The impact of culture and organizational climate variables in the management of intellectual capital: a comparative study of Brazil, Canada, Iran and Lebanon
Bibliographic record
Abstract
Este estudo se propôs verificar, o impacto da cultura e clima organizacional na gestão do Capital Intelectual no Brasil, comparativamente com o Canadá, Irã e Líbano. Para isso, realizou-se uma pesquisa descritiva através de questionário, com escala Likert, com trabalhadores em empresas brasileiras e comparou-se com os dados obtidos, em outra pesquisa, para o Canadá, Irã e Líbano. Deste modo, o estudo procura analisar, comparativamente entre os países, os impactos dos componentes de Cultura e Clima e verifica, em quais deles, há impacto mais favorável ou desfavorável para a gestão do Capital Intelectual. Constatou-se que os níveis dos componentes culturais e de clima organizacional atingiram patamares mais elevados no Brasil que no Canadá, Irã e Líbano, indicando que as variáveis Cultura e Clima têm impacto mais favorável para a gestão do Capital Intelectual nas empresas brasileiras. Sugere-se que estudos posteriores possam verificar impactos e influência de outras variáveis como burocracia, educação, etc.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".