Bibliometric Studies on Multi-Criteria Decision Analysis (MCDA) Applied in Personnel Selection
Igor Pinheiro de Araújo Costa, Marcio Pereira Basílio, Sérgio Mitihiro do Nascimento Maêda, Marcus Vinícius Gonçalves Rodrigues, Miguel Ângelo Lellis Moreira, Carlos Francisco Simões Gomes, Marcos dos Santos
Personnel selection is increasingly proving to be an essential factor for the success of organizations. These issues almost universally involve multiple conflicting objectives, uncertainties, costs and benefits in the decision-making process. In this context, due to the characteristics of human resources problems, composed of several subjective evaluation criteria, such problems can be solved by applying Multiple Criteria Decision Aid (MCDA) methods. This paper aims to present a literature review on the main applications of MCDA in the personnel selection area, considering the tactical, operational and strategic spheres. The methodology includes a bibliometric study and a literature review of documents from the Scopus database. We identified the document type, year of publication, affiliation, authors, author’s H-index, the field of knowledge, country and keyword clusters. The literature review allowed us to verify that the Fuzzy Logic is the most applied methodology in personnel selection problems with MCDA, due to its capacity to handle vague, imprecise and subjective data.
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