A study on organizational culture, structure and information technology as three KM enablers: A case study in five Iranian medical and healthcare research centers
Bibliographic record
Abstract
This study investigates organizational structure, culture, and information technology as knowledge management (KM) infrastructural capabilities, and compares their significance and status quo in five medical research centers in Tehran, Iran. Objectives of this research were pursued by employing two statistical methods, regression analysis and Friedman test. Included in the study were 135 people (researchers and support staff) from five medical and healthcare research centers of Tehran. A survey questionnaire including 23 questions was utilized to examine organizational structure, culture and information technology indicators. And another 12 questions examined KM effectiveness. The Friedman test indicated that in terms of their status quo, the three studied KM enablers are at different conditions, with organizational culture having the best (mean rank=1.79) and IT the worst (mean rank=2.14) status. Moreover, it was revealed by regression analysis that organizational structure is believed to have the most significant impact (Beta= 0.397) on the effectiveness of knowledge management initiatives, while information technology gained the least perceived impact (Beta= 0.176).
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".