The Influence of Personalization in Affecting Consumer Attitudes toward Mobile Advertising in China
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 high penetration rate of mobile phones has resulted in the increasing use of handheld devices to conduct mobile commerce. Mobile advertising, a very important class of mobile commerce applications, is a very promising direct marketing channel empowered by the Web's interactive and quick-response capabilities. Short Messaging Services, in particular, have been very successful. The present research investigates the factors that will affect consumer attitudes toward mobile advertising in China with particular emphasis on personalization. The results of a survey indicate that (1) there is a direct relationship between consumer attitudes and consumer intentions and (2) personalization is one of the most important factors in affecting consumers' attitude toward mobile advertising, particularly for female users. Thus the designers and marketers should effectively strategize their advertising designs by considering the personalization factor.
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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 | 0.000 |
| 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