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Cited by 298

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables

Holdack, Eric, Lurie-Stoyanov, Katja, Fromme, Harro Fabian·2022·Journal of Retailing and Consumer Services
DOI 10.1016/j.jretconser.2020.102259
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Abstract

Abstract Augmented reality smart glasses are a major trend in retailing. However, little is known about the factors that drive customers’ acceptance of these wearables as a channel in stores. Especially, the roles of perceived enjoyment and perceived informativeness for usage intentions of such novel and immersive technologies are unclear. Thus, the authors propose an extended technology acceptance model as an instrument to predict future adoption. The results indicate that perceived enjoyment largely mediates the influence of perceived informativeness and other variables on attitude and usage intention. Further, perceived enjoyment functions as a direct predictor for attitude and in strength even exceeds perceived usefulness. Hence, retailers should consider focusing on joy-related aspects when aiming at the introduction of broadly accepted AR applications in stores.

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Metadata

Authors
Holdack, E., Lurie-Stoyanov, K., & Fromme, H. F.
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2022-03
Volume
65
Pages
102259
ISSN
0969-6989 (ISSN-L)
DOI
10.1016/j.jretconser.2020.102259
OpenAlex
W3082653683
Cited by
298
References
52
FWCI
27.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables. https://app.cochat.ai/papers/10.1016/j.jretconser.2020.102259
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Holdack, E., Lurie-Stoyanov, K., & Fromme, H. F. (2022). The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2020.102259

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.