Personnel Selection Using ARAS Method with Objective Weights


IAC 2022 in Vienna, Viyana, Austria, 05 August 2022

  • Publication Type: Conference Paper / Full Text
  • City: Viyana
  • Country: Austria
  • Galatasaray University Affiliated: Yes


Personnel selection, which aims to evaluate the candidates and/or identify the best candidate for a defined job considering the required qualifications, is a key topic for human resource management. The increasing importance of personnel selection decisions promotes the use of multi-criteria decision making methods. This study proposes to employ the Additive Ratio Assessment (ARAS) method with objective weighting schemes for the recruitment process of a financial institution. A common-weight data envelopment analysis (DEA)-based model, which aims to minimize the sum of deviations from efficiency, and the entropy method are considered for objective determination of criteria weights. The proposed methodologies employing ARAS with minsum efficiency weights and ARAS with entropy weights yield full ranking of candidates as well as identify the best candidate in the personnel selection problem, and provide a realistic evaluation with practical dispersion of criteria weights. Comparative analysis shows that the ranking outcomes of both approaches are consistent.