Exploring the role of artificial intelligence technology in empowering women-led startups
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DOIhttp://dx.doi.org/10.21511/kpm.08(2).2024.03
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Article InfoVolume 8 2024, Issue #2, pp. 28-38
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The study aims to investigate how artificial intelligence (AI) influences women-led startups in Saudi Arabia, aiming to understand their unique experiences, challenges, and opportunities within the AI technology landscape. This study used a qualitative method, conducting 16 in-depth interviews with women entrepreneurs operating businesses in Saudi Arabia. The analysis was performed using thematic analysis with NVivo 12, uncovering key themes and insights. The findings reveal that cultural norms, societal expectations, limited awareness, and financial constraints are directly associated with women’s involvement in AI-driven businesses. Cultural biases emerged as impediments, underscoring the need for targeted interventions such as awareness campaigns and educational initiatives to dismantle ingrained biases and foster an environment that recognizes and celebrates the contributions of women in the tech and AI sectors. Educational programs, collaborations between academia and industry, and mentorship initiatives were identified as pivotal components to prepare women entrepreneurs to navigate the intricate landscape of AI adoption. Financial inclusion emerged as a critical pillar, advocating for equitable access to funding and resources tailored specifically for women-led AI startups. The study further emphasizes the importance of fostering supportive ecosystems that extend beyond financial aid. Creating networks for mentorship, guidance, and collaboration provides women entrepreneurs with platforms to share experiences and resources, enhancing resilience and the potential for success in the AI landscape.
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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JEL Classification (Paper profile tab)O14, M10, M13, M15
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References44
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Tables2
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Figures0
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- Table 1. Characteristics of study participants
- Table 2. Theme, categories, and codes
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