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SSRN Electronic Journal
Article . 2009 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2009
Data sources: EconStor
EconStor
Conference object . 2010
Data sources: EconStor
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Enterprise Systems and Innovations

Authors: Engelstätter, Benjamin;

Enterprise Systems and Innovations

Abstract

This paper analyzes the relationship between the three main enterprise systems (Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM)) and firms’ innovational performance. It studies whether the enterprise systems have impacts on process as well as product innovations. Using German firm-level data, the results show that ERP and SCM systems foster the firms’ likelihood to generate process innovations. In addition, ERP systems also show a positive impact on process innovation intensity. These results do not only emerge for the short-run of two years or less but remain also stable in the long-run of two to four years. Concerning product innovational performance only, CRM systems increase the firms’ likelihood to acquire product innovations, although the impact only emerges for the short-run and vanishes if the long-run perspective is taken into account.

Country
Germany
Keywords

Betriebliches Informationssystem, 330, M20, Innovation,Product Innovation,Process Innovation,Enterprise Systems,Selectivity,Enterprise Resource Planning,Supply Chain Management,Customer Relationship Management, Process Innovation, Selectivity, Innovation, Deutschland, Product Innovation, O31, O32, ddc:330, Komplementärgut, Marketing-Informationssystem, L10, Supply Chain Management, Customer Relationship Management, Computergestütztes Verfahren, Enterprise Systems, Enterprise-Resource-Planning, Enterprise Resource Planning, jel: jel:M20, jel: jel:O31, jel: jel:L10

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    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).
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
1
Average
Average
Average
Green
bronze