Harnessing Artificial Intelligence for Entrepreneurial Decision Making

This study has conducted a comprehensive bibliometric analysis of the research on AI and entrepreneurial decision-making, revealing the significant growth and evolution of this field over the past decade. The findings highlight the key application areas of AI in entrepreneurship, including opportunity identification and evaluation, risk assessment and mitigation, and strategic planning and decision-making. By leveraging AI techniques such as machine learning, natural language processing, and predictive modeling, entrepreneurs can make more informed, data-driven decisions across various stages of the entrepreneurial process. The insights derived from this study contribute to a deeper understanding of how AI can be effectively harnessed to support entrepreneurs in navigating the complexities of decision-making, ultimately enhancing the success and sustainability of their ventures. However, future research should focus on addressing the challenges associated with AI adoption in entrepreneurship, such as data quality, interpretability, and the integration of human expertise, to ensure the responsible and effective use of AI in supporting entrepreneurial decision-making.