Data Quality Requirements of Collaborative Business Processes

Item Type Conference or Workshop Item (Paper)
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.

Authors Otto, Boris; Österle, Hubert & Falge, Clarissa
Editors Sprague, Ralph H.
Research Team CDQ, IWI2
Language English
Keywords Corporate Data Quality, Business Process Management, Collaboration
Subjects information management
HSG Classification not classified
Refereed Yes
Date 7 January 2012
Publisher IEEE
Place of Publication Piscataway, NJ
Page Range 4316-4325
Number of Pages 10
Title of Book Proceedings of the 45th Hawaii International Conference on System Sciences
Event Title 2012 45th Hawaii International Conference on System Science (HICSS 2014)
Event Location Maui, Hawaii USA
Event Dates 04.-07.01.2012
ISBN 978-0-7695-4525-7
Publisher DOI 10.1109/HICSS.2012.8
Depositing User Clarissa Falge
Date Deposited 25 Jan 2012 07:59
Last Modified 29 Mar 2017 14:30
URI: https://www.alexandria.unisg.ch/publications/214467

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Citation

Otto, Boris; Österle, Hubert & Falge, Clarissa: Data Quality Requirements of Collaborative Business Processes. 2012. - 2012 45th Hawaii International Conference on System Science (HICSS 2014). - Maui, Hawaii USA.

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https://www.alexandria.unisg.ch/id/eprint/214467
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