Abstract: In this article we identify historical and current research trends in intrapreneurship. As a major factor impacting organizational performance and sustainability in innovation from the perspectives of both organizations and employees, intrapreneurship has attracted increasing attention from scholars and practitioners. The exponentially increasing number of studies suggests that systematic classification is necessary. This study uses a text mining methodology known as latent Dirichlet allocation (LDA), an exploratory methodology using topic modeling to identify research topics of interest. We herein applied LDA to 3,246 abstracts of intrapreneurship studies conducted from 1969 to 2020. To configure the temporal weight of the researched topics, we conducted time-series analyses on each topic. Finally, we derived 32 topics, with the results indicating that intrapreneurship research can be divided into four subcategories of (1) abstract format, (2) research method, (3) topics in intrapreneurship research, and (4) research domain and context. Among these 32 topics, ‘Mediation & Moderation Analysis,’ ‘Open Innovation,’ ‘Network & Knowledge Management,’ and ‘Sustainability & Environmental Dynamism’ are emerging and being actively studied. In addition, we performed linear, quadratic, and cubic regression analyses and confirmed each topical trend. The current study stands to contribute to the HRD scholarship by discovering the main topics in intrapreneurship research and suggesting directions to broaden the boundaries of the existing literature. RQ1. What is the topical composition of intrapreneurship studies that can specify the direction of the vastly increasing literature? RQ2. How does the overall subject-specific trend of intrapreneurship studies change over time?
