Prediction of Internet and World Wide Web usage at work: a test of an extended Triandis model
By Waiman Cheung, Man Kit Chang, Vincent Siu-king Lai. Decision Support Systems, 2000
374 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/d50dad8d1c4d9d2b0965958f95eef379c4aad906
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Chin-Lung Hsu
- June Lu
- Hsi-Peng Lu
- Chun-Sheng Yu
- Eleanor T. Loiacono-Mello
- Ibrahim M. Al-Jabri
- M. S. Sohail
- Dale Goodhue
In Management Science and Operations Research
In Sociology and Political Science
- Chin-Lung Hsu
- June Lu
- Hsi-Peng Lu
- Chun-Sheng Yu
- Eleanor T. Loiacono-Mello
- Ibrahim M. Al-Jabri
- M. S. Sohail
- Dale Goodhue
Citations in the corpus
- Determinants of accepting wireless mobile data services in China (2008, background): “Facilitating conditions have been identified as more influential than many other factors on infusion or adoption of IS innovations (see [5,18]).”
- Why do people play on-line games? An extended TAM with social influences and flow experience (2004, background): “Empirical studies based on these theories have found that social influences positively affect an individual’s behavior [16,46,52,53].”
- Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals (2008, background): “4 on the others, then construct validity is demonstrated [6].”
- WebQual: An Instrument for Consumer Evaluation of Web Sites (2007, background): “, [19]), but several studies have successfully excluded social norms, focusing only on ease of use, usefulness, trust, and so forth, as predictors of e-commerce use [52, 74, 95].”
- Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, background): “Complexity Cheung et al. [2000] defined complexity as the extent to which an innovation can be considered relatively difficult to understand and use.”