The electoral process has suffered from deep political instability following the post-colonial independence of most African nations. Moreover, the electoral process in many countries is characterized by massive rigging, high cost of electoral materials, and declaration of false results. In this paper, we will present a review of the blockchain Technology and some of the potential roles to play in conducting a transparent election. This paper opines that with the emergence of the blockchain technology, African Nations should tap from it and build a reliable, secure, and convenient electoral voting system. It further suggests that a blockchain electoral voting system will eliminate most of the challenges faced by African nations in conducting a free, fair and transparent election with low cost and total security. The issue of election rigging is almost completely eradicated with this technology (if properly installed). An attempt to alter/manipulate records (votes) in the system's database can be spotted easily, because of its rigorous consensus rules, such an attempt is considered void and denied permission to access, alter, or destroy any of the previously saved votes. However, the paper argues that there are institutional challenges to implementing this technology within the continent. Specifically, there is a need to educate the masses as well as create robust policies that can accommodate this technology within the continent. Failure to acknowledge these challenges may well prevent the application of blockchain technology in African electoral process in the foreseeable future.
Enterprise Resource Planning (E.R.P.) systems are becoming popular among institute of higher education. This study is oriented to the afterwards of the problems faced by the management and their support staff and students in respect of the issues related to the successful implementation of the educational ERP (e_ERP) software in the sector of the higher education institution (H.E.I.). This research study goes on to define the relationship between the different variables of the e_ERP system.
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