Unraveling the Dynamics of Social Media Influencers on Sustainable Purchase Intentions and Environmental Awareness Among People with Disabilities: A Focus on the Moderating Role of Disability Types
Bibliographic record
Abstract
This research explores how social media influencers (SMIs) impact the intentions of people with disabilities to engage in purchasing behavior and increase their awareness. Using a quantitative approach, the study specifically examines the impact of content quality and information credibility while also considering disability types as a moderating factor. The results from a targeted survey show that influencer content and credibility significantly affect both awareness and sustainable purchase intentions. Additionally, the study reveals how different types of disabilities moderate both relationships. These findings provide insights for marketers targeting vulnerable populations while emphasizing the importance of an inclusive approach in influencer marketing. Although this research focuses on Tunisia, a developing economy, it paves the way for subsequent cross-cultural studies and broader applications in different cultural contexts, thus contributing to a more comprehensive understanding of how influencer marketing can promote sustainable and prosocial consumer behavior in various settings.
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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 | 0.004 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".