Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency

Zhang, J (通讯作者),Middle Tennessee State Univ, Coll Media & Entertainment, Sch Journalism & Strateg Media, 1301 E Main St, Murfreesboro, TN 37132 USA.
2022-5
This research demonstrates the usefulness of the integrative model of the technology acceptance model (TAM) and the perceived contingency model in predicting the users' adoption of AI-driven personalization in digital news platforms. We conducted an online survey with 1369 US adults randomly drawn from the national panel of Qualtrics. The results show that perceived contingency plays a crucial role in predicting the adoption of AI-powered news platforms, showing a significant direct effect and an indirect effect mediated by enhanced user engagement experience and positive attitude. Furthermore, the TAM variables are still important in predicting adoption behavior.
TECHNOLOGY IN SOCIETY
卷号:69
ISSN:0160-791X|收录类别:SSCI
语种
英语
来源机构
Syracuse University; Middle Tennessee State University
资助机构
Tow Center for Digital Journalism at Columbia University's Graduate School of Journalism
资助信息
This work was supported by the Tow Center for Digital Journalism at Columbia University's Graduate School of Journalism.
被引频次(WOS)
7
被引频次(其他)
7
180天使用计数
18
2013以来使用计数
20
EISSN
1879-3274
出版年
2022-5
DOI
10.1016/j.techsoc.2022.101965
学科领域
循证社会科学-综合
关键词
Artificial intelligence News personalization Technology acceptance model Perceived contingency Engagement
WOS学科分类
Social Issues Social Sciences, Interdisciplinary