Earticle

초록

영어

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

목차

Abstract
1. 서론
2. 이론적 배경
2.1 개인정보 제공과 보호동기 이론(Protection Motivation Theory)
2.2 개인적 특성에 대한 연구
2.3 내재적 촉진 요인과 외재적 촉진 요인
2.4 서비스 품질 요인
2.5 개인정보 제공 의도
3. 연구 모형 및 가설
4. 실증 분석 및 연구 결과
4.1 기초 통계량 분석
4.2 가설 검증
5. 결론
References

키워드

저자

• 정승민 [ Seungmin Jung | Assistant Professor, Industrial Business Administration, Inha University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 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