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Cited by 565

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

Virtual and augmented reality: Advancing research in consumer marketing

Open access
Wedel, Michel, Bigné, Enrique, Zhang, Jie·2020·International Journal of Research in Marketing

Abstract

Abstract Virtual reality (VR) and augmented reality (AR) technologies are having a profound impact on a variety of marketing practices and are attracting increasing attention from marketing researchers. In this article, we review developments in VR/AR applications and research in the area of consumer marketing. We propose a conceptual framework for VR/AR research in consumer marketing that centers around consumer experiences provided by VR/AR applications along the customer journey and the effectiveness of such applications, and delve into the key concepts and components of the framework. Next, we provide a comprehensive overview of VR/AR applications in current practices and extant research on VR/AR in consumer marketing. Finally, based on this framework, we offer an outlook for future developments of VR/AR technologies and applications, discuss managerial implications, and prescribe directions for research on consumer marketing.

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Registry

Crossref · 10.1016/j.ijresmar.2020.04.004

Cites

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Metadata

Authors
Wedel, M., Bigné, E., & Zhang, J.
Venue
International Journal of Research in Marketing
Publisher
Elsevier BV
Published
2020-09
Volume
37
Issue
3
Pages
443-465
ISSN
0167-8116 (ISSN-L)
OpenAlex
W3036638150
Cited by
565
References
133
FWCI
23.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Virtual and augmented reality: Advancing research in consumer marketing. https://app.cochat.ai/papers/10.1016/j.ijresmar.2020.04.004
The paper
Wedel, M., Bigné, E., & Zhang, J. (2020). Virtual and augmented reality: Advancing research in consumer marketing. International Journal of Research in Marketing. https://doi.org/10.1016/j.ijresmar.2020.04.004

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.