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Barriers to the use of competence mapping: case of Commercial Trains Service Agents of the SNCF
[Les entraves à l'utilisation des cartographies des compétences : cas des Agents du Service Commercial Trains de la SNCF]

Author

Listed:
  • Mohamed Ali Abdelwahed

    (CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique)

  • Mouna Guebsi

    (IDHE - Institutions et Dynamiques Historiques de l'Economie - ENS Cachan - École normale supérieure - Cachan - UP1 - Université Paris 1 Panthéon-Sorbonne - UP8 - Université Paris 8 Vincennes-Saint-Denis - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

Abstract

L'avènement des cartographies des compétences représente un enjeu important pour la gestion du capital immatériel de l'organisation. Leur intégration dans les processus de management des compétences impacte forcément le stockage, le développement et la capitalisation de celles-ci. Or ces Systèmes de Gestion des Connaissances (SGC) comme toute technologie se heurtent à des problèmes d'appropriation de la part des utilisateurs. Adoptant une approche cognitiviste et une posture socioconstructiviste, une étude qualitative auprès d'Agents du Service Commercial Trains (ASCT) de la SNCF a été menée afin de répondre à cette problématique d'appropriation. Pour ce faire, ont été conduits des entretiens semi-directifs ainsi qu'une étude ethnométhodologique, suivis d'une enquête « confirmatoire » via des focus group (des groupes miroirs). Les résultats de cette recherche nous montrent que la cause de ces problèmes reviendrait à la réticence des agents quant à la capitalisation et aux biais cognitifs causés par la subjectivité des acteurs.

Suggested Citation

  • Mohamed Ali Abdelwahed & Mouna Guebsi, 2015. "Barriers to the use of competence mapping: case of Commercial Trains Service Agents of the SNCF [Les entraves à l'utilisation des cartographies des compétences : cas des Agents du Service Commercia," Post-Print hal-01300258, HAL.
    • Handle: RePEc:hal:journl:hal-01300258
    Note: View the original document on HAL open archive server: https://hal.science/hal-01300258
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Yvon Pesqueux, 2009. "Un modèle organisationnel en "confiance-coopération" ?," Post-Print hal-00509413, HAL.
    3. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    4. Aurélie Dudézert, 2007. "Cartographie des connaissances et gestion des ressources humaines: exemple de l'ambiguïté cognitive des Systèmes de Gestion des Connaissances," Post-Print hal-00239370, HAL.
    5. Aurélie Dudézert & Agnès Lancini, 2006. "Performance et Gestion des Connaissances : contribution à la construction d'un cadre d'analyse," Post-Print halshs-00010009, HAL.
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