Information systems innovation among organizations
Management Science
ACL: a language specific for auditors
Communications of the ACM
A review of web-based product data management systems
Computers in Industry
Auditing Information Systems
Integrated Auditing of Erp Systems
Integrated Auditing of Erp Systems
Database audit and control strategies
Information Technology and Management
Auditing Information Systems
Information Technology Control and Audit, Second Edition
Information Technology Control and Audit, Second Edition
Journal of Management Information Systems
PRoduct ONTOlogy: Defining product-related concepts for logistics planning activities
Computers in Industry
International Journal of Computer Integrated Manufacturing
Accounting best practices, fifth edition
Accounting best practices, fifth edition
UML based specifications of PDM product structure and workflow
Computers in Industry
PDM system implementation based on UML
Mathematics and Computers in Simulation
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To avoid fraud behavior and ensure product data quality throughout the stages of product lifecycle management, the demand for the computer audit is increasing in the engineering and manufacturing industries. Enterprises have paid much attention to the implementation of product data management/product lifecycle management (PDM/PLM) systems in which computer audit mechanism is the critical function concerning the final success of PLM. However, the PDM/PLM systems nowadays usually lack of superior mechanism to audit the information quality of product data (PD) and its impact on product design, manufacture, service, and disposal. The purpose of this study is to find out a set of decisive auditing points and rules necessary for the PDM/PLM systems, which may be a reference basis for firms to audit quality of PD throughout the product lifecycle. Additionally, a case company was chosen to implement the proposed audit points and rules for verifying the research findings, examining the benefits deriving from the new audit system implemented, and providing valuable suggestions for firms to improve PD quality and effectiveness of PLM.