Letting the Dogs Out: The Impact of Team Service Dogs on Brand Image, Perceived Altruism, and Behavioral Intention
Bibliographic record
Abstract
A recent cause-related marketing (CRM) trend for sport organizations has been to adopt a service dog that they will train and showcase through social media and at team events. This phenomenon is unique as these teams are utilizing the dog as a brand association but through a charitable lens in that they are providing resources to train the dog and giving exposure to a good cause. This study examines the consumer behavior implications, specifically brand image, perceived altruism, and purchase intentions, of sport organizations adopting service dogs. Through an experimental design, this study introduces an emerging factor in sport CRM and suggests the level of the consumer's awareness of the CRM initiative impacts consumer's image of the brand, perceived altruism, and purchase intentions. This article furthers our conceptual understanding of CRM and provides practical implications for sport organizations looking to adopt this strategy.
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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 | 0.006 | 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 | 0.002 | 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) | 0.001 | 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".