Capability-Based Theories of Multinational Enterprise Growth
Bibliographic record
Abstract
Abstract In this chapter we argue that traditional approaches to modeling the growth of the multinational enterprise (MNE) that focus on costs and efficiencies are too narrow to adequately and comprehensively address the foundations of MNE growth trajectories. Today’s global realities and the changing view of the MNE require a more focused and explicit capability-based perspective. In particular, we posit that contemporary theories of the MNE require frameworks and explanations that should simultaneously account for the uncertainties that firms face in their external environment and the complexities of often competing internal, organizational alternatives. To develop our reasoning in support of capability-based thinking, we discuss the changing nature on the international business (IB) landscape, the evolving views on the nature of the MNE, and present the core building blocks of capability-based thinking in managing MNE growth. We conclude the chapter by offering some thoughts on how capability-based thinking could be applied in future scholarly efforts.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".