Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems
By Yi-Hsuan Lee, Yi-Chuan Hsieh, Chia-Ning Hsu. J. Educ. Technol. Soc., 2011
668 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ee5d8b63b1a0713c5a6959839f05f0c543f4f589
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ahmad Samed Al-Adwan
- Kevin Kam Fung So
- Waleed Mugahed Al-Rahmi
- Somang Min
- Miyoung Jeong
- Donghee Don Shin
- Amer Al-Adwan
- Ra'ed Masa'deh
Citations in the corpus
- Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems (2019, background): “Both experts and researchers have been trying to investigate this problem through exploring the decisions of students and learners embracing the e-learning systems which can get them many benefits [1], [9], [10].”
- Evaluating E-learning systems success: An empirical study (2020, background): “Previous studies highlighted the direct significant relationship between usefulness and net benefits (Hwang, Chang, Chen, & Wu, 2008); usefulness and organizational benefit (Park, Zo, Ciganek, & Lim, 2011); usefulness and individual impact (Lee et al., 2011); usefulness and both individual and organ”
- Exploring Students Acceptance of E-Learning Using Technology Acceptance Model in Jordanian Universities. (2013, background): “Additionally, PEOU was found to indirectly impact intention to use (ITU) through increased perceived usefulness(PU) (Sek et al., 2010; Lee et al., 2011).”
- An acceptance model for smart watches: Implications for the adoption of future wearable technology (2015, background): “For example, studies have demonstrated that RA has positive effects on the PU of e-learning systems (Lee et al., 2011), mobile virtual network operators (MVNOs) (Shin, 2010), and N-screen services (Shin, 2012a).”
- Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model (2018, methodology): “Several studies have recommended integrating TAM with other theories, most notably DIT, to better understand the rapid changes in information technology and to achieve a better explanatory power (Hardgrave, Davis, & Riemenschneider, 2003; Lee et al., 2011; Legris, Ingham, & Collerette, 2003).”