Academic Journal of Humanities & Social Sciences, 2025, 8(4); doi: 10.25236/AJHSS.2025.080402.
Zile Zeng, Enhui Yang
Business School, University of Shanghai for Science and Technology, Shanghai, China
With the deep integration of AI and healthcare, the Da Vinci surgical robot—an iconic innovation in intelligent minimally invasive surgery—has gradually entered the public spotlight. This study employs a binary logistic regression model, incorporating key variables from the Health Belief Model (HBM) and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), to empirically investigate the factors influencing Shanghai residents’ willingness to accept the Da Vinci surgical robot. A total of 1,214 valid questionnaires were collected. The results show that performance expectancy, facilitating conditions, policy support, and trust tendency have significant positive effects on acceptance, while perceived privacy risk has a significant negative effect. Price value and social influence did not reach statistical significance. Among all factors, facilitating conditions emerged as particularly crucial, with an odds ratio (OR) of 18.687, highlighting its key role in shaping public acceptance. Based on the findings, this paper proposes promotion strategies from the perspectives of enterprises, hospitals, and government to facilitate the adoption of surgical robotics and enhance public willingness to accept the technology.
Da Vinci surgical robot, willingness to accept, binary logistic regression model
Zile Zeng, Enhui Yang. Determinants of Shanghai Residents’Willingness to Accept the Da Vinci Surgical Robot in the Context of AI-Assisted Healthcare: A Binary Logistic Regression Analysis. Academic Journal of Humanities & Social Sciences (2025), Vol. 8, Issue 4: 10-15. https://doi.org/10.25236/AJHSS.2025.080402.
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