Data · dataset · 2008
Cross-cultural Experience and Image of Tourist Night Markets in Taiwan
Listed in Harvard Dataverse
The night market is a unique and important feature of Taiwanese culture.
Description
Night markets are also one of the most popular tourism destinations for foreign visitors in Taiwan. The purpose of this research is to discover the relationships of tourists’ behaviors, experiences and images of night markets in Taiwan among different cultural nationalities.
There were 333 foreign visitors surveyed at the departure hall of Taiwan International Airport. The foreign tourists are divided into “Southeast Asian”, “Japanese” and “European and American” three cultural background groups. Using factor analysis, there are five tourist behavior dimensions: interpersonal interaction, novel exploration, collecting memory, consuming confidence, and purchasing items.
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Night market experiences include sense, feel, think, relate, and act experiences. Night market images is analyzed by factor analysis to get eight factors, traffic inconvenience, price & specialty, product satisfaction, diverse product, lively/friendly, dirty/dangerous, price discounts and attraction. The results show: (1) different cultural nationalities have significant differences in the behavior dimensions of novel exploration and collecting memory, experience dimension of feel experience, and image dimensions 1 of traffic inconvenience and dirty/dangerous.
(2) The relationships model of tourism behavior, night market experience and night market images show that behaviors have significantly positive effect on the experiences. The standardized coefficient (γ) is .57, t-value is 8.13. Behaviors have no direct influence on night market images (γ = .10, t = 1.29).
Night market experiences have significantly positive effects on images (r =. 78, t = 8.82). The behaviors have positive indirect influence (.445) via experience as intermediary variable on images of night market. The findings provide further research and implication suggestions for government to planning, design and marketing strategies.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E95037-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e95037-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Image 75%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E95037-1 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[modality].local:modality:image | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |