Investigating the effect of advertisement on consumer behavior
Bibliographic record
Abstract
During the past few years, there has been tremendous increase in advertisement expenses all over the world. Therefore, it is important to examine, to investigate and to evaluate the performance of advertisement to reach organizations' objectives. This paper presents an empirical investigation using highly reliable and efficient method called AIDA, which consists of four factors: attention, interest, desire and action. The study is implemented for one of Iranian food suppliers called TABAROK located in city of Mashad, Iran. The survey selects a sample of 300 regular customers and distributes a standard questionnaire among them. Cronbach alpha has been calculated as 0.93, which is well above the minimum desirable level. Using Spearman correlation test, the study confirms that all four components of the survey influences consumer behavior, positively. The study also indicates that there were some positive and meaningful correlations among various components of the survey. In addition, applying Freedman test indicates that advertisement has the highest impact on convincing consumer to purchase product.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".