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The effects of the aesthetics and composition of hotels’ digital photo images on online booking decisions

Author

Listed:
  • Pedro Cuesta-Valiño

    (Universidad de Alcalá)

  • Sergey Kazakov

    (Universidad de Alcalá)

  • Pablo Gutiérrez-Rodríguez

    (Universidad de Léon)

  • Orlando Lima Rua

    (Center for Organisational and Social Studies of the Polytechnic of Porto)

Abstract

Photographic images help customers perceive product information more accurately and clearly. A customer’s perception of a particular product also influences their decision to purchase it. In the context of a hotel, guests evaluate digital hotel photos online during their booking decision process. While a large body of research has contributed to the understanding of how hotel online digital images shape hotel customer behaviour, little is known about the aesthetics, content, and composition of hotel images and their effects on booking decisions. In addition, previous research has routinely been criticised for having methodological limitations. These studies have routinely used surveys and experiments to explore how hotel pictures affect customer perception of the hotel and his/her booking intentions. Unlike prior studies, this research scopes a determination of the ‘selling’ properties pertinent to the hotel’s digital images placed online on the hotel-themed websites with the application of the latest technologies pursuant to visual data mining, processing and analysis. This study employed Google’s Inception v3 neural network as an AI solution for embedding and classifying hotel photo images with the further application of logistic regression and fuzzy cognitive mapping method. The results of the present study determined the hotel picture properties that may engender positive customer perception of the hotel and sequentially can precipitate hotel booking. The revealed ‘selling’ hotel image properties comprise (a) light and time of the photo shooting, (b) image colour scheme, (c) human presence, and (d) shooting angle. This study suggests a set of practical recommendations to hotel marketers to develop ‘selling’ photo images that generate hotel bookings online. The completed research is one of the first in the nascent literature stream in AI-powered computer vision solutions studies to determine the effects of photo aesthetics on online hotel bookings.

Suggested Citation

  • Pedro Cuesta-Valiño & Sergey Kazakov & Pablo Gutiérrez-Rodríguez & Orlando Lima Rua, 2023. "The effects of the aesthetics and composition of hotels’ digital photo images on online booking decisions," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01529-w
    DOI: 10.1057/s41599-023-01529-w
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    1. Erik Van der Burg & Alexander Toet & Zahra Abbasi & Anne-Marie Brouwer & Jan B. F. Van Erp & Victor L. Kallen & Daisuke Kaneko & Youjin (Eugene) Kim & Marise Kinnear & Henriëtte L. de Kock & Dyah Kusb, 2021. "Sequential dependency for affective appraisal of food images," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    2. Rodríguez, Pablo Gutiérrez & Villarreal, Ricardo & Valiño, Pedro Cuesta & Blozis, Shelley, 2020. "A PLS-SEM approach to understanding E-SQ, E-Satisfaction and E-Loyalty for fashion E-Retailers in Spain," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    3. John T. Gourville & Dilip Soman, 2005. "Overchoice and Assortment Type: When and Why Variety Backfires," Marketing Science, INFORMS, vol. 24(3), pages 382-395, July.
    4. Weber, Larry, 2019. "Restoring trust and rebuilding reputation: The critical roles of corporate purpose, earned media and the new CEO mandate," Journal of Digital & Social Media Marketing, Henry Stewart Publications, vol. 6(4), pages 332-340, March.
    5. Sergey Kazakov & José L. Ruiz-Alba & María M. Muñoz, 2020. "The impact of information and communication technology and internal market orientation blending on organisational performance in small and medium enterprises," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 30(2), pages 129-151, November.
    6. Abhilasha Singh & Apurva Shaurya, 2021. "Impact of Artificial Intelligence on HR practices in the UAE," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    7. Kim, Molan & Lee, Seung Min & Choi, Sanghak & Kim, Sang Yong, 2021. "Impact of visual information on online consumer review behavior: Evidence from a hotel booking website," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    8. Primož Godec & Matjaž Pančur & Nejc Ilenič & Andrej Čopar & Martin Stražar & Aleš Erjavec & Ajda Pretnar & Janez Demšar & Anže Starič & Marko Toplak & Lan Žagar & Jan Hartman & Hamilton Wang & Riccard, 2019. "Democratized image analytics by visual programming through integration of deep models and small-scale machine learning," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    9. Carlos Flavián & Luis V. Casaló, 2021. "Artificial intelligence in services: current trends, benefits and challenges," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 853-859, October.
    10. Manes, Eran & Tchetchik, Anat, 2018. "The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking," Journal of Business Research, Elsevier, vol. 85(C), pages 185-196.
    11. Yang, Shuai & Wang, Yizhe & Li, Zhen & Chen, Chiyin & Yu, Ziyue, 2022. "Time-of-day effects on (un)healthy product purchases: Insights from diverse consumer behavior data," Journal of Business Research, Elsevier, vol. 152(C), pages 447-460.
    12. Espigares-Jurado, Francisco & Muñoz-Leiva, Francisco & Correia, Marisol B. & Sousa, Carlos M.R. & Ramos, Célia M.Q. & Faísca, Luís, 2020. "Visual attention to the main image of a hotel website based on its position, type of navigation and belonging to Millennial generation: An eye tracking study," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    13. Shanshi Li & Gabby Walters & Jan Packer & Noel Scott, 2018. "Using skin conductance and facial electromyography to measure emotional responses to tourism advertising," Current Issues in Tourism, Taylor & Francis Journals, vol. 21(15), pages 1761-1783, October.
    14. Nanne, Annemarie J. & Antheunis, Marjolijn L. & van der Lee, Chris G. & Postma, Eric O. & Wubben, Sander & van Noort, Guda, 2020. "The Use of Computer Vision to Analyze Brand-Related User Generated Image Content," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 156-167.
    15. Lize Coenen & Wouter Verbeke & Tias Guns, 2022. "Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(1), pages 191-206, January.
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