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Competence management in knowledge intensive organizations using consensual knowledge and ontologies

Author

Listed:
  • Chris Kimble

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier, Euromed Marseille - École de management - Association Euromed Management - Marseille)

  • José Vasconcelos
  • Álvaro Rocha

Abstract

This article describes an architecture suitable for use in a competence management system for knowledge intensive organizations (KIOs). The underlying motivation for this work is to explore the practical problems of the use of codified knowledge in knowledge management systems (KMS) in KIOs. We explore some of the key issues associated with the use of tacit and codified knowledge in KMS, and describe an architecture based on an ontology-driven framework derived from collective and consensual knowledge that acts as a structure for a formal knowledge base. We describe, in outline, a prototype competence management system based on this architecture designed to support the management of competencies in a structured way. We conclude with some observations about our approach to the representation of knowledge in a KMS and its potential value to KIOs.

Suggested Citation

  • Chris Kimble & José Vasconcelos & Álvaro Rocha, 2016. "Competence management in knowledge intensive organizations using consensual knowledge and ontologies," Post-Print halshs-01260963, HAL.
  • Handle: RePEc:hal:journl:halshs-01260963
    DOI: 10.1007/s10796-016-9627-0
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    Cited by:

    1. Ikram Bououd & Sana Rouis Skandrani & Imed Boughzala & Mohamed MAKHLOUF, 2016. "Impact of object manipulation, customization and social loafing on competencies management in 3D Virtual Worlds," Information Systems Frontiers, Springer, vol. 18(6), pages 1191-1203, December.
    2. Bimba, Andrew Thomas & Idris, Norisma & Al-Hunaiyyan, Ahmed & Mahmud, Rohana Binti & Abdelaziz, Ahmed & Khan, Suleman & Chang, Victor, 2016. "Towards knowledge modeling and manipulation technologies: A survey," International Journal of Information Management, Elsevier, vol. 36(6), pages 857-871.
    3. José Braga Vasconcelos & Chris Kimble & Álvaro Rocha, 2016. "A special issue on knowledge and competence management: Developing Enterprise solutions," Information Systems Frontiers, Springer, vol. 18(6), pages 1035-1039, December.
    4. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    5. Beatriz Ferreira & Carla Curado & Mírian Oliveira, 2022. "The Contribution of Knowledge Management to Human Resource Development: a Systematic and Integrative Literature Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2319-2347, September.
    6. Steven Mertens & Frederik Gailly & Diederik Sassenbroeck & Geert Poels, 2022. "Integrated Declarative Process and Decision Discovery of the Emergency Care Process," Information Systems Frontiers, Springer, vol. 24(1), pages 305-327, February.
    7. Antonia Terán-Bustamante & Antonieta Martínez-Velasco & Andrée Marie López-Fernández, 2021. "University–Industry Collaboration: A Sustainable Technology Transfer Model," Administrative Sciences, MDPI, vol. 11(4), pages 1-17, November.
    8. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 2020. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 22(6), pages 1377-1418, December.
    9. Sousa, Maria José & Rocha, Álvaro, 2019. "Skills for disruptive digital business," Journal of Business Research, Elsevier, vol. 94(C), pages 257-263.
    10. Yu-Hsi Yuan & Sang-Bing Tsai & Chien-Yun Dai & Hsiao-Ming Chen & Wan-Fei Chen & Chia-Huei Wu & Guodong Li & Jiangtao Wang, 2017. "An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-22, September.
    11. Constantin Bratianu & Dan Florin Stanescu & Rares Mocanu, 2021. "Exploring the Knowledge Management Impact on Business Education," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    12. Sousa, Maria José & Rocha, Álvaro, 2019. "Leadership styles and skills developed through game-based learning," Journal of Business Research, Elsevier, vol. 94(C), pages 360-366.

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