An assessment of the contingency theory of management information systems
Journal of Management Information Systems
Organization context and information systems success: a contingency approach
Journal of Management Information Systems
Exceptions and exception handling in computerized information processes
ACM Transactions on Information Systems (TOIS)
Task-technology fit and individual performance
MIS Quarterly
Computer related risks
Communications of the ACM
A product perspective on total data quality management
Communications of the ACM
Putting the enterprise into the enterprise system
Harvard Business Review
Enterprise resource planning: cultural fits and misfits: is ERP a universal solution?
Communications of the ACM
Power, politics, and MIS implementation
Communications of the ACM
Criticality of data quality as exemplified in two disasters
Information and Management
The critical success factors for ERP implementation: an organizational fit perspective
Information and Management
AIMQ: a methodology for information quality assessment
Information and Management
Modeling Completeness versus Consistency Tradeoffs in Information Decision Contexts
IEEE Transactions on Knowledge and Data Engineering
A taxonomy of players and activities across the ERP project life cycle
Information and Management
Information and Management
Understanding enterprise systems-enabled integration
European Journal of Information Systems - Special issue: Making enterprise systems work
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Knowing-Why About Data Processes and Data Quality
Journal of Management Information Systems
Crafting Rules: Context-Reflective Data Quality Problem Solving
Journal of Management Information Systems
Understanding the Economic Potential of Service-Oriented Architecture
Journal of Management Information Systems
Implementing Service-Oriented Architecture in Organizations
Journal of Management Information Systems
Information Technology as a Target and Shield in the Post 9/11 Environment
Information Resources Management Journal
Assessing the quality of large-scale data standards: A case of XBRL GAAP Taxonomy
Decision Support Systems
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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.