Recuperación de información automática de ofertas de empleo: estudio de las competencias de los profesionales de recursos humanos en el mercado de trabajo español

  1. Olga Valencia García 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Journal:
Revista de métodos cuantitativos para la economía y la empresa

ISSN: 1886-516X

Year of publication: 2013

Volume: 16

Pages: 143-164

Type: Article

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More publications in: Revista de métodos cuantitativos para la economía y la empresa

Abstract

Access to information on competencies demanded by companies may be per-formed by a prospective study of job offers posted by employers. But, theseinclude a large amount of quantitative and qualitative but mainly textualdata, so an appropriate approach should be chosen in order to obtain a de-tailed knowledge of competencies in certain areas and professional profiles.The aim of this paper is to provide empirical evidence of the competen-cies required to HR professionals both generally and in terms of differentjob profiles in this area. The identification of competencies is accomplishedby the application of statistical methods to automatically processed texts,which dispenses with previous categorization of competences in order topreserve the texts in their native format.The research is based on a textual corpus on ‘Soft Competencies’, whichhas been built from hundreds of job offers for HR professionals, posted byeither recruitment consultants or direct employers within the labor Spanishmarket. After a process of standardization and lemmatization of the tex-tual corpus, the key terms on HR soft competencies has been drawn andthus the overall most requested competencies. Likewise, combining the tex-tual information about competencies with qualitative data concerning jobprofiles, modal texts may be determined and different competency profilescan be outlined. Finally, the visualization of the associations between softcompetencies and HR job profiles has been carried out by means of a Cor-respondence Analysis of an aggregated lexical table.

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