Citizen Satisfaction and Traffic Police: Theoretical, Managerial, and Policy Implications of Using a Telegram Channel

This study examines the effect on a municipality’s traffic police of using a Telegram channel as a community information service. Applying Structural Equation Modeling (SEM) to 388 users of the traffic police Telegram channel, the findings reveal that citizens’ satisfaction with the Telegram channel is positively associated with their trust and overall satisfaction with the Traffic Police. This trust and satisfaction in turn enhance the perceived external prestige of the police. The study also outlines theoretical, managerial, and political implications, and concludes with a discussion of limitations and future research opportunities.

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Publication Details

Journal
Administration & Society
Published
2025-07-13
DOI
https://doi.org/10.1177/00953997251345734
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Citizen Satisfaction and Traffic Police: Theoretical, Managerial, and Policy Implications of Using a Telegram Channel

Fabrizio Striani, Elio Borgonovi, Silvia Blasi, Fabio De Matteis
Administration & Society
Crime Patterns and Interventions
article

Citizen Satisfaction and Traffic Police: Theoretical, Managerial, and Policy Implications of Using a Telegram Channel

Fabrizio Striani, Elio Borgonovi, Silvia Blasi, Fabio De Matteis
article en

Abstract

This study examines the effect on a municipality’s traffic police of using a Telegram channel as a community information service. Applying Structural Equation Modeling (SEM) to 388 users of the traffic police Telegram channel, the findings reveal that citizens’ satisfaction with the Telegram channel is positively associated with their trust and overall satisfaction with the Traffic Police. This trust and satisfaction in turn enhance the perceived external prestige of the police. The study also outlines theoretical, managerial, and political implications, and concludes with a discussion of limitations and future research opportunities.

Administration & SocietyVol. 57(7)
University of Verona (IT), University of Salento (IT), University of Bari Aldo Moro (IT), Bocconi University (IT)
Openalex Percentile: Top 77%
Crime Patterns and Interventions
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