Expatriate management “best practices” in Canadian MNCs: a multiple case study
Bibliographic record
Abstract
Provides an in‐depth description of the expatriate management practices of four Canadian multinationals in order to determine how closely Canadian practices correspond to the “best practices” described in the international HRM (IHRM) literature. Toward that end, reviews the IHRM literature. A qualitative study design was employed, in the form of a holistic multiple case study with four Canadian MNCs. Results indicated that, contrary to trends noted in the literature, the Canadian firms studied do not neglect expatriate management practices, although they do not fully implement such practices either – at least not to the extent advocated in the literature. The key explanation put forth is the lack of any systematic evaluation of these practices, which might have enabled shortcomings to be more readily recognized. The other key finding was that the participating firms relied extensively on expatriates to be proactive in managing various aspects of their own careers. Discusses implications.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".