It includes the systematic examination and mapping of the literature studies written for Society 5.0 using the CiteSpace application, with the scientometrics analysis method, the identification of the network of relations, and the discovery and intellectual analysis of their bibliographic contents. 151 bibliographic records from the Scopus database were analyzed between January 2017 and May 2021. Qualitative analysis of the obtained quantitative data based on the interpretative paradigm was made. Analysis of countries, intellectual analysis, keywords; burst point and cluster analyzes were performed. The case is gaining increasing importance in the multi-disciplinary field. Since the phenomenon of Society 5.0 is still current and concerns the future period, it is seen that it is a developing field in the literature. In the literature about this case; The fact that scientometrics studies and CiteSpace analysis have never been done has increased the originality of the study. It will be important for super-smart society goals to specialize in the fields studied and to increase the working tendencies in the fields that are lacking (sociology, psychology, gerentology, etc. social sciences).
The phenomenon of globalization, which gained momentum after the 1980s, became widespread in all parts of the society and research of working life has become a normal situation. The phenomenon of globalization has been included in the socio-economic structure of the society through internet networks. It is considered necessary for individuals to turn into an online business structure that emerges through digital platforms in order to continue their lives, to maintain welfare and peace. Thus, an increase in the trends of research on the structure of working life in terms of social sustainability in the changing world order has been observed. The aim of the study is to obtain a holistic perspective in the multidimensional areas of the Gig economy, which is the counterpart of the online working platform. For this purpose, all data (820/732) obtained from the Web of Science database specific to the gig economy were included in the research. Multiple data were analyzed using the CiteSpace application. Trends in the Gig economy within the framework of social network theory, analysis in the context of the country, author analysis, cluster analysis and representative document analysis are presented. In this context, it is important to be able to make scientometric analyzes within the scope of the literature on the gig economy in order to obtain systematic findings for future research on the current labor market. With the research, literature trends, country analyzes and relationship networks, author productivity and the interpretative equivalent of keywords in the literature are revealed. According to the analysis findings; For the gig economy phenomenon, researches have been carried out in different fields in the socio-economic structure, and it can be stated that the studies may increase cumulatively in the future in terms of its social importance and prevalence.
151 bibliographic records from the Scopus database were analyzed between January 2017 and May 2021. Qualitative analysis of the obtained quantitative data based on the interpretative paradigm was made. Analysis of countries, intellectual analysis, keywords; burst point and cluster analyzes were performed. The case is gaining increasing importance in the multi-disciplinary field. Since the phenomenon of Society 5.0 is still current and concerns the future period, it is seen that it is a developing field in the literature. In the literature about this case; The fact that scientometrics studies and CiteSpace analysis have never been done has increased the originality of the study. It will be important for super-smart society goals to specialize in the fields studied and to increase the working tendencies in the fields that are lacking (sociology, psychology, gerentology, etc. social sciences).
Bu çalışmada, OECD ile ilişkili ülkelerin NEET durumları ekonomik ve sosyokültürel değişkenlerin birlikteliğiyle ele alınmış ve bulanık küme nitel karşılaştırmalı analiz (fsQCA) yöntemi ile incelenmiştir. Çalışmada, raporlar, endeksler ve veri bankalarından alınan ikincil veriler kullanılmıştır. Çalışmadaki tüm konfigürasyonlar değerlendirildiğinde, ekonomik gelişmişlik düzeyi düşük/yüksek olmasına rağmen liberal veya muhafazakâr politika güden ülkelerde NEET olma durumu ortaya çıkarken, NEET olmama durumunun daha çok geniş sosyal politika önlemleri içeren ekonomik gelişmişlik düzeyi yüksek ve sosyal demokrat refah devleti politikaları günden ülkelerde ortaya çıktığı görülmüştür. Sosyal politikalar kapsamında korunması gereken bir örneklem olan NEET’lerin ancak devlet eliyle yapılan kapsamlı korumalarla ortadan kaldırılabileceği görülmüştür.
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