Bibliographic record
Abstract
This study explores how spiritual leadership through its effects on individuals' spiritual well-being enhances employee engagement and augments employees' organizational commitment. The research conducted a general survey of 207 millennial employees in China, which was tested using partial least squares (PLS) structural equation modeling. The results suggest that employee engagement was significantly influenced by spiritual leadership. In addition, the results demonstrate that organizational commitment was influenced by the sequential intervening effects of employee wellbeing and work engagement. Both the explained variance (R 2 ) and the effect size of exogenous variables on endogenous variables ( 2 ) showed moderate-to-high effects, supporting the predictive ability of this PLS spiritual leadership model. This study suggests that young workers' engagement and commitment to their work and organizations are roused when the organization and its leaders satisfy workers' higher-order humanistic needs. This is accomplished when employees' socio-psychological resources, such as spiritual well-being, are enhanced through spiritual leadership, which can be augmented by organizational climates that embrace young workers' "whole" selves. This study expands our understanding of the role that spiritual leadership plays in not only motivating organizational commitment but, more importantly, in engaging employees in their work roles.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".