Abstract
The possibility that small and medium-sized enterprises (SMEs) mix and match prediction and non-prediction while making decisions during internationalization remains a highly unaddressed scenario. The rare studies considering it do not go beyond domestic effects when contextualizing the decisions that guide SMEs’ foreign expansion. This study links SMEs’ decision-making strategies to performance and suggests that such a relationship is moderated by the host market’s institutional development and the associated institutional voids. The analysis combines primary survey data from 851 SMEs in Brazil, China, Italy, Poland, and Sweden with secondary data retrieved from the World Bank. Besides supporting both independent and synergistic performance effects of predictive and non-predictive strategies, the results indicate that foreign market institutions affect these effects differently and suggest firm size effects worth consideration. Contributions include the expansion of the debate on the relationship between prediction and non-prediction beyond the either-or reasoning that prevails in existing research and the contextualization of SMEs’ decision-making strategies in terms of the institutional dynamics that SMEs encounter abroad.
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Appendix
Appendix
We tested the operationalization of foreign institutional development (FID) with measurements derived from the Global Competitiveness Report (GCR) and the Economic Freedom Index (EFI), replacing the World Governance Indicators (WGI). Like with the WGI data, we elaborated the alternative measures by retrieving data from the alternative sources for each firm’s major host market in the year of survey application. After that, we implemented the regression analysis using the alternative measures and obtained the results displayed in Table A1 below.
The alternative models confirm hypotheses H1-H3 like in the original model. They do not show significant results for H4 and H5, which are significant in our main analysis. However, it is important to highlight that the coefficient for the effect of FID loses significance in the regression with GCR and EFI data (p = 0.657 and 0.289, respectively) in relation to the original model (p = 0.088). This result goes in line with the idea that GCR, EFI, and WGI data are not perfect substitutes for each other (Beugelsdijk et al., 2018; Kostova et al., 2020). In this vein, it would be reasonable to expect that a regression where FDI is operationalized using GCR and EFI data would not reproduce the same significance levels that are found for FDI’s independent and interaction effects when WGI data is employed. Despite all of that, the independent effect and interactions of FDI retain the sign that they have in the original analysis. We see this as a suggestion that the dynamic evaluated in H4 and H5 in fact goes in the hypothesized direction and, therefore, the alternative regressions can be seen as suggestive of confirmation of the original results.
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Johanson, M., Oliveira, L. The Performance of Decision-Making Strategies in SME Internationalization: The Role of Host Market’s Institutional Development. Manag Int Rev 64, 303–335 (2024). https://doi.org/10.1007/s11575-024-00534-8
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DOI: https://doi.org/10.1007/s11575-024-00534-8