Manara - Qatar Research Repository
Browse
10.1016_j.irfa.2023.102681.pdf (630.25 kB)

SME internationalisation: Do the types of innovation matter?

Download (630.25 kB)
journal contribution
submitted on 2024-01-29, 07:35 and posted on 2024-01-29, 07:36 authored by Boumediene Ramdani, Fateh Belaid, Stephane Goutte

Existing evidence suggest that innovative Small and Medium-sized Enterprises (or SMEs) are more likely to internationalise (i.e. have a greater propensity to export) than non-innovative SMEs. However, it is not yet clear whether and to what extent different types of innovation (i.e. product, service, and process) affect SME internationalisation. To address this issue, this study uses a research model that integrates the resource and institutional perspectives and empirically test it using data from the United Kingdom (UK) Longitudinal Small Business Survey. Our results confirm that SME internationalisation is more likely to occur in firms undertaking product innovation than process and/or service innovation, and a specific configuration of resource and institutional drivers influence SME internationalisation depending on the innovation type. These results lead to major policy and managerial implications in relation to promoting SME internationalisation through different types of innovation, given the UK withdrawal from the European Union.

Other Information

Published in: International Review of Financial Analysis
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.irfa.2023.102681

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • College of Business and Economics - QU

Usage metrics

    Qatar University

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC