Fear of Missing Out and Its Impact on Generation Z's Green Consumption Intentions
Bibliographic record
Abstract
The purpose of this study is to examine the influence of fear of missing out (FOMO) on the green consumption intentions of Gen Z. The study employs a quantitative approach, conducting a survey of 492 Gen Z consumers in Ho Chi Minh City, Vietnam. Data were collected by questionnaires sent directly through social media channels in the fourth quarter of 2024. Through data analysis using SmartPLS 3.0 software, the study discovered two new contributions: (i) FOMO positively affects green consumption intention through the mediating role of attitude, motivation, and subjective norm; and (ii) subjective norm plays a negative moderating role in the relationship between motivation and green consumption intention. These findings contribute significantly to the theoretical framework of young people's consumption behavior. In practice, the study provides empirical evidence for organizations and businesses on the mechanism of behavior formation under the influence of FOMO. This allows them to adjust their marketing strategies, particularly by leveraging the influence of communities and groups, to enhance the impact of FOMO in the sales process.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".