Impact of women’s economic empowerment on technology entrepreneurship intentions via mediation of self-efficacy

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This study investigates the relationships between women economic empowerment, self-efficacy, and women technology entrepreneurship intention among women operating online businesses in Saudi Arabia. A cross-sectional study design was utilized, with data collected from 256 women entrepreneurs engaged in various online business ventures through a convenience sampling technique. This sample was chosen due to its direct relevance to the study’s objective of understanding the entrepreneurial intentions of economically active women in the digital space. The analysis, conducted using structural equation modeling, revealed several important findings. Women economic empowerment was found to have a significant positive effect on self-efficacy (β = 0.607), indicating that increased economic resources and opportunities enhance women’s confidence in their abilities. Additionally, self-efficacy was identified as a significant predictor of women technology entrepreneurship intention (β = 0.44), suggesting that women with higher self-confidence are more likely to pursue technology entrepreneurship. Moreover, women economic empowerment was found to have a direct effect on technology entrepreneurship intention (β = 0.351). Importantly, self-efficacy mediated the relationship between economic empowerment and entrepreneurial intentions (β = 0.267), highlighting that economic empowerment influences entrepreneurial aspirations both directly and indirectly through its impact on self-efficacy. These findings underscore the importance of economic support and confidence-building initiatives in promoting technology entrepreneurship among women. The study suggests that targeted policies and programs should focus on enhancing economic opportunities and building self-efficacy to foster greater participation in technology entrepreneurship.

Acknowledgment
The authors extend their appreciation to the Arab Open University for funding this work through research fund No. (AOUKSA-524008).

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    • Figure 1. Research model
    • Figure 2. Structural model
    • Table 1. Participants profile (n = 256)
    • Table 2. Measurement model
    • Table 3. Discriminant validity (Fornell-Larcker criterion)
    • Table 4. Path coefficients
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