International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 128, P. 104195 - 104195
Published: March 21, 2025
Language: Английский
International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 128, P. 104195 - 104195
Published: March 21, 2025
Language: Английский
Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 771 - 771
Published: Jan. 20, 2025
Adaptation to climate change in vulnerable tourism destinations, particularly desert regions, requires a systematic understanding of tourists’ psychological responses and behavioral adaptations. This study develops empirically validates an integrated theoretical framework combining the Theory Planned Behavior Protection Motivation examine determinants tourist adaptation Iran’s regions. The research systematically evaluates relationships between risk perception, assessment, beliefs, outcomes through structural equation modeling analysis data collected across three destinations Qom Province. Results demonstrate that motivation (β = 0.416, p < 0.001) beliefs 0.158, significantly influence intentions, while subjective norms show no significant effect despite collectivist cultural context. model explains 38.6% variance intentions 21.0% maladaptive behaviors, revealing differential predictability positive negative responses. Analysis indicates immediate experiential factors more decisive than abstract suggesting context-specific mechanisms settings. advances behavior providing evidence-based recommendations for destination management climatically findings inform development targeted communication strategies interventions balance environmental awareness with attractiveness, contributing sustainable development.
Language: Английский
Citations
1Journal of Foodservice Business Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28
Published: Jan. 27, 2025
Language: Английский
Citations
0EPJ Web of Conferences, Journal Year: 2025, Volume and Issue: 321, P. 03004 - 03004
Published: Jan. 1, 2025
Intelligent analysis of dysfunctions the institutional system human capital development is an iterative process extracting useful information and decision-making templates from organized or unorganized arrays big data different formats. However, existing algorithms approaches to intelligent cannot be applied solving problems effective implementation innovation programs, since they have a specific goal aimed at creating results intellectual activity. As methodological basis for in digital economy, it proposed use ensembles decision trees models Markov together. A software analytical toolkit forecasting time series based on neural structures has been developed. For national system, multi-step trend performed horizons economy determined.
Language: Английский
Citations
0International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 128, P. 104195 - 104195
Published: March 21, 2025
Language: Английский
Citations
0