Service quality, punctual cargo delivery, and customer loyalty: The mediating role of customer decisions
Bibliographic record
Abstract
The main problem of this research was that Shopee Express, one of the companies operating in a delivery service provided by an e-commerce platform, faced a significant challenge in keeping its existence and showed a decreased performance. This research empirically examined the influence of service quality and punctual delivery on customer loyalty through customer decision as the intervening variable in the logistic company Shopee Express case study. The sample of this research was the customers of Shopee Express, with as many as 203 respondents using the path analysis method. From the discussion, it was known that there was a significant influence of service quality and punctual delivery simultaneously on customer loyalty through customer decision, and there was a significant influence of customer decisions on customer loyalty. The implication of this research was the importance of Shopee Express Indonesia continuously improving its service quality and punctual delivery to enhance customer decisions and customer loyalty. The key finding of this research could give valuable insight to the company management in developing its strategy to improve customer satisfaction and loyalty.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".