Managing Competency in Non-Profit Organization: Experience with a European University
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Competence Management (CM) has been discussed in contemporary academic and practitioner literature as a managing tool of Core Competences. Most of the studies of CM deal with manufacturing sector and profit organizations. Very little is known about CM in services and almost nothing in not-for profit organization. No research report has yet been found in educational institutions. Although, CM is not only important in manufacturing and profit organizations but also important in non-profit, like educational institutions, in order to meet the required quality and competitiveness of 21st century's education. Thus, an attempt has been made in this research to study CM in the administration of one the top ranking University in a Nordic country. The result results reveal that competencies had been defined in individual, network and unit level, but lack of integration of a comprehensive CM framework unable the higher educational institution to achieve the benefits of core competence. Based on the empirical findings, some policy and research directions are given at the end of the research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| 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 it