Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90114

TítuloA Multi-valued Logic Assessment of organizational performance via workforce social networking
Autor(es)Neves, José
Fdez-Riverola, Florentino
Alves, Victor
Ferraz, Filipa Tinoco
Sousa, Lia
Costa, António
Ribeiro, Jorge
Vicente, Henrique
Palavras-chaveArtificial neural networks
Entropy
Logic programming
Multi-valued logic
Organizational performance
Philosophy
Social media
Social science and networking
Data2021
EditoraSpringer, Cham
RevistaLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
CitaçãoNeves, J. et al. (2021). A Multi-valued Logic Assessment of Organizational Performance via Workforce Social Networking. In: Deze, Z., Huang, H., Hou, R., Rho, S., Chilamkurti, N. (eds) Big Data Technologies and Applications. BDTA WiCON 2020 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-72802-1_5
Resumo(s)Social Media have changed the conditions and rules of Social Networking (SNet) where it comes from people intermingling with each other, i.e., SNet is to be understood as a process that works on the principle of many-to-many; any individual can create and share content. It is intended to explore explore the complex dynamics between SNet, Logic Programming (LP), and the Laws of Thermodynamic (LoT) in terms of entropy by drawing attention to how Multi-Value Logic (MVL) intertwines with SNet, LP and LoT, i.e., its norms, strategies, mechanisms, and methods for problem solving that underpin its dynamics when looks to programmability, connectivity, and organizational performance. Indeed, one’s focus is on the tactics and strategies of MVL to evaluate the issues under which social practices unfold and to assess their impact on organizational performance.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/90114
ISBN978-3-030-72801-4
e-ISBN978-3-030-72801-4
DOI10.1007/978-3-030-72802-1_5
ISSN1867-8211
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-030-72802-1_5
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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