Investigation of the Relationship of Brand Personality, Subjective Norm and Perceived Control on Consumers’ Purchase Intention of Organic Fast Food
Bibliographic record
Abstract
Organic fast food among the Malaysian consumers is an emerging theme of discourse. As more people are eating foods bought from fast food restaurants, this eating out lifestyle further heightened the problems of unhealthy eating and unbalanced diets (Azlina et al., 2011). So, to help consumers improve their personal wellness, fast food restaurants should consider various organic meals into their extended services. Indeed, this work intends to weigh into the proposed factor (TPB constructs; subjective norm and perceived dominance and brand personality dimensions; sincerity, excitement, competence, sophistication and ruggedness) towards purchase intention of organic fast food in Malaysian perspective. The outcomes distinguish that three of the factors have a significant positive association with organic fast food intention to purchase normally, sincerity, competence and sophistication. Hence, the outcome proposed that the strongest ingredients in this relation are sincerity. Therefore, the researchers agreed that fast food operators may successfully incorporate brand personality variables such as sincerity, competence and sophistication to influence on the formation of customers’ intention of organic fast food. Hence, this study successfully develop theoretical and pragmatic aspects to discover the purchase intention of organic fast food on the perspective of Malaysian consumers’.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".