Analysis of Global Family Business Research Trends Through Big Data Analytics: Focusing on Family Business Review

This study analyzes research papers published in the Family Business Review, which focuses on family business studies, utilizing big data. The data used for the analysis was collected from ScienceOn, encompassing summaries and paper information, and various analytical methods were employed, including frequency analysis, TF-IDF, wordcloud, and LDA analysis. The results of this study indicate that the Family Business Review exhibits a gradual evolutionary pattern in the following order: conceptual establishment, management strategy formulation, theory development, and expansion of research topics. Furthermore, it was found that family business research is being conducted across various dimensions, including non-family members, succession, and performance. Lastly, the research on family businesses within the Family Business Review is confirmed to be actively pursued in the major areas of management, succession, theory, and other fields. The findings of this study are expected to contribute to the discovery and expansion of new topics in domestic family business research.