{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T09:48:12Z","timestamp":1774086492294,"version":"3.50.1"},"reference-count":137,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T00:00:00Z","timestamp":1744156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>While generative artificial intelligence (Gen AI) is accelerating digital transformation and innovation in corporate product design (CPD), limited research has explored how designers adopt this technology. This study aims to identify the key factors and causal configurations that influence designers\u2019 intentions to adopt Gen AI in CPD. This study involved 327 in-service designers as participants, employed semi-structured interviews and a questionnaire to collect data, and applied the grounded theory and fsQCA to analyze the data. The findings indicate the following: (1) Personal innovativeness, AI technological anxiety, perceived usefulness, task\u2013technology fit, perceived risk, social influence, and organizational support are the key factors influencing designers\u2019 adoption of Gen AI. (2) None of these factors constitute a necessary condition for designers to adopt Gen AI. (3) High adoption intention results from the interaction of multiple factors, which can be categorized into three driving logics: \u201ctask demand-driven\u201d, \u201corganizational environment-driven\u201d, and \u201cindividual characteristics-driven\u201d. It is recommended that corporate managers establish an AI training framework, foster a supportive organizational environment, and implement tailored strategies to facilitate the integration of new technologies. This study clarifies the factors influencing designers\u2019 adoption of Gen AI in CPD and provides a framework for companies to effectively integrate AI systems into product design.<\/jats:p>","DOI":"10.3390\/systems13040275","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T07:49:02Z","timestamp":1744184942000},"page":"275","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Unveiling the Complexity of Designers\u2019 Intention to Use Generative AI in Corporate Product Design: A Grounded Theory and fsQCA"],"prefix":"10.3390","volume":"13","author":[{"given":"He","family":"Li","sequence":"first","affiliation":[{"name":"School of the Arts, Kyungpook National University, Daegu 37224, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqing","family":"Liu","sequence":"additional","affiliation":[{"name":"School of the Arts, Kyungpook National University, Daegu 37224, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9723-883X","authenticated-orcid":false,"given":"Qihan","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Art and Design, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7227-9134","authenticated-orcid":false,"given":"Mingxi","family":"Shi","sequence":"additional","affiliation":[{"name":"School of the Arts, Kyungpook National University, Daegu 37224, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of the Arts, Kyungpook National University, Daegu 37224, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seongnyeon","family":"Kim","sequence":"additional","affiliation":[{"name":"School of the Arts, Kyungpook National University, Daegu 37224, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,9]]},"reference":[{"key":"ref_1","unstructured":"Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P.S., and Sun, L. 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