A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types
By Boštjan Šumak, M. Heričko, Maja Pušnik. Computers in Human Behavior, 2011
607 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/794ee4bdc97ada2392bc913df16d007918cbf7d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Ra'ed Masa'deh
- Dimah Al-Fraihat
- Jane E. Sinclair
- Mike S. Joy
- Hossein Mohammadi
- Fazilat Siddiq
- Rupert R. Ward
- Ejaz Ahmed
In Information Systems and Management
- Fazilat Siddiq
- Ronny Scherer
- Jo Tondeur
- Ejaz Ahmed
- Ra'ed Masa'deh
- Dimah Al-Fraihat
- Jane E. Sinclair
- Mike S. Joy
In Sociology and Political Science
- Fazilat Siddiq
- Ronny Scherer
- Jo Tondeur
- Ejaz Ahmed
- Ra'ed Masa'deh
- Dimah Al-Fraihat
- Jane E. Sinclair
- Mike S. Joy
Citations in the corpus
- The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions (2014, methodology): “These studies use theories, such as the technology acceptance model, that imply that the perceived usefulness and ease of use of the intervention contribute to an individual’s motivation to continue using the application [13,14], while psychologists and behavioral scientists tend to focus more on cl”
- Investigating users' perspectives on e-learning: An integration of TAM and IS success model (2015, result): “The effect of perceived ease of use on intention towards use of e-learning is revealed in some past studies (e.g., Chen and Tseng, 2012; Chow, Herold, Choo, & Chan, 2012; Islam, 2013; Li et al., 2012; Liu et al., 2010; Sumak et al., 2011).”
- Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (2020, methodology): “…used the voluntary and mandatory setting to evaluate the influence of a technology’s PE on the Behavioral Intention of using it and found a significant direct effect (Casey & Wilson-Evered, 2012; Dwivedi et al., 2011; Gupta et al., 2008; SUmak et al., 2011; Venkatesh et al., 2003; Zhou et al., 2010).”
- The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, methodology): “Although such an e ff ect has hardly been considered in previous empirical studies or meta-analysis, Š umak et al. (2011) could also identify it in the context of e-learning.”
- Evaluating E-learning systems success: An empirical study (2020, methodology): “According to the review study conducted by Šumak, HeričKo, and PušNik (2011), TAM is the most popular theory adopted in e-learning acceptance research with 86% of studies utilizing this model as a ground theory.”
- Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios (2016, background): “Existing literature (see Abdullah & Ward, 2016; Šumak et al., 2011) show that there are other important external variables that can influence acceptance of e-learning systems, including Subjective Norm (Farahat, 2012, p.”