Bibliographic record
Abstract
<p>The service quality as the object of business excellence measuring is more and more often mentioned with regard to corporate practice, but also at the theoretical level. Universal methods are applied in its evaluation that can aid evaluation systems taking into account the environment of service provision and personal quality of employees. The aim of this paper is to introduce the system of service quality measuring from the perspective of a customer. The paper is divided to following sections: theoretical background, aimed at approaches to define the notion of quality and dimensions of a service quality; research methodology, expert interviews, primary and secondary research and mathematical-statistical methods were applied; results, the outcome is the specification of dimensions of the service quality and the system of quality measuring is presented as a discriminatory function. The proposed index and dimensions and sub-dimensions defined within it form a basis for quantitative assessment of the achieved quality of service. It represents a methodology of creation of a system of service quality measuring; a model of multiple discriminatory analyse which enables the measuring of service quality through sub-dimensions with differentiated weight; a basis for creating an economic-statistical model of quantitative measuring of information.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".