Learning by exporting: A system-based review and research agenda

Abstract

Over the past four decades, flourishing empirical research has attempted to establish the mechanisms and conditions underpinning improvements in exporters’ innovation and productivity via the learning-by-exporting (LBE) effect, and the domain has gained legitimacy and empirical credibility. However, the literature's findings are largely fragmented and require systematic review and analysis to draw definitive conclusions on the factors that influence the subsequent realization of learning from exporting. To fill this void, we critically examine the extant LBE research for the period 1984–2021. We systematically review 167 articles to develop a system-based taxonomy and conceptual model of LBE, which comprises five major components: system outputs (productivity and innovation), inputs (e.g., institutional factors and resources), firm-level capabilities (e.g., absorptive capacity and innovation persistence), managerial characteristics (e.g., entrepreneurship skills) and internationalization strategies. In doing so, we uncover paradoxical tensions within the system brought about by the conflicting roles of some components of the LBE system, such as firm-, industry- and country-level technological capabilities. Our review also reveals research gaps that open relevant opportunities for further research and conclusions that hold novel implications for managers and policymakers.