Local Government Officials’ Interest in Generative AI and Its Influence on Broader Engagement with Digital Technologies

This study analyzes how the emergence of generative AI has influenced local government employees’ interest in digital technologies in Japan. Using comparative data collected before and after its emergence, we examine differences across organizational types, job roles, and awareness of work-related issues. The findings reveal that generative AI elicits exceptionally high and uniform interest, regardless of staff attributes, and serves as a catalyst for increasing interest in related, implementable technologies. However, its influence is uneven across technological domains. These results provide new insight into how emerging technologies reshape digital engagement in public administration and suggest strategies for effective digital transformation.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.354
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
0.00
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article

Local Government Officials’ Interest in Generative AI and Its Influence on Broader Engagement with Digital Technologies

Eiji Kano, Kazuhiko Tsuda
Procedia Computer Science
E-Government and Public Services
article

Local Government Officials’ Interest in Generative AI and Its Influence on Broader Engagement with Digital Technologies

Eiji Kano, Kazuhiko Tsuda
article en

Abstract

This study analyzes how the emergence of generative AI has influenced local government employees’ interest in digital technologies in Japan. Using comparative data collected before and after its emergence, we examine differences across organizational types, job roles, and awareness of work-related issues. The findings reveal that generative AI elicits exceptionally high and uniform interest, regardless of staff attributes, and serves as a catalyst for increasing interest in related, implementable technologies. However, its influence is uneven across technological domains. These results provide new insight into how emerging technologies reshape digital engagement in public administration and suggest strategies for effective digital transformation.

Procedia Computer ScienceVol. 270
Otsuka (Japan) (JP), University of Tsukuba (JP), Ritsumeikan Asia Pacific University (JP)
Openalex Percentile: Top 63%
E-Government and Public Services
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Local Government Officials’ Interest in Generative AI and Its Influence on Broader Engagement with Digital Technologies — Eiji Kano, Kazuhiko Tsuda · Procedia Computer Science (2025) | TGRS Research Map | TGRS