Implementation success of automated systems for customs data in developing countries: empirical evidence of Uganda revenue authority Online publication date: Mon, 02-Sep-2024
by Peter Manana; Faisal Mubuke; Lawrence Nkamwesiga; Phillip Khatiya; Ayub Masaba
International Journal of Electronic Governance (IJEG), Vol. 16, No. 2, 2024
Abstract: The study focused on examining the relationship between the factors that influence the implementation success of an automated system for customs data usage in the Uganda Revenue Authority. A cross-sectional and quantitative survey design was adopted, consisting of a sample of 118 respondents from the three eastern regional branches of the Uganda Revenue Authority. The findings revealed a positive and significant relationship between perceived systems quality, self-management of usage, perceived net benefits, perceived information quality, and implementation success of ASYCUDA World moderated by user attitude. The predictive power of the study variables was found to be 35% (adjusted R square = 0.350). In this regard, perceived systems quality, self-management of usage, perceived net benefits and perceived information quality were found to be better predictors of the implementation success of ASYCUDA World. This study adds to the body of knowledge available by generating further evidence regarding the factors influencing the implementation success of ASYCUDA World in Uganda Revenue Authority.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Governance (IJEG):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com