The Impacts of Professional Skills, Attitude, Time Management and Work Experience on Job Performance: The Case of Mongolia
Bibliographic record
Abstract
The aim of this study is to analyze the requirements for the impacts of professional skills, professional attitude, work experience on job performance in entrepreneurships. There are many scholars studied the relationship factors on performance management in the world, but there are lack of study our topic in Mongolian private sector such as entrepreneurships. Thus, we interested this topic in here. Performance management, job performance are involve the process of all activities which occurs between an employer and an employee as support of accomplishing value, mission, vision and main objectives in the organization. We collected from 146 employees who work in entrepreneur of Mongolia. The result of data determined through online in first quarter 2022. Our study from many others is we analyzed 4 hypotheses, one of them had a positive relationship with considered impacts. On the other hand, three hypotheses could not have positive relationship on considered impacts. Data was estimated by SPSS 21 and Smart PLS 2.0 statistic programs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".