Title: An innovative ontology-driven system supporting personnel selection: the OntoHR case

 

Author: Gábor Kismihók; Réka Vas; Stefan T. Mol

 

Addresses:
Department of Information Systems, Corvinus University of Budapest, F?vám tér 13–15, Budapest 1093, Hungary.
Department of Information Systems, Corvinus University of Budapest, F?vám tér 13–15, Budapest 1093, Hungary.
Amsterdam Business School, University of Amsterdam, Plantage Muidergracht 12, 1018 TV, Amsterdam

 

Journal: Int. J. of Knowledge and Learning, 2012 Vol.8, No.1/2, pp.41 - 61

 

Abstract: This paper describes the initial development of an HRM system that aims to decrease the gap between higher vocational education and the labour market for a specific job in the ICT sector. This paper focuses specifically on the delineation of a process model and the selection of a suitable job role (information system analyst) that is valid across organisational and cultural boundaries. The process model implies various applied uses of this ontology-based system, including mapping qualifications in vocational education to current and valid job roles, testing and evaluating the student applicant on the basis of labour market driven competencies, and providing ad-hoc support to educational institutions by elucidating the weaknesses of particular VET curricula.

 

Keywords: HRM; e-learning; human resource management; electronic learning;; online learning; knowledge management; adaptive testing; competency; process modelling; job role selection; personnel selection; ontology; job knowledge; ICT sector; information system analysts; vocational education.

 

DOI: http://dx.doi.org/10.1504/IJKL.2012.047549

 

Available online 27 Jun 2012

 

 

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