Building brand value co-creation in online transportation services: A serial mediation approach
Bibliographic record
Abstract
This study aims to examine the impact of customer ethical perception on brand value co-creation in online transportation services through the role of serial mediation of customer-brand identification, overall satisfaction and transportation application commitment. This research was conducted on 300 generations Y and Z online transportation services users in the Province of Bali, Indonesia. Partial least square-structural equation modeling (PLS-SEM) was used for analysis purposes. It was found that customer ethical perception does not directly affect brand value co-creation. On the other hand, satisfaction mediates the influence of customer ethical perception on brand value co-creation. We then found that customer-brand identification and transportation application commitment mediate the influence of customer ethical perception on brand value co-creation serially. This study is the first to examine the role of serial mediation by using three variables namely customer-brand identification, satisfaction and transportation application commitment on the effect of customer ethical perception on brand value co-creation.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".