The Influencing Factors of Consumers’ Purchase Intention toward Green Products: A Case of Consumers in Saudi Arabia
Bibliographic record
Abstract
Traditional consumption patterns are considered to be among the leading causes of global environmental degradation. Green marketing has emerged as a possible solution to these harmful effects on the environment; it aims to provide services and products that have a positive impact on the ecosystem and that satisfy consumers’ needs. This study investigates the factors that have an influence on consumers’ intentions to purchase green products in Saudi Arabia. Attitudes toward green products (AGP), perceived behavioral control (PBC), subjective norms (SN), environmental concern (EC), environmental knowledge (EK), and green purchase intention (GPI) are examined. A questionnaire is used as a method of data collection to gain information from 251 consumers in Saudi Arabia. The conceptual model is constructed based on planned behavior theory (TPB) to support the framework of the current study. SPSS version 22.0 software was used to investigate the collected data. The study reveals that a consumer’s attitude, environmental concern, and environmental knowledge are the main factors that influence the intention to buy green products in Saudi Arabia. Perceived behavioral control and subjective norms do not significantly support this purchase intention.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".