A meta-analysis of existing research on citizen adoption of e-government

Abstract

The purpose of this paper is to perform a weight-analysis and to undertake a meta-analysis of findings reported in published research on the adoption and diffusion of e-government. Usable data relating to e-government adoption research were collected from 103 empirical studies. Of those 103 articles, only 63 used a range of different constructs with appropriate correlation values required for performing a weight-and meta-analysis. Diagrammatic representation has been presented using significant as well as non-significant relationships from all 103 publications. A broader analysis of research on adoption and diffusion of e-government also reflects that although a large number of theories and theoretical constructs were borrowed from the reference disciplines, their utilization by egovernment researchers appears to be largely random in approach. This paper also acknowledges the theoretical contribution, the limitations of this study, and suggests further research directions for the continued work.

Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling

“…In the opposite direction, Teo, Srivastava, and Jiang (2008) found trust in e-government website to significantly predict both system quality and service quality. The meta-analysis of Rana et al (2015b) found support of the significant effects of system and service quality on satisfaction, which has also been confirmed in public administration literature (e.g. Van Ryzin et al 2004).…”

Barriers to the Development of Smart Cities in Indian Context

“…The citizens are one of the most important stakeholders of such developments. Hence, in order to avoid resistance from stakeholders and failure of such initiatives Hughes et al 2016Hughes et al , 2017, the perceptions of citizens and government employees towards various aspects of smart cities should also be explored by utilising established theories and models (see for example, AlAlwan et al 2017;Dwivedi et al 2011aDwivedi et al , 2011bDwivedi et al , 2013Dwivedi et al , 2016Dwivedi et al , 2017bDwivedi et al , 2017cHossain and Dwivedi 2014;Kapoor et al 2014aKapoor et al , 2014bKapoor et al , 2015Rana and Dwivedi 2015;Rana et al 2015aRana et al , 2015bRana et al , 2016Rana et al , 2017Shareef et al 2011Shareef et al , 2016aShareef et al , 2016bShareef et al , 2017Sinha et al 2017;Slade et al 2015;Veeramootoo et al 2018;Weerakkody et al 2013Weerakkody et al , 2017) from information systems and electronic government domains.…”

Citizens’ adoption of an electronic government system: towards a unified view

“…In the field of public administration and eGov, a number of studies (e.g., Hung et al 2009;Hung et al 2013;Lu et al 2010;Rana et al 2015b) support the relationship between attitude and behavioural intention. For example, analysing users' acceptance of mobile eGov services in Taiwan, Hung et al (2013) found attitude to be a critical factor in understanding and predicting mobile users' behavioural intentions.…”