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An Empirical Analysis on the Effect of Data Quality on Economic Performance in the Financial Industry  

Lee, Sang-Ho (Department of IT Management, Sun Moon University and Kyung Hee University)
Park, Joo-Seok (School of Management, Kyung Hee University)
Kim, Jae-Kyeong (School of Management and Management Research Institute, Kyung Hee University)
Publication Information
Information Systems Review / v.13, no.1, 2011 , pp. 1-11 More about this Journal
Abstract
This study empirically investigated the effect of firm-level data quality on economic performance in the Korean financial industry during 2008~2009. The data quality was measured by data quality management process index and data quality criteria by Korea Database Agency, and financial firm performance data was acquired from Financial Statistics Information System of the Financial Supervisory Service. The result showed that the data quality has statistically significant impacts on financial firm performance such as sales, operating profit, and value added. If the data quality management process index increases by one, the value added can increase by 2.3 percent. Moreover, the data quality criteria increase by one, the value added can increase by 72.6 percent.
Keywords
Data Quality; Data Quality Criteria; Data Quality Management Process; Firm Performance; Financial Industry;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Redman, T. C., "Improve data quality for competitive advantage", Sloan Management Review, Vol.36, No.2, 1995, pp. 99-107.
2 Laudon, K. C. and J. P. Laudon, Management Information Systems: Managing the Digital Firm, 10th ed., Pearson Prentice Hall, Upper Saddle River, NJ, 2009.
3 Lee, S. and S. H. Kim, "A lag effect of IT investment on firm performance", Information Resources Management Journal, Vol.19, No.1, 2006, pp. 43-69.   DOI
4 Lee, S., J. Y. Xiang, and J. K Kim, "Information technology and productivity: Empirical evidence from the Chinese electronics industry", Information and Management, Vol.48, No.2-3, 2011, pp. 79-87.   DOI   ScienceOn
5 Petter, S. and E. R. McLean, "A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level", Information and Management, Vol.46, No.3, 2009, pp. 159-166.   DOI   ScienceOn
6 DeLone, W. H. and E. R. McLean, "The DeLone and McLean model of information systems success: A ten-year update", Journal of Management Information Systems, Vol.19, No.4, 2003, pp. 9-30.
7 DeHoratius, N. and A. Raman, "Inventory record inaccuracy: An empirical analysis", Management Science, Vol.54, No.4, 2008, pp. 627-641.   DOI   ScienceOn
8 Hair, J. Jr., R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis, 5th ed., Prentice-Hall lnternational, Upper Saddle River, NJ, 2005.
9 Kim, J. K, J. Y. Xiang, and S. Lee, "The impact of IT investment on firm performance in China: An empirical investigation of the Chinese electronics industry", Technological Forecasting and Social Change, Vol.76, No.5, 2009, pp. 678-687.   DOI   ScienceOn
10 허희정, 김종우, "데이터 품질 향상을 위한 데이터 관리 프로세스 개선 사례 연구: 데이터 표준과 요구사항 관리 중심으로", Information Systems Review, 제10권, 제1호, 2008, pp. 91-113.
11 DeLone, W. H. and E. R. McLean, "Information systems success: The quest for the dependent variable", Information System Research, Vol.3, No.1, 1992, pp. 60-95.   DOI
12 이창수, 김선영, "데이터 품질관리와 기업신용도 상관성 분석에 관한 탐색적 연구", 인터넷전자상거래연구, 제10권, 제1호, 2010, pp. 197-218.
13 이상호, J. Y. Xiang, 김재경, 중국과 한국 기업의 정보기술 투자와 기업 성과의 관계에 대한 실증 연구", Information Systems Review, 제11권, 제3호, 2009, pp. 1-21.
14 한국데이터베이스진흥센터, 데이터 품질관리 성숙 모형(Ver 1.0), 2006, http://www.dbq.or.kr/pds/pds_read.php?DBS_IDX = 123&page = l&field = &keyword = &DBM_IDX = 3.
15 한국은행, 계간국민계정, 2010, http://www.bok.or.kr/contents/totalfko/boardView. action?boardBean.sdt = &boardBean.edt = &boardBean.searchColumn = title&boardBean.search Value = &menuNaviId = 589&boardBean.menuid = 589&boardBean.brdid = 72378&boardBean.mum = 4&boardBean.cPage = 1.
16 금융감독원, 금융통계정보시스템, http://fisis.fss.or.kr/, 2010.
17 디지털타임스, [사설] 공공데이터 품질이 국가경쟁력 좌우한다, 2010, http://www.dt.co.kr/contents.html?article_no = 2010080302012351676001.