An Analytical Approach for Job Evaluation in Turkey

Year 2019, , 1212 - 1226, 01.12.2019

Mehmet Senol , Metin Dagdevıren

https://doi.org/10.35378/gujs.494558

Cited By: 1

Abstract

Subjectivity within most job
evaluation techniques brings about challenges and pay inequity; therefore
analytical decision making tools should be applied for ranking professions.
This problem should be considered as a multi attribute decision-making problem.
A Fuzzy Analytical Hierarchy Process is proposed to prevent inequity problem
and analytically support managers in job evaluations in this research. As a
case study professions from metal industry are evaluated with respect to three
factors consisting of eleven sub-factors. The AHP is used to determine job
evaluation criteria weights. The vagueness and subjectivity of managers are
taken into account by linguistic parameters of triangular fuzzy numbers. The
most important three sub-factors are identified as education, product
responsibility and work environment. Five different salary groups are determined
depending on analysis. Numerical analysis reveals the advantages of F-AHP in
differentiating various jobs, where F-AHP provides satisfactory results for a
reliable payment system.

Keywords

Job Evaluation, Salary, Pay Inequity, Fuzzy AHP, Multi-Criteria Decision Making

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