Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community

By I-Fan Liu, Meng Chang Chen, Yeali S. Sun, David Wible, Chin-Hwa Kuo. Comput. Educ., 2010

758 citations recorded by the source corpus.

Subfields: Communication, Education, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/9cb8b8afe78e7eef6d92fc45a441370e03df31ae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Ali Tarhini
2. Mostafa Al-Emran
3. Ahmad Qasim Mohammad Alhamad
4. Kate S. Hone
5. Azza R Abdel Monem
6. Takwa Tarhini
7. Said A. Salloum
8. Khaled Shaalan

In Education

1. Said A. Salloum
2. Mostafa Al-Emran
3. Kate S. Hone
4. Takwa Tarhini
5. Ali Tarhini
6. Xiaohui Liu

In Information Systems and Management

1. Ali Tarhini
2. Said A. Salloum
3. Kate S. Hone
4. Damon Burg
5. Mostafa Al-Emran
6. Ahmad Qasim Mohammad Alhamad
7. S. Maulina
8. Azza R Abdel Monem

Citations in the corpus

• Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM) (2021, methodology): “While earlier studies had applied the TAM model on different applications and learning environments such as Wiki (Liu 2010) and BlackBoard (Lan-dry et al. 2006), a survey of existing literature showed that the TAM framework has not been used to investigate user attitudes to the Zoom application.”
• 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): “Many studies have recently supported the relationship between BI and Actual Usage (AU) in the context of e-learning (Chang & Tung, 2008; Liu et al., 2010; Park, 2009; Tarhini et al., 2015; Teo, 2010).”
• Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model (2021, background): “Furthermore, it has been proven that past experience highly influenced users’ perceived usefulness in using e-learning (Abdullah et al., 2016; Chang et al., 2017; Lee et al., 2013; Liu et al., 2010; Martin, 2012).”
• Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model (2019, background): “Information quality also refers to the ‘‘users’ belief regarding the quality of information given on a Website’’ [43] or ‘‘the degree to which the customer receives complete, precise and well-timed information over the electronic service interface’’ [44].”