Expatriate’s protean career orientation and cross-cultural adjustment: the mediating role of career adaptability
Bibliographic record
Abstract
Purpose IHRM identifies career adaptability and cross-cultural adjustment as the central tenants for expatriate career. The present study focuses on; (1) it employs the theoretical framework of career construction theory (CCT) to examine the relationship between adaptive readiness, resources and responses by examining the relationship between protean career orientation, career adaptability and cross-cultural adjustment of self-initiated expatriates (SIE) and (2) it explores the moderating role of frequency of interaction that SIEs possess with HCN. Design/methodology/approach A total of 278 Indian SIEs engaged in different occupational roles in different sectors, working in six different countries, i.e. United Arab Emirates, Canada, Germany, Singapore, the United Kingdom and the USA responded through primary survey. Findings Consistent with CCT conceptualization, the study illustrates a positive partial mediating effect of career adaptability on the direct relationship between protean career orientation and cross-cultural adjustment. Furthermore, the findings of the moderation analysis suggest that frequent interaction of the SIE facilitates the enhancing of cross-cultural adjustment. Practical implications The study suggests that lack of protean career orientation might result in lowering employee interest in the job or assignment, and affect effectiveness, satisfaction, productivity and cross-cultural adjustment. The study also recommends systematically increasing the interaction frequency with the HCNs to facilitate SIEs employees for facilitating cross-cultural adjustments (CCA). Originality/value The study theoretically and empirically contributes to protean career orientation and career adaptability in the context of expatriates, which is an enabling factor for CCA in job contexts. The relevance of interaction frequency is acknowledged for the adaptability and adjustments for the international workforce perspective.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".