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Paper Type
Complete
Description
The fallout of the 2020 US presidential election has left a legacy of distrust in election systems in some subsets of the population. It is critical to the continued success of the US democratic system to analyze the mechanics of how the electorate forms a basis of trust that leads to their intention to participate in democracy. If enough people reject the process that supports democracy, this can result in instability and chaos in social systems. This study analyzes these constructs through the lens of the Socio-Technical Model (STM) (Bostrom and Heinen, 1977). This lens facilitated the creation of a new Election Security Model (ESM) and survey instrument. This survey instrument was validated in a pilot study. A subsequent large-scale study of the entire US population was then carried out. The findings showed the STM precursors were strongly correlated to trust. Surprisingly, trust was only weakly correlated to intention to use the system.
Paper Number
1301
Recommended Citation
Kaufman, Jonathan and Lapke, Michael, "Trust in E-Government: An Investigation of the Socio-Technical in Election Systems" (2023). AMCIS 2023 Proceedings. 4.
https://aisel.aisnet.org/amcis2023/sig_egov/sig_egov/4
Trust in E-Government: An Investigation of the Socio-Technical in Election Systems
The fallout of the 2020 US presidential election has left a legacy of distrust in election systems in some subsets of the population. It is critical to the continued success of the US democratic system to analyze the mechanics of how the electorate forms a basis of trust that leads to their intention to participate in democracy. If enough people reject the process that supports democracy, this can result in instability and chaos in social systems. This study analyzes these constructs through the lens of the Socio-Technical Model (STM) (Bostrom and Heinen, 1977). This lens facilitated the creation of a new Election Security Model (ESM) and survey instrument. This survey instrument was validated in a pilot study. A subsequent large-scale study of the entire US population was then carried out. The findings showed the STM precursors were strongly correlated to trust. Surprisingly, trust was only weakly correlated to intention to use the system.
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