Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology

By Frank K. Y. Chan, James Y. L. Thong, V. Venkatesh, Susan A. Brown, P. H. Hu, Kar Yan Tam. Journal of the AIS, 2010

420 citations recorded by the source corpus.

Subfields: Information Systems and Management, Political Science and International Relations, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/14535f99c8e9cf4c4ba7df4fce28d4e5ac887896

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

1. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. Ali Abdallah Alalwan
4. Michael D. Williams
5. James Y. L. Thong
6. V. Venkatesh
7. Frank K. Y. Chan
8. Keng-Boon Ooi

In Political Science and International Relations

1. Yogesh Kumar Dwivedi
2. Ali Abdallah Alalwan
3. V. Venkatesh
4. Nripendra P. Rana
5. James Y. L. Thong
6. Michael D. Williams
7. P. H. Hu
8. Frank K. Y. Chan

In Sociology and Political Science

1. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. Ali Abdallah Alalwan
4. James Y. L. Thong
5. V. Venkatesh
6. Michael D. Williams
7. Frank K. Y. Chan
8. Keng-Boon Ooi

Citations in the corpus

• Academic, Family, and Peer Influence on Entrepreneurial Intention of Engineering Students (2020, methodology): “The validity is assessed through convergent and discriminant validity analysis (Chan et al., 2010).”
• Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016, neutral): “…Thong, Venkatesh, Xu, Hong, & Tam, 2011; Venkatesh et al., 2012), agile IS (Hong, Thong, Chasalow, & Dhillon, 2011), e-government for citizens (Chan, Thong, Venkatesh, Brown, Hu, & Tam, 2010), and health IS in the healthcare industry (e.g., Venkatesh, Sykes, & Zhang, 2011)— in organizations…”
• Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse (2020, background): “This association between facilitating conditions and customer satisfaction was empirically confirmed by Chan et al. (2010) in the area of e-government. Another strong relationship between facilitating conditions and satisfaction was also validated by Maillet, Mathieu, and Sicotte (2015) in relation ”
• What catalyses mobile apps usage intention: an empirical analysis (2015, methodology): “0 version, the research model illustrated in Figure 1 is examined using the Partial Least Squares Structural Equation Modelling (PLS-SEM) method (Chan et al., 2010; Ringle et al., 2005). The resampling method with 288 cases and individual sign changes was engaged to obtain inferential statistics (Ha”
• The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “…(2008) E-Government Services (9) Al-Shafi and Weerakkody (2009), AlShafi and Weerakkody (2010), Al-Sobhi et al. (2011), AlAwadhi and Morris (2011), Chan et al. (2010), Hung et al. (2007), Sahu and Gupta (2007), Suki and Ramayah (2010), Weerakkody et al. (2009) E-Filing System (3) Ambali (2009),…”
• The effects of technostress within the context of employee use of ICT (2014, background): “Moreover, Chan et al. (2010) found in an empirical study of satisfaction with e-government technology that facilitating conditions had direct effects on user satisfaction.”
• Managing Citizens' Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (2016, background): “This is in line with prior research suggesting user satisfaction is a key success indicator of systems implementation in general (e.g., Brown et al. 2008) and e-government implementation in particular (e.g., Chan et al. 2010, Teo et al. 2008).”