The determinants of Mobile government services adoption: The moderating effect of perceived government support (PGS)

Abstract

This study holds the view that the m-government success depends on the adequate intervention and support of government. Given this, the study seeks to investigate the role that government support can play on m-government services acceptance. Particularly the study examines the moderating influence of perceived government support (PGS) on m-government services usage. A structural equation model (SEM) method was deployed with Smart PLS 3.0. Analysis from the data captured using a comprehensive Unified Theory of Acceptance and Use of Technology (UTAUT) model, demonstrated that contrary to the initial held view, performance expectancy (PE) did not impact the acceptance behavior of m-government services. Facilitating conditions, security and privacy, trust in m-government and quality of information had a direct positive influence on m-government services adoption. The findings also revealed that PGS had a significant moderating influence on PE, facilitation conditions, and trust towards the adoption of mobile government services. However, perceived government support had no significant moderating effect on security and privacy and information quality on the adoption of m-government services. These results guide researchers and practitioners in respect of the role government support plays in making m-government a success and how government aid should be designed to have the maximum impact on changing the adoption behavior of citizens.

The role of mGovernment applications in building trust during public crises: Evidence from the COVID-19 epidemic

“…Similarly, another study highlighted that perceived responsiveness, transparency, and security are strongly linked to public trust in e-government services [ 34 ]. Some studies have further expanded this scope by identifying that the facilitating conditions, concerns for security and privacy, trust in mGovernment, and quality of information, directly influence the initial adoption of mGovernment services [ 35 ]. In addition, the DeLone and McLean ISSM has been widely adopted to explain why users are satisfied with mGovernment apps [ 36 , 37 ].…”