Factors Affecting the Effectiveness of Cause-Related Marketing Campaign: Moderating Effect of Sponsor-Cause Congruence
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
<p>This study aimed at identifying the factors affecting cause-related marketing and the moderating effect of sponsor congruence. Data were collected using a self-administrated questionnaire from 500 Jordanians’ consumers from Amman/Jordan. Results of the study showed that there is a positive effect of statistical significance of cause-fit on Jordanian customer’s brand credibility. Contrary to our expectations, the results showed that there is no statistical significant effect of altruistic attribution on Jordanian customer’s brand credibility. The results also showed that there is a positive statistical significant effect of brand credibility of Jordanian customers on cause-related marketing. In addition, it was found that there exists a positive effect of statistical significance of brand credibility of Jordanian customer on cause-related marketing due to sponsor-cause congruence. The current study recommends the necessity of spreading the awareness of cause-related marketing and its benefits to the society. It is also necessary for decision makers in business organizations to concentrate on the fitness of the cause during marketing for some kind of product.</p>
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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 | 0.013 | 0.018 |
| 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 | 0.001 | 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 it