Testing The Role Of Country Of Origin, Celebrity Endorser, Ads And E-Wom Towards Consumer Buying Interest
Bibliographic record
Abstract
This research is motivated by the increasing market share of OPPO Smartphones in Indonesia in the Second Quarter of 2019. It is thought that this increase has an effect on increasing sales of the OPPO Smartphone and also makes the reason OPPO Smartphones are able to overtake Samsung's position in Indonesia. The purpose of this study is to analyze the variables Country of Origin, Celebrity Endorser, Advertising and E-WOM on Purchase Interest of OPPO Smartphone products. The research method used is quantitative research. Determination of the number of samples using non-probability sampling techniques with a purposive sampling method with a total sample of 126 respondents. This study uses multiple linear regression analysis. The results of the study indicate that the Country of Origin, Advertisements and E-WOM variables have a positive and significant effect on buying interest in OPPO Smartphone products. While the Celebrity Endorser variable does not significantly influence the buying interest of OPPO Smartphone products.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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 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".