Creating the right customer experience online: The influence of culture
Bibliographic record
Abstract
The effective role of experiential marketing in the differentiation of brands has been documented in both traditional and online services. The digital context of e-retailing makes it both a suitable platform for experiential consumption and an easily accessible shopping method across cultures. In spite of this, investigation of the impacts of cultural differences on the desire for experiential benefits has been very limited in the e-retailing literature. Using Hofstede's (2001) cultural dimensions, this article studies how two student samples of North American and Chinese customers react differently to the experiential values offered on the websites of e-retailing services. The findings support our hypotheses and suggest that offering experiential values on a company's website is more influential for North American than for Chinese customers. More specifically, the influences of experiential values on site involvement and customers' patronage intentions are stronger for North Americans than for Chinese visitors. On the other hand, the impacts of site involvement on site attitudes and the influence of site attitudes on patronage intentions are stronger for Chinese compared with North American customers.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".