Analyzing key factors of human resources management

Authors:
Lourdes Sáiz;Arturo Pérez;Álvaro Herrero;Emilio Corchado
Affiliations:
Department of Civil Engineering, University of Burgos, Burgos, Spain;Investigador Programa Torres Quevedo, TTT Diseño, Comunicación y Contenidos, Burgos, Spain;Department of Civil Engineering, University of Burgos, Burgos, Spain;Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain
Venue:
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Year:
2011

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Abstract

This study presents the application of an unsupervised neural projection model for the analysis of Human Resources (HR) from a Knowledge Management (KM) standpoint. This work examines the critical role that the acquisition and retention of specialized employees play in Hi-tech companies, particularly following the configuration approach of Strategic HR Management. From the projections obtained through the connectionist models, experts in the field may extract conclusions related to some key factors of the HR Management. One of the main goals is to deploy improvement and efficiency actions in the implantation and execution of the HR practices in firms. The proposal is validated by means of an empirical study on a real case study related to the Spanish Hi-tech sector.