alphanumeric journal
The Journal of Operations Research, Statistics, Econometrics and Management Information Systems
Using an Integrated Grey AHP-MOORA Approach for Personnel Selection: An Application on Manager Selection in the Health Industry
Abstract
Right personnel selection is always an important problem for companies. Especially today, with globalizing world, developing technologies and increasing specialization, human resources management personnel can become inadequate about the right personnel selection. Especially in the areas of business, where human life is concerned, right personnel selection decision become more important and critical. One of the other important problems encountered during personnel selection process is the presence of decisions with subjective judgements. It is taken attention that MOORA method has the success of making the right decision when the studies in the literature is observed. Because of this, in this study, An integrated grey AHP–MOORA approach is presented for personnel selection. The reason of selection of grey numbers is its success of representing subjective judgements and including the bias caused by personal judgements by minimizing it during the selection process. Firstly, through this perspective, after the introduction section, a literature review evaluating the studies on personnel selection is allocated. In Section 3, operation with grey numbers are explained. In Section 4, grey AHP method and In Section 5, grey MOORA method are explained in detail. In Section 6, proposed integrated grey AHP–MOORA approach is given with step by step explanation. In Section 7, an application on manager selection in health industry is carried out as a real life problem and its results are validated by comparing with different methods.
Keywords: AHP, Grey Systems, Group Decision Making, MOORA, Manager Selection, Personnel Selection
Jel Classification: C44, M12, M51
Personel Seçimi için Bütünleşik Gri AHP-MOORA Yaklaşımının Kullanılması: Sağlık Sektöründe Yönetici Seçimi Üzerine Bir Uygulama
Öz
Doğru personel seçimi, işletmeler için her zaman önemli bir problem olmuştur. Özellikle günümüzde; globalleşen dünya, gelişen teknolojiler ve artan uzmanlaşmalarla da birlikte insan kaynakları yönetimi personelleri doğru personelin seçimi konusunda yetersiz kalabilmektedir. Özellikle, insan hayatının da söz konusu olduğu iş kollarında doğru personel seçim kararları çok daha önemli ve kritik bir hale gelmektedir. Personel seçimi sırasında karşılaşılan en önemli sorunlardan bir diğeri de kişisel yargılar içeren kararların mevcudiyetidir. Literatürde yer alan çalışmalar incelendiğinde MOORA yönteminin doğru karar vermedeki başarısı dikkat çekmektedir. Bu nedenle, bu çalışmada, personel seçimi için bütünleşik gri AHP–MOORA yaklaşımı önerisinde bulunulmuştur. Gri sayıların tercih edilmesinin nedeni, kişisel yargıları temsil yeteneğindeki başarısı ve seçimler sırasında kişisel yargılardan kaynaklı yanlılıkların minimize edilerek işlemlere dahil edilmesidir. Bu doğrultuda öncelikle, giriş bölümünden sonra, personel seçimi üzerine gerçekleştirilmiş olan çalışmaların değerlendirildiği literatür taramasına yer verilmiştir. Bölüm 3’te, gri sayılarla işlemler kısaca aktarılmıştır. Bölüm 4’te gri AHP yöntemi ve Bölüm 5’te gri MOORA yöntemi detaylı olarak anlatılmıştır. Bölüm 6’da, önerilen bütünleşik Gri AHP–MOORA yaklaşımının adım adım anlatımı verilmektedir. Bölüm 7’de gerçek hayat problemi olarak, sağlık sektöründe yönetici seçimi üzerine bir uygulama gerçekleştirilmiş ve sonuçları farklı yöntemlerle karşılaştırılarak doğrulanmıştır.
Anahtar Kelimeler: AHP, Gri Sistemler, Grup Karar Verme, MOORA, Personel Seçimi, Yönetici Seçimi
Suggested citation
(). Personel Seçimi için Bütünleşik Gri AHP-MOORA Yaklaşımının Kullanılması: Sağlık Sektöründe Yönetici Seçimi Üzerine Bir Uygulama. Alphanumeric Journal, 6(1), 69-82. http://dx.doi.org/10.17093/alphanumeric.378904
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2018.06.01.OR.06
alphanumeric journal
Pages 69-82
Received: Jan. 15, 2018
Accepted: March 13, 2018
Published: March 25, 2018
2018 Çelikbilek, Y.
This is an Open Access article, licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
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