Banka Personel Seçiminin Çok Kriterli Karar Verme  Yöntemlerinden Entropi Temelli ARAS  Yöntemi İle Değerlendirilmesi

Kenger, Murat Deniz; Organ, Arzu

doi:10.30803/adusobed.336215

Cited by 40 publications

(8 citation statements)

References 7 publications

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“…For this reason, great care must be taken in the selection process. Basing on this idea, Kenger and Organ (2017) completed the selection of the most suitable personnel to be employed at a bank by using the Enthropy-based Aras Method, one of the MCMD methods (Kenger and Organ, 2017: 152). The personnel selection process by an organization forms the most important process that must be taken into consideration for an organization to survive and increase its market share in the globalizing world.…”

Section: Application Of the Multi-criteria Decision-making Methods To The Personnel Selectionmentioning

confidence: 99%

Personnel Selection Method Based on Topsis Multi-Criteria Decision Making Method

Korkmaz¹

2019

Uluslararası İktisadi Ve İdari İncelemeler Dergisi

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In this study, TOPSIS method, which is one of the multi-criteria decision making techniques, was used as a personal selection method in the logistics sector. This method was preferred in this study since it carries a set of superiorities. Twenty individuals applied for the vacant position to a logistics firm located in Mersin, Turkey and as a result of shortlisting process, only 9 candidates were qualified for interview by 6 human resource specialists and a regional director using 6 criteria. By means of the TOPSIS method, which was preferred as its application takes less time, is easy and as it gives better results, the 9 candidates were ranked and the most suitable candidate was recruited.

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Section: Application Of the Multi-criteria Decision-making Methods To The Personnel Selectionmentioning

confidence: 99%

Personnel Selection Method Based on Topsis Multi-Criteria Decision Making Method

Korkmaz¹

2019

Uluslararası İktisadi Ve İdari İncelemeler Dergisi

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“…Çok kriterli karar verme (ÇKKV), karar vericinin sahip olduğu seçeneklerden oluşan bir küme içinden en az iki kriter kullanarak yaptığı seçim işlemi olarak tanımlanabilir (Ersöz ve Kabak, 2010). Karar vericiye göre değişen öneme sahip olan kriterler arasında ağırlıklandırmalar yaparak belirlenen alternatifler arasından bir tanesini seçme işleminde kullanılır (Kenger, 2017). Bu yöntemler; karmaşıklık, belirsizlik, birbirleriyle çelişen amaçların olduğu durumlarda karar vericiye uygun seçenekler oluşturarak daha iyi karar vermesine yardım etmektedir (Hahn, 2003).…”

Section: çOk Kriterli Karar Verme Yöntemleriunclassified

Analysis of Risk Assessments in Textile Industry With ANP Method

ÇAT

KOCAAĞA

ERCİN

et al. 2022

UUJFE

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As each sector and industry has its own risks and hazards in terms of occupational health and safety, many of these can also be found in the textile industry. A good analysis of these risks and hazards, the correct and quick determination of the precautions to be taken can prevent many occupational accidents that may occur. In this study, the current risk assessment forms of a textile company operating in Bursa were examined. As the result of these analyzes made, the hazards of the current risks were classified into 8 main criteria and 55 sub-criteria. In order to determine the internal and external dependencies of these criteria, the ANP method, one of the multi-criteria decision making methods, was used. Thanks to the ANP, weightings of the main criteria and sub-criteria were obtained. In this way, the main criterion with the highest priority hazard has been determined as the criterion of machinery, working equipment and hand tools. The moving rotating part was found as the most prioritized sub-criterion of this main criterion. As a result of the comparisons of each sub-criterion with the sub-criteria in different main criteria, the most priority sub-criterion was determined as electric shock.

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“…The ranking of the candidates was made according to the results of the Gray Relational Analysis method and the best candidate was selected. Kenger and Organ (2017) were used Entropy and ARAS methods together for the selection of bank personnel. First, the weights of the criteria were identified by the Entropy method.…”

Section: Literature Reviewmentioning

confidence: 99%

Personnel Selection in the Software Industry by Using Entropy-Based Edas and Codas Methods

Ersoy

2021

Türkiye Mesleki Ve Sosyal Bilimler Dergisi

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In the global competitive environment, products and services produced in the software industry play a very important role in making businesses more efficient. This situation causes the demand for software industry products and services to increase rapidly. The software industry's ability to serve all businesses regardless of the sector has increased its product range. Especially as the software industry has become open-source code, programming languages have rapidly diversified. This variation has revealed the need for personnel with different qualifications for the software industry. The personnel selection is a complex decision-making process in which multiple criteria and alternatives must be considered simultaneously. This study, it was aimed to select the most suitable software personnel required for a company in the software and consultancy sector using entropy-based EDAS and CODAS methods. In the study, 6 alternative personnel candidates were evaluated according to 6 criteria. The Entropy method was used to determine the weights of the criteria. Criteria weights obtained by the Entropy method were used in EDAS and CODAS methods. The best alternative was identified by comparing the results of EDAS and CODAS methods.

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Banka Personel Seçiminin Çok Kriterli Karar Verme Yöntemlerinden Entropi Temelli ARAS Yöntemi İle Değerlendirilmesi

Cited by 40 publications

References 7 publications

Personnel Selection Method Based on Topsis Multi-Criteria Decision Making Method

Personnel Selection Method Based on Topsis Multi-Criteria Decision Making Method

Analysis of Risk Assessments in Textile Industry With ANP Method

Personnel Selection in the Software Industry by Using Entropy-Based Edas and Codas Methods

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