Study goals
Analyze tourism as a system, linking classical General Systems Theory models with the impacts of emerging technologies, identifying how big data analytics, artificial intelligence, spatial analysis, and blockchain reconfigure components, flows, information, and governance in the tourism system.
Relevance / originality
Updates the systemic approach to tourism by integrating recent evidence on emerging technologies. Proposes a conceptual framework connecting structural elements and technological mechanisms, addressing a literature gap on the interaction between classical models and digital innovations in the field.
Methodology / approach
Structured narrative review of a closed corpus (18 documents) combining systemic tourism models and recent literature on emerging technologies. Standardized extraction and textual synthesis connected model, technological mechanism, and systemic effect, emphasizing conceptual integration and identifying propositions for future research.
Main results
Emerging technologies reduce informational delays, strengthen feedback loops, reveal spatial substructures, and enhance coordination through blockchain. Classical models remain valid but require updating to incorporate digital mechanisms, showing convergences and tensions between theoretical traditions and contemporary transformations in the tourism system.
Theoretical / methodological contributions
Integrates systemic models and emerging technologies in a conceptual synthesis, updating categories and functions of the tourism system. Proposes testable propositions for future research, reinforcing the relevance of the systemic perspective adapted to digital contexts and high-connectivity informational environments.
Social / management contributions
Supports managers and policymakers in incorporating emerging technologies into tourism planning and governance, enabling real-time monitoring, transparency, and coordination among actors, resulting in greater efficiency, resilience, and sustainability of tourism destinations.