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Linking ERP and SCM systems

Authors: J. Michael Tarn; Muhammad A. Razi; David C. Yen; Zhuojun Xu;

Linking ERP and SCM systems

Abstract

Enterprise Resource Planning (ERP) and Supply chain management (SCM) systems have been growing in popularity across various segments of the electronic industry over the past few years. New initiatives in resources planning, electronic commerce and extended supply chain are fuelling the trend among corporations toward integrating strategic business applications. ERP systems assist enterprises in automating and integrating corporate cross-functions. SCM systems support information flow from various players in the supply side, reducing transaction cost and facilitating supplier-customer interactions. Given the popularity and importance of ERP and SCM systems, this research aims to examine and compare these two systems from the standpoint of organisational and technological implementation and explores the trend and opportunity of their system integration. Furthermore, the authors present and analyse two potential approaches to linking ERP and SCM systems, which indeed promote their integration. This article is concluded with the challenges and implications of the ERP and SCM system integration.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
10
Average
Top 10%
Average
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