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Keywords: Marco SOR
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Aims to advance the understanding of tourism and to enhance the impact and relevance of tourism research to global society at large.
Journal Articles
Images
in Adopting service robots in tourism and hospitality: the perspective of perceived coolness
> Tourism Review
Published: 24 June 2026
Figure 1 Research model Source: Created by authors A conceptual diagram links robot anthropomorphism and robot intelligence to perceived coolness, customer delight and continued intention. The conceptual diagram contains H S M on the left, with Robot anthropomorphism under Heuristic factor ... More about this image found in Research model Source: Created by authors A conceptual diagram links ...
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in Adopting service robots in tourism and hospitality: the perspective of perceived coolness
> Tourism Review
Published: 24 June 2026
Figure 2 Structural model Source: Created by authors A path diagram links robot anthropomorphism and robot intelligence to perceived coolness, customer delight and adoption intention. The path diagram has five oval nodes. Robot anthropomorphism links to Perceived coolness with 0.450 triple ... More about this image found in Structural model Source: Created by authors A path diagram links robo...
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in Adopting service robots in tourism and hospitality: the perspective of perceived coolness
> Tourism Review
Published: 24 June 2026
Figure 3 Visualization of the moderating effect Source: Created by authors A line graph plots adoption intention by perceived coolness, with higher values for high face consciousness than low face consciousness. The line graph plots low perceived coolness and high perceived coolness on the ... More about this image found in Visualization of the moderating effect Source: Created by authors A l...
Journal Articles
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in Personalized messaging for on-the-go tourists: a heuristic approach to designing less intrusive content
> Tourism Review
Published: 05 June 2026
Figure 1 Conceptual model Source: Authors’ own work A conceptual model illustrating the effect of various heuristic cues through privacy calculus process of onthe-go tourists when evaluating personalized message content. The conceptual framework diagram illustrates relationships among scarc... More about this image found in Conceptual model Source: Authors’ own work A conceptual model illustr...
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in Personalized messaging for on-the-go tourists: a heuristic approach to designing less intrusive content
> Tourism Review
Published: 05 June 2026
Figure 2 The interactional effects on usefulness (scarcity × authority) Note(s): “Promotion = 1” represents scenarios where scarcity cues are present; “Humansender = 1” represents low authority scenarios where the message is sent by a customer service representative Source: Authors’ own work... More about this image found in The interactional effects on usefulness (scarcity × authority) Note(s): ...
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in Personalized messaging for on-the-go tourists: a heuristic approach to designing less intrusive content
> Tourism Review
Published: 05 June 2026
Figure 3 The interactional effects on cognitive factors (control × authority) Note(s): “Control = 1” represents high control scenarios where the message contains control functions; “Humansender = 1” represents low authority scenarios where the message is sent by a customer service representativ... More about this image found in The interactional effects on cognitive factors (control × authority) Note...
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in Women’s empowerment and support for sustainable coastal tourism: dual pathways through job embeddedness, place attachment and perceived benefits
> Tourism Review
Published: 28 May 2026
Figure 1 Proposed theoretical model Source: Authors’ own work A conceptual model linking women’s empowerment, job embeddedness, place attachment, perceived benefits, and support for sustainable tourism. The conceptual framework presents relationships between women’s empowerment and support ... More about this image found in Proposed theoretical model Source: Authors’ own work A conceptual mod...
Journal Articles
Pilar Talón-Ballestero, Lydia González-Serrano, Teresa Villacé-Molinero, Giampaolo Viglia, Won Seok Seo
Journal:
Tourism Review
Tourism Review 1–25.
Published: 28 May 2026
Journal Articles
Images
in Towards relational pricing in hospitality: a customer lifetime value perspective
> Tourism Review
Published: 28 May 2026
Figure 1 Conceptual framework: from Demand-driven personalised pricing to relational pricing Source: Authors’ own work Flow diagram showing 3 stages of personalised pricing development from open pricing to relational pricing with C L V integration. The flow diagram presents a 3-stage person... More about this image found in Conceptual framework: from Demand-driven personalised pricing to relational...
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in Towards relational pricing in hospitality: a customer lifetime value perspective
> Tourism Review
Published: 28 May 2026
Figure A1 Variables that determine CLV Source: Authors’ own work Grouped bar chart comparing customer and pricing factors across 2 survey rounds with mean and standard deviation values. The grouped bar chart compares mean ratings for 15 customer and pricing-related factors across Round 1 ... More about this image found in Variables that determine CLV Source: Authors’ own work Grouped bar ...
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in Towards relational pricing in hospitality: a customer lifetime value perspective
> Tourism Review
Published: 28 May 2026
Figure A2 Importance of pricing methods Grouped bar chart comparing pricing and customer value factors across 2 survey rounds with mean and standard deviation values. The grouped bar chart compares mean ratings for 11 pricing and customer-related factors across Round 1 and Round 2 surveys. Cat... More about this image found in Importance of pricing methods Grouped bar chart comparing pricing and cu...
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in Towards relational pricing in hospitality: a customer lifetime value perspective
> Tourism Review
Published: 28 May 2026
Figure A3 Models used to calculate CLV Bar chart comparing perceived benefits of personalised pricing, with long-term profitability receiving the highest mean score of 4.33. The bar chart compares mean ratings and standard deviation values for 4 perceived benefits of personalised pricing. Ca... More about this image found in Models used to calculate CLV Bar chart comparing perceived benefits of...
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in Towards relational pricing in hospitality: a customer lifetime value perspective
> Tourism Review
Published: 28 May 2026
Figure A4 Assessment of RM-CRM integration benefits Two pie charts show equal adoption of customer lifetime value models, with R F M the most commonly used method at 60 percent. The two pie charts are arranged side-by-side. The larger pie chart on the left shows equal responses for adoption of... More about this image found in Assessment of RM-CRM integration benefits Two pie charts show equal adop...
Images
in Evaluating tourism competitiveness and efficiency in the Mediterranean regions. The efficiency paradox
> Tourism Review
Published: 26 May 2026
Figure 1 Empirical data pipeline and methodological framework Source: Own elaboration A methodological flowchart illustrates the analytical framework used to investigate the tourism efficiency paradox. The flowchart begins with the i I C T dataset containing eighty-nine indicators organised... More about this image found in Empirical data pipeline and methodological framework Source: Own elabora...
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in Evaluating tourism competitiveness and efficiency in the Mediterranean regions. The efficiency paradox
> Tourism Review
Published: 26 May 2026
Figure 2 Dendrogram obtained through hierarchical cluster analysis Source: Own elaboration A dendrogram displays hierarchical clustering among Mediterranean tourism regions based on structural similarity. The dendrogram organises Mediterranean tourism regions into hierarchical clusters acco... More about this image found in Dendrogram obtained through hierarchical cluster analysis Source: Own el...
Images
in Evaluating tourism competitiveness and efficiency in the Mediterranean regions. The efficiency paradox
> Tourism Review
Published: 26 May 2026
Figure 3 Two-dimensional result of the hierarchical cluster analysis Source: Own elaboration A cluster plot depicts two regional clusters using principal component dimensions. The cluster plot presents two-dimensional clustering results using Dim 1 and Dim 2, each explaining twenty per cent... More about this image found in Two-dimensional result of the hierarchical cluster analysis Source: Own ...















