five

Structural equation data

收藏
IEEE2026-04-17 收录
下载链接:
https://ieee-dataport.org/documents/structural-equation-data
下载链接
链接失效反馈
官方服务:
资源简介:
As a growing population is paying attention to physical health, smart wearable fitness devices have become popular around the world. However, individuals’ intention to use smart wearable fitness devices is still worth in-depth study. Based on the Push Pull Mooring Model, this study proposed a research model to explore the effects of pull factors (i.e., attractiveness, peer influence, perceived usefulness, and perceived credibility), push factor (i.e., low interactivity), and mooring factor (i.e., self-efficacy) on individuals’ switching intention to smart wearable fitness devices. Through online surveys, a total of 540 responses were collected. The results of structural equation modeling (SEM) revealed that: (a) Attractiveness, peer influence, perceived utility and perceived credibility of smart wearable fitness devices are significant predictors of switching intention; (b) The low interactivity of not using smart wearable fitness devices or using non-smart fitness devices also positively predict switching intention; (c) Self-efficacy has no significant effect on switching intention, but positively moderates the relationship between attractiveness, peer influence, perceived usefulness, low interactivity, perceived credibility and switching intention. Finally, based on the results, the study put forward some suggestions and enlightenment for future research
提供机构:
WANG, LIAN
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作