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Part of book or chapter of book . 2012 . Peer-reviewed
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Meta-model for Data Harmonization and Business Process Compliance in Service Procurement

Authors: Maik Herfurth; Thomas Schuster 0001; Peter Weiß;

Meta-model for Data Harmonization and Business Process Compliance in Service Procurement

Abstract

Diminished transaction costs, increased transparency and shortened procurement times entail increased importance of service e-procurement compared to traditional service procurement. Due to proprietary data exchange formats and individual business processes, data harmonization and business process compliance are shortcoming. In this paper a meta-model to formulate requirements of service procurement collaborations with a combined view on information and control flow is presented. Our focus is on two constituent elements of the model: collaborative business processes and service objects. Both elements define features which are characteristic for investigated value constellations. Challenge at hand is to implement standardized interfaces easing seamless exchange of information between business partners. Existing procurement systems need enhanced process-awareness and compliance with service-dominant-logic. The meta-model also serves as reference framework which identifies and correlates typical entities of service procurement collaborations. Furthermore a domain specific meta-model extension for industrial service procurement is derived. This extension serves as basis for data harmonization of service procurement data and enacts compliance of business processes in industrial service procurement collaborations.

Keywords

service procurement, Collaborative business processes, reference-modeling, business process compliance, [INFO] Computer Science [cs], data harmonization, meta-modeling

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
Green
bronze