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The Korean Society for Journalism & Communication (KSJCS)
[ Article ]
Korean Journal of Journalism & Communication Studies - Vol. 68, No. 1, pp.78-120
ISSN: 2586-7369 (Online)
Print publication date 29 Feb 2024
Received 30 Nov 2023 Accepted 29 Jan 2024 Revised 31 Jan 2024
DOI: https://doi.org/10.20879/kjjcs.2024.68.1.003

지능정보기술 활용 집단의 유형화와 개인정보 제공의도 결정 요인 : 디지털 역량의 잠재집단분석을 중심으로

심홍진*** ; 박준혁****
***정보통신정책연구원 연구위원 hjshim@kisdi.re.kr
****정보통신정책연구원 연구원 pjyy84@gmail.com
Typology of Intelligent Information Technology Usage Groups and Determinants of Private Information Provision Intention : Focusing on Latent Class Analysis of Digital Competence
Hongjin Shim*** ; Joonhyeog Park****
***Research Fellow, Korea Information Society Development Institute, corresponding author hjshim@kisdi.re.kr
****Researcher, Korea Information Society Development Institute pjyy84@gmail.com

초록

본 연구의 목적은 지능정보사회를 향유하는 개인을 디지털 역량 수준에 따라 잠재집단분석을 통해 유형화하고 유형화된 집단별로 개인의 자의적 개인정보 제공의도에 영향을 미치는 결정 요인을 고찰하는 것이다. 이를 위해 본 연구는 방송통신위원회가 공개한 <2022년 지능정보사회 이용자 패널조사>의 횡단면 자료(N=5,378)를 활용하였다(방송통신위원회·정보통신정책연구원, 2023). 디지털 역량에 대한 문항 응답 값을 바탕으로 잠재집단분석을 수행하여 응답자들을 크게 세 가지 유형으로 분류하였으며 그 특성에 따라 각각 ‘디지털 적극 활용형’(35.5%), ‘디지털 생활 활용형’(48.8%), ‘디지털 소외형’(15.7%)으로 명명하였다. 나아가, 유형화된 집단별로 개인정보 제공의도를 결정하는 요인들을 분석한 결과 디지털 적극 활용형의 경우 개인정보 요청 서비스 이용 주저 경험, 특정화된 신뢰, 미디어 이용 경험 등이 개인정보 제공의도를 결정하는 주요 요인이었다. 이어서 디지털 생활 활용형의 경우 연령, 월평균 가구소득, 개인정보 요청 서비스 이용 주저 경험, 특정화된 신뢰 및 일반화된 신뢰, 미디어 이용 경험, 지능정보기술·서비스 이용 의도 등이, 디지털 소외형의 경우 최종 학력, 미디어 이용 경험, 지능정보기술·서비스 이용 의도 등이 주요 결정 요인이었다. 이러한 연구 결과를 토대로 본 연구는 다음과 같은 이론적, 정책적 함의를 도출하였다. 첫째, 이 연구는 지능정보사회를 영위하는 개인을 디지털 역량의 영역별 특성을 내재한 집단으로 유형화했다는 데 의의가 있다. 이러한 유형화는 방법론적 측면에서 집단 내 디지털 역량이 미흡한 영역을 명확하게 특정할 수 있을 뿐 아니라, 집단 간 디지털 격차를 유발하는 영역을 특정할 수 있는 장점을 제공하고 있다. 둘째, 본 연구는 디지털 활용 유형별로 개인정보 공개의 패턴과 특성을 식별하고 개인정보 공개의 이론적 모형을 구성할 수 있는 개인정보 공개 결정요인을 제시함으로써, 개인정보 연구 분야에 새로운 시각과 방법을 제안했다고 할 수 있다. 셋째, 이 연구 결과는 지능정보기술 및 서비스 활용과 개인정보 공개를 결정하는 심리적 기저에 프라이버시 역설이 자리잡고 있을 가능성을 실증적으로 뒷받침한다. 연구결과는 디지털 역량 수준과 무관하게 디지털 적극 활용형, 디지털 생활 활용형, 디지털 소외형 집단은 지능정보기술 및 서비스 이용의도와 개인정보 제공의도 간에 정적 관계를 유의미하게 형성하고 있음을 보여준다. 마지막으로 본 연구는 개인정보 관련 제도나 기업의 개인정보 가이드라인 수립 시, 지능정보사회 구성원의 디지털 역량 유형과 개인정보 제공 결정요인을 기반으로 개인정보 보호와 활용 간에 이상적 균형 파악의 필요성을 시사한다는 점에서 정책적, 실무적 측면에서도 중요한 의미를 갖는다.

Abstract

This study aimed to categorize individuals within the Intelligent Information Society based on their levels of digital competence using latent class analysis and to examine the factors that influence their willingness to voluntarily share private information when adopting intelligent information technologies and services. The research leveraged cross-sectional data from the 2022 Panel Survey of Users of the Intelligent Information Society, which was made available by the Korea Communications Commission. The latent class analysis revealed three distinct user types: 'Digital Active' (35.5%), 'Digital Life' (48.8%), and 'Digital Marginalized' (15.7%). Subsequently, the study delved into the factors that determined the intention of each user type to provide private information. For 'Digital Active' users, the primary determinants of private information-sharing were hesitancy to use private information request services, interpersonal trust, and media usage experience. 'Digital Life' users' willingness to share private information was influenced by factors such as age, average monthly household income, hesitancy to use private information request services, interpersonal and social trust, media usage experience, and the intention to use intelligent information technologies and services. In the case of 'Digital Marginalized' users, their private information sharing tendencies were mainly determined by factors such as education level, media usage experience, and the intention to use information and intelligent technologies and services. These research findings carry significant theoretical and policy implications. Firstly, they underscore the importance of categorizing individuals engaged in the Intelligent Information Society based on their digital competence across various domains. Such categorization not only enables the identification of areas where digital competence is lacking within specific groups but also provides valuable insights into areas contributing to the digital divide between these groups from a methodological perspective. Secondly, this research contributes to the identification of patterns and characteristics of private information disclosure across different types of digital usage. Furthermore, it proposes determinants of private information disclosure that can serve as a foundation for theoretical models in the field of private information research. Thirdly, the study suggests the potential existence of a privacy paradox at the psychological core of intelligent information technology and service utilization and private information disclosure. Regardless of their level of digital competence, the 'Digital Active,' 'Digital Life,' and 'Digital Marginalized' groups displayed significant relationships between their intention to use intelligent information technologies and services and their willingness to provide private information. In conclusion, this study highlights the importance of considering the diverse digital competencies of members of the Intelligent Information Society and understanding the determinants of private information provision when formulating regulations related to private information or company privacy guidelines. This consideration is critical for achieving a balance between private information protection and its effective utilization in both policy and practical contexts.

Keywords:

Digital Competence, Intelligent Information Technology, Private Information, Latent Class Analysis

키워드:

디지털 역량, 지능정보기술, 개인정보, 잠재집단분석

Acknowledgments

This study was based on the data from the 2022 Intelligent Information Society User Panel Survey conducted by the Korea Communications Commission and Korea Information Society Development Institute(이 논문은 방송통신위원회·정보통신정책연구원의 2022년 지능정보사회 이용자 패널조사 데이터를 분석하여 작성한 것임).

세심하고 통찰력 있는 심사로 논문의 질을 한층 끌어올려 주신, 익명의 심사위원 세 분께 진심으로 감사 말씀드립니다.

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