Empirical examination of the adoption of WebCT using TAM

By Y.H.C. Chan. Comput. Educ., 2007

864 citations recorded by the source corpus.

Subfields: Communication, Education, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/c38b9d5270ba6f27215ee17fa88af872f67987f3

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In Information Systems and Management

Citations in the corpus

PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers (2015, background): “When introduced to a new technology, various factors influence people’s attitudes, intention toward use, and actual usage (Childers, Carr, Peck, and Carson, 2001; Ngai, Poon, and Chan, 2007).”
Factors influencing teachers' intention to use technology: Model development and test (2011, background): “…personal factors such as attitudes towards computers (Author, 2008; Authors, 2011), computer self-efficacy (Tsai, Tsai, & Hwang, 2010), technical factors such as technological complexity (Thong, Hong, & Tam, 2002), and environmental factors such as facilitating conditions (Ngai, Poon, Chan, 2007).”
The influence of learning value on learning management system use (2016, background): “Moreover, the strength of individuals’ commitment to engage in a specific behavior can be evaluated though behavioral intention (Ngai et al., 2007).”
Evaluating E-learning systems success: An empirical study (2020, background): “The same result was achieved by Park (2009). McGill and Klobas (2009) studied the relationship between learner attitude toward LMS use and LMS utilization and found it significant.”
An empirical study of instructor adoption of web-based learning systems (2009, background): “Ngai et al. (2007) found that students who used web-based learning systems learned better than those who did not.”
Understanding pre-service teachers' computer attitudes: applying and extending the technology acceptance model (2007, background): “Specifically, FC were found to have a positive effect on attitude (Ngai et al. 2007).”
Antecedents and consequences of e‐learning acceptance (2011, methodology): “PU directly affects attitude towards using the e-learning system (Stoel & Lee, 2003; Lee et al ., 2005; Ngai et al ., 2007; Liu et al ., 2009); PEOU directly affects attitude towards using the e-learning system (Stoel & Lee, 2003; Ngai et al ., 2007; Liu et al ., 2009); and PE directly affects…”
Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning (2013, methodology): “Mathieson et al. (1991); Ngai et al. (2007) 173”
Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community (2010, background): “The main advantage of SEM is that it can estimate a measurement and structure model, and achieve a good model fit after analysis and modification (Ngai et al., 2007).”
Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (2020, background): “Ngai et al. (2007) deﬁned BI as the level of commitment a person shows to engage in a speciﬁc behavior, which in the context of this paper is the student’s commitment level for accepting the use of LMS to fulﬁll their educational course objectives.”
Impact of media richness and flow on e-learning technology acceptance (2009, background): “…study (Ngai, Poon, & Chan, 2007), PEU was a signiﬁcant predictor of both attitude and intention to use an LMS. PU was a signiﬁcant predictor of both perceived enjoyment and intention to use e-learning technologies (Lee et al., 2005; Liaw, 2008; Ngai et al., 2007; van Raaij & Schepers, 2008).”