Hubert Österle

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ion: Each artifact must be applicable to a class of problems. Originality: Each artifact must substantially contribute to the advancement of the body of knowledge. Justification: Each artifact must be justified in a comprehensible manner and must allow for its validation. Benefit: Each artifact must yield benefit – either immediately or in the future – for(More)
Enterprizes need Data Quality Management (DQM) to respond to strategic and operational challenges demanding high-quality corporate data. Hitherto, companies have mostly assigned accountabilities for DQM to Information Technology (IT) departments. They have thereby neglected the organizational issues critical to successful DQM. With data governance, however,(More)
Rapid Implementation of Enterprise Resource Planning Systems Elgar Fleisch , Hubert Oesterle & Stephen Powell To cite this article: Elgar Fleisch , Hubert Oesterle & Stephen Powell (2004) Rapid Implementation of Enterprise Resource Planning Systems, Journal of Organizational Computing and Electronic Commerce, 14:2, 107-126, DOI: 10.1207/s15327744joce1402_02(More)
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.(More)
The quality of master data has become an issue of increasing prominence in companies. One reason for that is the growing number of regulatory and legal provisions companies need to comply with. Another reason is the growing importance of information systems supporting decision-making, requiring master data that is up-to-date, accurate and complete. While(More)