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Abstract: This study conducts a bibliometric and systematic literature review (SLR) of luxury tourism research, analysing 72 Scopus-indexed articles from 2000 to 2025. The findings reveal a growing interest in luxury tourism, with publication peaks in 2024 (14 articles) and notable growth between 2022 and 2023. Italy leads in research output (8 articles), followed by the UK, New Zealand, and China (7 each), while developing nations like Indonesia remain underrepresented. Thematic analysis identifies key clusters, including socio-economic impacts, luxury consumer behaviour, and sustainability in hospitality. Research predominantly employs qualitative methodology (38 studies) as the primary data collection tool. Emerging trends emphasize digitalization, sustainability, and experiential luxury tourism, with increasing use of AI, machine learning, and social media analytics. The study highlights the multidisciplinary nature of luxury tourism, intersecting with business, social sciences, and environmental studies. Mixed-method approaches are gaining traction, blending qualitative depth with quantitative generalizability. Key challenges include balancing luxury tourism’s economic benefits with sustainability and addressing infrastructural gaps in emerging destinations. The VOSviewer analysis underscores global research collaborations, with Europe and Asia as dominant contributors. Practical implications suggest that stakeholders should prioritize sustainable practices, digital marketing, and personalized experiences to cater to luxury tourists. Future research should explore developing markets, cultural influences, and policy impacts to enrich the global understanding of luxury tourism dynamics.
Keywords: luxury tourism, bibliometric analysis, systematic literature review, PRISMA, digitalization, consumer behaviour
Published in RUP: 20.01.2026; Views: 19; Downloads: 0
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Abstract: Despite growing concern over sustainability, value–behaviour inconsistencies remain widespread in tourism, highlighting a need for conceptual clarity. Therefore, an inductive thematic synthesis was utilized to analyse how cognitive dissonance is conceptualized, triggered, and resolved across various green tourism contexts. Three thematic main strands emerged: (1) value–behaviour inconsistency, (2) green identity and group influence, and (3) situational constraints and greenwashing. Tourists often maintain a green self-image despite contradictory behaviour, influenced by group norms, destination cues, and infrastructural limitations. The findings highlight that destination managers and marketers must reduce behavioural friction and ensure that sustainability claims are authentic and actionable. Theoretically, the revew contributes a conceptual map of cognitive dissonance in green tourism, highlighting how dissonance emerges and is managed.
Keywords: cognitive dissonance, green tourism, sustainable tourist behaviour, value–behaviour gap, pro-environmental travel
Published in RUP: 20.01.2026; Views: 24; Downloads: 0
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Abstract: The study aims to empower hotel operators in prospective tourist spots, aiding informed decision-making in navigating the dynamic hospitality landscape. The study investigates challenges in the hotel industry to aid practitioners and researchers. It combines secondary data from expert blogs and research articles with primary data from 230 Indian hotel managers surveyed via a Likert scale questionnaire from January to March 2024. Validity and reliability are ensured through first-order constructs. Data analysis utilizes SPSS-22 for exploratory factor analysis and Amos17 for confirmatory factor analysis. Theoretical frameworks from prior literature were examined to inform the selection of variables. A two-part questionnaire was devised to gather demographic information, years of experience, etc., followed by a section employing a 5-point Likert scale to explore our proposed hypothesis. Initially identifying twenty-seven global challenges, the study highlights three key factors – marketing, operational, and human resources – relevant to the Indian context, encompassing 25 specific challenges. Notably, challenges in the Economic/Financial Factor show low manifestation in India. The study emphasizes the burgeoning tourism potential in Eastern India and the proactive measures taken by hotel industries to meet global guest demands. While Eastern India is the primary focus, insights extend to emerging tourist destinations worldwide.
Keywords: hotel industry, challenges, EFA, CFA
Published in RUP: 20.01.2026; Views: 23; Downloads: 0
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Abstract: Sustainability is a core and primary outcome of place attachment studies, an increasingly popular research topic in the tourism industry. It is a significant concern in daily life because of social and environmental issues and the need to preserve legacy and facilities to maintain tourism destinations. In this study, the Scopus database and keywords related to place attachment, sustainability, and tourism were used to identify the papers. The result revealed that 720 papers were found in the Scopus database from 1988 to 2023. After filtering the data, only 448 papers were included for further analysis. In this study, authors use the bibliometrics analysis technique, VOSviewer, and RStudio software to quantify and visualise the existing literature on place attachment and sustainability and evaluate the main overview of the research summary. This study aims to present a bibliometric overview of place attachment towards sustainability in tourism research. The study employed co-occurrence of keywords, most prolific authors, most cited countries, most cited articles, and co-authorship by country analyses. The findings show significant growth in the field of place attachment and sustainability research, including authors, significant journals, research papers, and countries.
Keywords: place, place attachment, sustainability, tourism, bibliometric analysis
Published in RUP: 20.01.2026; Views: 14; Downloads: 0
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Abstract: The present paper aims to investigate the factors that influence the achievements of Italian students on the National Mathematics Assessment INVALSI. The study is a quantitative non-experimental research and utilizes the Decision Tree Method (DTM), a data mining and machine learning approach, to analyze the relationships and interactions among the variables and their influence on students’ mathematics performance. The sample for the study consists of 15,344 grade-10 students who took the INVALSI test in the school year 2021/22. Findings show that school typology had the highest relative importance, followed by students’ school grades in mathematics, socioeconomic status, geographic macroregion, gender, age, and, finally, origin. Based on these results, policymakers and educators should prioritize interventions that enhance educational environments and individual academic proficiency, particularly focusing on school type, mathematics grades, and students’ ESCS, to improve student achievements and promote deeper learning.
Keywords: INVALSI, decision tree, cross-validation, mathematics
Published in RUP: 19.01.2026; Views: 64; Downloads: 7
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