{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T18:27:04Z","timestamp":1786991224488,"version":"build-2736575974"},"reference-count":45,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T00:00:00Z","timestamp":1786924800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Artificial Intelligence Generated Content (AIGC) is increasingly used in creative design. Understanding fashion designers\u2019 willingness to adopt these tools has therefore become important for both research and practice. Drawing on the Stimulus\u2013Organism\u2013Response (SOR) model, this study integrates Self-Determination Theory (SDT) with perceived risk, social influence, and facilitating conditions. It examines how these contextual stimuli shape designers\u2019 basic psychological need satisfaction and behavioral intention. We analyzed 318 valid responses with complete data for all 21 measurement items from Chinese fashion-design practitioners using partial least squares structural equation modeling (PLS-SEM). Perceived risk negatively predicted autonomy, competence, and relatedness, whereas social influence and facilitating conditions positively predicted these organismic states. Autonomy, competence, and relatedness each positively predicted behavioral intention, with competence showing the largest coefficient (\u03b2\u2009=\u20090.520, p\u2009&lt;\u20090.001). Bootstrapped analyses confirmed all nine specific indirect effects from the three stimuli to behavioral intention through the three psychological needs. These findings clarify how SOR and SDT jointly explain technology adoption among fashion designers. They also provide practical guidance for copyright governance, prompt training, and collaboration between designers and AI.<\/jats:p>","DOI":"10.1371\/journal.pone.0356536","type":"journal-article","created":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T17:34:23Z","timestamp":1786988063000},"page":"e0356536","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring fashion designers\u2019 acceptance of AIGC: A dual-pathway analysis from the stimulus\u2013organism\u2013response perspective"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8867-8272","authenticated-orcid":true,"given":"Tingting","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9022-1932","authenticated-orcid":true,"given":"Mengyun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,8,17]]},"reference":[{"key":"pone.0356536.ref001","author":"H Harreis","year":"2023"},{"issue":"2","key":"pone.0356536.ref002","article-title":"Research on key factors influencing Chinese designers\u2019 use of AIGC: An extension based on TAM and TRI","volume":"20","author":"Y Yao","year":"2025","journal-title":"PLoS One"},{"key":"pone.0356536.ref003","doi-asserted-by":"crossref","first-page":"319","DOI":"10.2307\/249008","article-title":"Perceived usefulness, perceived ease of use, and user acceptance of information technology","volume":"13","author":"FD Davis","year":"1989","journal-title":"MIS Quart"},{"key":"pone.0356536.ref004","article-title":"To acknowledge or conceal: An exploratory study on designers\u2019 self-determination factors and attitudes toward artificial intelligence participation in their works. 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