Tourism and Hospitality

We propose an Energy Index to assess how destinations influence visitor well-being by integrating objective environmental conditions, management practices, cultural–spiritual significance and reported emotional experience. Methodologically, the framework of the index builds on a composite-indicator approach that integrates heterogeneous data types–quantitative environmental variables (e.g., air quality, noise, geomineral resources), qualitative assessments of governance and tourism infrastructure, heritage and symbolism indicators, and survey-based/AI-assisted sentiment measures. Indicators are normalized and weighted to produce a composite score. Sensitivity checks are applied to assess the robustness of indicator selection. The model adopts a formative, partially compensable logic that preserves conceptual differentiation across components. Applied to Petrich (Bulgaria)—including locations such as Rupite and the Belasitsa area—the index demonstrates how geothermal assets, environmental quality, and cultural meaning can be translated into actionable metrics for destination management and branding. The approach offers a scalable tool for wellness destinations seeking evidence-based positioning and capacity management.

Tourism destinations exposed to chronic natural hazards require robust analytical frameworks to understand and prioritize the factors that sustain post-disaster resilience. This study examines Baños de Agua Santa (Ecuador), a volcano-exposed destination whose long recovery trajectory illustrates the complexity of socio-ecological adaptation. Using a multidimensional FAHP model grounded in expert judgments, eight dimensions and fifty-six criteria were evaluated through fuzzy triangular numbers and the extended analysis method of Chang to capture uncertainty and ambiguity in decision-making. Results show a consistent and hierarchical structure of resilience, with experiential, economic-entrepreneurial, and socio-community dimensions emerging as the most influential drivers of post-disaster adaptability. Fifteen criteria—primarily perceptual, community-based, and endogenous—achieved “very high impact” status, including risk perception, basic education, individual resilience capacities, institutional coordination, and entrepreneurial environment. Conversely, limited healthcare infrastructure, low economic diversification, and national-level vulnerabilities were identified as critical weaknesses. The study concludes that post-disaster recovery in Baños is shaped by a bottom-up dynamic that emphasizes agency, learning and socio-ecological memory. It also proposes an evidence-based Action Matrix for adaptive governance to guide prioritized, time-phased interventions. The FAHP model proves effective for transparent, context-sensitive prioritization in highly uncertain tourism environments.

This study examines why consumers intend to visit restaurants recommended by food influencers on social media. Grounded in the Theory of Planned Behavior (TPB) and social influence mechanisms, we test an extended TPB model in which trust in the influencer is incorporated as an additional antecedent of intention and as a mediating mechanism linking influencer–follower identification to visit intention. To obtain information, a structured questionnaire was administered to a sample of 474 Ecuadorian social media users who follow at least one gastronomic influencer. Hypotheses were assessed using partial least squares structural equation modeling (PLS-SEM) and predictive assessment (PLSpredict). The results show that attitude toward recommendations and perceived control exert a significant effect on intention, while subjective norms have a more moderate influence. Trust is projected as an additional facilitator in the transition from evaluation to intention, indicating that parasocial affinity translates into intended behavior only when it is accompanied by perceived credibility. The study contributes to TPB and influencer marketing by clarifying how influencer-mediated digital recommendation contexts reshape the classic TPB mechanism and by specifying trust as the key bridge between identification and behavioral intention in a high-uncertainty gastronomic decision.