Augmented reality in retail: technical and emotional factors after experience. e-Commerce consumption decision

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Autor(es): dc.creatorGary, Joston-
Autor(es): dc.creatorXixing, Zhou-
Autor(es): dc.creatorTang, Yuk Ming-
Autor(es): dc.creatorYang, Gu-
Autor(es): dc.creatorMoreira, Antonio-
Data de aceite: dc.date.accessioned2026-08-11T12:33:08Z-
Data de disponibilização: dc.date.available2026-08-11T12:33:08Z-
Data de envio: dc.date.issued2026-01-16-
Data de envio: dc.date.issued2026-01-16-
Data de envio: dc.date.issued2025-11-27-
Data de envio: dc.date.issued2026-01-15-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/20965-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/20965-
Descrição: dc.descriptionRetail 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.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Palavras-chave: dc.subjectAugmented reality-
Palavras-chave: dc.subjectAnticipated emotions-
Palavras-chave: dc.subjectInspiration-
Palavras-chave: dc.subjectNonlinear exploration-
Palavras-chave: dc.subjectClustering algorithm-
Título: dc.titleAugmented reality in retail: technical and emotional factors after experience. e-Commerce consumption decision-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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