The effect of future time reference on consumers’ travel and dining-out spending across countries
Bibliographic Data
| ID | 21699239 |
|---|---|
| Authors | Jewoo Kim (0000-0002-3587-7406, Iowa State University, corresponding author), Eunha Jeong (0000-0002-5366-7576, Iowa State University), Jinhyun Jun (Iowa State University), Jin Hyun Jun (0000-0001-9898-4471, Iowa State University) |
| Year | 2022 |
| Volume | 25 |
| Issue | 8 |
| Pages | 1325-1340 |
| Publication date | 2022-04-18 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2021.1920003 |
| OpenAlex | W3159447296 |
| Language | EN |
| Citations received | 2 |
| References cited | 59 |
Language structures can influence speakers’ perceptions, attitudes, and behaviours, differently. One influential structural feature in language is future time reference (FTR), which refers to the way speakers mark the time of events. The purpose of this study is to test if languages that require the grammatical marking of time (i.e. strong FTR languages) encourage present-oriented consumption, including lodging and restaurant. Fixed-effects analysis and multilevel mixed-effects analysis are employed to compare the spending on accommodations and/or restaurants between strong- and weak-FTR speakers. The findings consistently show the significant effect of strong FTR languages on their speakers’ lodging and restaurant consumption. Implications of the findings are provided, as well as suggestions for future research
Advertising · Business · Econometrics · Economics · Linguistics · Multilevel model · Perception · Sociology · Categorization, perception, and language · Computer Science · Cultural Differences and Values · Diverse Aspects of Tourism Research · Psychology · Marketing
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |