Validando as relações de causa e efeito no balanced scorecard (BSC): Um estudo de caso no setor hoteleiro
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
The objective of this paper was to verify the existence of cause and effect relationship between the performance indicators belonging to the Balanced Scorecard (BSC) applied in a hotel.A descriptive, bibliographical, documentary and quantitative methodological approach was used through a case study.Descriptive statistics and analysis of linear models were performed on 14 three-year indicators of a hotel located in João Pessoa -Paraíba (PB), organized based on BSC perspectives: Financial, Clients, Internal Processes and Learning and Growth.It was noticed that indicators of the Customer Perspectives and Learning and Growth influenced the Financial perspective.Indicators of the learning and growth perspective influenced the Internal Processes; Some indicators of Internal Processes influenced the Customers perspective, as well as some indicators from the Customers perspective presented relationships with the Financial perspective, revealing evidence of a cascading effect.It was concluded that there are cause and effect relationships between the indicators studied, but the evidence was not generalized among all indicators.Thus, the study academically contributed to the validation of cause and effect relationships in the BSC perspectives for the hotel sector, as well as in the practice of managers who may have assistance in structuring the BSC and creation of strategic maps.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.011 |
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