Attracting Shoppers to Shop Online—Challenges and Opportunities for the Indian Retail Sector
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
The purpose of the current research is to understand the influence of normative beliefs, age, and gender on online shopping attributes and consequently on consumers' online shopping behavior. Data was collected through mall intercept technique in three cities of India (Delhi, Noida, and Gurgaon). Indian consumers' attitude toward online shopping being “convenient” is determined by their “perceived usefulness” and “ease of use” of the Web site. Online shopping behavior is moderated by normative beliefs and gender. Consumers' attitude toward online shopping differs across age categories and a Web site's “ease of use” attribute. The findings can enable online retailers to improve consumers' perceptions toward a Web site's “convenience” attribute. Online retailers targeting Indian consumers should make the Web sites user friendly and easy to understand.
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 | 0.001 | 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 | 0.001 |
| 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 it