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정보격차가 인공지능 서비스 이용 경험에 미치는 영향 : 접근ㆍ역량ㆍ활용 격차의 매개 효과와 취약계층 간 이질성 분석
The Effect of Digital Divide on AI Service Usage Experience : Mediating Role of Access, Skill, and Usage Gaps with Heterogeneity Analysis across Vulnerable Groups

첫 페이지 보기
  • 발행기관
    한국정보기술응용학회 바로가기
  • 간행물
    JITAM 바로가기
  • 통권
    Vol.33 No.2 (2026.04)바로가기
  • 페이지
    pp.13-25
  • 저자
    이종서
  • 언어
    한국어(KOR)
  • URL
    https://www.earticle.net/Article/A485875

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원문정보

초록

영어
This study draws on microdata from the 2023 NIA Digital Information Gap Survey (N = 17,300) to examine what really drives the gap in AI service adoption. Hierarchical binary logistic regression was used alongside bootstrap- based serial mediation analysis. Among the three dimensions of the digital divide, digital skill turned out to be by far the strongest predictor of AI usage (OR = 1.887 in Block 3), dwarfing the effects of access (OR = 1.143). When usage diversity was added in Block 4, skill remained dominant (OR = 1.708) while usage also showed a significant positive effect (OR = 1.418). The serial mediation path running from access through skill to AI usage was statistically significant (β = 0.02988, 95% CI [0.02522, 0.03466]), which points to skill as the primary bottleneck in the pathway from access to AI adoption. Splitting the sample by population group revealed pronounced inter-group variation : the AI adoption gap was widest among agricultural workers and older adults, while marriage immigrants recorded AI usage rates that, contrary to initial expectations, exceeded those of the general population. On balance, these results suggest that investing in digital competency education is likely to yield greater returns for closing the nascent AI divide than continuing to channel resources primarily into device-distribution programmes. However, the cross-sectional design precludes strict causal inference, the skill measure does not capture AI-specific competencies, and the OLS-based mediation estimates may involve approximation error given the binary outcome. Future research should address these limitations through longitudinal data and AI-tailored literacy instruments.

목차

Abstract
1. 서론
1.1 연구배경
1.2 연구 목적 및 필요성
2. 이론적 배경
2.1 디지털 정보격차의 다차원 위계 모형
2.2 AI 격차 : 디지털 격차의 새로운 층위
2.3 취약계층의 디지털 격차와 이질성
2.4 연구 모형 및 가설
3. 연구 방법
3.1 데이터 및 분석 대상
3.2 변수 구성
3.3 분석 방법
4. 분석 결과
4.1 집단별 AI 서비스 이용 경험률 및 격차 지수
4.2 위계적 로지스틱 회귀분석 결과 (H1 검증)
4.3 연쇄 매개 효과 분석 결과 (H2 검증)
4.4 집단별 로지스틱 회귀 비교 (H3 검증)
4.5 집단별 AI 인식 비교
5. 결론 및 정책 제언
5.1 연구 결과 요약
5.2 정책적 제언
5.3 연구의 한계 및 향후 과제
References

키워드

Digital Divide AI Service Usage Digital Skill Vulnerable Groups Serial Mediation AI Divide

저자

  • 이종서 [ Jong-Seo Lee | Ph.D. candidate, Seoul National University of Science and Technology, Graduate School of IT Policy ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술응용학회 [The Korea Society of Information Technology Applications]
  • 설립연도
    1999
  • 분야
    사회과학>경영학
  • 소개
    본 학회는 정보기술 관련 분야의 연구 및 교류를 촉진하여 국가 및 기업정보화 발전에 공헌함을 그 목적으로 한다.

간행물

  • 간행물명
    JITAM [Journal of Information Technology Applications and Management]
  • 간기
    격월간
  • pISSN
    1598-6284
  • eISSN
    2508-1209
  • 수록기간
    1999~2026
  • 십진분류
    KDC 005 DDC 005

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