Neural projection models are applied in this study to the analysis of Human Resources (HR) from a Knowledge Management (KM) standpoint. More precisely, data projections are combined with the glyph metaphor to analyse KM data and to gain deeper insight into patterns of knowledge retention. Following a preliminary study, the retention of specialized employees in hi-tech companies is investigated, by applying the configurational approach of Strategic HR Management. The combination of these two aforementioned techniques generates meaningful conclusions and the proposal is validated by means of an empirical study on a real case study related to the Spanish hi-tech sector. © 2013 Springer-Verlag.
CITATION STYLE
Sáiz, L., Manzanedo, M. A., Pérez, A., Herrero, Á., & Corchado, E. (2013). Hybrid visualization for deep insight into knowledge retention in firms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8073 LNAI, pp. 280–293). https://doi.org/10.1007/978-3-642-40846-5_29
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