Abstract
Tacit knowledge is that special, expert knowledge which is always referred to within a company; it is also very difficult to identify it, much less describe it. In this paper, the TKnowS approach for the effective identification of Key Tacit Knowledge Resources, in manufacturing companies, is constructed and implemented in the form of a web-application, based on a case study. The TKnowS approach includes: (1) the definition of groups of workers according to processes which have been completed, using the Algorithm - k-means Clustering and Distance Method and the Euclidean Distances Method, (2) determining the competences of each worker, (3) determining the importance of each competence for each group of workers using the FAHP Method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lagerstrtöm, K., Andersson, M.: Creating and sharing knowledge within a transnational team − the development of a global business system. J. World Bus. 38, 84–95 (2003)
Kujawińska, A., Diering, M., Rogalewicz, M., Żywicki, K., Hetman, Ł.: Soft modelling based methodology of raw material waste estimation. In: Burduk, A., Mazurkiewicz, D. (eds.) ISPEM 2017. Advances in Intelligent Systems and Computing, vol. 637, pp. 407–417. Springer, Heidelberg (2017)
Gray, P.H., Meister, D.B.: Knowledge sourcing effectiveness. Manag. Sci. 50(6), 821–834 (2004)
Alam, M., Gale, A., Brown, M., Khan, A.I.: The importance of human skills in project management professional development. Int. J. Manag. Proj. Bus. 3(3), 495–516 (2010)
Hecklaua, F., Galeitzkea, M., Flachsa, S., Kohlb, H: A holistic approach to human-resource management in Industry 4.0. In: Procedia CIRP, 6th CLF 6th CIRP Conference on Learning Factories, vol. 54 (2016)
Lin, C.Y., Kuo, T.H., Kuo, Y.K., Ho, L.A., Kuo, Y.L.: The KM chain - empirical study of the vital knowledge sourcing link. J. Comput. Inf. Syst. 48(2), 91–99 (2007)
Patalas-Maliszewska, J., Krebs, I.: A model of the tacit knowledge transfer support tool: CKnow-board. In: Dregvaite, G., Damasevisius, R. (eds.) ICIST 2016. Communications in Computer and Information Science, vol. 639, pp. 30–41. Springer, Heidelberg (2016)
Cornuéjols, A., Wemmert, C., Gançarski, P., Bennani, Y.: Collaborative clustering: why, when, what and how. Inf. Fus. 39, 81–95 (2018)
Nydick, R.L., Hill, R.P.: Using the analytic-hierarchy process to structure the supplier-selection procedure. Int. J. Purch. Mater. Manag. 28(2), 31–36 (1992)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Patalas-Maliszewska, J., Kłos, S. (2019). A System for Identifying Key Tacit Knowledge Resources Within Manufacturing Companies. In: Machado, J., Soares, F., Veiga, G. (eds) Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-91334-6_55
Download citation
DOI: https://doi.org/10.1007/978-3-319-91334-6_55
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91333-9
Online ISBN: 978-3-319-91334-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)