Human Resources Management Application Selection with fuzzy MAIRCA Method Based on fuzzy PIPRECIA

Simge Yenilmezel; İrfan Ertuğrul

Makale detayları

Human Resources Management Application Selection with fuzzy MAIRCA Method Based on fuzzy PIPRECIA

Yazarlar:

Simge Yenilmezel | İrfan Ertuğrul

Yayıncı:

Pamukkale University

Ana Başlıklar:

Yöneylem Araştırması

Dergi:

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.11 Issue 1, pp.67-81

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322330

pISSN:

2757-7260

Anahtar kelimeler:

Özet:

 Today, the intense competitive environment for businesses creates complexity in the decision-making process. It is recommended to use Multi-Criteria Decision Making MCDM methods, which are one of the most effective and practical methods in solving complexities. In uncertain and indefinite situations, using Fuzzy MCDM methods instead of Classic MCDM methods provides an advantage in decision making. With fuzzy MCDM methods, subjective evaluations expressed verbally by decision makers are analyzed by integrating them with numerical values. In this study, the selection of human resources management application for a business operating in the fields of logistics, warehousing, sales and commercial marketing was made using the Fuzzy PIPRECIA and Fuzzy MAIRCA methods, which are among the Fuzzy MCDM methods. In the study, seven criteria and four alternatives were identified by taking the opinions of four decision makers. Among the seven criteria evaluated, the most important criterion was K7, which represents the technical support criterion, while the most suitable alternative among the four alternatives was determined as A1.

 Today, the intense competitive environment for businesses creates complexity in the decision-making process. It is recommended to use Multi-Criteria Decision Making MCDM methods, which are one of the most effective and practical methods in solving complexities. In uncertain and indefinite situations, using Fuzzy MCDM methods instead of Classic MCDM methods provides an advantage in decision making. With fuzzy MCDM methods, subjective evaluations expressed verbally by decision makers are analyzed by integrating them with numerical values. In this study, the selection of human resources management application for a business operating in the fields of logistics, warehousing, sales and commercial marketing was made using the Fuzzy PIPRECIA and Fuzzy MAIRCA methods, which are among the Fuzzy MCDM methods. In the study, seven criteria and four alternatives were identified by taking the opinions of four decision makers. Among the seven criteria evaluated, the most important criterion was K7, which represents the technical support criterion, while the most suitable alternative among the four alternatives was determined as A1.

 Today, the intense competitive environment for businesses creates complexity in the decision-making process. It is recommended to use Multi-Criteria Decision Making MCDM methods, which are one of the most effective and practical methods in solving complexities. In uncertain and indefinite situations, using Fuzzy MCDM methods instead of Classic MCDM methods provides an advantage in decision making. With fuzzy MCDM methods, subjective evaluations expressed verbally by decision makers are analyzed by integrating them with numerical values. In this study, the selection of human resources management application for a business operating in the fields of logistics, warehousing, sales and commercial marketing was made using the Fuzzy PIPRECIA and Fuzzy MAIRCA methods, which are among the Fuzzy MCDM methods. In the study, seven criteria and four alternatives were identified by taking the opinions of four decision makers. Among the seven criteria evaluated, the most important criterion was K7, which represents the technical support criterion, while the most suitable alternative among the four alternatives was determined as A1.

 Günümüzde işletmeler için yoğun rekabet ortamının olması karar verme aşamasında karmaşıklık oluşturmaktadır. Karmaşıklıkların çözülmesinde en etkin ve pratik yöntemlerden olan Çok Kriterli Karar Verme ÇKKV yöntemlerinin kullanılması önerilmektedir. Belirsiz ve kesin olmayan durumlarda Klasik ÇKKV yöntemlerinin yerine Bulanık ÇKKV yöntemlerinin kullanılması karar vermede avantaj sağlamaktadır. Bulanık ÇKKV yöntemleri ile karar vericilerin sözel olarak ifade ettiği sübjektif değerlendirmeler sayısal değerlerle entegre edilerek çözümlenmektedir. Bu çalışmada, lojistik, depolama, satış ve ticari pazarlama alanında faaliyet sürdüren bir işletme için insan kaynakları yönetimi uygulaması seçimi Bulanık ÇKKV yöntemlerinden Bulanık PIPRECIA ve Bulanık MAIRCA yöntemleri kullanılarak yapılmıştır. Çalışmada dört karar vericinin görüşleri alınmış yedi kriter ve dört alternatif belirlenmiştir. Değerlendirilen yedi kriterden en önemli kriter teknik destek kriterini ifade eden K7 olurken dört alternatif arasından en uygun alternatif A1 olarak belirlenmiştir.

Makale detayları

Human Resources Management Application Selection with fuzzy MAIRCA Method Based on fuzzy PIPRECIA

Yazarlar:

Simge Yenilmezel | İrfan Ertuğrul

Yayıncı:

Pamukkale University

Ana Başlıklar:

Yöneylem Araştırması

Dergi:

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.11 Issue 1, pp.67-81

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322330

pISSN:

2757-7260

Fuzzy MCDM

Fuzzy PIPRECIA

Fuzzy MAIRCA

Choosing a Human Resources Management ApplicationBulanık ÇKKV

Bulanık PIPRECIA

Bulanık MAIRCA

İnsan Kaynakları Yönetimi Uygulaması Seçimi.

Sayı

Makale detayları

Yazarlar: Simge Yenilmezel | İrfan Ertuğrul

Yayıncı: Pamukkale University

Ana Başlıklar: Yöneylem Araştırması

Dergi: Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.11 Issue 1, pp.67-81

Belge Tipi: Makale

Yayın Tarihi: 6/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001322330

pISSN: 2757-7260

Sayı

Yazarlar:

Simge Yenilmezel | İrfan Ertuğrul

Yayıncı:

Pamukkale University

Ana Başlıklar:

Yöneylem Araştırması

Dergi:

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.11 Issue 1, pp.67-81

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322330

pISSN:

2757-7260