Short-form destination videos often rely on music to carry cultural meaning. This paper links Cognitive Metaphor Theory with the circumplex dyad of pleasure and arousal to explain how music–image pairings build destination brand resonance (DBR). Three experiments show that pleasure is the stable route to DBR, arousal helps only under favorable tone, and their effects are additive. A Meaning-Access Prime (MAP) raises both emotions under identical clips and, in Bayesian structural models, also exerts a direct path to DBR, strongest when pleasant tone is low. DBR then predicts destination brand identification and destination consumption intention. We also show a useful state view: Resonant versus Emergent DBR. The framework provides design rules for co-tuning tone, activation, and cultural cues in creator-made clips that improve resonance, identification, and intention.

This study investigates the potential of Artificial Intelligence (AI) to foster sustainable tourism practices that align with the Sustainable Development Goals (SDGs). It employs the SPAR-4-SLR protocol to conduct a systematic literature review (SLR) of 76 Q1 peer-reviewed articles identified in Web of Science and Scopus to determine the contribution of AI to environmental, social and economic sustainability. Four thematic areas emerged: (1) co-creation of value and sustainability in supply chains; (2) AI, service innovation and sustainable transitions; (3) AI, experience and governance in sustainable tourism; and (4) technology, nature and emerging frontiers. Results indicate that AI improves the sustainability process by making operations more efficient and sustainable and promotes ethical governance, inclusivity and innovation. A framework presents the interaction of AI-driven transformation, governance and ethical practices to foster a sustainable environment, contribute to SDGs 8, 9, 11, 12 and 13, and help improve SDGs 5, 7, 10, 14, 15 and 17. The study’s research agenda includes evaluating the long-term purposes of AI adoption, adoption barriers, implementation in less developed destinations and the enhancement of AI-oriented forecasting models. It provides original insights into the intersection of AI and sustainable development within tourism, providing actionable knowledge for academics, policymakers and practitioners seeking to harness AI for advancing sustainable tourism.

Retail 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.

Este estudio analiza la relación entre la calidad de la información financiera (QFI) y la probabilidad de deterioro empresarial en el sector de fabricación de alimentos en la Unión Europea (UE), considerando determinantes internos como antigüedad, tamaño, liquidez, rentabilidad de los activos y nivel de endeudamiento, así como factores externos como el producto interior bruto y la tasa de desempleo. Se utiliza un modelo de regresión logística aplicado a un panel equilibrado de 335 grandes empresas del sector entre 2011 y 2021. La QFI se estima mediante devengos discrecionales basados en el modelo de Jones (1991), mientras que el deterioro empresarial se mide a través de fluctuaciones en las ventas. Los resultados muestran que una baja calidad de la información financiera, reflejada en mayores devengos discrecionales, se asocia positivamente con el declive corporativo. Esto resalta la importancia de la transparencia y la precisión de los informes financieros para la sostenibilidad empresarial. Asimismo, se evidencia que las prácticas de gestión de beneficios incrementan la vulnerabilidad de las empresas, lo que refuerza la necesidad de un mayor control regulatorio. El estudio sugiere fortalecer los requisitos de divulgación financiera para limitar estas prácticas y mejorar la asignación de recursos. Esta investigación contribuye a la escasa literatura sobre la relación entre la calidad de la información financiera y el deterioro empresarial, especialmente en el sector de la fabricación de alimentos, ofreciendo nuevas perspectivas sobre el impacto de la gestión de beneficios en el fracaso corporativo.