Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT)

By Nripendra P. Rana, Yogesh Kumar Dwivedi. Government Information Quarterly, 2015

298 citations recorded by the source corpus.

Abstract By employing an extended social cognitive theory, this study examines factors (such as outcome expectation, affect, anxiety, self-efficacy and social influence) influencing intention to adopt an electronic government system called online public grievance redressal system (OPGRS) in context of India. The extended social cognitive theory (SCT) was validated using 419 responses collected from eight selected cities in India. The empirical outcomes of the proposed model indicated the significant relationships of seven hypothesised relationships between six constructs. This is the first study, which has used the SCT model to understand the adoption of an e-government system. The policy implication provided in this research can help the government to improve upon the effectiveness and quality of the system and the level of social impact on the users by employing the project champions. It also helps in enhancing their positive feelings toward adopting this system and fully utilise the potential of the OPGRS as a useful tool toward a transparent and corruption free society.

Subfields: Information Systems and Management, Media Technology, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/02a5e9ce4b2feb5df32243bc5cb0795bc889bd99

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Citations in the corpus

The imperative of influencing citizen attitude toward e-government adoption and use (2015, background): “This highlights the importance of understanding the multi-faceted factors that may influence citizens’ adoption of e-government services.”
An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, background): “, Rana, N., Janssen, M., Lal, B., Williams, M. & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA).”
A Review of Technology Acceptance and Adoption Models and Theories (2023, background): “Moreover, it can identify methods which can change and modify behaviour [31].”
A generalised adoption model for services: A cross-country comparison of mobile health (m-health) (2016, background): “Several researchers (Chen & Li, 2010; Lichtenstein & Williamson, 2006; Rana & Dwivedi, 2015; Shareef et al., 2011) illustrate the same issue like Mallat (2007) that general adoption theories of social psychology like DOI, TPB, and TAM cannot predict comprehensively consumers’ adoption behaviour for…”
What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage (2018, background): “In particular, researchers have examined citizens’ adoption of e-government services and its antecedents across various contexts (e.g. Alzahrani, Al-Karaghouli, and Weerakkody, 2017; Carter, Weerakkody, Phillips, and Dwivedi, 2016; Gao, and Lee, 2017; Rana and Dwivedi, 2015; Santhanamery and Ramayah”