A fuzzy multicriteria
for selection of human resources
in a Greek private bank
Panagiotis V. Polychroniou and Ioannis Giannikos
Department of Business Administration, University of Patras, Patras, Greece
Purpose – The purpose of this paper is to present a fuzzy multicriteria decision-making (MCDM)
methodology for selecting employees.
Design/methodology/approach – The methodology is based on the technique for order preference
by similarity to ideal solution (TOPSIS) multicriteria decision tool and the algorithm presented by
Karsak. Assuming that n are candidates each of whom is evaluated in j criteria, the methodology starts
by defining the ideal and the anti-ideal candidate.
Findings – The applicability of the methodology is discussed using real data from a major Greek
bank. As a result, it is necessary to consider criteria, criteria weights, and the distances from both the
ideal and the anti-ideal solution in order to select the more appropriate candidate.
Research limitations/implications – Modern approaches recognize that selection of human
resources is a complex process that involves a significant amount of vagueness and subjectivity, and
serious consideration for candidate’s uncertainties of career life.
Practical implications – The method can help human resources managers reach better decisions
by selecting employees through a process that takes into account organizational objectives as well as
employees’ qualities. Moreover, selection of human resources can be seen as part of an integrated
career management system in the organization.
Originality/value – The MCDM methodology can adequately represent the imprecision and
uncertainty that are inherent in any modern organization. The method is quite flexible since criteria
weights and distances from ideal and anti-ideal candidates can be replaced by any method for ranking
Keywords Human resource management, Decision making, Greece, Career
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