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oai:gredos.usal.es:10366/1348392025-04-30T20:37:53Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

00925njm 22002777a 4500 dc Sáiz Bárcena, Lourdes author Manzanedo, Miguel A. author Pérez Pulido, Arturo author Herrero Cosío, Álvaro author Corchado Rodríguez, Emilio Santiago author 2013 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. Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 8073, pp. 280-293. 978-3-642-40845-8 (Print) / 978-3-642-40846-5 (Online) 0302-9743 (Print) / 1611-3349 (Online) http://hdl.handle.net/10366/134839 Computer Science Hybrid Visualization for Deep Insight into Knowledge Retention in Firms