Adeshina, Steve A. and Ojo, Adegboyega (2020) Factors for e-voting adoption - analysis of general elections in Nigeria. Government Information Quarterly, 37 (3). p. 101257. ISSN 0740624X
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Abstract
The adoption and use of e-voting technologies in major elections remain largely problematic regardless of where they are implemented. This has motivated a number of survey-based empirical studies on determining important factors for e-voting adoption based on existing technology adoption models. However, there is a paucity of studies, which provide deep insights and understanding of core issues involved in e-voting adoption success or failures in different contexts. This article describes an ethnography carried out with the goal to understand factors that support or inhibit e-voting adoption based on detailed data collected during the 2011 Nigerian General Elections. By consolidating existing e-voting adoption models and a multi-level innovation adoption model into an analytical framework, we analysed the observations made by one of the authors as a participant in the adoption and implementation of the e-voting initiative as well as the post-election reports. Our findings are synthesized into a multi-level e-voting adoption model. In addition, we catalog a number of factors that could negatively affect e-voting adoption in a similar environment. Our results contribute to advancing theory building in e-voting adoption while it provides practitioners with a concrete checklist of success factors and barriers for adopting e-voting technologies.
Item Type: | Article |
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Keywords: | E-voting adoption; Innovation theory; IS adoption; Ethnography; E-voting; Nigerian elections; |
Academic Unit: | Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
Item ID: | 15778 |
Identification Number: | 10.1016/j.giq.2017.09.006 |
Depositing User: | Laura Gallagher |
Date Deposited: | 05 Apr 2022 14:24 |
Journal or Publication Title: | Government Information Quarterly |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15778 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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