{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T04:35:29Z","timestamp":1776918929788,"version":"3.51.2"},"reference-count":68,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Foundation of China","doi-asserted-by":"crossref","award":["21BGL223"],"award-info":[{"award-number":["21BGL223"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>The development of generative AI has disrupted various fields, and the field of online healthcare is no exception. However, there is a lack of research on patients\u2019 intention to adopt generative AI on online healthcare platforms. Therefore, the aim of this study is to investigate the factors influencing patients\u2019 intention to adopt generative AI. Employing a questionnaire-based survey, we explore the factors influencing patients\u2019 intention to adopt generative AI through the UTAUT2 model, considering the moderating effects of construal level, health literacy, and AI literacy. We find that performance expectancy, social influence, and facilitating conditions are positively associated with patients\u2019 intention. Surprisingly, effort expectancy and hedonic motivation do not have a significant impact on patients\u2019 intention. Construal level positively moderates the relationship between performance expectancy and patients\u2019 intention; health literacy negatively moderates the relationship between social influence and patients\u2019 intention. AI literacy positively moderates the relationship between effort expectancy and patients\u2019 intention but negatively moderates the relationship between social influence and patients\u2019 intention. This study enriches UTAUT2 theory and provides practical insights for the development and promotion of generative AI on online healthcare platforms.<\/jats:p>","DOI":"10.3390\/jtaer20040287","type":"journal-article","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T07:17:52Z","timestamp":1760512672000},"page":"287","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring Factors Influencing Patients\u2019 Intention to Adopt Generative AI on Online Healthcare Platforms"],"prefix":"10.3390","volume":"20","author":[{"given":"Yu","family":"Li","sequence":"first","affiliation":[{"name":"Business School, Nanjing University, Nanjing 210093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Shen","sequence":"additional","affiliation":[{"name":"International Education College, Nanjing University of Chinese Medicine, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3023-1568","authenticated-orcid":false,"given":"Shuyi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Economics & Trade, Hunan University, Changsha 410006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"Business School, Nanjing University, Nanjing 210093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s10916-023-01925-4","article-title":"Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios","volume":"47","author":"Cascella","year":"2023","journal-title":"J. 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