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Contribution to Book
Data Quality Requirements of Collaborative Business Processes
45th Hawaii International Conference on System Sciences (HICSS-45) (2012)
  • Clarissa Falge
  • Boris Otto
  • Hubert Oesterle
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
  • Corporate Data Quality,
  • Business Process Management,
  • Collaboration
Publication Date
January 1, 2012
Editor
Ralph H. Sprague
Publisher
IEEE Computer Society
Citation Information
Clarissa Falge, Boris Otto and Hubert Oesterle. "Data Quality Requirements of Collaborative Business Processes" Los Alamitos45th Hawaii International Conference on System Sciences (HICSS-45) (2012)
Available at: http://works.bepress.com/boris_otto1/13/