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Revista de Psicología del Trabajo y de las Organizaciones
versão On-line ISSN 2174-0534versão impressa ISSN 1576-5962
Resumo
ANDRES, José C; AGUADO, David e GARCIA-IZQUIERDO, Antonio L. Big Four LinkedIn dimensions: signals of soft skills?. Rev. psicol. trab. organ. [online]. 2023, vol.39, n.2, pp.75-88. Epub 13-Nov-2023. ISSN 2174-0534. https://dx.doi.org/10.5093/jwop2023a9.
The use of LinkedIn as a tool in the recruitment and selection process has become routine in human resource management. However, a major drawback of such an approach is the lack of systematic and rigorous inferences on the psychological characteristics of the candidates. Calls have been made by scholars for further research on the psychometric guarantee of LinkedIn as a tool in the selection process. This study adopts signalling theory as a framework for exploring how LinkedIn profile information signals a candidate's soft skills. Using a sample of 169 ITC professionals, through a cross-sectional design, soft skills were measured by means of a self-report questionnaire and LinkedIn profiles were assessed using rubrics for measuring the LinkedIn Big Four. Our findings demonstrate that LinkedIn Big Four Breadth of Professional Experience and Social Capital are valid signals of leadership, communication, problem solving, entrepreneurial and commercial thinking, planning and organization, and teamwork. We discuss the practical and theoretical implications of our results.
Palavras-chave : LinkedIn Big Four model; Soft skills; Signalling theory; Recruitment and selection.