Digital freelancing has emerged as an important source of employment, income generation, and participation in Bangladesh’s digital economy. However, empirical evidence on the factors influencing digital freelancing outcomes in developing-country contexts remains limited. This study examines the determinants of digital freelancing outcomes in Bangladesh using a quantitative, cross-sectional research design. Primary data were collected through a structured questionnaire from 250 digital freelancers and analyzed using SPSS through descriptive statistics, reliability analysis, exploratory factor analysis, correlation analysis, and multiple regression analysis. The findings indicate that all five examined factors- economic factors, flexibility factors, motivational factors, infrastructure and institutional support, and social factors- significantly and positively affect digital freelancing outcomes. Among these, infrastructure and institutional support is the strongest predictor, followed by economic factors. The findings suggest that favorable freelancing outcomes depend on a combination of economic opportunities, work flexibility, individual motivation, supportive infrastructure and institutions, and social influences. This study contributes to the emerging literature on digital labor by providing empirical evidence on the multidimensional determinants of digital freelancing outcomes in a developing-country context. The findings also provide practical implications for policymakers, digital labor platforms, educational institutions, and other stakeholders seeking to strengthen the digital freelancing ecosystem,
enhance freelancer capabilities, and promote sustainable participation in Bangladesh’s digital workforce