Study on the Moderating Effect of the Employee Psychological Empowerment on the Enterprise Employee Turnover Tendency: Taking Small and Middle Enterprises in Jinan as the Example
Bibliographic record
Abstract
In the knowledge economy, the competition among enterprises is the competition about talents in the final analysis, and the intelligence capital becomes the key to build the core competitive advantage of enterprise. However, the abnormal turnover of employee will not only waste the human capital investment of enterprise, but also make against the implementation of the enterprise strategy and the construction of the culture. Based on the Price-Mueller (2000) model, this article adopts the definitions of the control variable, the structured variable, and the environment variable about employee turnover tendency, and creatively introduces the “employee psychological empowerment” as the Moderating variable to design and survey the questionnaire, and uses SPSS to regress in a stepwise way. The test result of the structure model by the empirical research shows that the fair allocation, the promotion opportunity, the monotonous work, the social internal support, and the exterior work chance are main factors to influence the employee turnover tendency, and the employee psychological empowerment could adjust enterprise employees’ turnover tendency. Finally, this article suggests that enterprises should harmonize the relationship between the leader’s authorization behavior and the employee’s psychological empowerment to create healthy enterprise culture and promote effective talent encouragement.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".