The effect of organizational culture on employee performance mediated by job satisfaction and work motivation: Evident from SMEs in Indonesia
Bibliographic record
Abstract
This study aims to examine the influence of organizational culture on employee performance mediated by job satisfaction and work motivation. This research is a quantitative research with a case study at the SME PT PMS Company in Surabaya, Indonesia by distributing questionnaires to 50 employees. The data were processed using Structural Equation Modeling with the Smart PLS 3 programs. The results showed that in fact the respondents thought that organizational culture and work motivation had no direct significant effect on employee performance, and work motivation could not mediate organizational culture on employee performance. Organizational culture has a significant direct effect on job satisfaction and work motivation and job satisfaction has a significant direct effect on employee performance. Likewise, job satisfaction can mediate organizational culture on employee performance where all relationships lead in a positive direction. There has been no research that examines the relationship model of those 4 variables which is intended to determine the wider relationship between these variables and this study provides an overview of employee behavior in SME companies and is useful as input in determining strategies, especially for companies to improve their performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".