Title: Identification and ranking of competency-based recruitment system criteria: an empirical case study

Authors: Abdoulla Karimi; Hadi Teimouri; Arash Shahin; Ali Shaemi Barzoki

Addresses: Faculty of Administrative Sciences and Economics, Department of Management, University of Isfahan, Isfahan, Iran ' Faculty of Administrative Sciences and Economics, Department of Management, University of Isfahan, Isfahan, Iran ' Faculty of Administrative Sciences and Economics, Department of Management, University of Isfahan, Isfahan, Iran ' Faculty of Administrative Sciences and Economics, Department of Management, University of Isfahan, Isfahan, Iran

Abstract: This study aimed to identify and rank criteria of competency-based recruitment system in an empirical case study. The studied population was experts in human resources management and network administrators of Saderat Bank of Iran as an empirical case study. The study was conducted in two general phases based on qualitative methods (interviews and Delphi) in two stages and quantitative methods for assessing validity and ranking. The results showed that criteria of competency-based recruitment system could be categorised in 5 criteria and 22 sub-criteria. The identified criteria included competence, prospection, integrity, justice and flexibility. Second order factor analysis was used to examine construct validity of the extracted criteria and their questions; Cronbach's alpha was used to check its reliability. The results indicated good validity and factor loading of each component as a criterion of the competency-based recruitment system. Among the identified criteria, competence, prospection, flexibility, integrity and justice, respectively, were more important in the competency-based recruitment system.

Keywords: recruitment system; competency-based recruitment system; competency management.

DOI: 10.1504/IJLIC.2019.096933

International Journal of Learning and Intellectual Capital, 2019 Vol.16 No.1, pp.21 - 39

Received: 13 Aug 2017
Accepted: 19 Jan 2018

Published online: 13 Dec 2018 *

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