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SSRN Electronic Journal
Article . 2004 . Peer-reviewed
Data sources: Crossref
International Journal of the Economics of Business
Article . 2006 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2004
Data sources: EconStor
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B2b or Not to Be: Does B2b E-Commerce Increase Labour Productivity?

Authors: Bertschek, Irene; Fryges, Helmut; Kaiser, Ulrich;

B2b or Not to Be: Does B2b E-Commerce Increase Labour Productivity?

Abstract

We implement an endogeneous switching-regression model for labour productivity and firms' decision to use business-to-business (B2B) e-commerce. Our approach allows B2B usage to affect any parameter of the labour productivity equation and to properly take account of strategic complementarities between the input factors and B2B usage. Empirical evidence from 1,394 German firms shows that firms using B2B e-commerce have a significantly higher output elasticity with respect to ICT-investment and produce significantly more efficiently than firms that do not use B2B. Firms' labour productivity is enhanced by using B2B.

Countries
Denmark, Germany
Keywords

330, Business-to-business e-commerce, ddc:330, Business-to-business e-commerce,labour productivity,endogenous switching regression model,survey data, Lieferanten-Kunden-Beziehung, labour productivity, Arbeitsproduktivität, survey data, Innovationswettbewerb, D24, E-Business, Deutschland, C21, endogenous switching regression model, Schätzung, jel: jel:C21, jel: jel:D24

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    32
    popularity
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    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
32
Top 10%
Top 10%
Average
Green
bronze