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All Journal Journal of Economics, Business, & Accountancy Ventura
Sari, Tria Mei Dian
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Economics, Econometrics & Finance

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Enhancing SME Export Performance in Indonesia: The Role of Learning Orientation and Pro-expansion Network Quality Sari, Tria Mei Dian; Ferdinand, Augusty Tae; Indriani, Farida
Journal of Economics, Business, and Accountancy Ventura Vol. 28 No. 1 (2025): April-July 2025
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav,28(1)2025,4836

Abstract

This study explores the mediating role of pro-expansion network quality on the relationship between learning orientation and export performance, the moderating impact of competitive intensity on the association between pro-expansion network quality and export performance, and the effect of international market selection on export performance. This research employed a deductive approach, grounded in the Resource-Advantage Theory, and a quantitative research design. Empirical model testing was conducted on SME exporters in Central Java and Yogyakarta, Indonesia, using SEM AMOS. The findings reveal that all the direct relationships exert positive effects. In addition, this study addresses the research gap by demonstrating that pro-expansion network quality is a significant mediator. However, there is no moderating role of competitive intensity. Proexpansion network quality positively correlates with export performance, regardless of the level of competition. Practically, these results highlight the importance of SMEs in investing in continuous learning, building pro-expansion network quality, and carefully deciding the international market selection to improve export performance. Limitations include the emphasis on a singular strategic orientation, mediator and moderator variables, a particular geographic region, and firm size, and the use of a cross-sectional data design. Future research should explore other strategic orientations, mediators, moderators, and more diverse samples while employing longitudinal methods.
Co-Authors Augusty Tae Ferdinand Farida Indriani