Research on Authentic Leadership in Türkiye: A Descriptive Content Analysis Study

Abstract

This research aims to determine the trends in the studies on authentic leadership carried out between 2010 and 2022 in Türkiye. Descriptive content analysis, one of the systematic review types, was applied in the research. As a result of the reviews made based on the research criteria, 144 studies were obtained. The “Authentic Leadership Publication Classification Form” developed by the researcher was utilised as the data collection tool. Data was analysed using frequencies, percentages, tables and figures (graphs). As a result of the research, it was determined that the studies on authentic leadership were mainly single-author articles and written by male researchers. It was observed that theses on authentic leadership were mostly written at Hacettepe University and İstanbul Sabahattin Zaim University, while the articles were mostly published in the Journal of Academic Social Sciences and the Journal of Procedia-Social and Behavioural Sciences. It was determined that the highest number of studies on authentic leadership were carried out in 2019, the number of studies published in the Turkish language and the field of business administration was higher, and the most studied topics along with authentic leadership were psychological capital, organisational commitment, innovation, organisational citizenship and job satisfaction, respectively. It was also identified that the quantitative method and relational screening model were frequently applied in the research and that the participants mainly consisted of the employees of the companies and enterprises. The sampling method was not mentioned in most of the research, but the studies specifying the sampling method mostly benefited from the random and convenience sampling methods. Moreover, it was noticed that the studies were mostly conducted with varying numbers of participants, ranging from 201 to 300, using surveys and scales as the data collection tools and SPSS as the statistical software.