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

被引：71

作者：

Lim, Joon Soo ^{[1
]}

Zhang, Jun ^{[2
]}

机构：

[1] Syracuse Univ, SI Newhouse Sch Publ Commun, 215 Univ Pl, Syracuse, NY 13244 USA

[2] Middle Tennessee State Univ, Coll Media & Entertainment, Sch Journalism & Strateg Media, 1301 E Main St, Murfreesboro, TN 37132 USA

来源：

TECHNOLOGY IN SOCIETY | 2022年 / 69卷

关键词：

Artificial intelligence; News personalization; Technology acceptance model; Perceived contingency; Engagement; USER ACCEPTANCE; INFORMATION-TECHNOLOGY; AFFECT ATTITUDES; UNIFIED THEORY; METAANALYSIS; EXTENSION; INTENTION; PORTALS; TAM;

D O I：

10.1016/j.techsoc.2022.101965

中图分类号：

D58 [社会生活与社会问题]; C913 [社会生活与社会问题];

学科分类号：

摘要：

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.

引用

页数：10

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