Akademik Veri Yönetim Sistemi
IAC in Vienna 2019, Vienna, Avusturya, 29 - 30 Kasım 2019, ss.175-181, (Tam Metin Bildiri)
Personnel selection, which
is of great importance in terms of human resources management, is the process
of selecting individuals who are suitable for the qualifications required to
perform a defined job in the best way. The growing importance attached to
personnel selection has paved the way for analytical decision making
approaches. This work introduces a common- weight data
envelopment analysis (DEA) based multi-criteria decision making (MCDM) aid for evaluating
the candidates throughout the
recruitment process of a bank. The developed two-phase
approach is based on minimizing the sum of deviations from efficiency. The
proposed methodology guarantees to identify the best performing candidate with
respect to the defined attributes via solving a mixed integer linear programming
model in addition to a single linear program. Comparative analyses demonstrate improved discriminatory characteristics
and computational efficiency of the proposed approach.