What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model
By Jen-Her Wu, Shu-Chin Wang. Information Manager (The), 2005
2,624 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/878d62f663c6c96f2757c28bd7c9d788a87044b8
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
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- V. Venkatesh
- James Y. L. Thong
- Tao Zhou
- Michael D. Williams
- Frank K. Y. Chan
In Management Science and Operations Research
- Nripendra P. Rana
- Ali Abdallah Alalwan
- James Y. L. Thong
- Tao Zhou
- Frank K. Y. Chan
- Keng-Boon Ooi
- Tiago Oliveira
- S. K
In Sociology and Political Science
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- V. Venkatesh
- James Y. L. Thong
- Tiago Oliveira
- Frank K. Y. Chan
- Michael D. Williams
Citations in the corpus
- The impact of customer interface quality, satisfaction and switching costs on e-loyalty: Internet experience as a moderator (2008, background): “Customer satisfaction is considered to act as an antecedent of loyalty, arising out of direct prior experience (Anderson & Srinivasan, 2003; Dick & Basu, 1994; Fornell, 1992; Wu & Wang, 2005).”
- An Emerging Theory of Avatar Marketing (2021, background): “In addition, as the purchase price increases, the need for information about the quality of products or services also becomes more important to manage perceived risk (Wu and Wang 2005).”
- Design aesthetics leading to m-loyalty in mobile commerce (2006, background): “Lin and Wang examined the determinants of customer loyalty in mobile contexts and found m-loyalty to be influenced by perceived value, habit, trust, and satisfaction.”
- Mobile-banking adoption by Iranian bank clients (2014, background): “Besides, for determining the real costs and measuring the costs of acquiring and using new technologies, the adopters are usually faced with a range of relatively hidden costs which are likely to affect the costs of adoption of business via cell-phone (Hung et al., 2003; Wu and Wang, 2005).”
- Mobile computing acceptance factors in the healthcare industry: A structural equation model (2007, background): “A number of empirical studies have proven this point [20,21,25,26].”
- Factors affecting e-commerce adoption among SMEs in Ghana (2016, background): “According to Rogers (2003), relative advantage is the extent to which an innovation is perceived as being better than the idea it supersedes; it is thus similar to perceived usefulness (Wu and Wang, 2005).”