비서학 30년, 주제어 네트워크분석

As reflected by the Journal of Secretarial Studies’ 30 year history, this study was conducted to consider the research trends and intellectual structre of Secretarial Studies and its academic outcomes. For this purpose, a semantic network analysis was employed to analyze author keywords in the abstracts of published articles in the Journal of Secretarial Studies from 2003 to 2021. This study employed NetMiner 4.4.3 to conduct a semantic network analysis. A total 1,033 keywords were collected in the Journal of Secretarial Studies. Among them, 242 words were selected as keyword sets based on a appearance frequency. And then a semantic network analysis was conducted with similarity coefficient matrix of that keywords. The results of this study are as follows. First, ‘secretary’, ‘secretarial education’, ‘Secretarial Studies’ and ‘job satisfaction’ ‘department of secretarial science’ are among the most frequently used keywords during this period. Second, With regards to degree centrality ‘organizational citizenship behavior’, ‘self-efficacy on career decision-making’, ‘trust in supervisors’ and ‘turnover intent’ were among the highest. Third, the results of component and community analysis show 10 core subject areas. Finally, word cloud and network diagram were visualized.