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Tourism and Hospitality

Tourism and Hospitality is an international, peer-reviewed, open access journal on all aspects of tourism and hospitality, published monthly online by MDPI.

All Articles (516)

To address the pervasive challenges of resource inefficiency and static management in the hospitality sector, this study proposes a novel management framework that synergistically integrates Model Predictive Control (MPC) with Green Human Resource Management (GHRM). Methodologically, the framework establishes a dynamic closed-loop architecture that cyclically links environmental sensing, predictive optimization, plan execution and organizational learning. The MPC component generates data-driven forecasts and optimal control signals for resource allocation. Crucially, these technical outputs are operationally translated into specific, actionable directives for employees through integrated GHRM practices, including real-time task allocation via management systems, incentives-aligned performance metrics, and structured environmental training. This practical integration ensures that predictive optimization is directly coupled with human behavior. Theoretically, this study redefines hospitality operations as adaptive sociotechnical systems, and advances the hospitality energy-saving management framework by formally incorporating human execution feedback, predictive control theory, and dynamic optimization theory. Empirical validation across a sample of 40 hotels confirms the framework’s effectiveness, demonstrating significant reductions in daily average water consumption by 15.5% and electricity usage by 13.6%. These findings provide a robust, data-driven paradigm for achieving sustainable operational transformations in the hospitality industry.

15 January 2026

Schematic diagram of the proposed four-phase management framework: Phase I: Data Acquisition, Phase II: Factor Identification and Quantification, Phase III: Optimization and Prediction, and Phase IV: Strategy Execution and Learning.

International shopping is a significant motive for outbound travel; however, evidence on the experiential drivers of luxury travel retail among Chinese luxury travelers remains limited. This study investigates the factors shaping overseas shopping experiences and assesses the adequacy of the luxury customer experience (LCX) framework in this episodic, time-constrained, cross-border context. A quantitative survey of Chinese luxury travelers (N = 407) was conducted and analyzed using IBM SPSS Statistics (Version [30.0], Mac) within the LCX framework. The results show that modern artistic visual merchandising positively predicts overall experience evaluation (β = 0.162, p < 0.001), and emotional connection significantly predicts repurchase intention (β = 0.197, p < 0.001). We find that overall experience evaluation and subsequent behavioral responses are shaped by specific drivers, including service-related post-purchase factors, emotional fulfillment and brand trust, visual appeal, and affective/cognitive evaluations. These results point to possible gaps in theory when LCX is used in short-term travel retail contexts. To address these gaps, we propose the transient experience, relationship quality, action outcomes, connection, and engagement (TRACE) conceptual framework for analyzing feedback-driven encounters throughout the travel experience. Overall, this study extends LCX to episodic, time-constrained contexts and introduces TRACE as a conceptual complementary model to guide future theory testing and model validation in luxury travel retail contexts.

15 January 2026

Research model aligned with the SOR framework. Note: TRACE is presented as a conceptual organizing lens; the integrated TRACE structure is not empirically estimated in this study. The figure summarizes hypothesized relationships tested in H1-H6 and their alignment with the SOR logic in episodic travel retail encounters.

The gastronomic identity represents a blend of tradition, local resources, and cultural values that shape the authenticity and distinctiveness of a region’s gastronomy. Mačva, as an area in western Serbia, possesses an exceptionally rich gastronomic heritage whose tourism potential has not been sufficiently valorized. The subject of this research is the examination of the gastronomic identity of Mačva, and the purpose of the study is to determine how domestic tourists perceive the region’s gastronomic identity, which factors shape this identity, and the extent to which socio-demographic and perceptual characteristics influence the likelihood of purchasing traditional food products. The aim of this research is to develop an analytical framework to identify the key factors shaping the gastronomic identity of the Mačva region and to examine their influence on domestic tourists’ perceptions and consumer behavior related to the consumption and purchase of traditional food. The data were processed using exploratory factor analysis and binary logistic regression. The results indicate that respondents recognize the gastronomic culture of Mačva as an important component of the region’s cultural identity. The factor structure confirmed a three-dimensional model of gastronomic identity, comprising cultural–gastronomic heritage, authenticity and the promotion of gastronomy, and the region’s economic and social development. The results suggest that tourists’ intention to purchase traditional products is shaped by selected socio-demographic and perceptual factors, particularly gender and perceptions of gastronomy as a driver of economic and social development. The findings highlight the need for a differentiated approach to the development and positioning of the gastronomic offer, which may serve as a basis for formulating strategies for the development and branding of the Mačva region.

13 January 2026

Geographic overview of the Mačva District. Source: authors’ analysis.

The present study employs cluster analysis to segment Bulgarian domestic tourists based on microdata from a nationally representative survey (n = 1003) of summer holidaymakers on the Black Sea coast destinations. The primary objective is to identify homogeneous groups of tourists with similar demographic and behavioural characteristics, thereby enabling the development of more targeted tourism policies and marketing strategies. The methodological framework includes both hierarchical and non-hierarchical (k-means) clustering, applied to standardized variables such as age, household size, satisfaction with various aspects of the tourist experience, and behavioural intentions. The analysis reveals four distinct tourist profiles, each characterized by specific patterns of evaluation and travel behaviour—retirement age loyalists, middle-aged sceptics, younger moderate enthusiasts and young high loyalists. The findings reveal the heterogeneity of the domestic tourism market in Bulgaria and provide a data-driven foundation for enhancing the effectiveness of tourism management and promotional efforts.

12 January 2026

Overnight Stays by domestic and international visitors. Source: National Statistical Institute (NSI, 2025).

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Tour. Hosp. - ISSN 2673-5768