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

Abstract

Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.

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.…”

Impact of internet of things (IoT) in disaster management: a task-technology fit perspective

“…The methodology discussed in this paper does not incorporate TAM under the assumption that wherever pos-sible, the IoT technology will be adopted by the personnel involved in disaster management. This provides the room for future work of expanding the scope of the approach employed in this research to incorporate the technology adoption aspects and models (see for example, Dwivedi et al 2017a, b;Rana and Dwivedi 2015;Rana et al 2016Rana et al , 2017. This is particularly important as a large number of IS/IT projects fail (Dwivedi et al 2014;Hughes et al 2016Hughes et al , 2017 due to lack of adoption and use of technologies and/or applications in question.…”

The Impact of Social Media on Consumers’ Acculturation and Purchase Intentions

“…This paper's findings address this deficiency and augment empirical evidence and theory on social media-led acculturation. It is noteworthy that dominant theories of information systems and/or technology adoption such as unified theory of acceptance and use of technology (Dwivedi et al 2017a;Dwivedi et al 2017b;Rana et al 2017;Venkatesh et al 2003;Williams et al 2015), technology acceptance model (Davis 1989;, theory of reasoned action (Alryalat et al 2015;Fishbein and Ajzen 1975), social cognitive theory and innovation diffusion theory (Kapoor et al 2015) are less widely used in social media research.…”