The Challenges of the Bimodal Voter Accreditation System (BVAS) and the 2023 Presidential Election in Ekiti State

This study assessed the performance and the challenges of the Bimodal Voter Accreditation System (BVAS) in the 2023 presidential elections in Ekiti State, Nigeria. The research adopts a descriptive research design, utilizing secondary data collected from various reports, articles, and electoral records. A qualitative content analysis was employed to analyze the data, focusing on four key areas: the nature and frequency of BVAS malfunctions, the impact of connectivity issues on real-time transmission, the adequacy of training for electoral officials, and INEC’s preparedness in addressing logistical challenges. The findings reveal that BVAS encountered frequent malfunctioning, particularly in rural areas, primarily due to connectivity issues that hindered the real-time transmission of election results. These technical difficulties were exacerbated by inadequate training for electoral officials, resulting in delays and disenfranchisement. Furthermore, INEC’s logistical preparedness was found to be insufficient, as issues with device deployment and technical support systems hindered the smooth operation of the BVAS machine. Despite these challenges, BVAS contributed positively to the reduction of voter fraud, such as multiple voting and impersonation, especially in urban areas where connectivity was more stable. While BVAS demonstrated potential for improving electoral transparency, its implementation in Ekiti State during the 2023 Presidential elections highlighted critical gaps in infrastructure, training, and issues of logistics. The study recommends that INEC invests more in robust infrastructural development, improves training for electoral officials, enhance voter education on the use of BVAS, and ensure better logistical plans to address the challenges of deploying the BVAS machine in future elections.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15860487
Primary Topic
African Education and Politics
Type
article
Field-Weighted Citation Impact
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article

The Challenges of the Bimodal Voter Accreditation System (BVAS) and the 2023 Presidential Election in Ekiti State

Zenodo (CERN European Organization for Nuclear Research)
African Education and Politics
article

The Challenges of the Bimodal Voter Accreditation System (BVAS) and the 2023 Presidential Election in Ekiti State

article en

Abstract

This study assessed the performance and the challenges of the Bimodal Voter Accreditation System (BVAS) in the 2023 presidential elections in Ekiti State, Nigeria. The research adopts a descriptive research design, utilizing secondary data collected from various reports, articles, and electoral records. A qualitative content analysis was employed to analyze the data, focusing on four key areas: the nature and frequency of BVAS malfunctions, the impact of connectivity issues on real-time transmission, the adequacy of training for electoral officials, and INEC’s preparedness in addressing logistical challenges. The findings reveal that BVAS encountered frequent malfunctioning, particularly in rural areas, primarily due to connectivity issues that hindered the real-time transmission of election results. These technical difficulties were exacerbated by inadequate training for electoral officials, resulting in delays and disenfranchisement. Furthermore, INEC’s logistical preparedness was found to be insufficient, as issues with device deployment and technical support systems hindered the smooth operation of the BVAS machine. Despite these challenges, BVAS contributed positively to the reduction of voter fraud, such as multiple voting and impersonation, especially in urban areas where connectivity was more stable. While BVAS demonstrated potential for improving electoral transparency, its implementation in Ekiti State during the 2023 Presidential elections highlighted critical gaps in infrastructure, training, and issues of logistics. The study recommends that INEC invests more in robust infrastructural development, improves training for electoral officials, enhance voter education on the use of BVAS, and ensure better logistical plans to address the challenges of deploying the BVAS machine in future elections.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
African Education and Politics
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