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

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.

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.…”

Are Older Citizens Using the E-Moi portal in Saudi Arabia, Hail City: A Quantitative Study-‹

“…In literature, the topic of e-government and technology diffusion and adoption has been widely investigated and researched by applying various renowned technology acceptance and success models [12]. Generally, literature has identified various factors influencing citizens' adoption of e-government, including social influence, usefulness (relative advantage), anxiety [12], trust in government [13], perceived online risk [14], cultural and privacy issues [15], disposition to trust, security and trust in the Internet [16].…”

“…Generally, literature has identified various factors influencing citizens' adoption of e-government, including social influence, usefulness (relative advantage), anxiety [12], trust in government [13], perceived online risk [14], cultural and privacy issues [15], disposition to trust, security and trust in the Internet [16]. Finally, since e-government is a technological system normally based on the Internet, the digital divide has been identified among the key challenges and barriers towards successful adoption of e-government services [17] [15].…”

“…Less complex and easy to use governmental websites will result in a positive perception and more liklihood of being used [19], [20]. Further, compatibility and relative advantage (usefulness) are positive influential factors of e-government adoption [12], [19]. On the other hand, this study found that percieved image from using e-government does not influence older adults' intention to use e-government, which conflicts with the findings of other studies [19].…”

Adoption of Mobile Banking in Jordan: Exploring Demographic Differences on Customers’ Perceptions

“…Furthermore, banks need to have more information regarding customers' perception on intention to use and adoption of MB that could differ as per the demographic differences. This, in turn, will help these banks to conduct a useful market segmentation strategy that could accelerate the customers' intention and adoption of such technology [14,16,31,34]. Accordingly, this study aims to conduct an empirical examination to discover if there are considerable variations in the Jordanian customer's perception on the intention and adoption of MB.…”