Role of Intellectual Capital and Work Behavior in Supporting Lecturer’s Performance
Bibliographic record
Abstract
Muhammadiyah Universities in South Sulawesi face the challenges of competitiveness, quality of human resources and lecturer’s on Tridharma performance in the field of education and teaching, research and scientific publications, and dedication to the community and other support activities.This research aims at reconstructing the development of intellectual capital through Al-Islam Kemuhammadiyaan values approach. So as to create good work behavior in order to support the university’s performance on Tridharma.This research is a quantitative research with positivist approach. The research design used in quantitative research is an explanatory research using survey methods at 10 Muhammadiyah universities in South Sulawesi by distributing questionnaires to 154 lecturers, but that can be processed only 146 questionnaires. Primary data were then analyzed using Structural Equations Models (SEM) techniques and the program is Analysis of Moment Structure (AMOS).The research findings are: (1) intellectual capital contribute significantly in supporting the lecturer’s work behavior of Muhammadiyah Universities in South Sulawesi. (2) intellectual capital does not contribute significantly in supporting the lecturer’s Tridharma performance of Muhammadiyah Universities in South Sulawesi. (3) work behavior contribute significantly in supporting lecturer’s performance of Muhammadiyah Universities in South Sulawesi.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".