Is this real? Cocreation of value through authentic experiential augmented reality: the mediating effect of perceived ethics and customer engagement
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 Rapid advancements in augmented reality (AR) technology have created new opportunities for service providers and customers to cocreate value. Using AR as a platform for generating authentic experiences, the purpose of this study is to explore the impact of authentic experiences on customers' intention to cocreate value while considering the mediating influence of perceived ethics and customer engagement on this relationship. Design/methodology/approach An online survey was used to collect data. Participants were asked to download and try the “IKEA PLACE” AR application. The responses were used as inputs into a structural equation model. Findings The findings reveal that AR generates perceptions of authentic experiences but no direct relationship between authentic experiences and intention to cocreate value was found. On the other hand, the authentic experiences generated through AR increases customer perceptions of ethics and customer engagement, both of which lead to an increased intention to cocreate value. Originality/value The findings from this study highlight the importance of authentic experiences within the cocreation process. The results provide a unique understanding of the relationship between authentic experiences generated through AR technology on the intention to cocreate with the service provider, which is fully mediated by perceived ethics and customer engagement. The findings of this study extend the understanding of the cocreation process and the role of technology within this process.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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