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Augmented reality in retail

dc.contributor.authorGary, Joston
dc.contributor.authorXixing, Zhou
dc.contributor.authorTang, Yuk Ming
dc.contributor.authorYang, Gu
dc.contributor.authorMoreira, Antonio
dc.date.accessioned2026-01-17T15:31:03Z
dc.date.available2026-01-17T15:31:03Z
dc.date.issued2025-11-28en_US
dc.date.updated2026-01-16T15:44:29Z
dc.description.abstractRetail practice shows that augmented-reality shopping applications with similar technical quality can elicit widely different consumer reactions. This study proposes a dual-pathway Stimulus–Organism–Response model: a technical pathway linking augmented realism, information richness, and personalization to interaction satisfaction, and an emotion-priming pathway where anticipated emotions shape immersion, telepresence, and pleasure without technical appraisal. Both converge at inspiration, the sole System-2 construct converting experience into behavior. Data from quasi-experimental participants were analyzed using PLS-SEM, SHAP-interpreted gradient boosting, and K-Means robustness checks. Information richness showed the strongest technical effect, while anticipated emotions most strongly affected immediate experiences. Inspiration predicted purchase and cross-buying intentions. Machine-learning diagnostics supported the framework and revealed non-linear thresholds in key pathways, clarifying inconsistent AR outcomes and positioning inspiration as the cognitive bridge to purchase.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.4018/jgim.394246en_US
dc.identifier.issn1062-7375en_US
dc.identifier.issn1533-7995en_US
dc.identifier.slugcv-prod-4629840
dc.identifier.urihttp://hdl.handle.net/10400.2/20965
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAugmented reality
dc.subjectAnticipated emotions
dc.subjectInspiration
dc.subjectNonlinear exploration
dc.subjectClustering algorithm
dc.titleAugmented reality in retailen_US
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage60
oaire.citation.issue1en_US
oaire.citation.startPage1
oaire.citation.titleJournal of Global Information Managementen_US
oaire.citation.volume33en_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMoreira
person.givenNameAntonio
person.identifier.orcid0000-0002-6613-8796
rcaap.cv.cienciaid541F-5442-5666 | António Carrizo Moreira
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublication51ad303d-335c-4e2f-bae3-fffffef2e2f5
relation.isAuthorOfPublication.latestForDiscovery51ad303d-335c-4e2f-bae3-fffffef2e2f5

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