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Projeto de investigação
ALGORITMI Research Center
Financiador
Autores
Publicações
Psychosocial risk management
Publication . Fernandes, Ana; Figueiredo, Margarida; Ávidos, Liliana; Ribeiro, Jorge; Vicente, Dinis; Neves, José; Vicente, Henrique
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.
A Thermodynamic Assessment of the Cyber Security Risk in Healthcare Facilities
Publication . Fernandes, Filipe; Alves, Victor; Machado, Joana; Miranda, Filipe; Vicente, Dinis; Ribeiro, Jorge; Vicente, Henrique; Neves, José
Over the last decades a number of guidelines have been proposed for best practices, frameworks, and cyber risk assessment in present computational environments. In order to improve cyber security vulnerability, in this work it is proposed and characterized a feasible methodology for problem solving that allows for the evaluation of cyber security in terms of an estimation of its entropic state, i.e., a predictive evaluation of its risk and vulnerabilities, or in other words, the cyber security level of such ecosystem. The analysis and development of such a model is based on a line of logical formalisms for Knowledge Representation and Reasoning, consistent with an Artificial Neural Networks approach to computing, a model that considers the cause behind the action.
Process Mining for IS Project Success Factors Management: A proposal
Publication . Pedrosa, Joana; Varajão, João; Magalhaes, Luis Gonzaga; Martinho, Ricardo
Research on Success Factors (SF) of Information Systems (IS) projects carried out over the last decades has resulted in a vast literature. However, extant studies typically aim to identify and list generic SF for projects, denoting a static perspective, with few concerns of practical nature regarding their use as management tools to support decisions throughout the projects’ lifecycle. On the other hand, process mining has been used to discover, analyze, and improve project management processes. In this paper, we propose a new approach that involves relating the performance of those processes with SF in IS projects. By using process mining, the aim is to automatically extract and manage SF in projects, measure processes performance, and provide project managers with information on how SF correlate with performance. This will provide managers with enhanced information regarding status and improvement opportunities for current and future projects. The main purpose is to contribute to the project management theory and practice by providing a decision support system that can associate performance with IS projects’ SF automatically obtained from internal and external data sources.
Unidades organizacionais
Descrição
Palavras-chave
Information Systems, Computing Technologies,Electronics, Energy, Robotics,Operational Research, Industrial Eng & Management,Computer Networks, Pervasive Computing, Exact sciences
Contribuidores
Financiadores
Entidade financiadora
Fundação para a Ciência e a Tecnologia, I.P.
Programa de financiamento
Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
Número da atribuição
UIDB/00319/2020