Technological Capability

The objective of this study was to examine the relationships between entrepreneurial self-efficacy, technological capability, and innovation capability among startup leaders. Specifically, the study aimed to determine the extent to which technological and innovation capabilities predict entrepreneurial self-efficacy, providing insights into the factors that drive entrepreneurial success in startup environments. A cross-sectional research design was employed, involving 290 startup leaders selected based on the sample size recommendations from the Morgan and Krejcie table. Participants completed a structured questionnaire assessing entrepreneurial self-efficacy, technological capability, and innovation capability. Data analysis included descriptive statistics, Pearson correlation, and multiple linear regression using SPSS version 27. Assumptions of linearity, normality, and homoscedasticity were checked and confirmed to ensure the validity of the regression model. Pearson correlation analysis showed significant positive relationships between entrepreneurial self-efficacy and both technological capability (r = 0.52, p < 0.001) and innovation capability (r = 0.56, p < 0.001). Multiple linear regression analysis revealed that technological capability (B = 0.37, SE = 0.08, β = 0.30, t = 4.63, p < 0.001) and innovation capability (B = 0.45, SE = 0.09, β = 0.35, t = 5.14, p < 0.001) were significant predictors of entrepreneurial self-efficacy, explaining 40% of its variance (R^2 = 0.40, F(2, 287) = 46.83, p < 0.001). The study concludes that both technological capability and innovation capability significantly enhance entrepreneurial self-efficacy among startup leaders. These findings underscore the importance of fostering these capabilities to drive entrepreneurial success. The study contributes to the literature by highlighting the critical role of self-efficacy and providing practical implications for entrepreneurs, policymakers, and educators aiming to support entrepreneurial development.