Exploratory Research on Improving the Administrative Services Convenience of AI Recommendation System for Employment Support Fund

This study examines the applicability of artificial intelligence (AI) in public administration by developing an AI-based employment subsidy recommendation prototype. Policy documents were structured into a dataset using Gemini 2.5 Pro, and the prototype’s perceived usability and accuracy were validated through a pilot test with labor attorneys and SME workers, followed by a survey of 205 SME owners and HR managers. Results showed substantial difficulties with the existing application process, while the AI prototype received high evaluations in trust, perceived usability, administrative efficiency, and expected impact on application rates. These findings provide empirical evidence that LLM-based administrative support can reduce procedural burdens and improve accessibility, demonstrating its potential to support more personalized and efficient public services.

Authors

Publication Details

Journal
Journal of Korea Multimedia Society
Published
2026-02-28
DOI
https://doi.org/10.9717/kmms.2026.29.2.374
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploratory Research on Improving the Administrative Services Convenience of AI Recommendation System for Employment Support Fund

Hanjin Lee, Ahyun Cho
Journal of Korea Multimedia Society
AI and HR Technologies
article

Exploratory Research on Improving the Administrative Services Convenience of AI Recommendation System for Employment Support Fund

Hanjin Lee, Ahyun Cho
article en

Abstract

This study examines the applicability of artificial intelligence (AI) in public administration by developing an AI-based employment subsidy recommendation prototype. Policy documents were structured into a dataset using Gemini 2.5 Pro, and the prototype’s perceived usability and accuracy were validated through a pilot test with labor attorneys and SME workers, followed by a survey of 205 SME owners and HR managers. Results showed substantial difficulties with the existing application process, while the AI prototype received high evaluations in trust, perceived usability, administrative efficiency, and expected impact on application rates. These findings provide empirical evidence that LLM-based administrative support can reduce procedural burdens and improve accessibility, demonstrating its potential to support more personalized and efficient public services.

Journal of Korea Multimedia SocietyVol. 29(2)
Decent work and economic growth
Openalex Percentile: Top 13%
AI and HR Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.