技术接受模型
可用性
实证研究
消费者行为
计算机科学
外部变量
电子商务
增强现实
客户体验
广告
营销
业务
万维网
人机交互
哲学
认识论
程序设计语言
作者
Chunrong Guo,Xiaodong Zhang
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2024-08-26
卷期号:19 (8): e0309468-e0309468
被引量:2
标识
DOI:10.1371/journal.pone.0309468
摘要
Augmented Reality (AR) offers a rich business format, convenient applications, great industrial potential, and strong commercial benefits. The integration of AR technology with online shopping has brought tremendous changes to e-commerce. The Technology Acceptance Model (TAM) is a mature model for assessing consumer acceptance of new technologies, and applying it to evaluate the impact of AR online shopping experiences on consumer purchase intention is an urgently needed area of research. Firstly, the typical applications of AR in online shopping were reviewed, and the connotations and experiences of AR online shopping were summarized. Secondly, using the five types of AR online shopping experiences as antecedent variables, and perceived ease of use and perceived usefulness as intermediate variables, a theoretical model was constructed to explore the impact of AR online shopping experiences on customer purchase intentions, followed by an empirical study. Finally, suggestions were proposed for optimizing the online shopping experience to enhance purchase intentions. The article expands the application scenarios of the Technology Acceptance Model and enriches the theory of consumer behavior in Metaverse e-commerce.
科研通智能强力驱动
Strongly Powered by AbleSci AI