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A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type
Authors:Kewen Wu  Yuxiang Zhao  Qinghua Zhu  Xiaojie Tan  Hua Zheng[Author vitae]
Institution:aDepartment of Information Management, Nanjing University, #22 Hankou Road, Nanjing, Jiangsu 210093, China;bSchool of Management and Engineering, Nanjing University, China
Abstract:The technology acceptance model (TAM) has proven to be one of the most powerful theories to explain user's technology adoption. Among many external variables incorporated into TAM, trust is considered to be an important factor that influences the user's online behavior, especially in the e-commerce context. This study conducts a meta-analysis based on the previous TAM studies in an attempt to make well-grounded statements on the role of trust. Furthermore, the paper examines those TAM studies by considering moderating effects of subject type (students or non-students) and context type (commercial or non-commercial). Results indicate a significant influence of trust on TAM constructs. Moderating effects are found for most pair-wise relationships. The findings yield implications for both researchers and service providers.
Keywords:Technology acceptance model  TAM  Meta analysis  Trust  Moderator analysis
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