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Author Cao, Lan ♦ Zhu, Hongwei
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Data quality ♦ ERP ♦ Complexity ♦ Enterprise resource planning ♦ Normal accident ♦ Tight coupling
Abstract The efficient operation of Enterprise Resource Planning (ERP) systems largely depends on data quality. ERP can improve data quality and information sharing within an organization. It can also pose challenges to data quality. While it is well known that data quality is important in ERP systems, most existing research has focused on identifying the factors affecting the implementation and the business values of ERP. With normal accident theory as a theoretical lens, we examine data quality problems in ERP using a case study of a large, fast-growing multinational manufacturer headquartered in China. Our findings show that organizations that have successfully implemented ERP can still experience certain data quality problems. We identify major data quality problems in data production, storage and maintenance, and utilization processes. We also analyze the causes of these data quality problems by linking them to certain characteristics of ERP systems within an organizational context. Our analysis shows that problems resulting from the tight coupling effects and the complexity of ERP-enabled manufacturing systems can be inevitable. This study will help researchers and practitioners formulate data management strategies that are effective in the presence of certain “normal” data quality problems.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-05-01
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 4
Issue Number 3
Page Count 26
Starting Page 1
Ending Page 26

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Source: ACM Digital Library