Service quality and timeliness: Empirical evidence on the parcel delivery service in Indonesia
Bibliographic record
Abstract
The problems influencing the service quality of Lion Parcel Halim Perdana Kusuma Jakarta were that the delivery time needed to be by the delivery receipt and that there needed to be a complete list. This research aimed to know and analyze the service quality and the direct and indirect influence of delivery cost on customer satisfaction through timeliness. The population used in this research was the customers of Lion Parcel Halim Perdana Kusuma Jakarta, with a sample of as many as 139 respondents. The technique of data analysis used was Structural Equation Modelling with the approach of Partial Least Square. The key finding of this research was that customers considered the service quality of Lion Parcel could be better, making them dissatisfied with the quality of service delivered by Lion Parcel. Whereas the service quality and delivery cost directly influenced, timeliness and timeliness influenced customer satisfaction. It was also found that timeliness indirectly and significantly mediated the influence of service quality and delivery cost on customer satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".