This study investigates the determinants of entrepreneurial success in Tunisia through an integrated methodological approach combining Multiple Correspondence Analysis (MCA) and Binary Logistic Regression. Based on primary data collected from 61 Tunisian entrepreneurs over one-year period (2023–2024), the analysis examines the influence of personal, managerial, and environmental factors on business performance. The MCA results identify two dominant dimensions: Motivation/Innovation and State/Macro-Environmental Support. Logistic regression confirms that personal factors, particularly technical and professional skills, motivation, and moderate risk-taking, are the most significant predictors of entrepreneurial success. Conversely, environmental and managerial factors—such as state support, macroeconomic conditions, and business planning—were not found to have a statistically significant effect, suggesting structural inefficiencies and institutional barriers within Tunisia’s entrepreneurial ecosystem. The findings underscore the critical role of human capital and intrinsic motivation in sustaining entrepreneurship in transitional economies, while also highlighting the need for policy reforms to improve the effectiveness of public support mechanisms. This study contributes to the empirical literature on entrepreneurship in North Africa by offering a dynamic, performance-based analysis of entrepreneurial outcomes in Tunisia.
