E-Government Services Adoption Assessment From the Citizen Perspective in Jordan

E-Government Services Adoption Assessment From the Citizen Perspective in Jordan

Mohammad Alryalat, Haroun Alryalat, Khalid Alhamzi, Nabil Hewahi
Copyright: © 2023 |Pages: 17
DOI: 10.4018/IJEGR.322440
Article PDF Download
Open access articles are freely available for download

Abstract

Jordanian government has made a commendable effort towards designing and disseminating e-government portals on the web. However, there are certain barriers that have caused a significant deterioration in the e-government development index (EGDI) rank for Jordan in the last few years. The paper aims to understand the influence of the factors relating to e-government adoption to improve upon the trailing factors and move further on the EGDI. This study proposes a research model considering constructs such as relative advantage, perceived trust, computer self-efficacy, perceived awareness, resistance to change on behavioral intention. The data were collected through questionnaire survey. The data were analysed using structural equation modeling (SEM) of AMOS 25.0. The results of the analysis showed that relative advantage, perceived trust, computer self-efficacy and perceived awareness have a positive and significant influence on behavioral intentions whereas resistance to change found to negatively influence the citizens' behavioral intentions to adopt the e-government services.
Article Preview
Top

Introduction

Electronic government, also called e-government, involves utilizing information technology (IT) to improve the efficiency, effectiveness, transparency, and accountability of governmental operations. This approach is regarded as one of the most noteworthy advancements in information and communication technology (ICT) in recent times (Rana et al., 2011). As per the UN e-government report, e-government pertains to the government's utilization of information and communication technologies to provide information and public services to the public (UN E-government Survey, 2014). E-government services provide a number of different benefits to citizens such as cost savings and increased revenue, economic growth, decreased duplication, improved transparency and accountability, improved cost-effective delivery of public services, a unified view of citizens for providing all government services and capability to promptly meet the expectations of citizens (Venkatesh et al., 2012).

To date, a number of studies (e.g., Janssen et al., 2018; Lallmahomed et al., 2021; Rana and Dwivedi, 2015; Rana et al., 2015, 2017) have been published to understand the adoption of e-government services for developed as well as developing countries. Most of these studies have used one or the other theories of technology adoption or diffusion such as theory of reasons action (Fishbein and Ajzen, 1975), technology acceptance model (Davis, 1989), theory of planned behavior (Ajzen, 1991), social cognitive theory (Bandura, 1985), diffusion of innovation theory (Rogers, 1983), unified theory of acceptance and use of technology (Venkatesh et al., 2003), extended UTAUT (Venkatesh et al., 2012) to implement them in the e-government context. The e-government research undertaken in the Jordanian context is no different where only the handful of studies (e.g., Abu-Shanab et al., 2010; Al Nagi and Hamdan, 2009; Al-Ryalat et al., 2012; Nofal et al., 2021) have been published. These studies largely endeavor to understand factors influencing the adoption of digital government services where the similar predominant theories were used to analyse the factors such as website usefulness, ease of use, subjective norms, facilitating conditions, perceived behavioral control, compatibility, trialability, hedonic motivation, attitude, self-efficacy, etc. So these studies provide only the initial understanding and repeated performance of some key constructs originating from the key theories of technology adoption and diffusion. We also argue that most of the studies on e-government adoption use well-known theoretical models could be constraining as the effectiveness of these theories is largely context specific. Moreover, these theories mostly explain the functional and social aspect of e-government adoption but miss out on the other pertinent and overlooked aspects of public services adoption such as emotional and relational drivers. By using the various constructs under each one of these categories, this research analyses the influence of constructs belonging to all these categories including functional (e.g. relative advantage), social (e.g. awareness), emotional (e.g. computer self-efficacy, resistance to change), and relational (e.g. trust) on to citizens’ intention to use them.

Complete Article List

Search this Journal:
Reset
Volume 20: 1 Issue (2024)
Volume 19: 1 Issue (2023)
Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing