Investigating the Role of Ethical Self-Identity and Its Effect on Consumption Values and Intentions to Adopt Green Vehicles among Generation Z
Bibliographic record
Abstract
Consumption values and consumer identities have been widely explored as needed in the literature on sustainability, but they are mainly treated as separate predictors of sustainable behavior. Researchers are calling for further analysis of these variables’ combined impacts to investigate sustainable behavior. This research integrates consumption values theory (functional, social, conditional, epistemic, and emotional) and ethical self-identity to explore the intention to adopt green vehicles among Generation Z. The data in this paper were collected from 319 respondents through a structured questionnaire in two universities in Islamabad, Pakistan. We used the PLS-SEM approach to analyze the results; we found that functional value (quality), social value, conditional value, and emotional value significantly influenced the intention to adopt green vehicles among Generation Z. The study further demonstrated that ethical self-identity significantly mediates the relationship between consumption values and the intention to adopt green vehicles among Generation Z. Our findings indicate that ethical self-identity inferences are favorable when promoting green vehicles among Generation Z. Therefore, the results of this study provide novel understandings for marketers and policymakers in Pakistan to emphasize the improvement of consumer values and ethical self-identity, which will eventually contribute to the adoption of green vehicles. In addition, automakers should promote green ideas, to encourage Generation Z to replace their existing vehicles with alternative green options in Pakistan.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".