A fuzzy multicriteria

decision-making methodology

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

Abstract

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

fuzzy numbers.

Keywords Human resource management, Decision making, Greece, Career

development,Recruitment,

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