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Journal of Business Research
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Export status and SME productivity: Learning-to-export versus learning-by-exporting

Authors: Areti Gkypali; James H. Love; James H. Love; Stephen Roper;

Export status and SME productivity: Learning-to-export versus learning-by-exporting

Abstract

We examine the strategic (pre-) exporting choices of UK micro, small and medium enterprises (SMEs) and their links to productivity. This involves considering not only exporters and non-exporters, but also an intermediate category of export-capable firms. Such categorisations help to identify learning effects occurring in the pre- and post-export phases. Indeed, we find evidence of both learning-to-export and learning-by-exporting effects among SMEs, and that firms consciously select their export status based on current productivity performance. Innovation plays a key role, and its effect does not occur exclusively in the transition to exporting, but also in building up export capability. Product and process innovation have different effects on export capability and exporting, respectively. The effect of product innovation on productivity is negative at least in the short-term. Growth ambition and planned future innovation are key determinants of both export capability and exporting.\ud \ud

Keywords

HD, HF

  • BIP!
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    citations
    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).
    53
    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
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
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!
53
Top 1%
Top 10%
Top 1%
Green