Research Information System
IAC 2022 in Vienna, Viyana, Austria, 05 August 2022
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.