A study to measure the impact of customer perception, quality, environment concern and satisfaction on green customer loyalty
Bibliographic record
Abstract
Green product management plays an important role in today's economy and people are increasing becoming more interested in green products. In this paper, we present an empirical study to measure the impact of customer perception, quality, environment concern and satisfaction on green customer loyalty. The study proposes two hypotheses, where the first hypothesis studies whether the quality of green product has direct impact on customer satisfaction and the second hypothesis examines whether quality of green product has direct impact on customer loyalty. The population of this paper includes all people who use paperbased drinking glass, napkin and packaging products and live in city of Tehran, Iran. Since not all people are involved in all parts of the city in such product, we have decided to select only those who are involved in using these kinds of products including hospitals, universities, etc. The sampling technique has distributed 300 questionnaires and gathered 283 good quality ones for analysis. The questionnaire consists of 19 questions in five different perspectives. The proposed study uses sequential equation modeling and the results have confirmed both hypotheses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".