A strategy to improve green purchase behavior and customer relationship management during the covid-19 new normal conditions
Bibliographic record
Abstract
The study aimed to perform a further analysis of the society’s awareness towards the natural environment, especially the awareness of having a healthy life, which leads them to have an awareness to use a natural-based product (environmentally friendly product). Furthermore, this awareness acts as a guidance for them to become consumers who care about their environment and also the material logistics management of each company to build a good customer relationship management with their customer. Along with this phenomenon, however, several reasons regarding the increase of environmentally friendly product consumption are unknown. This study focused on antecedents generating green purchase behavior, namely, social influence, green attitude, green value, and green trust. The approach applied in the study was a purposive sampling method with the 450 respondents in all over Bali. The finding showed that the social influence did not significantly impact the green purchase behavior. On the other hand, green attitude, green value, and green trust brought a positive and significant impact toward green purchase behavior. Social influence, green attitude, and green value influenced positively and significantly toward green trust. Green trust played a role as the relationship mediator of social influence, green attitude, and green value on green purchase behavior. The study was limited as it belonged to cross-sectional and longitudinal study, and it needed a lengthy period to validate the finding. It only accommodated the consumer’s green purchase behavior in Bali. Hence, it cannot be generalized; however, it can be developed in another area. Moreover, the practical implication for the producers of the environmentally friendly product is that they can be more attentive to certain variables that generate the green purchase behavior. The authenticity of the study is that the social influence does not influence the green purchase behavior toward the society in Bali. Furthermore, this study supports the Theory of Reasoned Action (TRA) particularly in marketing the green product. The study is a more completed model development of the green purchase behavior. Furthermore, the variable in this study is worth considering in developing the environmentally friendly product.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".