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Discovering shopping visitors’ behavior and preferences using geo-tagged social photos: a case study of Los Angeles City

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  • Thanh-Hieu Bui

    (University of Economics Ho Chi Minh City)

Abstract

Understanding shopping visitors’ behavior and preferences is important for tourism and retail business. This paper introduces geo-tagged photos on a social media platform as an additional data resource to study spatiotemporal behavior and preferences of visitors at shopping locations. We propose a novel framework that uses geo-tagged photos within an urban region for identifying shopping locations and then discovering spatiotemporal behavior and preferences of visitors at the identified shopping spots. We present a case study of Los Angeles City, California, USA. The analysis results give insights into spatiotemporal behavior and preferences of shopping visitors in different groups of shopping locations such as shopping mall, plaza, market and so on. The results also reveal the preferences of shopping visitors in groups of shopping locations classified by selling products. In addition, the preferences between domestic and international shopping visitors are also uncovered. The proposed approach and findings of the case study are beneficial to tourism managers and the managers of shopping places, especially those in Los Angeles, in understanding spatiotemporal behavior and preferences of shopping visitors. This can help to improve the activities of promoting and attracting tourists to visit local shopping locations.

Suggested Citation

  • Thanh-Hieu Bui, 2021. "Discovering shopping visitors’ behavior and preferences using geo-tagged social photos: a case study of Los Angeles City," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 127-143, June.
    • Handle: RePEc:pal:jmarka:v:9:y:2021:i:2:d:10.1057_s41270-021-00107-w
    DOI: 10.1057/s41270-021-00107-w
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    References listed on IDEAS

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    1. Pantano, Eleonora & Dennis, Charles, 2019. "Store buildings as tourist attractions: Mining retail meaning of store building pictures through a machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 304-310.
    2. Shim, Changsup & Santos, Carla Almeida, 2014. "Tourism, place and placelessness in the phenomenological experience of shopping malls in Seoul," Tourism Management, Elsevier, vol. 45(C), pages 106-114.
    3. Bynum Boley, B. & Magnini, Vincent P. & Tuten, Tracy L., 2013. "Social media picture posting and souvenir purchasing behavior: Some initial findings," Tourism Management, Elsevier, vol. 37(C), pages 27-30.
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    Cited by:

    1. Zecong Ma & Sergio Palacios, 2021. "Image-mining: exploring the impact of video content on the success of crowdfunding," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(4), pages 265-285, December.

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