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Hybrid Visualization for Deep Insight into Knowledge Retention in Firms

  • Lourdes Sáiz
  • Miguel A. Manzanedo
  • Arturo Pérez
  • Álvaro Herrero
  • Emilio Corchado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8073)

Abstract

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.

Keywords

Unsupervised Neural Networks Glyph Metaphor Knowledge Management Knowledge Retention Human Resources Management 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lourdes Sáiz
    • 1
  • Miguel A. Manzanedo
    • 1
  • Arturo Pérez
    • 2
  • Álvaro Herrero
    • 1
  • Emilio Corchado
    • 3
  1. 1.Department of Civil EngineeringUniversity of BurgosBurgosSpain
  2. 2.Investigador Programa Torres QuevedoTTT Diseño, Comunicación y Contenidos, S.L.BurgosSpain
  3. 3.Departamento de Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

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