Title :
Data Quality Requirements of Collaborative Business Processes
Author :
Clarissa Falge;Boris Otto;Hubert Österle
Abstract :
High-quality data is not just a competitive factor for individual companies but also an enabler for collaboration in business networks. The paper takes a cross-company perspective on data quality and identifies requirements collaborative business processes pose to data quality. A qualitative content analysis on Business Networking case studies is conducted. The results show which combinations of data classes (e.g. order data, forecast data) and quality dimensions (e.g. business rule conformity) are crucial for the different collaborative business processes in business networks. The paper interprets the results and closes with a discussion of current data quality trends for collaborative processes.
Keywords :
"Encoding","Collaboration","Supply chains","Distributed databases","Reliability","Accuracy"
Conference_Titel :
System Science (HICSS), 2012 45th Hawaii International Conference on
Print_ISBN :
978-1-4577-1925-7
DOI :
10.1109/HICSS.2012.8