Affiliation:
1. London School of Economics and Political Science, UK
2. Loughborough University, UK
3. Athens University of Economics and Business, Greece
Abstract
This article constructs explanatory theory on trust in e-voting, a term that refers to the use of stand-alone IT artefacts in voting stations. We study e-voting as a techno-organisational arrangement embedded in the process of elections and the broader socio-economic context of a country. Following a critical realist approach, we apply retroduction and retrodiction principles to build theory by complementing existing studies of e-voting with insights from an in-depth case study of elections in India. First, we seek evidence of trust in e-voting in the responses of the public to the announcement of election results. Then we derive the following four mechanisms of trust creation or loss: the association of e-voting with the production of positive democratic effects; the making of e-voting part of the mission and identity of electoral authorities; the cultivation of a positive public attitude to IT with policies for IT-driven socio-economic development; and, in countries with turbulent political cultures, a clear distinction between the experience of voting as orderly and experiences of malpractice in other election tasks. We suggest that these mechanisms explain the different experience with e-voting of different countries. Attention to them helps in assessing the potential of electoral technologies in countries that are currently adopting them, especially fragile democracies embarking upon e-voting.
Subject
Library and Information Sciences,Strategy and Management,Information Systems
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Co‐constructing cooperative value ecosystems: A critical realist perspective;Information Systems Journal;2024-07-29
2. Does location matter in IS research? A developing country perspective from India;Information Systems Journal;2024-03-19
3. A Canary in the Voting Booth: Attacks on a Virtual Voting Machine;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
4. Analysis of Attack Scenarios Relating to Changes in Voter Votes on E-Voting Systems;2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA);2023-10-12
5. Perception and Expectations of Vote Counting and Validation Systems: A Survey of Electoral Stakeholders;2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2023-08-03