2017
DOI: 10.7595/management.fon.2017.0011
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An FAHP-TOPSIS framework for analysis of the employee productivity in the Serbian electrical power companies

Abstract: The aim of this paper is to apply an integrated model, which combines methods of classical and fuzzy Multi-criteria decision making (MCDM) in selected six large equity companies from the Serbian energy sector. The data considered are retrieved from the official financial statements. Four main criteria were analyzed, identified by the previous researchers and pointing to the employees’ productivity: Operating income/Number of employees, Equity/Number of employees, Net income/Number of employees and Total assets… Show more

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Cited by 4 publications
(2 citation statements)
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“…Regarding employee productivity and selection, Knežević et al [71] integrated fuzzy sets and TOPSIS to analyze employee productivity in selected D-electrical power supply companies operating in Serbia. Thus, Safari et al [72] ranked bank branches based on employee empowerment using fuzzy AHP and Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) methods to determine the weights of the criteria and rank the branches based on eight indexes that have a significant impact on employee empowerment.…”
Section: Mcdm Methods In Hrm Sectormentioning
confidence: 99%
“…Regarding employee productivity and selection, Knežević et al [71] integrated fuzzy sets and TOPSIS to analyze employee productivity in selected D-electrical power supply companies operating in Serbia. Thus, Safari et al [72] ranked bank branches based on employee empowerment using fuzzy AHP and Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) methods to determine the weights of the criteria and rank the branches based on eight indexes that have a significant impact on employee empowerment.…”
Section: Mcdm Methods In Hrm Sectormentioning
confidence: 99%
“…Much of the research uses the AHP method in the first phase, to address the priority weights of criteria used by FAHP (Meixner, 2009, Knežević et al, 2017, and in the second is specifically tailored to the objectives of the work in different fields of observation. Various problems in agriculture were discussed using the AHP model (Bogdanović & Hadžić, 2019;Ali et al, 2021;Veisi et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%