现代情报2025，Vol.45Issue(6)：46-59,14.DOI:10.3969/j.issn.1008-0821.2025.06.005
基于ECT-U&G的生成式AI用户持续使用意愿的实证研究
Empirical Research of Generative AI Users'Continuance Use Intention Based on ECT-U&G
摘要
Abstract
[Purpose/Significance]Analyzing the continuance use intention of generative AI college student users can provide theoretical references for optimizing the generative AI user experience and enhancing the new quality productive forces of the society.[Method/Processes]The article constructed the influencing factors model of generative AI college student users'continuance use,which was based on expectation confirmation theory and use and gratification theory,and took college students from five colleges and universities in Hangzhou as the research object,collected data through the ques-tionnaire survey method,and verified the variables and hypotheses in the model by using SPSS 27.0 and AMOS 27.0.[Result/Conclusion]The study shows that:satisfaction is a key influencing factor on college student users'continuance use intention,and the factors of information quality,system quality,pleasure satisfaction,utilitarian satisfaction,and other factors have a significant direct positive effect on college student users'continuance use intention,and the expectation of confirmation,information quality,system quality and other factors can have a significant indirect positive effect on col-lege student users'continuance use intention through satisfaction.关键词
生成式AI/大学生用户/持续使用意愿/期望确认理论/使用与满足理论Key words
generative AI/college student users/continuance use intention/expectation confirmation theory/use and gratification theory引用本文复制引用
邱均平,龙康,徐中阳..基于ECT-U&G的生成式AI用户持续使用意愿的实证研究[J].现代情报,2025,45(6):46-59,14.基金项目
国家社会科学基金重大项目"基于大数据的科教评价信息云平台构建和智能服务研究"(项目编号:19ZDA348). （项目编号:19ZDA348）
