A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type

By Kewen Wu, Yuxiang (Chris) Zhao, Qinghua Zhu, Xiaojie Tan, Hua Zheng. International Journal of Information Management, 2011

372 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “Factors from other theories: factors from other theories of technology acceptance for increasing predictive validity of the TAM like subjective norm [35], expectations [87], user participation [5], risk [29, 67], and trust [30, 31, 92]; 3.”
Trust in AI and Its Role in the Acceptance of AI Technologies (2022, methodology): “Subsequent studies have incorporated other external factors into the TAM, and trust has been examined as a key factor in the acceptance of emerging technologies (Wu et al., 2011).”
The effect of characteristics of source credibility on consumer behaviour: A meta-analysis (2020, methodology): “Meta-analysis is a reliable tool to provide quantitative summaries of the research literature (Hamari & Keronen, 2017; Morris, 2008; Wu et al., 2011; Zhang et al., 2018).”
A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, neutral): “Further, scholars have reported inconsistent results for the relationship between trust and other behavioral outcomes, such as satisfaction and continuance intention (Cao, Yu, Liu, Gong, & Adeel, 2018; Groß, 2016; Marinkovic & Kalinic, 2017; Ting, 2018; Wu, Zhao, Zhu, Tan, & Zheng, 2011).”