Development of a brand community engagement model: a service-dominant logic perspective
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
Purpose The purpose of this paper is to develop a model that examines motives as antecedents and consequences of brand community engagement (BCE) based on the recent service-dominant (S-D) logic framework, which considers the many actors involved in creating and consuming value in the context of brand communities (BCs). Design/methodology/approach Data were collected used an online survey and analyzed used partial least squares structural equation modeling. Findings The relationships and their significance were examined using S-D logic. The results indicate that motives of information, self-discovery, status enhancement and entertainment were positively and significantly related to BCE, except social integration. BCE was significantly related to relationship quality (RQ) and customer satisfaction (CS). Finally, CS had a significant positive impact on RQ. Originality/value The contribution stems from the incorporation of the recent iteration of S-D logic as a theoretical framework into the BC model and the assessment of the relationships in the structural model.
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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 | 0.012 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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