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

Pedro Cuesta-Valiño (), Sergey Kazakov, Pablo Gutiérrez-Rodríguez and Orlando Lima Rua
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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

Palgrave Communications, 2023, vol. 10, issue 1, 1-11

Abstract: 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.

Date: 2023
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DOI: 10.1057/s41599-023-01529-w

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