Summary and discussion of the quantitative study
| Aspect evaluated | Description/summary |
|---|---|
| Most outstanding solution | S10: Coverage of 80%, consistency of 83.3%. It is the most effective in explaining performance |
| Frequent conditions | – Opinion leadership (OL) and content attributes (CA) appear in several solutions, demonstrating their importance |
| – Dedication (D) and knowledge-oriented leadership (K-OL) are also relevant in some configurations | |
| Solutions highlighted by condition | – OL: Present in S2, S8, S9, S10 and S11; aligned with of Farivar et al. (2022), who observed that influencers actively engaging their audience in their posts, stories or live streams tended to demonstrate higher relevance |
| – Personal Attributes (PA): Present in S1, S4 and S5; aligned with Bawack et al. (2021), which suggests that the presence of personality traits such as friendliness, conscientiousness and intellect, along with trust and prior experience, contributes to high customer experience performance | |
| – Content Attributes (CA): Relevant in S7, S9 and S10; aligned with Cheung et al. (2022), who emphasize the crucial role of crafting creative content with well-designed layouts and advanced technological features to stimulate consumers’ psychological responses | |
| Top solutions by metrics | 1. S10: Coverage 80%, consistency 83.3% 2. S8: Coverage 72%, consistency 85.7% 3. S7: Coverage 64%, consistency 84.2% 4. S9: Coverage 60%, consistency 83.3% 5. S4: Coverage 52%, consistency 86.6% |
| Aspect evaluated | Description/summary |
|---|---|
| Most outstanding solution | S10: Coverage of 80%, consistency of 83.3%. It is the most effective in explaining performance |
| Frequent conditions | – Opinion leadership ( |
| – Dedication (D) and knowledge-oriented leadership (K-OL) are also relevant in some configurations | |
| Solutions highlighted by condition | – |
| – | |
| Top solutions by metrics | 1. |
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