Information enhancement or hindrance? Unveiling the impacts of user-generated photos in online reviews

Hengyun Li, Lingyan Zhang, Rui (Ami) Guo, Haipeng Ji, Bruce X.B. Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Purpose: This study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further tests the hindering effect of human facial presence in review photos on review usefulness. Design/methodology/approach: Based on review samples of restaurants in a tourist destination Las Vegas, this study used an integrated method combining a machine learning algorithm and econometric modeling. Findings: Results indicate that the number of UGPs depicting a restaurant’s food, drink, menu and physical environment has positive impacts on perceived review usefulness. The quality of online review UGPs can also enhance perceived review usefulness, whereas facial presence in these UGPs hinders perceived review usefulness. Practical implications: Findings suggest that practitioners can implement certain tactics to potentially improve consumers’ willingness to share more UGPs and UGPs with higher quality. Review websites could develop image-processing algorithms for identifying and presenting UGPs containing core attributes in prominent positions on the site. Originality/value: To the best of the authors’ knowledge, this study is the first to present a comprehensive analytical framework investigating the enhancing or hindering roles of review photo quantity, photo quality and facial presence in online review UGPs on review usefulness. Using the heuristic-systematic model as a theoretical foundation, this study verifies the additivity effect and attenuation effect of UGPs’ visual elements on judgements of online review usefulness. Furthermore, it extends scalable image data analysis by adopting a deep transfer learning algorithm in hospitality and tourism.

Original languageEnglish
Pages (from-to)2322 - 2351
Number of pages30
JournalInternational Journal of Contemporary Hospitality Management
Volume35
Issue number7
DOIs
Publication statusPublished - 9 Jun 2023

Keywords

  • Facial presence
  • Heuristic-systematic model
  • Machine learning
  • Review photo quality
  • Review photo quantity
  • Review usefulness

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management

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