21. An enjoyment-focused social identity intervention to reduce buffet plate wasteAnna K. Zinn, Sarah MacInnes, Oscar Yuheng Zhu, Sara Dolnicar, 2025, izvirni znanstveni članek Opis: Buffets produce substantial plate waste, which is environmentally harmful and unnecessary. Dominant approaches of environmental beliefs messaging have limited effectiveness in reducing plate waste. We test a novel intervention in the form of a world map game which leverages enjoyment and social identity salience. In a 2 (map intervention vs no map intervention) × 2 (beliefs messaging vs no beliefs messaging) between-subjects design (N = 400) we used a virtual buffet scenario to measure plate waste intentions implicitly. The world map game significantly reduced the number of calories added to a virtual plate (implicit measure) and increased intentions to leave zero plate waste (explicit measure) for both participants and their children (as reported by parents). In contrast, beliefs messaging did not significantly affect these measures. In a second experiment (N = 400) we (1) replicated the effectiveness of the novel intervention; (2) confirmed underlying theoretical mechanisms (identity salience and beliefs) by assessing the effect of the interventions on theoretical constructs. Beliefs messaging showed a significant effect on plate waste intentions for participants but not for their children. The map intervention increased positive affect (feeling more entertained, enthusiastic, and inspired), whereas the beliefs messaging decreased positive affect and increased negative affect (feeling more upset, irritable, distressed, and ashamed). Our results suggest that identity salience can be a strong leverage point to reduce plate waste. Practically, we introduce a promising new plate waste intervention which has potential to be more effective than common messaging approaches and does not negatively affect emotions.
Objavljeno v RUP: 03.02.2026; Ogledov: 307; Prenosov: 4
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22. Economic leakage to reservation platforms : NorwayStefan Gössling, Andreas Humpe, Kristin Løseth, Hans Jakob Walnum, Ya-Yen Sun, Sara Dolnicar, Ove Oklevik, Leif Egil Hem, Nina M. Iversen, 2025, izvirni znanstveni članek Objavljeno v RUP: 02.02.2026; Ogledov: 308; Prenosov: 3
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23. Environmental beliefs, childhood behavior or habits - which best explains adult pro-environmetal behavior on vacation?Sarah MacInnes, Bettina Grün, Sara Dolnicar, 2025, izvirni znanstveni članek Opis: Tourist behaviour contributes significantly to the industry’s environmental burden and, therefore, must change. However, currently dominant environmental belief-based theories of pro-environmental tourist behaviour fail to consistently generate successful behaviour change interventions. Childhood behaviour offers a promising alternative. If childhood behaviour leads to adult habits, childhood may represent a critical time for instilling pro-environmental tourist habits. Using self-report adult habit strength, environmental beliefs, and behaviour across adulthood and childhood, this study reveals that self-reported childhood behaviours are indeed positively associated with adult habits, and such habits explain 41 % of variance of general pro-environmental behaviour in adulthood vacations, compared to 3 % explained by environmental beliefs. For recycling, conserving water and energy, and reducing food waste, results are similar – substantially favouring habits over environmental beliefs. This study points to a potential new approach for tourism professionals to influence tourists’ pro-environmental behaviour – by building habits in childhood, and breaking or reinforcing them in adulthood.
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24. EcoShower : estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer modelsLukas Sablica, Bettina Grün, Siamak Layeghy, Sara Dolnicar, Marius Portmann, 2025, izvirni znanstveni članek Opis: This paper tackles the challenge of accurately estimating shower duration from non-intrusive multi-modal sensor data to facilitate efficient water management. Efficient water usage is a critical environmental challenge, and showering contributes significantly to domestic water consumption. Developing accurate, accessible monitoring solutions is essential for promoting sustainability. Utilizing data from humidity, temperature, sound average, and sound peak sensors, we explore suitable data processing steps and the application of machine learning models to estimate shower duration. Our approach includes the design of a bidirectional Long Short- Term Memory model and the application of an existing Gated Transformer Network model to address the multivariate time series classification task. Our analysis reveals that both models are highly effective in this context, also compared to baseline models, and humidity emerges as a particularly powerful predictor either on its own or when combined with the temperature sensor. This work not only showcases the potential of using machine learning methods for multivariate time series classification in the domain of water consumption but also underscores the implications for adopting such technologies in promoting sustainable water use.
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25. Tourist accommodation choices in nature-based destinations : the case of geotourism destination Kras/CarsoDejan Paliska, Gorazd Sedmak, 2025, izvirni znanstveni članek Opis: This paper explores the relationship between accommodation choices and visitor interests, and characteristics in the emerging cross-border Karst Geopark, a geologically rich nature-based destination. It examines how demographics, interests, and activity prefer- ences influence lodging decisions. Findings indicate that older visitors, women, and repeat tourists favor agritourism, whereas first-time and cross-border travelers prefer private rooms for greater flexibility. Additionally, interests in geotourism and cycling significantly shape accommodation preferences. The study highlights the need for destination man- agers and accommodation providers to tailor offerings to visitor expectations, enhancing tourism benefits. Methodological limitations, including sample imbalance and overlooked external factors, are discussed, with recommendations for future research to refine pre- dictive models and incorporate supply-side attributes. These insights provide valuable guidance for policymakers and tourism stakeholders in developing targeted, sustainable accommodation strategies.
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