The Right Knowledge Management Strategy for Engineering Analysis SME: A Case Study

  • Christophe Chevalier
  • Franck Pourroy
  • François Villeneuve
  • Alex Du Pasquier
Part of the Lecture Notes in Production Engineering book series (LNPE)


The aims were firstly to identify major problems within a calculation and analysis SME and then to determine the adequate Knowledge Management Strategy. A participant observation was performed for a tem month period within an engineering analysis SME, making a census of usual and unusual problems met by engineers during their daily activities. A keyword characterization grid for engineer’s problems was performed. Through census prioritization and anecdote characterization three families of problems were identified: perpetual training, electronic-paper-document-mail classification and engineering activities support. The results justify a Knowledge Management implementation, highlight the importance of the turnover factor, and lead to recommending a codification strategy.


Knowledge Management Strategy Codification Personalization High Turnover SME Characterization Engineer Problems 


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  1. 1.
    Desouza, K.C., Awazu, Y.: Knowledge management at SMEs: five peculiarities. Journal of Knowledge Management 10(1), 32–43 (2006)CrossRefGoogle Scholar
  2. 2.
    Meroño, A., López, C., Sabater, R.: KM strategy and instruments alignment: helping SME to choose, OKLC, Innsbruck, Austria, pp. 1–25 (2004)Google Scholar
  3. 3.
    Wong, K.Y., Aspinwall, E.: An empirical study of the important factors for knowledge-management adoption in the SME sector. Journal of Knowledge Management 9(3), 64–82 (2005)CrossRefGoogle Scholar
  4. 4.
    Zanjani, M.S., Mehrasa, S., Modiri, M.: Organizational dimensions as determinant factors of KM approaches in SMEs. In: 45th World Academy of Science, Engineering and Technology, pp. 389–394 (2008)Google Scholar
  5. 5.
    Wilson, T.D.: The nonsense of ’knowledge management’. Information Research 8(1), paper no. 144, 1–25 (2002)Google Scholar
  6. 6.
    Nonaka, I., Konno, N.: The concept of “Ba": Building a foundation for knowledge creation. California Management Review 40(3), 40–54 (1998)CrossRefGoogle Scholar
  7. 7.
    Baizet, Y., Pourroy, F., Allera, R.: Toward an identification and a formalization of knowledge in computational mechanics. In: Gogu, G., Coutellier, D., Chedmail, P., Ray, P. (eds.) Recent Advances in Integrated Design and Manufacturing in Mechanical Engineering, pp. 391–400. Kluwer Academic Publisher (2006)Google Scholar
  8. 8.
    Beylier, C., Pourroy, F., Villeneuve, F., Mille, A.: A collaboration-centred approach to manage engineering knowledge: a case study of an engineering SME. Journal of Engineering Design 20(6), 523–542 (2009)CrossRefGoogle Scholar
  9. 9.
    Grundstein, M.: GAMETH®: a constructivist and learning approach to identify and locate crucial knowledge. Int. Journal of Knowledge and Learning 5(3/4), 289–305 (2009)CrossRefGoogle Scholar
  10. 10.
    Hansen, M.T., Nohria, N., Tierney, T.: What’s your strategy for knowledge management? Havard Business Review, 1–11 (March-April 1999)Google Scholar
  11. 11.
    Gourova, E.: Knowledge Management strategy for Small and Medium Enterprises. In: Proceedings of the International Conference on Applied Computer Science, pp. 639–648 (2010)Google Scholar
  12. 12.
    Hussain, I., Si, S., Ahmed, A.: Knowledge Management for SMEs in developing countries. Journal of Knowledge Management Practice 11(2) (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christophe Chevalier
    • 1
    • 2
  • Franck Pourroy
    • 1
  • François Villeneuve
    • 1
  • Alex Du Pasquier
    • 2
  1. 1.G-SCOP LaboratoryPolytechnic Institute of GrenobleGrenobleFrance
  2. 2.ANTECIMVarces-Allières-et-RissetFrance

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