This study aims to explore the impact of recommendation systems on improving entrepreneurial decision-making processes, with a focus on accuracy, usability, and the resultant long-term effects on business sustainability and growth. Utilizing a qualitative research design, data were collected through semi-structured interviews with 19 entrepreneurs from various sectors. Data analysis was conducted using content analysis to identify main themes and sub-themes related to the use and impact of recommendation systems in entrepreneurial settings. The study identified three main themes: the effectiveness of recommendation systems, long-term impacts, and challenges and limitations. Under the effectiveness of recommendation systems, categories such as the accuracy of recommendations, ease of use, and the impact on decision-making were discussed. Long-term impacts explored included business sustainability, business growth and innovation, while challenges and limitations focused on technical and technological issues, organizational resistance, and privacy and ethical concerns. The findings underscore the significant role of recommendation systems in facilitating informed and efficient decision-making among entrepreneurs, highlighting the potential of these systems to contribute to business growth and innovation while also acknowledging the challenges and limitations that need to be addressed.