Bibliographic record
Abstract
In the quest to elucidate the factors influencing consumer satisfaction within the realm of online services, this study zeroes in on the e-Albania platform, with a distinct aim to ascertain how adherence to circular economy principles impacts consumer e-satisfaction.Employing a mixed-methods approach, the study melds the empirical rigor of quantitative surveys with the nuanced understanding gleaned from qualitative interviews, offering a comprehensive view of the consumer landscape.The survey component of the research boasts a robust sample size, ensuring the findings are reflective of a broad spectrum of consumer interactions with the e-Albania service portal.Analysis of the data illuminates that not only are usability and reliability key drivers of e-satisfaction, but the integration of "green" values and consumer involvement in sustainability efforts are also pivotal.These findings advance the conversation on how online service providers, particularly those in the mold of e-Albania, can refine their service offerings to not only meet the functional demands of users but also to align with the evolving ethos of sustainable consumption.In sum, this study not only maps out the landscape of consumer e-satisfaction but also makes a compelling case for the strategic inclusion of circular economy tenets in service design and delivery as a means to foster a sustainable economy.It is an invaluable reference point for online service providers aiming to recalibrate their strategies in the direction of environmental sustainability and superior consumer satisfaction.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".