Examining the effects of authenticity fit and association fit: A digital human avatar endorsement model
Journal of Retailing and Consumer Services, ISSN: 0969-6989, Vol: 71, Page: 103230
2023
- 37Citations
- 91Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
In recent years, the extensive use of digital human avatar (DHA) endorsement has emerged. DHA endorsement often entails the use of real products, e.g., wearing real clothes, which raises the issue of the fit between a “fake” virtual image and a real product. Whether consumers feel a positive attitude toward this kind of fit is the basis of whether DHA endorsement can be successful. Accordingly, based on cue consistency theory, we infer that consumers generate positive attitudes toward DHA endorsement when there is a fit between a DHA and a real product. We therefore developed a DHA endorsement model to explain the antecedents and consequences of avatar-product fit, decomposing fit type into authenticity fit and association fit. Two tests were used to verify this model. Their results show that authenticity fit and association fit have significant positive impacts on consumer attitudes toward DHA endorsement. Furthermore, the influences of these two paths vary by product. For hedonic products, authenticity fit has a greater impact on attitudes; for utilitarian products, association fit is a more influential factor.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S096969892200323X; http://dx.doi.org/10.1016/j.jretconser.2022.103230; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85144434408&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S096969892200323X; https://dx.doi.org/10.1016/j.jretconser.2022.103230
Elsevier BV
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