Earticle

초록

영어

This study sheds light on the source data quality in big data systems. Previous studies about big data success have called for future research and further examination of the quality factors and the importance of source data. This study extracted the quality factors of source data from the user’s viewpoint and empirically tested the effects of source data quality on the usefulness and utilization of big data analytics results. Based on the previous researches and focus group evaluation, four quality factors have been established such as accuracy, completeness, timeliness and consistency. After setting up 11 hypotheses on how the quality of the source data contributes to the usefulness, utilization, and ongoing use of the big data analytics results, e-mail survey was conducted at a level of independent department using big data in domestic firms. The results of the hypothetical review identified the characteristics and impact of the source data quality in the big data systems and drew some meaningful findings about big data characteristics.

목차

Abstract
 1. 연구 필요성 및 목적
 2. 관련 연구 동향
  2.1 원천 데이터 품질요소
  2.2 원천 데이터 품질의 중요성
  2.3 빅데이터 성공지표
 3. 연구 모형 및 가설
  3.1 연구 모형
  3.2 연구 가설
 4. 연구 방법
  4.1 연구 변수
  4.2 데이터 수집
  4.3 표본 기초 통계
 5. 통계 분석
  5.1 신뢰성 및 타당성 분석
  5.2 경로 분석 및 가설 검증
 6. 결론 및 제언
 References

키워드

저자

• 박소현 [ Sohyun Park | Invited Professor, Konkuk University ] Primary Author
• 이국희 [ Kukhie Lee | Professor, Dept. of Business Administration, Konkuk University ] Corresponding author
• 이아연 [ Ayeon Lee | Hanyang 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