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Impact of air quality on online restaurant review comprehensiveness

Author

Listed:
  • Jiaming Fang

    (University of Electronic Science and Technology of China)

  • Lixue Hu

    (University of Electronic Science and Technology of China)

  • Xiangqian Liu

    (University of Electronic Science and Technology of China)

  • Victor R. Prybutok

    (University of North Texas)

Abstract

Comprehensiveness is one of the most important textual content features of online review and exhibits significant impacts on consumer’s buying decisions. This paper explores the effect of air quality on review comprehensiveness by using a large-scale daily restaurant review dataset. By applying panel data and text mining method, we report an emotion-based underlying mechanism for the link between ambient air pollution levels and review comprehensiveness. Specifically, we show that air pollution levels significantly decrease review comprehensiveness, and emotion arousal mediates the relationship. Besides, our analyses reveal that the effect of the changing natural environment on reviews is asymmetrical, such that the negative relationship between air pollution levels and emotional arousal is stronger among novice reviewers. This research extends our current understanding of air pollution’s psychological and behavioral effects on review writers and suggests the importance of integrating air quality information into online review management strategies.

Suggested Citation

  • Jiaming Fang & Lixue Hu & Xiangqian Liu & Victor R. Prybutok, 2022. "Impact of air quality on online restaurant review comprehensiveness," Electronic Commerce Research, Springer, vol. 22(4), pages 1035-1058, December.
    • Handle: RePEc:spr:elcore:v:22:y:2022:i:4:d:10.1007_s10660-020-09445-w
    DOI: 10.1007/s10660-020-09445-w
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    References listed on IDEAS

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