TÜRKİYE'DEKİ KADIN İSTİHDAMINDA BÖLGESEL FARKLILIKLARIN İNSAN KAYNAKLARI YÖNETİMİ PERSPEKTİFİNDEN TOPSIS YÖNTEMİ İLE İNCELENMESİ

Öz

Bu çalışma, Türkiye’de kadın istihdamındaki bölgesel farklılıkları insan kaynakları yönetimi perspektifinden incelemektedir. Araştırmanın temel amacı, kadın işgücüne katılım oranları, istihdam ve işsizlik gibi göstergelerin bölgesel dağılımını değerlendirerek ekonomik, sosyal ve kültürel faktörlerin etkisini ortaya koymaktır. 2009–2023 döneminde, 26 NUTS-2 bölgesi için tanımlayıcı istatistiksel yöntemler kullanılarak yürütülen çalışma, kadın işgücü göstergelerindeki değişimleri detaylı bir şekilde analiz etmiştir. Ayrıca, çok kriterli karar verme tekniği olan TOPSIS yöntemiyle, her bölgenin kadın istihdam performansı ideal pozisyona yakınlık açısından sıralanmıştır. Bulgular, metropol alanlarda yüksek işgücü katılım oranlarının artan işsizlikle ilişkilendirildiğini; kırsal bölgelerde ise eğitim düzeyinin kadınların istihdam edilebilirliğinde belirleyici rol oynadığını göstermektedir. Çalışmada, ekonomik sektör yapısı ve bölgesel kalkınma düzeyinin kadın istihdamındaki farklılıkları belirlediği tespit edilmiş; stratejik olarak mesleki eğitim programlarının bölgesel ihtiyaçlara uygun hale getirilmesi, esnek çalışma modellerinin yaygınlaştırılması, finansal teşvikler ve kurumsal çeşitlilik politikalarının uygulanması önerilmiştir. Ayrıca, çalışma, elde edilen bulgular ışığında bölgesel farklılıkların giderilmesine yönelik uygulanabilir politika önerileri sunarak literatüre özgün bir katkı sağlamaktadır.

Anahtar Kelimeler

• Kadın istihdamı
• Bölgesel farklılıklar
• İnsan kaynakları yönetimi
• Tanımlayıcı istatiksel analiz
• TOPSIS yöntemi

INVESTIGATION OF REGIONAL DIFFERENCES IN WOMEN'S EMPLOYMENT IN TURKEY FROM THE PERSPECTIVE OF HUMAN RESOURCES MANAGEMENT BY TOPSIS METHOD

Abstract

This study analyses regional differences in women's employment in Turkey from a human resource management perspective. The main objective of the study is to reveal the impact of economic, social and cultural factors by evaluating the regional distribution of indicators such as female labour force participation rates, employment and unemployment. Using descriptive statistical methods for 26 NUTS-2 regions in the period 2009-2023, the study analysed the changes in female labour force indicators in detail. Furthermore, using TOPSIS, a multi-criteria decision-making technique, the female employment performance of each region is ranked in terms of proximity to the ideal position. The findings show that high labour force participation rates in metropolitan areas are associated with rising unemployment, while in rural areas, education level plays a decisive role in women's employability. The study finds that the economic sector structure and the level of regional development determine the differences in women's employment and strategically recommends that vocational training programmes should be tailored to regional needs, flexible working models should be expanded, financial incentives and institutional diversity policies should be implemented. In addition, the study makes a unique contribution to the literature by providing applicable policy recommendations to eliminate regional disparities in the light of the findings obtained.

Keywords

• Regional disparities
• Human resource management
• Descriptive statistical analysis
• TOPSIS method
• Women's Employment

Kaynakça

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