most pieces of legislation, leading to lack of clarity on the terminology used. To improve the way of dealing with this type of vulnerability and to allow organizations to successfully manage PRs, this work proposes and characterizes a workable problem-solving method in which the PRs can be evaluated for the entropy they generate within the organization. The analysis and development of such a system is based on a series of logical formalisms for Knowledge Representation and Reasoning that are grounded on Logic Programming, complemented with an Artificial Neural Network approach to computing. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-23T11:38:40Z 2020-10-23 2020-01-01T00:00:00Z |
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/10174/28217 http://hdl.handle.net/10174/28217 https://doi.org/10.1016/j.procs.2020.09.069 |
url |
http://hdl.handle.net/10174/28217 https://doi.org/10.1016/j.procs.2020.09.069 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Fernandes, A., Figueiredo, M., Ávidos, L., Ribeiro, J., Vicente, D., Neves, J. & Vicente, H., Psychosocial Risk Management. Procedia Computer Science, 176, 743–752, 2020. 1877-0509 (paper) 1877-0509 (electronic) https://authors.elsevier.com/sd/article/S1877-0509(20)31964-5 CIEP anavilafernandes@gmail.com mtf@uevora.pt liliana.avidos@ipsn.cespu.pt jribeiro@estg.ipvc.pt dinisvicente98@gmail.com jneves@di.uminho.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 |
dc.source.none.fl_str_mv |
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 |
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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) |
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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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1799136663427874816 |