TY - GEN
T1 - The Impact of Multisensory Experience with Hotel Images on Sales
AU - Sun, Haoqiang
AU - Xu, Haozhe
AU - Sun, Shaolong
AU - Li, Hengyun
AU - Wang, Shouyang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/8
Y1 - 2024/8
N2 - Images, offering rich and vivid sensory experiences, have become crucial in consumer accommodation-sharing narratives. This research utilizes machine vision and econometric models to examine the influence of sensory experiences from hotel marketing and review images on sales. Empirical findings reveal that: (1) Multidimensional sensory experiences (visual, auditory, tactile, and smell) in marketing images positively affect hotel sales; (2) Genuine sensory experiences depicted in review images exert a polarizing influence on hotel sales, leading to either continuous growth or intensified decline; (3) Disparities in sensory experiences between marketing and review images tend to diminish their promotional impact on sales. Notably, visual elements are paramount, whereas smell aspects are least influential. This study significantly advances the understanding of sensory experiences in images within the tourism and hospitality sector.
AB - Images, offering rich and vivid sensory experiences, have become crucial in consumer accommodation-sharing narratives. This research utilizes machine vision and econometric models to examine the influence of sensory experiences from hotel marketing and review images on sales. Empirical findings reveal that: (1) Multidimensional sensory experiences (visual, auditory, tactile, and smell) in marketing images positively affect hotel sales; (2) Genuine sensory experiences depicted in review images exert a polarizing influence on hotel sales, leading to either continuous growth or intensified decline; (3) Disparities in sensory experiences between marketing and review images tend to diminish their promotional impact on sales. Notably, visual elements are paramount, whereas smell aspects are least influential. This study significantly advances the understanding of sensory experiences in images within the tourism and hospitality sector.
KW - Hotel sales
KW - Machine learning
KW - Marketing images
KW - Review images
KW - Sensory experience
UR - http://www.scopus.com/inward/record.url?scp=85205775818&partnerID=8YFLogxK
U2 - 10.1109/CoST64302.2024.00078
DO - 10.1109/CoST64302.2024.00078
M3 - Conference article published in proceeding or book
AN - SCOPUS:85205775818
T3 - Proceedings - 2024 International Conference on Culture-Oriented Science and Technology, CoST 2024
SP - 362
EP - 367
BT - Proceedings - 2024 International Conference on Culture-Oriented Science and Technology, CoST 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Culture-Oriented Science and Technology, CoST 2024
Y2 - 25 August 2024 through 28 August 2024
ER -