Factors influencing the adoption of e‐government websites in Afghanistan from the citizens' perspective

Abstract

The report by the United Nations in 2020 stated that Afghanistan was ranked 118th position in the e‐participation index which shows the low level of adoption among the Afghan citizens to online services offered by the e‐government websites in Afghanistan. As no previous research has been conducted to explore the influential factors on the adoption of e‐government websites in Afghanistan, this research fills the research gap by exploring the impact of website quality factors, trust factors, and technology adoption factors on intention to use e‐government websites from the citizens' perspective in Afghanistan. This research also investigates the impact of factors on the adoption of governmental websites at three levels (information, interaction, and transaction) of e‐government maturity. As part of the current research, the unified model of e‐government adoption (UMEGA) model was extended by integrating website quality factors and trust factors, which were extracted based on an extensive literature review. To validate the model, a survey of 294 Afghan citizens was conducted in four provinces of Afghanistan. The data were then analyzed using the partial least square‐structured equation modeling (PLS‐SEM) technique. The result revealed that websites quality, technology adoption, and trust factors have major impacts on the adoption of e‐government websites in Afghanistan, the impact of which varies depending on the level of e‐government maturity. Public administrators, officials, policymakers, website designers, and researchers have potential implications from the findings of this research regarding the adoption of governmental websites in Afghanistan.

Older adults' e-government use for bureaucratic and transactional purposes: the role of website-related perceptions and subjective digital skills

“…In accordance with H1 and H2, the finding shows that transactional e-government use by older adults is a function of the technology-related attitudes employed. This corroborates the findings of the previous research conducted in general (Abu-Shanab, 2014;Camilleri, 2020;Chen and Aklikokou, 2020;Mohammadi, 2022) and older (Choudrie et al, 2017;Phang et al, 2005) populations, and are in line with the uncertainty reduction theory and the Technology Acceptance Model. Online transactions may incorporate risks (Venkatesh et al, 2016) like data leaking, being hacked and more.…”

“…Better design of governmental websites is argued to increase customer satisfaction with e-service. Previous research conducted in general population found that perception of website design positively related to e-government adoption (Alomari et al, 2012), and that website quality positively related to the intention to use e-government services (Mohammadi, 2022). Summarizing all these aspects and findings, it is proposed that:…”

“…The associations between related attitudes and e-government use in general population have been extensively examined (Abu-Shanab, 2014;Alomari et al, 2012;Camilleri, 2020;Chen and Aklikokou, 2020;Dodel and Aguirre, 2018;Gilbert et al, 2004;Mohammadi, 2022;Nawafleh, 2018;Venkatesh et al, 2016). This is much less to be the situation in the research on aging and technology (Choudrie et al, 2017;Phang et al, 2005;Yap et al, 2017).…”

“…, 2012; Camilleri, 2020; Chen and Aklikokou, 2020; Dodel and Aguirre, 2018; Gilbert et al. , 2004; Mohammadi, 2022; Nawafleh, 2018; Venkatesh et al. , 2016).…”

Digital inclusion for all? A gender-disaggregated analysis of e-government service use in Indonesia

“…Extensive research has been conducted on the factors influencing citizens’ decision to use e-government services in various contexts (Acilar, 2020; Alkhateeb and Abdalla, 2021; Arshad and Khurram, 2021; Choi and Park, 2013; Garín-Muñoz et al , 2019; Herdiana et al , 2022; Iong and Phillips, 2022; Mensah et al , 2022; Mohammadi, 2022; Pérez-Amaral et al , 2021; Soni and Mitchell, 2022; Xin et al , 2022). Nevertheless, there remains a gap in understanding the specific role that gender plays in these decisions.…”