Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation

By Kwasi Amoako-Gyampah. Computers in Human Behavior, 2007

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User Acceptance of Virtual Reality: An Extended Technology Acceptance Model (2020, methodology): “These extensions seek to increase the TAM ’ s predictive power (e.g., Chow, Herold, Choo, & Chan, 2012) by adding variables to fit it to specific technologies (e.g., an ERP 1 for Amoako-Gyampah, 2007), contexts (e.g., Venkatesh, Thong, & Xu, 2012) and users (e.g., Newbutt et al., 2016).”
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.”
Online repatronage intention: an empirical study among Malaysian experienced online shoppers (2014, background): “Many researchers (e.g. Aghekyan-Simonian et al., 2012; Joo et al., 2011; Karahanna and Straub, 1999; Amoako-Gyampah, 2007; Purnawirawan et al., 2012; Lin, 2008; Forsythe and Shi, 2003; Ling et al., 2011; Pantano et al., 2013; Im et al., 2008) have suggested that PR is a factor affecting user’s…”
Effects of Restaurant Satisfaction and Knowledge Sharing Motivation on eWOM Intentions (2017, background): “PU of the system was posited to influence the effects that prior usage had on behavioral intention (Amoako-Gyampah, 2007).”