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    스마트 홈 카메라 이용자의 지속적 사용의도 결정요인 연구 : 지각된 위험의 조절효과를 중심으로 = A Study on the Determinants of Smart Home Camera Users' Continuous Usage Intention: The Moderating Role of Perceived Risk

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    https://www.riss.kr/link?id=T17573187

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The rapid development of smart home technology has accelerated the widespread adoption of smart home cameras, while simultaneously raising users’ concerns regarding privacy risks and security issues. This study aims to investigate the structural relationships among personalization, security, personal innovativeness, brand trust, perceived usefulness, perceived ease of use, perceived value, and continuous usage intention in the context of smart home cameras. In particular, perceived risk was established as a moderating variable to examine its influence on the relationship between perceived value and continuous usage intention.
    To verify the proposed research model, Structural Equation Modeling (SEM) based on SmartPLS was conducted using survey data collected from smart home camera users. The empirical results partially supported the proposed hypotheses and revealed several significant relationships among the variables. Specifically, security and brand trust were found to have significant positive effects on perceived usefulness, whereas personalization and personal innovativeness did not show statistically significant effects.In addition, none of the independent variables significantly influenced perceived ease of use. Perceived usefulness had a significant positive effect on perceived value, while perceived ease of use did not significantly affect perceived value. Furthermore, perceived value demonstrated a strong positive influence on continuous usage intention.
    The moderating effect analysis further indicated that perceived risk significantly weakened the positive relationship between perceived value and continuous usage intention. In other words, even when users perceived high value in smart home cameras, higher levels of perceived risk reduced their intention to continue using the service. These findings suggest that users’ evaluation of smart home cameras is influenced not only by functional and technological benefits but also by concerns regarding privacy and security risks.
    This study provides important theoretical implications by extending the Technology Acceptance Model (TAM) and privacy-related perspectives into the smart home camera context. Practically, the findings suggest that smart home device providers should strengthen security systems, reduce users’ perceived risks, and enhance perceived value in order to improve users’ continuous usage intention and long-term platform sustainability.
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    The rapid development of smart home technology has accelerated the widespread adoption of smart home cameras, while simultaneously raising users’ concerns regarding privacy risks and security issues. This study aims to investigate the structural rel...

    The rapid development of smart home technology has accelerated the widespread adoption of smart home cameras, while simultaneously raising users’ concerns regarding privacy risks and security issues. This study aims to investigate the structural relationships among personalization, security, personal innovativeness, brand trust, perceived usefulness, perceived ease of use, perceived value, and continuous usage intention in the context of smart home cameras. In particular, perceived risk was established as a moderating variable to examine its influence on the relationship between perceived value and continuous usage intention.
    To verify the proposed research model, Structural Equation Modeling (SEM) based on SmartPLS was conducted using survey data collected from smart home camera users. The empirical results partially supported the proposed hypotheses and revealed several significant relationships among the variables. Specifically, security and brand trust were found to have significant positive effects on perceived usefulness, whereas personalization and personal innovativeness did not show statistically significant effects.In addition, none of the independent variables significantly influenced perceived ease of use. Perceived usefulness had a significant positive effect on perceived value, while perceived ease of use did not significantly affect perceived value. Furthermore, perceived value demonstrated a strong positive influence on continuous usage intention.
    The moderating effect analysis further indicated that perceived risk significantly weakened the positive relationship between perceived value and continuous usage intention. In other words, even when users perceived high value in smart home cameras, higher levels of perceived risk reduced their intention to continue using the service. These findings suggest that users’ evaluation of smart home cameras is influenced not only by functional and technological benefits but also by concerns regarding privacy and security risks.
    This study provides important theoretical implications by extending the Technology Acceptance Model (TAM) and privacy-related perspectives into the smart home camera context. Practically, the findings suggest that smart home device providers should strengthen security systems, reduce users’ perceived risks, and enhance perceived value in order to improve users’ continuous usage intention and long-term platform sustainability.

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    목차 (Table of Contents)

    • 제 1 장 서론 1
    • 제1절. 연구 배경 1
    • 제 2 장 이론적 배경 3
    • 제1절. 중국 시장에서의 스마트 홈 카메라 현황 3
    • 제2절. 기술 수용 이론 4
    • 제 1 장 서론 1
    • 제1절. 연구 배경 1
    • 제 2 장 이론적 배경 3
    • 제1절. 중국 시장에서의 스마트 홈 카메라 현황 3
    • 제2절. 기술 수용 이론 4
    • 제3절. 지각된 위험 이론 6
    • 제4절. 프라이버시 계산 모델 7
    • 제5절. 스마트 홈 서비스 특성 8
    • 2.5.1 서비스 특성 8
    • 2.5.2 개인화 9
    • 2.5.3 보안성 10
    • 제6절. 스마트 홈 이용자 특성 11
    • 2.6.1 이용자 특성 11
    • 2.6.2 브랜드 신뢰 13
    • 2.6.3 개인 혁신성 14
    • 제7절. 지각된 유용성, 지각된 용이성, 지각된 가치 15
    • 2.7.1 지각된 유용성 15
    • 2.7.2 지각된 용이성 15
    • 2.7.3 지각된 가치 16
    • 제8절. 지각된 위험 17
    • 제9절. 지속적 사용의도 17
    • 제 3 장 연구의 방법 19
    • 제1절. 연구 가설 19
    • 3.1.1 개인화와 지각된 유용성, 지각된 용이성 간의 관계 19
    • 3.1.2 보안성과지각된 유용성, 지각된 용이성 간의 관계 20
    • 3.1.3 브랜드 신뢰와 지각된 유용성, 지각된 용이성 간의 관계 21
    • 3.1.4 개인 혁신성과 지각된 유용성, 지각된 용이성 간의 관계 22
    • 3.1.5 지각된 유용성, 지각된 용이성과 지각된 가치 간의 관계 23
    • 3.1.6 지각된 가치와 지속적 사용의도 간의 관계 23
    • 3.1.7 지각된 위험의 조절 효과 24
    • 제2절. 연구 모형 26
    • 제3절. 변수의 조작적 정의 및 측정 27
    • 3.3.1 변수의 조작적 정의 27
    • 3.3.2 측정 항목 29
    • 제 4 장 연구 결과 33
    • 제1절. 자료 수집 방법과 표본의 구성 33
    • 4.1.1 자료 수집 방법 33
    • 4.1.2 인구 통계학적 분석 33
    • 제2절. 자료 분석 방법과 변인의 분석 결과 36
    • 4.2.1 자료 분석 방법 36
    • 4.2.2 연구모형의 평가 36
    • 4.2.3 내적일관성 신뢰도 평가 결과 37
    • 4.2.4 집중 타당도 검증 38
    • 4.2.5 판별타당도 검증 40
    • 4.2.6 HTMT 분석 41
    • 4.2.7 구조모형 평가 42
    • 제3절. 가설 검증 44
    • 4.3.1 경로분석 결과 44
    • 4.3.2 조절효과 분석 46
    • 4.3.3 가설검증 결과 47
    • 제4절. 가설검증 결과 요약 48
    • 제5절. 논의 50
    • 제 5 장 결론 53
    • 제1절. 연구의 결과 요약 53
    • 제2절. 연구의 시사점 54
    • 5.2.1 이론적 시사점 54
    • 5.2.2 실무적 시사점 56
    • 제3절. 연구의 한계점 및 향후 연구 방향 57
    • 참고문헌 60
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