Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE: a PLS-SEM Approach

Abstract

The digital technologies such as internet play a crucial role in the management of operations of organizations in both public and private sectors. Such technologies support the implementation of effective digital business strategies. By reviewing the extant literature, this paper aims to identify factors that influence the intention to use digital technologies in order to develop a theoretical model which is then tested empirically using the PLS-SEM approach. While many studies have focused solely on the importance of social influence, perceived usefulness, perceived ease of use, awareness, perceived trust in technology, perceived trust in government, perceived cost, and perceived risk, this article brings them together to explain their linkage, and quantifies the relationship. This study is the first empirical attempt to explore the factors influence e-government services adoption in the UAE. Most specifically, this article emphasizes the role of social influence, perceived ease to use, and perceived trust in technology as the important determinants of the intention to digital technology adoption. The paper expands the traditional discussion by incorporating six variables, in addition to Davis's (1989) the perceived ease to digital technologies use and perceived usefulness, in a model that acts as facilitator or barrier in the intention to use digital technologies. This article helps practitioners to understand of which factors should be given emphasis in enhancing the intention to use digital technologies. The model developed in this paper is not only a response to the need to understand what causes the variation in the intention to use digital technologies from the operation management perspective, it is also a response to practitioner needs to use an appropriate construct to ensure the effective operation and use of the digital technologies in e-government services. The paper will help to identify the key

Predicting determinants of the intention to use digital currency in the UAE: An empirical study

“…AW in this study is mediated by PU and PEOU to predict intention to use the digital currencies in the UAE. In this regard, similar results were reported by Jasimuddin et al (2017), in that awareness was not a direct significant factor influencing ITU, which is supposed to be prerequisite to usage and benefits (Almuraqab, 2017). This finding contradicts those of Shahzad et al (2018), who reported that AW is a direct significant determinant of citizens' intention to use Bitcoin in China.…”

“…A study by Baur et al (2015) on Bitcoin adoption argued for the importance of social influence, and how word-of-mouth enhanced and triggered the adoption of digital currency (Bitcoin) as a fiat currency. This is in line with studies (Almuraqab, 2017;Jasimuddin, Mishra, & Almuraqab, 2017) that have demonstrated the significance of social influence on adoption of technology, so it is hypothesized that H6. Social influence will have a positive influence on UAE citizens' intention to use digital currency.…”

M-government Adoption Research Trends: A Systematic Review

“…Despite, the fact that many researchers have criticized the TAM; for instance, Gillenson and Sherrell (2002) pointed out TAM's failure to account for social influence on the adoption of new technologies, and Chen and Huang (2006) are critical of this model's low explanatory power. This has led to further investigations of the studies that adopted TAM, in which we found that current studies have addressed these criticisms by incorporating other theories, such as DOI (Saadi et al 2017), or considering external factors, such as social influence (Jasimuddin et al 2017). Analysis of the current studies showed that TAM was the most used theory because of its flexibility in incorporating external factors and other theories.…”

“…The most common recommendations were related to the use of additional or more relevant factors and variables. For instances, demographic variables (Saxena 2017;Jasimuddin et al 2017;Saadi et al 2017;Almuraqab 2017), cost (Glood et al 2016a;ElSherif et al 2016; Abu-Shanab and Haider 2015) and security (Glood et al 2016a;Glood et al 2016b;Alrowili et al 2015).…”

Information Technology/Systems Adoption in the Public Sector

“…It is also important to note majority of the previous studies on e-government adoption have focused on citizens (e.g. Al-Shafi et al, 2009;Carter and Schaupp, 2008;McLeod et al, 2009;Chan et al, 2010;Schaupp et al, 2010;Jasimuddin et al, 2017) rather than employees of the public sector (Gupta et al, 2008;Dasgupta and Gupta, 2011). To fill this gap, the current study aims to identify the factors that impact attitude of 'early adopters' towards adoption of IT/IS and the focus is on public sector employees rather than citizens.…”