MCDM-DEA Approach for Personnel Selection in the Banking Sector

Karsak E. E., Göker Mutlu N.

IAC in Vienna 2019, Vienna, Avusturya, 29 - 30 Kasım 2019, ss.175-181, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Vienna
  • Basıldığı Ülke: Avusturya
  • Sayfa Sayıları: ss.175-181
  • Galatasaray Üniversitesi Adresli: Evet

Özet

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.