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Destination image analytics for tourism design: An approach through Airbnb reviews

Author

Listed:
  • Lalicic, Lidija
  • Marine-Roig, Estela
  • Ferrer-Rosell, Berta
  • Martin-Fuentes, Eva

Abstract

This study embraces destination image analytics, design thinking and peer-to-peer accommodation services. The paper aims to support marketers in rethinking the way they design destination experiences and marketing strategies by synergising with contemporary trends in the peer-to-peer accommodation sector and help integrate them into destination marketing systems. Thus, a holistic process is developed to reveal how destination image is constructed that applies compositional data analysis on almost one million Airbnb reviews from four Spanish urban destinations on a temporal basis (two consecutive periods). The designative aspect of image distinguishes the destinations, and temporal image trends are observed. These insights allow marketers to re-formulate and design marketing and experience strategies that align with the needs and experiences of contemporary tourists.

Suggested Citation

  • Lalicic, Lidija & Marine-Roig, Estela & Ferrer-Rosell, Berta & Martin-Fuentes, Eva, 2021. "Destination image analytics for tourism design: An approach through Airbnb reviews," Annals of Tourism Research, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:anture:v:86:y:2021:i:c:s0160738320302449
    DOI: 10.1016/j.annals.2020.103100
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    Citations

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    Cited by:

    1. Xinxin Guo & Juho Pesonen & Raija Komppula, 2021. "Comparing online travel review platforms as destination image information agents," Information Technology & Tourism, Springer, vol. 23(2), pages 159-187, June.
    2. MacNiven, Sean & Lennon, J. John & Roberts, Julie & MacNiven, Maxime, 2023. "In other words: Glasgow (Perception through Word Associations)," OSF Preprints yfaw2, Center for Open Science.
    3. Su, Lujun & Tang, Binli & Nawijn, Jeroen, 2021. "How tourism activity shapes travel experience sharing: Tourist well-being and social context," Annals of Tourism Research, Elsevier, vol. 91(C).

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