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人工智能技术能否用于打破旅游领域女性创业的包容性障碍?

Could AI technologies be harnessed to break down barriers to inclusivity for women entrepreneurship in tourism?

Tourism Management · 2025
被引 8
ABS 4

中文导读

基于罗尔斯正义理论,通过定性访谈和焦点小组讨论,研究了负责任的人工智能如何帮助女性旅游创业者应对工作与生活平衡等包容性障碍,并分析了伦理关切。

Abstract

Despite growing scholarly attention to artificial intelligence (AI) and gender-related challenges in tourism research, a void exists in how the responsible AI could be harnessed to enhance women’s inclusivity in tourism entrepreneurship. Drawing on Rawls’ theory of justice, this study aims to fill this glaring gap by exploring whether and how AI could contribute to fostering a more equitable, inclusive and ethically responsible entrepreneurial ecosystem for women, help break down existing barriers, and thus, support women’s entrepreneurial endeavors in the tourism sector. Based on qualitative data collected from semi-structured interviews and focus group discussions with elite informants, the study highlights significant positive externalities of AI technologies adoption, beyond the generally recognized benefits in customer engagement and personalized offerings, efficiency, and overall performance, to help female entrepreneurs in particular deal with work-life balance predicaments, unanimously considered the most significant barrier to inclusivity. The findings also emphasize how responsible AI design, adoption and governance can help deal with prevalent ethical concerns of AI in tourism, namely, bias, lack of transparency, fairness and privacy, the absence of a human-centered approach, and accountability. The latter two, alongside gender biases, emerge as the ‘most sensitive ethical parameters’ for women’s inclusivity in tourism entrepreneurship. By integrating Rawls’ perspective the study offers a novel analytical lens for understanding how responsible AI can foster a more just and equitable entrepreneurial ecosystem for women in tourism, and for evaluating attendant strategies contributing to sustainable and inclusive growth. Important theoretical contributions and actionable managerial implications flow from the findings.

旅游创业人工智能性别研究商业伦理