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Unveiling the evolution of early internationalisation research: a bibliometric-systematic literature review

Gentjan Ulaj & Mahmut Hızıroğlu

International Journal of Globalisation and Small Business2025https://doi.org/10.1504/ijgsb.2025.10072937article
AJG 1
Weight
0.50

What the paper says

Early internationalisation (EI) has expanded considerably over the past three decades, yet its conceptual development and fragmentation remain insufficiently addressed. This study fills that gap by conducting a bibliometric-systematic literature review (B-SLR) of EI research from 1993 to 2023, drawing on Scopus data. Using performance analysis and co-word analysis, we examine key contributors and track thematic shifts across three decades of scholarship. Our findings reveal a shift from identifying the phenomenon to exploring its drivers, processes, and post-entry outcomes. Despite this progress, conceptual fragmentation persists. To support future research, we propose key questions across emerging areas such as decision-making, digitalisation, internationalisation speed, strategic capabilities, and institutional contexts.

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https://doi.org/https://doi.org/10.1504/ijgsb.2025.10072937

Or copy a formatted citation

@article{gentjan2025,
  title        = {{Unveiling the evolution of early internationalisation research: a bibliometric-systematic literature review}},
  author       = {Gentjan Ulaj & Mahmut Hızıroğlu},
  journal      = {International Journal of Globalisation and Small Business},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijgsb.2025.10072937},
}

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Unveiling the evolution of early internationalisation research: a bibliometric-systematic literature review

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.