Strategic Configurations and International Performance of Emerging Economy Multinationals
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT This study examines the international performance of emerging economy multinational enterprises (EMNEs) from a strategic configuration perspective. We propose that the strategic patterns of EMNEs that deliver growth and/or profitability are characterized by different configurations of environment, strategy, and managerial resource factors. Therefore, identifying and assessing strategic configurations is key to understanding EMNEs’ international performance. Employing fuzzy-set qualitative comparative analysis, we analyze a multi-sourced dataset of Chinese firms’ outward investment and identify multiple equifinal strategic configurations that are associated with superior international performance in terms of sales growth and/or profitability. These findings inform the development of a taxonomy of EMNEs’ strategic configurations corresponding with three performance groups, namely profitable growth, profitable niche, and poor performers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it