A hybrid MCDM model for personnel selection based on a novel Gray AHP, Gray MOORA and Gray MAUT methods in terms of business management: An application in the tourism sector

Personnel selection and high performance of personnel are crucial in businesses operating in the tourism sector. In response to this important issue, an application was conducted in a local hotel operating in Bartın, Turkey. The study analyzed the performance of service personnel working in the restaurant section of the hotel. The Gray AHP, Gray MOORA, and Gray MAUT methods were used in the analyses. The weights of the evaluation criteria used to measure the performance of service employees were determined using the Gray AHP method. The study evaluated three main criteria and eleven sub-criteria. As a result of the analysis, it was concluded that the most effective criteria in evaluating the service personnel working in the hotel restaurant were “Diction - effective and eloquent speaking ability” and “Effective Communication - the ability to effectively use verbal and non-verbal communication skills” under the main criterion of “Personal Characteristics,” and “Experience - knowledge and experience gained by working in a business operating in the tourism sector” under the main criterion of “Professional Characteristics.” The performance of five personnel working in the hotel restaurant was ranked separately using Gray MOORA and Gray MAUT, with identical rankings obtained in both methods. The study is considered beneficial both for the hotel management where the application was conducted and for businesses engaged in local hotel management. This application also introduced a hybrid model to the literature, utilizing Gray AHP-based Gray MOORA and Gray MAUT methods together.

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Publication Details

Journal
Journal of Decision Analytics and Intelligent Computing
Published
2024-12-24
DOI
https://doi.org/10.31181/jdaic10024122024g
Citations
9
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
4.41
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article

A hybrid MCDM model for personnel selection based on a novel Gray AHP, Gray MOORA and Gray MAUT methods in terms of business management: An application in the tourism sector

Murat Kemal KELEŞ, Aşkın Özdağoğlu, Emine GENÇ
9 citations
Journal of Decision Analytics and Intelligent Computing
Multi-Criteria Decision Making
4.41
article

A hybrid MCDM model for personnel selection based on a novel Gray AHP, Gray MOORA and Gray MAUT methods in terms of business management: An application in the tourism sector

Murat Kemal KELEŞ, Aşkın Özdağoğlu, Emine GENÇ
article en
9 citations

Abstract

Personnel selection and high performance of personnel are crucial in businesses operating in the tourism sector. In response to this important issue, an application was conducted in a local hotel operating in Bartın, Turkey. The study analyzed the performance of service personnel working in the restaurant section of the hotel. The Gray AHP, Gray MOORA, and Gray MAUT methods were used in the analyses. The weights of the evaluation criteria used to measure the performance of service employees were determined using the Gray AHP method. The study evaluated three main criteria and eleven sub-criteria. As a result of the analysis, it was concluded that the most effective criteria in evaluating the service personnel working in the hotel restaurant were “Diction - effective and eloquent speaking ability” and “Effective Communication - the ability to effectively use verbal and non-verbal communication skills” under the main criterion of “Personal Characteristics,” and “Experience - knowledge and experience gained by working in a business operating in the tourism sector” under the main criterion of “Professional Characteristics.” The performance of five personnel working in the hotel restaurant was ranked separately using Gray MOORA and Gray MAUT, with identical rankings obtained in both methods. The study is considered beneficial both for the hotel management where the application was conducted and for businesses engaged in local hotel management. This application also introduced a hybrid model to the literature, utilizing Gray AHP-based Gray MOORA and Gray MAUT methods together.

Journal of Decision Analytics and Intelligent ComputingVol. 4(1)
Dokuz Eylül University (TR), Bartin University (TR), Isparta University of Applied Sciences (TR)
Decent work and economic growth
Openalex Percentile: Top 5%
Multi-Criteria Decision Making
4.41
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