Explaining information technology usage: A test of competing models☆

By G. Prem Premkumar, Anol Bhattacherjee. 2008

423 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/b707d2af62ed75d53a34d7d58c26650644bfcc68

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. V. Venkatesh
2. James Y. L. Thong
3. Susan A. Brown
4. Charles Dennis
5. Talal Al-Maghrabi
6. Frank K. Y. Chan
7. P. H. Hu
8. Heesup Han

In Information Systems and Management

1. V. Venkatesh
2. James Y. L. Thong
3. Frank K. Y. Chan
4. P. H. Hu
5. Susan A. Brown
6. Younghoon Chang
7. Yogesh Kumar Dwivedi
8. Charles Dennis

In Sociology and Political Science

1. V. Venkatesh
2. James Y. L. Thong
3. Frank K. Y. Chan
4. P. H. Hu
5. Susan A. Brown
6. Younghoon Chang
7. Charles Dennis
8. Yogesh Kumar Dwivedi

Citations in the corpus

• What drives consumers' continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi Arabia (2011, background): “The relative dominance of usefulness explains its role as a critical driver in continuance decisions, particularly in comparisons of utilitarian value over hedonic value (Premkumar and Bhattacherjee, 2008).”
• An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “Network benefit is formed by referent network size and perceived complementarity Premkumar and Bhattacherjee (2008) Computer-based tutorial INT, SAT, PU, disconfirmation (DIS), expectation, perceived performance, perceived ease of use (PEOU) INT is explained better by the technology acceptance…”
• The impact of customer experience and perceived value on sustainable social relationship in blogs: An empirical study (2015, background): “CI refers to willingness to continue using a product or service after a customer has positively experienced such a product or service (Premkumar and Bhattacherjee, 2008).”
• Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context (2011, methodology): “Consistent with the approach of Premkumar & Bhattacherjee (2008), we conducted the Harman’s one-factor test to evaluate the possibility of common method bias.”
• New or repeat customers: How does physical environment influence their restaurant experience? (2011, background): “The need to understand satisfaction rom a more emotional aspect has been emphasized in connecion with cognitive influence (Oliver et al., 1997; Phillips and aumgartner, 2002; Premkumar and Bhattacherjee, 2008; Rojas nd Camarero, 2008; Wirtz and Bateson, 1999).”