Research on Behavioral Flow in the Green Supply Chain in Vietnam: The Role of Reverse Logistics Activities Under the Expanded Perspective of the TPB Model
Bibliographic record
Abstract
The study explores how a green supply chain context influences consumer behavior in Vietnam amid rising environmental concerns. By 2023, global waste hit 1.92 billion tons, with Vietnam contributing 28 million tons—10% of which is plastic waste entering oceans. Vietnamese businesses are urged to adopt reverse logistics and sustainable practices as awareness grows. The research identifies seven factors affecting purchase intention: Attitude, Subjective Norms, Perceived Behavioral Control, Environmental Concern, Moral Norms, Past Behavior, and Consequences. Using SmartPLS 3.2.9 and data from 405 respondents, the study finds that six out of eight hypotheses are supported. Environmental Concern significantly influences purchase intention (0.239), and Perceived Behavioral Control impacts willingness to pay (0.360). The study offers managerial recommendations to strengthen green purchasing behavior and support Vietnam’s move toward sustainable development.
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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 | 0.001 | 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 | 0.001 | 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".