A Blessing and a Curse: Institutional Embeddedness of Longstanding MNE Subsidiaries in Emerging Markets
Bibliographic record
Abstract
Abstract This article examines the institutional strategies of multinational enterprises (MNEs) operating in an emerging market, drawing attention to how longstanding foreign subsidiaries proactively negotiate their involvement with socio‐political actors. We build on institutional logics to explain how MNE subsidiaries develop sustained political, cultural, and cognitive embeddedness. Using an inductive, interpretive study of four century‐old Dutch MNE subsidiaries with a colonial legacy in Indonesia, we examine these three dimensions of the institutional environment, finding that local employees embedded in both the MNE and the host country sets of logics ‒ rather than expatriate managers ‒ most effectively facilitated sustained institutional embeddedness. Our findings also suggest that embedding practices in host institutional contexts and developing structures that align with host institutional expectations provided a platform for the unfolding of institutional strategies by local employees. However, MNE subsidiaries face contrasting logics between home and host country institutions, placing significant strains on MNEs’ ability to enact change.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".