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Cited by 470

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions

Rese, Alexandra, Baier, Daniel, Geyer-Schulz, Andreas, Schreiber, Stefanie·2017·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2016.10.010
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Crossref · 10.1016/j.techfore.2016.10.010

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Metadata

Authors
Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2017-11
Volume
124
Pages
306-319
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2016.10.010
OpenAlex
W2540972650
Cited by
470
References
92
FWCI
39.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. https://app.cochat.ai/papers/10.1016/j.techfore.2016.10.010
The paper
Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2016.10.010

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.