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Antecedents to the adoption of augmented reality smart glasses: A closer look at privacy risks
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“Finally, Rauschnabel et al. (2018) discuss that data protection research has typically focused on the protection of a user's privacy.Since AR must by definition track and understand the real world, this also affects the privacy of other people.”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Rauschnabel et al. (2018)
In the citing paper
“In digital retailing, AR can strengthen both judgements by simulating tangibility and enabling virtual product testing, which reduces the uncertainty that ordinarily attends online purchases (Rauschnabel et al. 2018;Scholz and Duffy 2018).”
From Seeing Is Believing, Experiencing Is Deciding: How Augmented Reality Attributes Drive Confidence in Choice and Willingness to Pay (2026) · cites this paper as Rauschnabel et al. 2018
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“It is maybe not surprising that threats to both users’ and other people’s privacy (Rauschnabel et al., 2018) might play a dominant role in these discussions.”
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Metadata
- Authors
- Rauschnabel, P. A., He, J., & Ro, Y. K.
- Affiliations
- Universität der Bundeswehr München (DE)
- University of Michigan–Dearborn (US)
- Corresponding author
- Rauschnabel, Philipp A.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 92
- Pages
- 374-384
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2888120430
- Cited by
- 344
- References
- 62
- Citations by year
- 2026: 25 · 2025: 42 · 2024: 44 · 2023: 51 · 2022: 60 · 2021: 53 · 2020: 41 · 2019: 25 · 2018: 2
- FWCI
- 42.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Business Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Purdue University
- University of Michigan
- Tsinghua University
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- augmented reality smart glasses, wearable technology adoption, privacy risks, perceived benefits, utilitarian benefits, hedonic benefits, symbolic benefits, consumer behavior
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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