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Management Science Letters
Article . 2016 . Peer-reviewed
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Management Science Letters
Article
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Management Science Letters
Article . 2016
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Personnel selection with grey relational analysis

Authors: Nilsen Kundakcı;

Personnel selection with grey relational analysis

Abstract

Selection of the qualified and the most appropriate employee plays crucial role for the success of the businesses. The selection process is complex and contains both subjective and objective criteria to be considered. For this reason, in this paper, Grey Relational Analysis (GRA) is proposed for employee selection. To illustrate the applicability of the proposed method, the most appropriate software engineer is selected for a technology firm. By this way, a scientific multi criteria decision making (MCDM) method is proposed to the firm that determines the best candidate intuitively with traditional methods.

Related Organizations
Keywords

Business records management, Grey Relational Analysis, Personnel Selection, HF5735-5746, MCDM

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
gold