现代情报2026，Vol.46Issue(7)：30-40,11.DOI:10.3969/j.issn.1008-0821.2026.07.003
基于元分析的GAI用户持续使用意愿影响因素研究
Meta-Analysis of Factors Influencing GAI Users'Continued Usage Intention
摘要
Abstract
[Purpose/Significance]This study aims to address the critical transition from the initial use of Generative Artificial Intelligence(GAI)to its continued use,focusing on identifying and quantifying the key factors that influence users'continued usage intention.The importance of this research lies in its effort to overcome the fragmentation and non-comparability of previous studies,offering a unified framework that can provide actionable insights for future research,poli-cymaking,technological development,and product iteration.The findings aim to enhance understanding of user engage-ment with GAI,which has become a crucial tool in various industries such as education,healthcare,and manufacturing.This research highlights the necessity of investigating the long-term usage patterns of GAI to ensure its effective integration and continued value generation in real-world applications.[Method/Process]A meta-analysis was conducted on 34 stu-dies,both domestic and international,to examine the overall effects of various determinants on GAI users'continued usage intention.The analysis involved tests for heterogeneity,publication bias,and overall effect sizes.Meta-regression was employed to explore moderating effects,enabling a comprehensive understanding of how different factors interact.The study integrated diverse methodologies from existing literature to establish a holistic model that quantifies the strength of influence each factor has on users'continued intention to use GAI.This approach helped to provide empirical evidence and a clear framework for understanding the determinants of GAI adoption and continued use.[Result/Conclusion]The results demonstrate that most of the variables under study have a significant positive effect on GAI users'continued usage intention,with varying effect sizes.Performance expectancy and expectation confirmation show particularly strong effects,suggesting that users'perceptions of the usefulness and effectiveness of GAI,as well as the fulfillment of their expecta-tions,are critical drivers for their continued engagement with the technology.Furthermore,significant heterogeneity was observed across samples,indicating that the impact of these variables depends heavily on contextual factors such as user characteristics and application scenarios.The findings are statistically robust and offer practical insights for future research on GAI.This research also suggests that user satisfaction with GAI,driven by its perceived value and ease of use,plays a key role in enhancing continued engagement.The study's conclusions are of significant theoretical value,offering a solid empirical foundation for understanding user retention mechanisms of GAI.The paper also provides valuable implications for the design and optimization of GAI systems to improve user experience,increase adoption,and ensure long-term success.关键词
生成式人工智能/元分析/用户持续使用意愿/影响因素/调节效应Key words
generative artificial intelligence/meta-analysis/user continued usage intention/influencing factors/mode-rating effect分类
社会科学引用本文复制引用
夏立新,甘昊天,陈欢..基于元分析的GAI用户持续使用意愿影响因素研究[J].现代情报,2026,46(7):30-40,11.基金项目
国家社会科学基金资助项目"人工智能生成内容与图书馆数字资源长期保存机制研究"(项目编号:25VRC063). （项目编号:25VRC063）
