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AUTHOR(S):

Fariz Ahmadov, Rashad Ahadov, Yusif Aliyev

 

TITLE

Determining the Importance Weights of Academic Staff Selection Using Fuzzy Analytical Hierarchy Process: “an Assessment at Azerbaijan University of Technology”

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ABSTRACT

To assess the eligibility of candidates for academic staff selection and to select the most suitable candidates for the required tasks is an important tool of Human Resources Management (HRM). Because of increasing developments in education, universities around the world demand high quality and professional academic staff. The selection of academic staff also includes uncertainties that pose another problem, because the AHP lacks the ability to cope with a definitive and subjective judgement in the process of bilateral comparison. This problem can be achieved by using the Fuzzy AHP model, which uses triangular fuzzy numbers (TFNs) and linguistic variables to achieve consistency in decision-making. In this study, the significance and weights of ten different main criteria and in total thirty-seven sub-criteria under the main criteria were evaluated and examined with a fuzzy Analytic Hierarchy Process (FAHP) to select the appropriate academic staff. In this research, HRM and Quality Control experts were consulted and in determining importance weights Chang's rank analysis was applied. In the cases evaluated by the Chang method some criteria did not give weight and thatis why the importance weights of the criteria were determined by using the Squares Average Method. This is a real case study and can contribute to the selection of academic staff of the Azerbaijan universities and other organizations interested in fair and efficient recruitment.

KEYWORDS

Staff Selection Process, Fuzzy AHP, Azerbaijan Technology University

 

Cite this paper

Fariz Ahmadov, Rashad Ahadov, Yusif Aliyev. (2022) Determining the Importance Weights of Academic Staff Selection Using Fuzzy Analytical Hierarchy Process: “an Assessment at Azerbaijan University of Technology”. International Journal of Economics and Management Systems, 7, 391-404

 

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