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SMEs’ export propensity in North Africa: a fuzzy c-means cluster analysis

Mohamed Yacine Haddoud (University of Plymouth, Plymouth, UK)
Malcolm J. Beynon (Cardiff University, Cardiff, UK)
Paul Jones (International Centre for Transformational Entrepreneurship, Coventry University, Coventry, UK)
Robert Newbery (Business School, Newcastle University, Newcastle, UK)

Journal of Small Business and Enterprise Development

ISSN: 1462-6004

Article publication date: 1 August 2017

Issue publication date: 2 October 2018

Abstract

Purpose

The purpose of this paper is to analyse the determinants of small and medium-sized enterprises’ (SMEs) propensity to export using data from a North African country, namely Algeria. Drawing on the extended resource-based view, the study examines the role of firms’ resources and capabilities in explaining the probability to export.

Design/methodology/approach

The study employs the nascent fuzzy c-means clustering technique to analyse a sample of 208 Algerian SMEs. The sample included both established and potential exporters operating across various sectors. A combination of online and face-to-face methods was used to collect the data.

Findings

While a preliminary analysis established the existence of five clusters exhibiting different levels of resources and capabilities, further discernment of these clusters has shown significant variances in relation to export propensity. In short, clusters exhibiting combinations that include higher levels of export-oriented managerial resources showed greater export propensity, whereas clusters lacking such assets were less likely to display high export propensity, despite superior capabilities in marketing and innovation.

Practical implications

The findings provide a more comprehensive insight on the critical resources shaping SMEs’ internationalisation in the North African context. The paper holds important implications for export promotion policy in this area.

Originality/value

The study makes a twofold contribution. First, the use of the fuzzy c-means clustering technique to capture the joint influence of discrete resources and capabilities on SMEs’ export propensity constitutes a methodological contribution. Second, being the first study bringing evidence on SMEs’ internationalisation from the largest country in the African continent, in terms of landmass, constitutes an important contextual contribution.

Keywords

Citation

Haddoud, M.Y., Beynon, M.J., Jones, P. and Newbery, R. (2018), "SMEs’ export propensity in North Africa: a fuzzy c-means cluster analysis", Journal of Small Business and Enterprise Development, Vol. 25 No. 5, pp. 769-790. https://doi.org/10.1108/JSBED-02-2017-0077

Publisher

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Emerald Publishing Limited

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