How Augmented Reality Increases Engagement Through Its Impact on Risk and the Decision Process.

augmented reality comfort confidence engagement metaverse perceived risk

Journal

Cyberpsychology, behavior and social networking
ISSN: 2152-2723
Titre abrégé: Cyberpsychol Behav Soc Netw
Pays: United States
ID NLM: 101528721

Informations de publication

Date de publication:
Mar 2023
Historique:
pubmed: 28 1 2023
medline: 10 3 2023
entrez: 27 1 2023
Statut: ppublish

Résumé

Augmented reality (AR) overcomes one of the main limitations of e-commerce, such as the prepurchase trial. The consumer can virtually see how a product is integrated into the real world through this technology. Therefore, AR may reduce the perceived risk of buying a product online. Despite existing research, the impact of AR on the consumer decision process needs to be further explored. Consequently, this research aims to understand the impact of AR on the perception of risk and the purchase decision process, considering decision comfort and decision confidence. Through a between-subjects experiment, the results show that AR reduces the risk of online shopping. However, it has no direct effect on the decision process. Reducing risk and the comfort it brings generates decision confidence and satisfaction with the shopping experience. This satisfaction will generate engagement toward the online shop platform. The research highlights the process through which AR impacts the decision-making process. The implications for AR marketing theory and managerial implications in the age of the metaverse are discussed.

Identifiants

pubmed: 36706429
doi: 10.1089/cyber.2022.0087
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

177-187

Auteurs

Sergio Barta (S)

Department of Marketing Management and Market Research, University of Zaragoza, Zaragoza, Spain.

Raquel Gurrea (R)

Department of Marketing Management and Market Research, University of Zaragoza, Zaragoza, Spain.

Carlos Flavián (C)

Department of Marketing Management and Market Research, University of Zaragoza, Zaragoza, Spain.

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Classifications MeSH