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https://doi.org/10.4...arrow_drop_down
https://doi.org/10.4018/978159...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2007 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
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Federated Enterprise Resource Planning Systems

Authors: Nico Brehm; Daniel Lübke; Jorge Marx Gómez;

Federated Enterprise Resource Planning Systems

Abstract

Enterprise resource planning (ERP) systems consist of many software components, which provide specific functionality. As ERP systems become more complex, the financial expenditures that are associated with the application of such systems dramatically increase. Furthermore, ERP system development of nowadays is product-oriented and coordinated by only one instance at any one time. Consequently, each product has a separate data model, which is the basis for the integration of various types of business applications. Based on this fact, the selection of the covered functional enterprise sectors as well as the implemented functions is controlled by the respective vendor, too. Thus, enhancements and modifications of the standard software product are incumbent upon the software vendors. A cross-vendor standardization of data models for ERP systems and the establishment of unified architectural model, however, would change this situation. The new idea is to develop a novel ERP system architecture, which facilitates an overall reusability of individual business components (BC) through a shared and non-monolithic architecture based on Web services. The presented approach uses Web services to wrap up ERP components that are provided within a distributed system, which appears as an ERP community and serves as a vendor-independent platform.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Top 10%
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