A Review of Literature: Modelling the Operability of a Micro-chip E-ID Possibility in Botswana - The Inclusiveness of Big Data and IoT

Abstract

The technological and digitization of 4th industrial revolution is wildly pacing and persistent. It cannot be stopped, and this revolution is spurred by the people’s desire to lead a better and easy life. The Covid-19 pandemic has hastened the upsurge of automation, digitalization and the inception of the fifth industrial revolution (5IR) resulting in Botswana seeing a prenominal increase of 269% in the uptake of fixed bandwidth services and up to 55% reduction in mobile broadband prices post Covid-19 together with an establishment of data centers to enable cloud storage for businesses. As countries cross over to the digital domain of long set digital transformation visions, methods of asserting our national identity need to transform to support the journey, hence, adding value to sustainable economic development. This paper reviews a list of literature using the theoretical and systematic reviews on the current identity practices and modelling a micro-chip electronic identification (E-ID) implementation with the inclusion of Big Data and internet of things (IoT). This paper offers an insight into the feasibility and technological aspects of this potential identity solution. This review of literature was done in particularly with a search technique of “E-ID implementation”, which aims at examining what other existing literatures have embodied the various aspects associated with E-ID implementation alongside the methodologies and frameworks applied in the process. Based on the analysis of scientific narratives, which will, as well map out and model variables to measure and how to expect them to relate to one another will guide and align the current author PhD research process on the topic “Modelling the Operability of a Micro-chip E-ID Possibility in Botswana - The Inclusiveness of Big Data and IoT”. The review is established on the systematic database searches and it includes peer reviewed articles, journals and papers published between 2017 and 2022.