OECD Üye Ülkeleri Bağlamında Freelance Çalışanları Etkileyen Faktörlere Yönelik Simetrik Analiz

Abstract

Bu araştırma, dijital altyapı/hizmetler ve birtakım ekonomik faktörlerin freelance çalışanlar için uygun koşul yaratmalarına yönelik etkilerini incelemektedir. Dijitalleşmenin sosyoekonomik yapıya yansıması ile birlikte yeni çalışma biçimlerine artan ilgiler gözetilerek araştırma yürütülmüştür. Çalışma çeşitli değişkenlerden -serbest çalışan sayısı (NSEP), yaşam maliyeti (CLM), ortak çalışma alanları (NCS), ortalama broadband hızı (ABS) ve fiyatları (ABP), ortalama mobil hızı (AMS) ve tüm bileşenlerin sonucunda ortaya çıkan freelance skor (FS)- ve farklı veri tabanlarından 28 OECD ülkesini kapsama almıştır. Araştırmada nedensel koşulların sonuca yönelik etki düzeyinin belirlenmesi için simetrik (PLS-SEM) analiz yapılmıştır. Araştırmanın bulgularına göre birinci safhada nedensel koşulların freelance skor için %90,4 oranında açıklayabilirliği belirlenmiştir. ABP ve CLM’nin FS’ye etkisi anlamlı ve negatif olarak belirlenmiştir. ABS, AMS, AS, NCS ve NSEP’in FS’ye etkisi anlamlı ve pozitif olarak tespit edilmiştir. Önem performans haritasına göre FS için NSEP en büyük etkiye sahip iken ABS en hızlı performans gösteren değişken olarak belirlenmiştir. Araştırma freelance çalışanlar için en uygun koşullar belirlenerek OECD ülkeleri nezdinde kariyer planlamalarını yapabilmesine yardımcı olmaktadır.

Keywords

• Freelance Çalışma
• Freelance Skor
• Kariyer Planlama
• Yapısal Eşitlik Modellemesi
• Smart-PLS

Symmetric Analysis of Factors Affecting Freelance Workers in the Context of OECD Member Countries

Abstract

This research examines the effects of digital infrastructure/services and certain economic factors on creating favorable conditions for freelancers. The research was carried out in view of the growing interest in new forms of work as digitalization is reflected in the socio-economic structure. The study covers 28 OECD countries from a variety of variables-number of freelancers (NSEP), cost of living (CLM), co-working spaces (NCS), average broadband speed (ABS) and prices (ABP), average mobile speed (AMS) and the resulting freelancing score (FS)-and different databases. Symmetric (PLS-SEM) analysis was conducted to determine the level of influence of causal conditions on the outcome. According to the findings of the study, in the first phase, the explanatory power of the causal conditions for the freelance score was 90.4%. The effects of ABP and CLM on FS were significant and negative. ABS, AMS, AS, NCS and NSEP have significant and positive effects on FS. According to the importance performance map, NSEP has the largest effect on FS, while ABS is the fastest performing variable. The research helps freelancers to make their career planning in OECD countries by determining the most favorable conditions for freelancers.

Keywords

• Freelance Work
• Freelance Score
• Career Planning
• Structural Equation Modeling
• Smart-PLS

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