ANALYSIS OF THE STUDIES ON GREEN JOBS BY BIBLIOMETRIC ANALYSIS METHOD

In this research, it is aimed to examine the bibliometric characteristics of studies related to green job published in the WoS database. In the WoS database, SSCI, A&HCI, BCI, BKCI-SSH, ESCI indexes were filtered , the codes "GREEN JOB" OR "GREEN WORK" OR "GREEN EMPLOYMENT" were searched. A data set was created with 85 studies within the scope of the subject by examining 99 studies. Within the scope of the research, the number of studies and citations on the concept of green jobs by years, the fields in which studies were conducted, the author with high relevance, the institutions of the co-authors who collaborated in the studies, the similarity network between the sources of the studies, the most commonly used keywords in the studies , the co-citation status of two studies in the journals in which the studies were published were examined with the VOSwiever package program. As a result of the research, it has been seen that the keyword "green jobs" is used the most, and the studies have followed an increasing publication and citation trend over the years. The most studies are in the field of environmental studies. The author with the highest total link strength is Taedong Lee. Eastern Mediterranean University is the strongest institution in co-authorship within the context of institutions. In bibliography matching, Norton's study in 2014 is the strongest. The strongest journal in co-citation analysis is the Journal of Cleaner Production.