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Hybrid Visualization for Deep Insight into Knowledge Retention in Firms

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Hybrid Artificial Intelligent Systems (HAIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8073))

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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.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, University of Burgos, C/ Francisco de Vitoria s/n, 09006, Burgos, Spain

    Lourdes Sáiz, Miguel A. Manzanedo & Álvaro Herrero

  2. Investigador Programa Torres Quevedo, TTT Diseño, Comunicación y Contenidos, S.L., Reyes Católicos, 41, 1, 09005, Burgos, Spain

    Arturo Pérez

  3. Departamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced, s/n, 37008, Salamanca, Spain

    Emilio Corchado

Authors
  1. Lourdes Sáiz
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  2. Miguel A. Manzanedo
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  3. Arturo Pérez
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  4. Álvaro Herrero
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  5. Emilio Corchado
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios M. Polycarpou

  3. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  4. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, SP, Brazil

    André C. P. L. F. de Carvalho

  5. University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Héctor Quintián  & Emilio Corchado  & 

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Sáiz, L., Manzanedo, M.A., Pérez, A., Herrero, Á., Corchado, E. (2013). Hybrid Visualization for Deep Insight into Knowledge Retention in Firms. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_29

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  • DOI: https://doi.org/10.1007/978-3-642-40846-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40845-8

  • Online ISBN: 978-3-642-40846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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