Psychosocial Risk Management

• Autor(a) principal: Fernandes, Ana
• Data de Publicação: 2020
• Outros Autores: Figueiredo, Margarida, Ávidos, Liliana, Ribeiro, Jorge, Vicente, Dinis, Neves, José, Vicente, Henrique
• 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
• topic: Psychosocial Risk Management; Entropy; Knowledge Representation and Reasoning; Logic Programming; Artificial Neural Networks

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.