Automation of competences extraction - HumaNeTrust: an experimental computer system used in an academic laboratory
Résumé
In an organisation, competences form human capital, an intangible asset that is decisive for overall performance and strategic management. The aim of this paper is to understand, in an objective and undeclared way, how competences in an organisation evolve. Then this research proposes to fill this gap by setting up a computer system to provide an automated overview of competences (individual and collective). After defining the competences, we show that traces can be used to identify them. Based on the PROXYMA model, we switch to an actual dimension for the first time through the implementation of an application (HNT: HumaNeTrust) that allows to validate the different functions of a trace-based system. Then, the HNT application is experimented in an organisation, based on of the traces produced during publication of scientific articles. The results show that the graphs produced can be used by the organisation's managers to obtain an objective overview of the professional interpersonal relationships and areas of expertise held within the organisation (which are some of the facets of the complex concept of competence). We notice that the areas of expertise found with HumaNeTrust software are not exactly the same as those highlighted on the organisation's website. This research marks a step in the quest for an automatic competence mapping solution, to provide the structure's managers with an objective view of reality.
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Pouydebat_CIGI_AutomationOfCompetencesExtraction_rev3.pdf (693.78 Ko)
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Pouydebat_CIGI2021_AutomationOfCompetencesExtraction (1).mp4 (80.2 Mo)
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Pouydebat_CIGI_AutomationOfCompetencesExtraction_diapos.pdf (1.39 Mo)
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