技术接受模型
心理学
可用性
感知
社会影响力
情感(语言学)
社交网络(社会语言学)
临界质量(社会动力学)
社会心理学
社会化媒体
计算机科学
万维网
社会学
人机交互
社会科学
沟通
神经科学
作者
Li Qin,Yong-Beom Kim,Jeffrey Hsu,Xin Tan
标识
DOI:10.1080/10447318.2011.555311
摘要
With the proliferation of online social networks, understanding how and why individuals adopt and use these networks can help managers and marketers to design better methods and approaches toward engaging their users. The purpose of this study is to investigate the determinants of user acceptance of online social networks, with particular attention given to the effects of social influence. A research model was developed by incorporating two variables of social influence, subjective norm and critical mass, into an enhanced version of the Technology Acceptance Model, specifically to address issues related to online social networks. The model was empirically evaluated using survey data collected from 269 subjects about their perceptions of online social networks. The results reveal that both subjective norm and critical mass significantly affect perceived usefulness, which further affects users' usage intention, and perceived ease of use affects the usage intention indirectly through perceived usefulness. The implications of this study on theory and practice are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI