Publicação
Enhancing competency development and organizational effectiveness through advanced technologies: a position paper
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| dc.contributor.author | Dias, J. T. | |
| dc.contributor.author | Santos, Arnaldo | |
| dc.contributor.author | Martins, P. | |
| dc.contributor.author | São Mamede, Henrique | |
| dc.date.accessioned | 2026-01-16T16:34:51Z | |
| dc.date.available | 2026-01-16T16:34:51Z | |
| dc.date.issued | 2025-08-22 | |
| dc.description.abstract | In recent years, companies have faced increasing pressure from glob-alization, requiring them to adapt not only to survive but also to thrive in a highly competitive environment. This adaptation has been facilitated by the ef-ficient integration of technology, achieved through digital processes and collab-oration tools. Digital transformation has emerged as a critical element for main-taining competitiveness as economies become increasingly digital. To succeed in this ever-evolving environment, companies must balance leveraging existing strengths with seeking new organizational agility. Integrating advanced tech-nologies like Artificial Intelligence (AI) and Web Technologies, into education and professional training is a strategic response to the challenges posed by the current digital landscape. AI, with its adaptability and automation capabilities, offers benefits such as increased efficiency, personalized learning, and stream-lined administrative processes. Continuous evaluation of teaching and learning, along with data extraction and predictive analysis, enhances e-learning quality and informs organizational decisions. This research aims to investigate how ad-vanced technologies can predict and adapt organizational training needs to im-prove competency development and overall effectiveness. The research adopts a Design Science Research (DSR) methodology, focusing on the development and implementation of an AI-based framework for personalized training rec-ommendations. Expected outcomes include integrating AI-driven predictive models with existing Human Resources Management Systems to identify and address training needs, fostering employee skill development, organizational agility, and competitiveness in a rapidly changing market. Additionally, ad-dressing this issue promotes a more inclusive and empowering work environ-ment, enabling employees to thrive in an increasingly digital world. | eng |
| dc.identifier.doi | 10.1007/978-3-032-02669-9_14 | |
| dc.identifier.isbn | 978-3-032-02668-2 | |
| dc.identifier.uri | http://hdl.handle.net/10400.2/20925 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer | |
| dc.relation.ispartofseries | Communications in Computer and Information Science | |
| dc.rights.uri | N/A | |
| dc.subject | Artificial Intelligence (AI) | |
| dc.subject | Web technologies | |
| dc.subject | Predictive analytics | |
| dc.subject | Organizational training | |
| dc.subject | Competency development | |
| dc.title | Enhancing competency development and organizational effectiveness through advanced technologies: a position paper | eng |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.volume | 2481 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Santos | |
| person.familyName | São Mamede | |
| person.givenName | Arnaldo | |
| person.givenName | Henrique | |
| person.identifier | https://scholar.google.pt/citations?user=ik_0xPkAAAAJ&hl=pt-PT | |
| person.identifier | R-002-0P0 | |
| person.identifier.ciencia-id | 3211-438A-A256 | |
| person.identifier.ciencia-id | 7F17-9DAD-C007 | |
| person.identifier.orcid | 0000-0001-5139-6728 | |
| person.identifier.orcid | 0000-0002-5383-9884 | |
| person.identifier.scopus-author-id | 36458782500 | |
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