Host country nationals as socializing agents: a social identity approach
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A major challenge facing Multinational Enterprises (MNEs) is finding ways to increase the success rates of managers assigned overseas. Our paper draws upon social identity theory to develop a model that focuses on the role of host country nationals (HCNs) in determining the adjustment of expatriate managers. Specifically, our model proposes attributes of the expatriate and the HCN that can increase the salience of national identity and outgroup categorization of expatriates by the HCNs. We also suggest how outgroup categorization interacts with a number of situational factors to influence the role of HCNs as socializing agents for expatriate newcomers. Finally, we propose that the socializing behaviors HCNs may display or withhold from the expatriate will affect the adjustment of the expatriate. Our model highlights the often‐overlooked partners in the expatriate adjustment process and emphasizes the need for MNEs to be cognizant of the social dynamics between HCNs and expatriates in the host location. Copyright © 2007 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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