Ấn phẩm:
Moderating the AI revolution: Perceived threat and generative AI implementation in Vietnamese hospitals
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Generative artificial intelligence (AI) has the potential to revolutionize healthcare by improving diagnostic accuracy, streamlining administrative tasks, and enhancing patient communication. However, healthcare professionals often harbor concerns about AI-related job displacement, data security, and ethical implications,
creating a perceived AI threat that may impede its widespread adoption. This study integrates the unified theory
of acceptance and use of technology with perceived AI threat as both a direct and moderating factor, thereby
examining how threat perceptions interact with established adoption drivers in the context of healthcare in
Vietnam. A cross-sectional survey was administered to 573 healthcare professionals from major hospitals across
Hanoi, Vietnam. Partial least squares structural equation modeling was employed to test the proposed framework, which included performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating
conditions (FC), and perceived AI threat. The results indicate that PE, EE, and SI had significant positive effects
on behavioral intention, whereas FC was not a significant predictor. Perceived AI threat demonstrated a strong
negative impact on adoption intentions, particularly by moderating and weakening the positive effects of PE and
SI. The model explained 79.8 % of the variance in AI adoption intention, suggesting a substantial predictive
power. Overall, the findings highlight the importance of addressing existential fears regarding AI in healthcare.
Interventions targeting user training, transparent communication, and regulatory support may help mitigate
perceived threats and harness AI’s benefits. Interventions targeting user training, transparent communication,
and regulatory support may help mitigate perceived threats and harness AI’s benefits.
Tác giả
Ta, Thi Nguyet Trang
Pham, Chien Thang
Vo, Tam An
Người hướng dẫn
Nơi xuất bản
Nhà xuất bản
Năm xuất bản
2025
ISSN tạp chí
Nhan đề tập
Từ khóa chủ đề
Technology
Bộ sưu tập
Tài liệu tham khảo
Thông tin bản quyền
Tệp tin
Moderating the AI Revolution.pdf
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