Organizational Culture Analysis in the Implementation of Knowledge Management in Government Research Agency
Bibliographic record
Abstract
In knowledge management implementation, organizational culture is recognized as a driving force and defining factor of the successful knowledge management application. The aim of this study is to identify the condition of organizational culture in a government research agency using Organizational Culture Assessment Instrument (OCAI) and propose strategies that can be taken to attain the expected organizational culture which encourages the implementation of knowledge management. The result shows that the current state of the organization was identified as Market Culture which focuses on targets, deadlines, and goals. On the other hand, the expected culture desired to be Clan Culture in which more cares about teamwork, participation, and empowerment. Several strategies proposed to change the organizational culture are believed to be great for knowledge management processes and activities. To improve knowledge management implementation, the organization must be able to focus on empowering employees, stimulate transformational leadership skills, provide effective rewards, and enhance employees’ participation and engagement.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.009 |
| 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) | 0.001 | 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 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".