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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Exploring Gamification in Luxury Tourism

Authors: Ricardo Marcão; Vasco Santos; Marta Sampaio;

Exploring Gamification in Luxury Tourism

Abstract

This chapter delves into the intriguing intersection of luxury tourism and gamification, examining how the incorporation of game elements and mechanics can transform the landscape of high-end travel experiences. It provides a comprehensive overview of both gamification fundamentals and the nuances of luxury tourism, highlighting their convergence and symbiotic relationship. Through a thorough exploration of successful case studies, this chapter showcases how gamification strategies can be harnessed to elevate the luxury tourism industry. We delve into the motivations driving the adoption of gamification in luxury tourism and explore innovative strategies for seamlessly integrating game-like elements into high-end travel experiences. Moreover, this chapter critically addresses the ethical considerations and challenges associated with gamification in this context, emphasizing the importance of responsible implementation. As luxury travelers increasingly seek personalized, immersive, and memorable experiences, this chapter illuminates how gamification can cater to their desires. By enhancing interactivity, personalization, and customer loyalty, gamified luxury tourism experiences are poised to shape the future of the industry. This exploration concludes with insights into emerging trends and the limitless potential that gamification holds for the ever-evolving world of luxury tourism.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid