Factors affecting customer satisfaction on online shopping holiday
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Singles' Day (SD) in China is the world's biggest online shopping event while consumer dissatisfaction is also on the rise. Both theory and practice need sharper insights to foster consumer satisfaction, but such knowledge remains sparse in the literature. The current study addresses this void by assessing the effects of online and offline retail service features on consumer satisfaction with SD. Design/methodology/approach A two-phase survey was implemented before and after the SD online shopping holiday, with 594 participants in China. Respondents were randomly selected from unique proprietary databases of merchants in the top-five online product categories in China. Findings The findings show that information quality, product quality and savings improve, but product return worsens, customer satisfaction with the online shopping holiday. However, good after-sale service can ease the product return process thereby boosting customer satisfaction. Originality/value This paper addresses a research void by studying effectiveness of retail service features on consumer satisfaction with online shopping festivals.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it