Machine learning for entrepreneurship research: Bibliometric analysis and future research opportunities

Key Points

• Machine learning techniques show promising potential for enhancing entrepreneurship research methodologies, presenting new avenues.
• Key insights point towards the significant impact of bibliometric analysis in understanding trends and patterns in entrepreneurship.
• Analysis employs bibliometric techniques to evaluate existing literature and identify gaps in entrepreneurship research.
• Findings highlight the need for integrating machine learning into entrepreneurship studies, suggesting new frameworks and tools for future exploration.