It takes two to tango: Knowledge transfer between expatriates and host country nationals
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Integrating conservation of resource (COR) theory and the theory of relational organizing, we conceptualize expatriate–host country national (HCN) knowledge transfer as resource gains between the sender and receiver. Based on a sample of 107 expatriate–HCN dyads, we found that when the knowledge receiver, be it an expatriate or HCN, is high on cultural intelligence (CQ), the sender will be more likely to perceive higher levels of trust in the receiver and shared vision with the receiver. These cognitive responses to the receiver's CQ are instrumental in facilitating the receiver's knowledge acquisition. We also identified the sender's perceptions of the collaborative‐based HR configuration as a contextual condition that strengthens the relationship between the knowledge receiver's CQ and the sender's perceived trust in the receiver and shared vision with the receiver.
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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 | 0.001 | 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 | 0.001 | 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) | 0.001 | 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