Crowdsourcing in Municipal Ombudsman Offices

Municipal ombudsman offices face challenges in managing increasing citizen demands and stimulating meaningful participation, despite legal frameworks guaranteeing citizen rights. Crowdsourcing presents a potential avenue to improve the efficiency of the Ombudsman office and the engagement of citizens. This systematic literature review (SLR) investigates the application of crowdsourcing in municipal ombudsman offices, synthesizing existing research to identify best practices, challenges, and research gaps. A comprehensive search of academic databases from 2010 to 2023 initially yielded 1590 papers. Following a rigorous five-stage filtering process, 24 relevant studies were selected for in-depth analysis. The findings reveal a growing trend of utilizing crowdsourcing primarily for feedback collection and complaint management, although its application in direct decision-making processes within ombudsman offices remains limited. While the literature reports benefits such as increased efficiency and faster problem resolution, significant challenges persist. These include digital inequality, which can exclude vulnerable populations; concerns about the credibility of citizen-submitted data; and institutional resistance to adopting new, crowdsourced approaches. This review indicates the need for further research into the long-term impacts of crowdsourcing on citizen empowerment and ombudsman office accountability. The study provides a valuable foundation for researchers and practitioners seeking to leverage crowdsourcing to strengthen municipal ombudsman services and promote citizen participation, emphasizing the importance of addressing these identified challenges to realize the full potential of crowdsourcing in this context.

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Publication Details

Journal
Conference on Digital Government Research
Published
2025-05-20
DOI
https://doi.org/10.59490/dgo.2025.959
Primary Topic
Ombudsman and Human Rights
Type
article
Field-Weighted Citation Impact
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article

Crowdsourcing in Municipal Ombudsman Offices

Cristiano Maciél, Jean Zahn
Conference on Digital Government Research
Ombudsman and Human Rights
article

Crowdsourcing in Municipal Ombudsman Offices

Cristiano Maciél, Jean Zahn
article en

Abstract

Municipal ombudsman offices face challenges in managing increasing citizen demands and stimulating meaningful participation, despite legal frameworks guaranteeing citizen rights. Crowdsourcing presents a potential avenue to improve the efficiency of the Ombudsman office and the engagement of citizens. This systematic literature review (SLR) investigates the application of crowdsourcing in municipal ombudsman offices, synthesizing existing research to identify best practices, challenges, and research gaps. A comprehensive search of academic databases from 2010 to 2023 initially yielded 1590 papers. Following a rigorous five-stage filtering process, 24 relevant studies were selected for in-depth analysis. The findings reveal a growing trend of utilizing crowdsourcing primarily for feedback collection and complaint management, although its application in direct decision-making processes within ombudsman offices remains limited. While the literature reports benefits such as increased efficiency and faster problem resolution, significant challenges persist. These include digital inequality, which can exclude vulnerable populations; concerns about the credibility of citizen-submitted data; and institutional resistance to adopting new, crowdsourced approaches. This review indicates the need for further research into the long-term impacts of crowdsourcing on citizen empowerment and ombudsman office accountability. The study provides a valuable foundation for researchers and practitioners seeking to leverage crowdsourcing to strengthen municipal ombudsman services and promote citizen participation, emphasizing the importance of addressing these identified challenges to realize the full potential of crowdsourcing in this context.

Conference on Digital Government ResearchVol. 1
Universidade Federal Fluminense (BR), Universidade Federal de Mato Grosso (BR)
Openalex Percentile: Top 86%
Ombudsman and Human Rights
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Crowdsourcing in Municipal Ombudsman Offices — Cristiano Maciél, Jean Zahn · Conference on Digital Government Research (2025) | TGRS Research Map | TGRS