Mapping the Knowledge Landscape: A Bibliometric Analysis of Research Trends in Entrepreneurship Education
Keywords:
Entrepreneurship education, bibliometric analysis, research trends, thematic clusters, entrepreneurial learningAbstract
Entrepreneurship education has gained increasing global attention as a critical driver of innovation, youth employment, and economic resilience. Despite the proliferation of research in this area, there remains a lack of comprehensive understanding regarding its intellectual structure, thematic evolution, and research gaps. This study conducts a bibliometric analysis of 992 scholarly articles on entrepreneurship education published between 2000 and 2023 and indexed in the Scopus database. Using VOSviewer software, the analysis maps co-authorship networks, keyword co-occurrences, and thematic clusters to reveal dominant research trends and emerging areas of interest. The results show a significant increase in publication output, particularly after 2018, reflecting heightened academic and policy engagement with entrepreneurial learning. Five major thematic clusters were identified: (1) entrepreneurial intention and behavior, (2) entrepreneurship in higher education, (3) digital and social entrepreneurship, (4) gender and inclusivity, and (5) pedagogical innovations. The findings highlight a shift in focus from traditional economic outcomes toward social impact, digital transformation, and inclusive practices. The study also uncovers regional imbalances in research contributions, with developed countries dominating the discourse. While bibliometric methods offer valuable macro-level insights, limitations include the exclusion of non-Scopus sources and the lack of qualitative depth. Future research should address these gaps through comparative and context-sensitive approaches, particularly in underrepresented regions. This study contributes to a more systematic understanding of entrepreneurship education and provides strategic directions for researchers, educators, and policymakers aiming to develop more inclusive and adaptive entrepreneurial learning ecosystems.
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