Organizational Commitment of Non-Profit Organization Volunteers: A Study on the Save Street Child (SSC) Organization in Malang City, Indonesia
Bibliographic record
Abstract
Save Street Child (SSC) is a nonprofit organization in which its main activity is focused on the empowerment of the street children. This research aims at analyzing the effect of organizational culture on organizational commitment, analyzing the job satisfaction as the mediating variable of the organizational culture’s influence on the organizational commitment, and analyzing the volunteering tenure as the moderating variable of the organizational culture’s influence on the organizational commitment. This research involved all of 63 volunteers in SSC organization in Malang City as respondents. Closed questionnaires were used to collect the primary data. Further, the data were analyzed by using the PLS (Partial Least Square). The research results show that the organizational culture affects the job satisfaction, whereas the organizational culture does not have any influence on the organizational commitment. In addition, the job satisfaction influences the organizational commitment, and it also becomes the mediating variable of the influence of the organizational culture on the organizational commitment. The last finding also shows that the volunteering tenure is not the moderating variable of the organizational culture’s influence on the organizational commitment. This study is useful for understanding organizational culture, job satisfaction, and organizational commitment in nonprofit organizations.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 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 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".