Affiliation:
1. Department of Political Science Purdue University West Lafayette Indiana USA
Abstract
AbstractDoes collective citizen input impact government priorities and performance in service provision? As cities increasingly offer interactive issue reporting options through online platforms and mobile apps, I investigate whether comments and follows on requests drive faster issue resolution. I theorize that this input signals issue validity, severity, or scrutiny, assisting city administrators in prioritizing and responding to requests. Leveraging a novel dataset of requests from 100 cities, I find that comments and follows double the probability of request closure and that collaborative requests are resolved up to 5 days faster on average than non‐collaborative requests. By comparing two cities that use the same platform but that differ in the observability of citizen collaboration, I isolate a distinct and significant influence of collective citizen input on government responsiveness. The findings speak to how technological advances enable information‐sharing from citizens that can shape service delivery rules and outcomes.
Subject
Marketing,Public Administration,Sociology and Political Science
Cited by
1 articles.
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1. Governance Design of Collaborative Intelligence for Public Policy and Services;Proceedings of the 25th Annual International Conference on Digital Government Research;2024-06-11