Loading...
Publication
Psychosocial risk management
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 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. | 544.92 KB | Adobe PDF |
Advisor(s)
Abstract(s)
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.
Description
Conference name - 24th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2020;
Conference city - Virtual Online; Conference date - 16 September 2020 - 18 September 2020; Conference code - 163593
Keywords
Psychosocial Risk Management Entropy Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks
Pedagogical Context
Citation
Ana Fernandes, Margarida Figueiredo, Liliana Ávidos, Jorge Ribeiro, Dinis Vicente, José Neves, Henrique Vicente, Psychosocial risk management, Procedia Computer Science, Volume 176, 2020, Pages 743-752, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.09.069.
Publisher
Elsevier