2025 Issue №2

Artificial intelligence (AI) technologies are increasingly contributing to hotel branding initiatives within the hospitality industry. This study investigates the potential applications of AI in the hospitality sector, using the hotel services industry as a case study. A generative AI chatbot (ChatGPT 4, YandexGPT 2) was employed to model hotel branding based on a set of predefined parameters, focusing on two historic districts of Kaliningrad. The results indi­cate that the architectural styles and hotel designs generated by AI largely aligned with the intended concepts of the historic sites and could be successfully integrated into the contempo­rary architectural landscape of Kaliningrad. Additionally, the hotel names proposed by AI were consistent with the descriptions of the districts and took into account historical charac­teristics. However, identified limitations included insufficient consideration of the geographic features and urban planning restrictions of the selected areas. The article offers recommenda­tions for crafting effective AI prompts to obtain more accurate results in hotel design and highlights the significant potential of AI technologies to advance the hospitality industry.

Migration flows across Russia are highly heterogeneous: some areas are characterized as depressed, repelling population outflows, while others serve as "migration centers" that at­tract large numbers of residents. The migration appeal of such centers is often determined by specific factors related to their economic and geographical position, including proximity to major urban agglomerations and coastal locations, the presence of large industrial and pro­duction hubs, extensive transportation networks, and borderland positions. The combination of these factors in different parts of a region enhances its migration attractiveness and deter­mines its sustainability. The aim of this study is to examine the spatial structure of migration attractiveness in three Russian regions with stable migration growth — Kaliningrad and Leningrad Oblasts and Krasnodar Krai — through an analysis of how economic and geo­graphical factors influence migration patterns, using a multi-scale approach. The study draws on data from Rosstat for the period 2011—2023. The findings indicate that the highest levels of migration attractiveness are observed in the capital agglomerations and coastal municipali­ties. Industrial and production centers also exert a significant influence on migration attrac­tiveness, particularly in areas distant from major urban agglomerations. Additionally, clus­ters of the resort and sanatorium industries and major transportation hubs contribute posi­tively to migration appeal. Sea-oriented industries help to mitigate negative migration trends, while proximity to borders and the presence of automobile and railway transportation net­works have a limited impact on municipal attractiveness.

Currently, significant attention is being devoted at various levels of government to the development of civil society, with support directed toward projects initiated by non-profit organizations (NPOs), local communities, and territorial public self-government bodies (TPSGs). A key requirement for these projects is the direct involvement of citizens in the pro­cesses of discussion, decision-making, and project implementation. This article analyzes the historical development of TPSGs in Russia, noting a renewed interest in this form of organi­zation following 2015, reflected particularly in the active emergence of new TPSGs. The study compares TPSGs as a form of local self-organization with other formats, including NPOs. The authors conclude that, while there are several differences between TPSGs and NPOs, the primary distinction lies in their foundational principles: NPOs are formed around a common goal (tasks or problems to be addressed), whereas TPSGs are based on territorial affiliation. Empirical findings indicate that in the Kaliningrad region, a modern wave of TPSG formation began in 2017, with the number of TPSGs increasing from 3 to 56 between 2020 and 2024. At present, there is a high density of TPSGs (number per 10,000 inhabitants) in rural and peripheral municipalities. Furthermore, for most peripheral municipalities in the Kaliningrad region, a high level of TPSG presence correlates strongly with a significant number of socially oriented non-profit organizations (SONPOs).