The Effect of Emotional Intelligence of Operational Team Leaders on the Performance of Team Members
Bibliographic record
Abstract
This study is aimed at identifying the effect of emotional intelligence with its dimensions (self-awareness, self-regulation, empathy, motivation, and social skills) on the performance of working teams with its dimensions (task performance, contextual performance, and counterproductive performance) among employees on the operational lines of industrial companies operating in the Jordanian city of Sahab. The analysis is limited to employees in those companies, and the questionnaire is used as a data collection tool, taking a simple random sample to represent the study population. In addition to the analysis of 216 questionnaires, the SPSS program is used as a data analysis tool in the study. The study emphasizes the importance of emotional intelligence dimensions for operational team leaders, especially motivation and social skills dimensions because they have a higher effect on the task performance and contextual performance levels, while all dimensions of emotional intelligence have a negative effect on counterproductive performance for operational team members.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 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".