Organizational Intelligence: Ontological Modeling of Skills

Authors

  • Najima Daoudi Ecole des Sciences de l'Information
  • Majda Nabigh Ecole Doctorale Abbé-Grégoire, Conservatoire National des Aarts et Métiers, Paris
  • Imane Hilal Ecole des Sciences de l'Information
  • Hasnae Rahimi Ecole des Sciences de l'Information
  • Fatima Zahra Atiki Ecole des Sciences de l’Information (ESI), Rabat

DOI:

https://doi.org/10.3991/ijac.v13i1.10589

Keywords:

Knowledge management, onthology, skills management, recruitment process

Abstract


In both the private and public sectors, human resource management processes face considerable challenges in terms of skills management within organizations. In fact, during the recruitment process, it is difficult to find the right profile for certain functions. To cope with this constraint and thus streamline this process, organizations tend to implement intelligent management of jobs and skills. Most systems of matching a job with a profile face the difficulty of developing and maintaining resources specific to each field. In view of this, ontologies are not only a tool for professional management and strategic management of human resources, but they also make it possible to base the relationship between the couple job / profile. Thus, we propose a construction approach of three ontologies that will play a key role in knowledge management in the context of the Secrétariat Chargé De L’eau but which remains valid for later use in broader contexts.

Author Biographies

Najima Daoudi, Ecole des Sciences de l'Information

Département génie de données et de connaissances

 

Majda Nabigh, Ecole Doctorale Abbé-Grégoire, Conservatoire National des Aarts et Métiers, Paris

 

 

Imane Hilal, Ecole des Sciences de l'Information

Département génie de données et de connaissances

Hasnae Rahimi, Ecole des Sciences de l'Information

Département génie de données et de connaissances

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Published

2020-03-27

How to Cite

Daoudi, N., Nabigh, M., Hilal, I., Rahimi, H., & Atiki, F. Z. (2020). Organizational Intelligence: Ontological Modeling of Skills. International Journal of Advanced Corporate Learning (iJAC), 13(1), pp. 4–18. https://doi.org/10.3991/ijac.v13i1.10589

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Section

Papers