Brand Name, Sales Promotion and Consumers’ Online Purchase Intention for Cell-phone Brands
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
Although “Internet” has become a wide channel for commercial transactions, yet most people have different concerns in trading through this media, especially within developing countries. This research seeks to examine the final impact of brand name and sales promotion, as two powerful marketing strategies, on consumers’ online purchase intention, considering perceived quality, perceived value and store image as possible mediating variables affecting the decision making of consumers. For this purpose, two cell-phone brands (a well-known vs. to a less-known brand) were studied among 248 professors, employees and students from University of Tabriz, in IRAN. The required data was gathered by questionnaire and analyzed using SPSS and AMOS GRAPHICS soft-wares. The results indicate that online cell-phone stores in IRAN should respectively consider the importance of (1) strengthening their online store’s image, (2) managing advertisements and increasing public awareness toward their brand, (3) upgrading service quality and (4) providing effective promotions to attract consumers over time.
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 | 0.003 |
| 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