A services‐marketing perspective on e‐retailing: implications for e‐retailers and directions for further research
Bibliographic record
Abstract
There has been an explosion in the number of retail Web sites since 1995, e‐retail offering shares a few common elements specifically a product search facility (often augmented by a product evaluation facility), an on‐line purchase function and a product delivery capability. There is a body of theory and empirical research in the study of customer loyalty drivers in the services sector, which demonstrates that customers evaluate services on the basis of tangibles, responsiveness, empathy, assurance, reliability and control. These service qualities depend on the customer’s perception of the overall service experience. The most influential element in the service experience is the relationship between the service provider and the customer. The Internet is a poor service delivery medium, it lacks the capacity for direct personal interaction enjoyed by non‐Internet based services. Sets out a number of marketing and Website design implications for e‐retailers and suggests means by which e‐retailers can manage customer perceptions to increase sales and develop greater customer loyalty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.006 | 0.023 |
| Scholarly communication | 0.019 | 0.030 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".