文献类型：期刊文献

英文题名：Driving Factors of Generative AI Adoption in New Product Development Teams from a UTAUT Perspective

作者：Xia, Yan[1];Chen, Yue[1]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China

年份：2025

卷号：41

期号：10

起止页码：6067

外文期刊名：INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION

收录：;EI(收录号：20242916706663);WOS:【SSCI(收录号:WOS:001270288300001)，SCI-EXPANDED(收录号:WOS:001270288300001)】；

基金：No Statement Available

语种：英文

外文关键词：New product design; generative AI; technology acceptance; UTAUT

摘要：Recent new product development (NPD) teams apply various generative AI (GenAI) tools in the development process, yet it is not fully understood about the factors affecting teams' adoption of these tools. This research identifies factors driving the use and attitudes toward GenAI in NPD tasks based on the Unified Theory of Acceptance and Use of Technology (UTAUT). We interviewed nine GenAI users in NPD teams and conducted a survey study with 309 participants. By exploratory factor analysis and hierarchical regressions, we identified a composite factor of performance expectancy and anthropomorphism as the strongest positive predictor of attitudes, and task-tool fitness as the strongest positive predictor of behavioral intention. Besides, we also identified significant predictors including several other factors in UTAUT and individual differences in AI self-efficacy. The findings can be used for developing UTAUT models and designing GenAI tools specific to NPD purposes.