Cognitive Biases in Governing: Technology Preferences in Election Administration

Abstract

Cognitive biases are heuristics that shape individual preferences and decisions in a way that is at odds with means‐end rationality. The effects of cognitive biases on governing are underexplored. The authors study how election administrators’ cognitive biases shape their preferences for e‐voting technology using data from a national survey of local election officials. The technology acceptance model, which employs a rational, means‐end perspective, suggests that the perceived benefits of e‐voting machines explain their popularity. But findings indicate that cognitive biases also play a role, even after controlling for the perceived benefits and costs of the technology. The findings point to a novel cognitive bias that is of particular interest to research on e‐government: officials who have a general faith in technology are attracted to more innovative alternatives. The authors also find that local election officials who prefer e‐voting machines do so in part because they overvalue the technology they already possess and because they are overly confident in their own judgment.