Meharunisa Sayeda, Almugren Hawazen, Sarabdeen Masahina, Mabrouk Fatma, Kijas A C Muhammadu
Department of Management, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Department of Economics, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Front Psychol. 2024 Sep 30;15:1432541. doi: 10.3389/fpsyg.2024.1432541. eCollection 2024.
Gender prejudice and stereotypes are prevalent in the workplace, particularly for women in the Artificial Intelligence (AI) industry, where they can significantly hinder professional development and limit prospects for growth. These challenges contribute to the underrepresentation of executives in AI. However, with the right measures, these barriers can be overcome, leading to a more inclusive and diverse AI industry. Women in this demanding technological domain often face additional difficulties in achieving a work-life balance, further constraining their professional advancement and engagement in the industry. This research aims to examine the implications of AI capabilities on work-life balance and the empowerment of female faculty members in enhancing the efficiency of educational institutions. The research performs a structural equation modeling (SEM) approach, using a survey conducted on female faculty of Saudi Arabian universities. The study specifically considers moderating variables such as age, education level, experience, and marital status. The findings, which reveal that AI managerial capability, as well as AI infrastructure agility, impacts work-life balance and empowerment of women faculties in educational institution efficiency, underscore the significance of considering demographic factors when analyzing women's empowerment and work-life balance as outcomes. By exploring these factors, the research provides a comprehensive understanding of how AI capabilities impact women's empowerment and their ability to maintain a work-life balance, ultimately contributing to the efficiency and effectiveness of educational institutions. These results emphasize the value of increasing women's empowerment and raising the standard of performance evaluation systems in educational sectors.
性别偏见和刻板印象在工作场所普遍存在，尤其是在人工智能（AI）行业的女性中，这些偏见和刻板印象会严重阻碍她们的职业发展并限制其成长前景。这些挑战导致人工智能领域高层管理人员的代表性不足。然而，采取正确的措施可以克服这些障碍，从而打造一个更具包容性和多样性的人工智能行业。在这个要求苛刻的技术领域，女性在实现工作与生活的平衡方面往往面临额外的困难，这进一步限制了她们在该行业的职业发展和参与度。本研究旨在探讨人工智能能力对工作与生活平衡的影响，以及女性教职员工在提高教育机构效率方面的赋权情况。该研究采用结构方程模型（SEM）方法，对沙特阿拉伯大学的女性教职员工进行了一项调查。该研究特别考虑了年龄、教育水平、经验和婚姻状况等调节变量。研究结果表明，人工智能管理能力以及人工智能基础设施的灵活性会影响教育机构效率中女性教职员工的工作与生活平衡和赋权情况，这突出了在将女性赋权和工作与生活平衡作为结果进行分析时考虑人口因素的重要性。通过探究这些因素，该研究全面了解了人工智能能力如何影响女性赋权以及她们维持工作与生活平衡的能力，最终有助于提高教育机构的效率和效能。这些结果强调了增强女性赋权以及提高教育部门绩效评估系统标准的价值。
