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This research focuses on employability skills and improvisation through the application of AI to enhance and foster entrepreneurial intentions among the female populace in the current flexible work environment. In the study, SEM with MGA is employed to examine the effects of AIPA on SGIAI, JRC, and EI. Results show that this study has established a positive relationship between AIPA and SGIAI, SGIAI and JRC, and JRC and EI, whereby the coefficients were 0.873, 0.871, and 0.907, respectively. This indicates that women’s engagement in technology engineering positively correlates to SGIAI, with a significant value of β = 0.255, p = 0.001, demonstrating the gender differential in IT engagement. MGA had a more prominent inter-gender disparity in AIPA → SGIAI (F = 5, p 0.025) and JRC → EI (F = 7, p = 0.004), which indicated that women are facilitated differently by AI integration. These findings can aid the development of an AI-grounded policy focusing on gender equality in presenting the demand for digital work skills and the corresponding general outlines of the desired work environment.

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Bridging the Skill Gap with AI: Investigating Women’s Engagement, AI Job Role Replacement, and Entrepreneurial Intentions in an AI-Driven Workforce

  • 章节

  • 发表日期：

    2026年

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  • Boumedyen Shannaq,
  • Ahmed Alabri,
  • Said AlMaqbali

摘要

This research focuses on employability skills and improvisation through the application of AI to enhance and foster entrepreneurial intentions among the female populace in the current flexible work environment. In the study, SEM with MGA is employed to examine the effects of AIPA on SGIAI, JRC, and EI. Results show that this study has established a positive relationship between AIPA and SGIAI, SGIAI and JRC, and JRC and EI, whereby the coefficients were 0.873, 0.871, and 0.907, respectively. This indicates that women’s engagement in technology engineering positively correlates to SGIAI, with a significant value of β = 0.255, p = 0.001, demonstrating the gender differential in IT engagement. MGA had a more prominent inter-gender disparity in AIPA → SGIAI (F = 5, p 0.025) and JRC → EI (F = 7, p = 0.004), which indicated that women are facilitated differently by AI integration. These findings can aid the development of an AI-grounded policy focusing on gender equality in presenting the demand for digital work skills and the corresponding general outlines of the desired work environment.