Although tourist feedback has been extensively examined through customer satisfaction, service quality, destination image, and electronic word-of-mouth, its role in the continuous regulation of tourism service systems remains comparatively underexplored.
This study adopts a qualitative case study design based on 262 publicly available TripAdvisor reviews posted between 2022 and 2025 for a five-star hotel in Uludag, Türkiye. Reviews were analysed using an iterative thematic coding procedure supported by MAXQDA 2020, qualitative and mixed-methods data analysis software. The resulting thematic relationships were interpreted through organisational cybernetics, with particular emphasis on homeostasis, requisite variety, intrinsic control, and adaptive regulation. Given its single-case, review-based design, the study seeks analytical rather than statistical generalisation.
The findings indicate that tourist feedback functions as recursive regulatory information rather than merely as post-consumption evaluation. Visitor-generated feedback enables organisations to detect operational disturbances, interpret service conditions, support adaptive decision-making, and continuously regulate service delivery. The analysis shows that adaptive regulation emerges through the interaction of multiple cybernetic mechanisms rather than isolated managerial actions.
This study develops the Cybernetic Service Regulation Model to explain how visitor-generated feedback functions as recursive regulatory information supporting adaptive service regulation within winter tourism systems. By extending both tourism systems research and organisational cybernetics, the model provides a theoretical explanation of how continuous feedback contributes to organisational learning, adaptive decision-making, and long-term organisational viability.
