A INFLUÊNCIA DO CAPITAL HUMANO NA QUALIDADE DE SERVIÇOS
Bibliographic record
Abstract
Este estudo investigou a influência do capital humano na qualidade de serviços no setor bancário de atendimento às micro e pequenas empresas paranaenses. A pesquisa foi realizada com os funcionários de instituições financeiras que atendem micro e pequenas empresas de diversos setores econômicos no estado do Paraná. Foi utilizada a replicação do instrumento de coleta do questionário aplicado no país Europeu de Andorra, dos autores Mariño-Mesías, Rodríguez-Antón & Rubio-Andrada (2015). A avaliação quantitativa utilizada na estatística descritiva foi realizada por meio da utilização do software IBM SPSS Statistics versão 22 e para o Modelo de Equações Estruturais foi utilizado o Software SmartPLS 3. Os resultados apresentados demonstraram alto nível de significância e forte relação quanto ao grau de influência do capital humano na qualidade de serviços.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".