성인의 회복탄력성 리더십에 관한 국내 연구동향 분석: 키워드 네트워크 분석 및 토픽모델링을 중심으로

초록

The purpose of this study is to explore the research trends on the resilient leadership in the domestic journals by using keyword network analysis and topic modeling. For this purpose, 110 articles related to resilient leadership, published in Korea between 2013 and 2024, were analyzed in the Korea Citation Index(KCI) database. The keyword network and topic modeling analysis were conducted using th NetMiner 4.1 program. In the keyword analysis, keyword frequency analysis, keyword co-occurrence analysis, and centrality analysis(degree centrality, betweenness centrality, closeness centrality) were performed. In the topic modeling analysis, latent topics and key words within the articles were extracted using the Latent Dirichlet Allocation(LDA) techniques. As a result of the keyword network analysis, key terms such as organization, job, self-leadership, nursing, education, effect and impact emerged as major key words. A result of the topic modeling analysis, four main topics were identified: Topic-1(individual traits and ability), Topic-2(psychological/behavioral factors), Topic-3(emotional and relational factors), Topic-4(job/organizational environment related variables and leadership). Based on the analysis results, it was confirmed that the research has been centered on topics such as the resilient leadership related to the construct of positive psychological capital. It was suggested that future research should focus on continuous improvement and validation of the effects of resilient leadership in the context of HR and organizational behavior. Based on these findings, suggestion for further research were derived.

키워드