THE CHINESE FAMILY FIRM AS A MULTINATIONAL ENTERPRISE
Bibliographic record
Abstract
Much of the extant literature on the Chinese Family Firm highlights the unique cultural heritage and social context in which they are embedded as primary determinants of their strategic behavior. In contrast, few studies have examined the strategic behavior of Chinese Family Firms from an economic perspective. In this paper, we address this gap in the literature by applying Dunning's eclectic theory of the MNE to the Chinese Family Firm. In doing so, we generate a series of testable propositions. We suggest that although the strategic behavior of Chinese Family Firms will differ significantly from those of classic Western MNEs, they are nonetheless amenable to interpretation according to Dunning's analytical constructs of ownership (O), internalization (I) and locational (L) advantages. More specifically, we find that like the classic Western MNE, the Chinese Family Firm can be understood as a viable mechanism for capitalizing on particular configurations of OLI advantages in international markets.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 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".