An investigation of user attitudes toward search engines as an information retrieval tool
By Shu-Sheng Liaw, Hsiu-Mei Huang. Computers in Human Behavior, 2003
379 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f5270209b7d4a8d61cb907cb46209eb28b62ab7b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Information Systems and Management
- Hsiu-Mei Huang
- Hakan Celik
- Shu-Sheng Liaw
- Timothy Teo
- Xiaoquan Pan
- Saleh Al-Salman
- Ahmad S. Haider
- Ove Edvard Hatlevik
In Sociology and Political Science
- Hsiu-Mei Huang
- Hakan Celik
- Shu-Sheng Liaw
- Timothy Teo
- Saleh Al-Salman
- Ahmad S. Haider
- Xiaoquan Pan
- Ove Edvard Hatlevik
Citations in the corpus
- Customer behavior in electronic commerce: The moderating effect of e-purchasing experience (2010, neutral): “It employs other earlier theories of behavior and includes factors related to Internet experience (Liaw and Huang, 2003; O'Cass and Fenech, 2003) and intrinsic motivations, such as self-efficacy (Chen et al., 2002; Bruner and Kumar, 2005).”
- Influence of social norms, perceived playfulness and online shopping anxiety on customers' adoption of online retail shopping (2011, background): “80 and 10, respectively, to control the multicollinearity problem ( Liaw and Huang, 2003”
- Technology acceptance model: a literature review from 1986 to 2013 (2014, neutral): “Castaneda et al. [11] have confirmed TAM adequacy in prediction of user intention to visit specific Web sites, while Huang [42] has used the same model while exploring Internet acceptance considering the gender of users.”
- Surveying instructor and learner attitudes toward e-learning (2007, background): “The affective measurement (such as perceived enjoyment) and the cognitive measurement (such as perceived self-efficacy and perceived usefulness) have a positive effect on the behavioral measurement (such as behavioral intention to use e-learning as a teaching or learning tool) (Liaw & Huang, 2003).”