The Way to Improve Employees' Job Satisfaction in Korean Social Enterprises: The Moderating Effects of Person-Organization Fit, Person-Job Fit, and Person-Supervisor Fit
Bibliographic record
Abstract
Human resources play a key role in achieving a high level of organizational performance and the importance is still emphasized in our society. Nonetheless, organizations are experiencing negative phenomena such as job exhaustion and turnover. One of the key factors that can reduce these negative factors is seen as job satisfaction. In this regard, this research is an empirical study that it focused on the improvement of job satisfaction among organizational members who work in Korean social enterprises. In order to improve their job satisfaction, we focused on organizational communication and verified its role and emphasized its importance through its influence on job satisfaction. To improve the effect of organizational communication, we verified the role of person-organizational fit, person-job fit, and person-supervisor fit. These three types of fit were identified as ways to increase the influence of organizational communication on job satisfaction. Therefore, we examined the moderating effect of these three types of fit on the relationship between organizational communication and job satisfaction. The empirical results showed that the higher the three types of fit, the greater the influence of organizational communication on job satisfaction. Furthermore, by comparing the impacts of the three types of fit on job satisfaction, we identified what is the most essential fit. Based on the results of empirical analysis, this research discussed practical implications for improving organizational member's job satisfaction in Korean social enterprises and provides future research plans for the performance of Korean social enterprises.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".