Web site design, trust, satisfaction and e‐loyalty: the Indian experience
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 With the rapid expansion of global online markets including India, researchers and practitioners are challenged to understand drivers of customer satisfaction, trust and loyalty towards web sites. The paper aims to focus on web site design, which is expected to influence whether customers revisit an online vendor. Design/methodology/approach Participants in India evaluated a local and foreign web site of the same online vendor. Surveys and interviews were used to collect the data. Findings The results indicate significant preference for the local web site in almost all design categories. Further, the local site instilled greater trust, satisfaction and loyalty. Data collected for this study are compared with parallel work conducted using the same procedures in four other countries. Research limitations/implications The current investigation is relevant for researchers who aim to expand knowledge concerning the impact of web site design related to user trust, satisfaction and loyalty. The work also has implications for web designers or managers who seek to enhance the market attraction and retention of online web sites. Limitations of the study are that both the local and foreign web sites used were Samsung web sites and that only a single task (searching for a cell phone) was used. Originality/value Few studies have examined web design in relation to user outcomes such as trust, satisfaction and loyalty in international markets.
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 | 0.000 | 0.000 |
| 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 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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