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Title: Psychosocial Risk Management
Authors: Fernandes, Ana
Figueiredo, Margarida
Ávidos, Liliana
Ribeiro, Jorge
Vicente, Dinis
Neves, José
Vicente, Henrique
Keywords: Psychosocial Risk Management
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
Issue Date: 2020
Publisher: Elsevier
Citation: Fernandes, A., Figueiredo, M., Ávidos, L., Ribeiro, J., Vicente, D., Neves, J. & Vicente, H., Psychosocial Risk Management. Procedia Computer Science, 176, 743–752, 2020.
Abstract: 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.
ISSN: 1877-0509 (paper)
1877-0509 (electronic)
Type: article
Appears in Collections:CIEP - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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