Offline Context Affects Online Reviews
The Effect of Post-Consumption Weather
Bibliographic Data
| ID | 11624361 |
|---|---|
| Authors | Leif Brandes (University of Lucerne, corresponding author), Yaniv Dover (0000-0002-9471-4746, Hebrew University of Jerusalem) |
| Editors | J Jeffrey Inman (0000-0003-0410-2242), Andrew T Stephen, David A Schweidel (0000-0003-2665-3272) |
| Year | 2022 |
| Volume | 49 |
| Issue | 4 |
| Pages | 595-615 |
| Publication date | 2022-01-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Consumer Research (JOURNAL) |
| Journal identifiers | ISSN: 0093-5301 • E-ISSN: 1537-5277 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jcr/ucac003 |
| OpenAlex | W4207008779 |
| Language | EN |
| Citations received | 3 |
| References cited | 74 |
This empirical study investigates whether unpleasant weather—a prominent aspect of a consumer’s offline environment—influences online review provision and content. It uses a unique dataset that combines 12 years of data on hotel bookings and reviews, with weather condition information at a consumer’s home and hotel address. The results show that bad weather increases review provision and reduces rating scores for past consumption experiences. Moreover, 6.5% more reviews are written on rainy days and that these reviews are 0.1 points lower, accounting for 59% of the difference in average rating scores between four- and five-star hotels in our data. These results are consistent with a scenario in which bad weather (i) induces negative consumer mood, lowering rating scores, and (ii) makes consumers less time-constrained, which increases review provision. Additional analyses with various automated sentiment measures for almost 300,000 review texts support this scenario: reviews on rainy days show a significant reduction in reviewer positivity and happiness, yet are longer and more detailed. This study demonstrates that offline context influences online reviews, and discusses how platforms and businesses should include contextual information in their review management approaches
Advertising · Business · Consumption (sociology · Context (archaeology · Empirical evidence · Geography · Happiness · Mood · Sociology · Computer Science · Consumer Behavior in Brand Consumption and Identification · Digital Marketing and Social Media · Marketing · Psychology · Sentiment Analysis and Opinion Mining · Social Psychology
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |