Effects of training on Internet self-efficacy and computer user attitudes

By Gholamreza Torkzadeh, T. V. Dyke. Computers in Human Behavior, 2002

366 citations recorded by the source corpus.

Subfields: Gender Studies, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/14e93eb2fded3c587fd34c0b42b3b6c7642246b4

How researchers see this paper

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

In Gender Studies

1. Roger Azevedo
2. Tom Buchanan
3. Daniel C. Moos

In Information Systems and Management

1. Roger Azevedo
2. Shu-Chin Wang
3. Jen-Her Wu
4. Tom Buchanan
5. Daniel C. Moos
6. Li-Min Lin

In Sociology and Political Science

1. Roger Azevedo
2. Gunter Saunders
3. Shu-Chin Wang
4. Jen-Her Wu
5. P. Sainter
6. Sara Thomée
7. Tom Buchanan
8. Daniel C. Moos

Citations in the corpus

• Mobile computing acceptance factors in the healthcare industry: A structural equation model (2007, background): “[25] also pointed out the significance of staff training for implementing and using the online system in clinical practices; Torkzadeh and Van Dyke [42] reported that technical related support and training significantly enhanced Internet self-efficacy.”
• Factors affecting faculty use of learning technologies: implications for models of technology adoption (2013, background): “Higher Internet self-efficacy could arise from greater use of tools rather than vice versa—a suggestion consistent with the finding (Torkzadeh and Van Dyke 2002) that engagement with technology (for example in a training course) can serve to increase Internet self-efficacy levels.”
• Learning With Computer-Based Learning Environments: A Literature Review of Computer Self-Efficacy (2009, methodology): “Previous findings have also suggested that attitudes toward CBLEs are formed at an early age (Wilder, Mackie, & Cooper, 1985) and that attitudes are relatively stable by the time students reach higher education (Torkzadeh & Van Dyke, 2002).”
• Prevalence of perceived stress, symptoms of depression and sleep disturbances in relation to information and communication technology (ICT) use among young adults - an explorative prospective study (2007, background): “Computer experience influences computer anxiety (Beckers & Schmidt, 2003), and computer training can improve Internet self-efficacy – though it does not seem to influence attitudes towards computer use (Torkzadeh & Dyke, 2002).”