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The competence management to improve the learning engagement
Dipartimento di Ingegneria dell’Informazione, Ingegneria Elettrica e Matematica Applicata, Italy.
Dipartimento di Scienze Umane, Filosofiche e della Formazione, University of Salerno, Italy.
Dipartimento di Scienze Umane, Filosofiche e della Formazione, University of Salerno, Italy.
Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Institute of Computer Science, Chair Business Information Systems, University of Rostock, Germany.
2017 (Engelska)Ingår i: Journal of Ambient Intelligence and Humanized Computing, ISSN 1868-5137, E-ISSN 1868-5145, Vol. 8, nr 3, s. 405-417Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The organizational structures of public and local administration depend on many bureaucratic aspects. Emergencies and political factors instead of rational motivations related to knowledge, competences and profiles often influence the allocation of people in offices. In most cases, such situations generate dissatisfactions, low productivity and become gangrenous. The objective of this work is applying competence management, skill gap analysis and a study of the existing organizational structures to point out the functional unit with the most critical situation in terms of allocated employees in order to suggest the people to involve in learning programmes according to the complex laws, internal regulation for the staff management and trade-union influences. In fact, the proposed approach identifies the real gaps that create inefficiencies and suggests the employees to engage in learning activities by focusing exactly on what the organizations need with respect to what the employees have. It happens by elaborating a priority scale on the base of existing hierarchies, relationships, logistic constraints and other aspects with the aim, above all, of enhancing the identified unit and the local administration itself.

Ort, förlag, år, upplaga, sidor
Springer, 2017. Vol. 8, nr 3, s. 405-417
Nyckelord [en]
Competence management; Human resource management; Knowledge management system; Ontology; Learning; Decision support
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hj:diva-31627DOI: 10.1007/s12652-016-0399-7ISI: 000402072700009Scopus ID: 2-s2.0-85019659969Lokalt ID: JTHInformationsteknikISOAI: oai:DiVA.org:hj-31627DiVA, id: diva2:957208
Tillgänglig från: 2016-09-01 Skapad: 2016-09-01 Senast uppdaterad: 2018-09-20Bibliografiskt granskad

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Totalt: 77 träffar
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