• DocumentCode
    3645809
  • Title

    Data Quality Requirements of Collaborative Business Processes

  • Author

    Clarissa Falge;Boris Otto;Hubert Österle

  • fYear
    2012
  • Firstpage
    4316
  • Lastpage
    4325
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    System Science (HICSS), 2012 45th Hawaii International Conference on
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4577-1925-7
  • Type

    conf

  • DOI
    10.1109/HICSS.2012.8
  • Filename
    6149420