The importance of high data quality and the need to consider data quality in the context of business processes are well acknowledged. Process modeling is mandatory for process-driven data quality management, which seeks to improve and sustain data quality by redesigning processes that create or...

Purpose – The purpose of this paper is to facilitate understanding of enterprise resource planning (ERP) system and data quality interdependency by presenting ERP systems’ use within data quality management. Design/methodology/approach – The authors apply task technology fit (TTF) in an...

Data quality management (DQM) gains importance due to the increasing amount and diversity of data as well as data's critical impact on organizational success. Enterprise resource planning (ERP) systems, which are used in most manufacturing and service organizations, provide a platform for data...

The successful implementation of enterprise resource planning (ERP) systems enables organizations to enhance their efficiency and maintain competitive capability through cross-functional integration across operational activities. Nevertheless, implementation of ERP systems is a risky endeavor...