An empirical investigation of students' behavioural intentions to use the online learning course websites

By Su-Chao Chang, Feng-Cheng Tung. British Journal of Educational Technology, 2007

448 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/08320e485c7e9ccb6ca13f515ca92714e38666ca

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Citations in the corpus

Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems (2011, background): “Later, Wu and Wang (2005) and Chang and Tung (2008a) confirmed that compatibility had a significant positive and direct effect on PU and the behavioral intention.”
Students' expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction (2010, background): “The quality of the learning environment and the ease of using a learning management system also contribute to the success and course satisfaction of an e-learning course (Chang & Tung, 2008; Shee & Wang, 2008) and performance (Lee & Lee, 2008).”
Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model (2017, methodology): “…& Bala, 2008) and a number of studies have successfully extended its application to the context of e-learning (Alshare, Freeze, Lane, & Wen, 2011; Chang & Tung, 2008; Hu & Hui, 2012; Liu, Chen, Sun, Wible, & Kuo, 2010; Park, 2009; Sharma, Chandel, Govindaluri, & Fakh-rElDin, 2014; Tarhini, Hone,…”
Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model (2018, result): “Similar findings are also reported by other scholars (Chang & Tung, 2008; Tung, Lee, Chen, & Hsu, 2009; Wu & Wang, 2005).”
Blended Learning: The Perceptions of First-year Geography Students (2010, methodology): “…is also being given to modelling the effectiveness of e-learning mechanisms, including factors such as the use of online assessments, students’ attitudes to e-learning mechanisms and the application of different teaching methods (Carver et al., 2004; Sivo et al., 2007; Chang & Tung, 2008).”
Investigating attitudes towards the use of mobile learning in higher education (2016, methodology): “Some items have been adopted from relevant studies, such as (Liaw & Huang, 2012; Cavus, 2011; Yadegaridehkordi, Iahad, & Mirabolghasemi, 2011; Alwraikat & Al Tokhaim, 2014) in order to ensure content validity (Chang & Tung, 2008).”
Applying Ajzen's Theory of Planned Behavior to a Study of Online Course Adoption in Public Relations Education. (2012, methodology): “Throughout the last two decades, a number of researchers have introduced a variety of external variables, including System Quality, Compatibility, Computer Anxiety, SelfEfficacy, Enjoyment, Computer Support and Experiences (Chau, 1996). Similar to this study, a number of Technology Acceptance Model ”
Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems (2019, background): “This is consistent with previous studies [4], [15], [25], [32], [35], [37], [55]–[57].”