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Social Role in Organizational Management Understanding People Behavior and Motivation

2020-03-03Conference paper Open access
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datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
dc.contributor.authorMaia, Nuno
dc.contributor.authorNeves, Mariana
dc.contributor.authorBarbosa, Agostinho
dc.contributor.authorCarrulo, Bruno
dc.contributor.authorAraújo, Nuno
dc.contributor.authorFernandes, Ana
dc.contributor.authorVicente, Dinis
dc.contributor.authorRibeiro, Jorge
dc.contributor.authorVicente, Henrique
dc.contributor.authorNeves, José
dc.date.accessioned2025-10-15T14:50:44Z
dc.date.available2025-10-15T14:50:44Z
dc.date.issued2020-03-03
dc.descriptionEISBN - 9789811533808
dc.descriptionConference name - 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020; Conference date - 23 March 2020 - 26 March 2020; Conference code - 238259
dc.description.abstractThe aim of this work is to respond to the need to rethink the behavior and motivation of employees in their relationship with managers and social groups, i.e., one’s main goal is based on increasing engagement in order to reach organizational goals and job workers satisfaction, a complex concept that is influenced by different causes. Indeed, in this work it is analyzed the impact of working conditions on job satisfaction. This is where attention is drawn to the concept of entropy, since we are not focusing on the value a variable can take, but on the effort that has been expended to obtain it. The idea of entropy comes from a principle of thermodynamics dealing with energy. It usually refers to the idea that everything in the universe eventually moves from order to disorder, and entropy is the measurement of that change, that is used here to understand and assess the workers behavior and motivation. The subsequent formal model is based on a set of logical structures for knowledge representation and reasoning that conform to the above entropic view, then leading to an Artificial Neural Network approach to computation, an archetypal that considers the motive behind the action.eng
dc.description.sponsorshipThis work has been supported by national funds through FCT – Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2019 and UID/QUI/0619/2019.
dc.identifier.citationMaia, N. et al. (2020). Social Role in Organizational Management Understanding People Behavior and Motivation. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_46.
dc.identifier.doi10.1007/978-981-15-3380-8_46
dc.identifier.isbn9789811533792
dc.identifier.isbn9789811533808
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.urihttp://hdl.handle.net/10400.8/14277
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationALGORITMI Research Centre
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-981-15-3380-8_46
dc.relation.ispartofCommunications in Computer and Information Science
dc.relation.ispartofIntelligent Information and Database Systems
dc.rights.uriN/A
dc.subjectMotivation and Behavior
dc.subjectJob Satisfaction
dc.subjectEntropy
dc.subjectLogic Programming
dc.subjectKnowledge Representation and Reasoning
dc.subjectArtificial Neural Networks
dc.titleSocial Role in Organizational Management Understanding People Behavior and Motivationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Centre
oaire.awardURIhttp://hdl.handle.net/10400.8/14276
oaire.citation.conferenceDate2020-03
oaire.citation.conferencePlacePhuket, Thailand
oaire.citation.titleCommunications in Computer and Information Science
oaire.fundingStreamFinanciamento do Plano Estratégico de Unidades de I&D - 2019
oaire.versionhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43
person.familyNameVicente
person.givenNameDinis
person.identifier.orcid0000-0002-5856-1279
relation.isAuthorOfPublication5d972595-cb7a-47d3-a2b1-94e6c8840674
relation.isAuthorOfPublication.latestForDiscovery5d972595-cb7a-47d3-a2b1-94e6c8840674
relation.isProjectOfPublication5332dae8-24de-4374-b26a-bbdca38108af
relation.isProjectOfPublication.latestForDiscovery5332dae8-24de-4374-b26a-bbdca38108af

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The aim of this work is to respond to the need to rethink the behavior and motivation of employees in their relationship with managers and social groups, i.e., one’s main goal is based on increasing engagement in order to reach organizational goals and job workers satisfaction, a complex concept that is influenced by different causes. Indeed, in this work it is analyzed the impact of working conditions on job satisfaction. This is where attention is drawn to the concept of entropy, since we are not focusing on the value a variable can take, but on the effort that has been expended to obtain it. The idea of entropy comes from a principle of thermodynamics dealing with energy. It usually refers to the idea that everything in the universe eventually moves from order to disorder, and entropy is the measurement of that change, that is used here to understand and assess the workers behavior and motivation. The subsequent formal model is based on a set of logical structures for knowledge representation and reasoning that conform to the above entropic view, then leading to an Artificial Neural Network approach to computation, an archetypal that considers the motive behind the action.
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