The Relationship Between Extrinsic Attributes of Product Quality with Brand Loyalty on Malaysia National Brand Motorcycle/Scooter
Bibliographic record
Abstract
This study is about the discoveries on the relationship between extrinsic attributes of product quality with brand loyalty. It helps to extend the understanding of a commitment to re-purchase a product, due to the feelings and effects formed as a result of the perception of quality. Results obtained in this study with the earlier literature are consistence to confirm that although the product in study was different, the product quality based on the perceived quality (extrinsic attribute) was still found to have significant influence on the brand loyalty. This happened because the customer has developed perceptions that derived from high level of customer awareness, good image from marketing activities such as advertising, sales promotion and etc. Such perceptions may increase the consumer’s desire to buy the product. Future research should focus on the similar study of product quality and brand loyalty to the other brands being the competitor to Malaysia National Brand Motorcycle/Scooter in the market. By doing this only the gap can be closed with a clearer picture on the extended scope of market environment which can be further examined. Keywords: Product Quality; Brand Loyalty; Intrinsic Attributes; Extrinsic Attributes; Perceived Quality.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".