Journal of Information Technology Applications and Management

  • 제24권4호
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  • Pages.197-214
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  • 2017
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  • 1598-6284(pISSN)
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  • 2508-1209(eISSN)
한국데이터전략학회 (Korea Data Strategy Society)
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원천 데이터 품질이 빅데이터 분석결과의 유용성과 활용도에 미치는 영향

An Empirical Study on the Effects of Source Data Quality on the Usefulness and Utilization of Big Data Analytics Results

  • 투고 : 2017.11.01
  • 심사 : 2017.12.27
  • 발행 : 2017.12.31
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초록

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.

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