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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The University of Ma...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Technovation
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The impact of the Internet on R&D efficiency: theory and evidence

theory and evidence
Authors: Kafouros, Mario I.; id_orcid 0000-0002-6438-3990;

The impact of the Internet on R&D efficiency: theory and evidence

Abstract

Particularly for the manufacturing sector, the efficiency of the R&D-process defines to a great extent a firm's competitiveness. Although there are many studies which present practical examples of how firms utilize the Internet to support their everyday research activities, there is not much theory to explain how and why the Internet improves R&D efficiency. This paper attempts to fill this void by exploring the association between the Internet and R&D efficiency. Initially, in order to provide a better unit of analysis, it adopts a feature-based approach to the Internet. Then it offers a conceptual framework which by using theoretical explanations, past empirical research and examples from practice explains how and why two features of the Internet (‘search’ and ‘communication’) improve three critical dimensions of R&D efficiency (cost, time and quality) and a firm's absorptive capacity. Finally, by using the Cobb-Douglas framework, it provides econometric evidence which indicates that the Internet does improve R&D efficiency. Besides the contribution to scholarly knowledge, there are important implications in practice, since the findings of this paper inform decision and policy makers that the Internet has a significant impact on firms' innovative capacity.

Country
United Kingdom
Related Organizations
Keywords

Internet, R&D efficiency, research and development

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    selected citations
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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).
    79
    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.
    Top 1%
    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
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!
79
Top 1%
Top 10%
Top 10%
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