Linking paternalistic leadership to work engagement among Chinese expatriates: a job demand-resource perspective
Bibliographic record
Abstract
Purpose This study explores how paternalistic leadership (PL) influences Chinese expatriates' work engagement in a cross-cultural context, and examines how expatriates' cross-cultural adaptability sets a boundary condition for this relationship. Design/methodology/approach Data were collected from two-wave surveys of 82 supervisors and 318 Chinese expatriate teachers from 57 Confucius Institutes in 18 countries. Structural equation modeling was used to test the hypothesized relationships. Findings Benevolent and moral leadership as job resources are negatively related to work–family conflict (WFC), whereas the job demand of authoritarian leadership positively relates to WFC. Further, WFC mediates the effect of PL styles on Chinese expatriates' work engagement. Cross-cultural adaptability moderates the negative relationship between WFC and work engagement, and the indirect effect of PL styles on work engagement through WFC. Practical implications Organizations should consider WFC an important intervening mechanism linking PL and Chinese expatriates' work engagement. Cross-cultural organizations can mitigate the negative impact of WFC on work engagement by enhancing expatriates' cross-cultural adaptability. Originality/value This study is the first to examine the PL–work engagement relationship via a work–family interface, which contributes to integrating leadership and work–family outcomes. It enriches research on the JD-R model by showing that job resources and job demands affect employee outcomes through the mediation of stressors. Furthermore, this study identifies a new personal resource by examining cross-cultural adaptability's moderating role.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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 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".