Motivation-Based Segmentation of Tourist Shoppers to Hainan During Covid-19
Bibliographic Data
| ID | 3558703 |
|---|---|
| Authors | Yuhao Liu (0000-0002-2442-5690, University of Southampton), Yunseon Choe (0000-0001-5527-2263, Arizona State University, corresponding author) |
| Year | 2023 |
| Volume | 13 |
| Issue | 3 |
| Publication date | 2023-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/21582440231197497 |
| OpenAlex | W4386771924 |
| Language | EN |
| Citations received | 3 |
| References cited | 73 |
This research attempts to identify tourists' shopping motives in Hainan in relation to their socio-demographic and trip characteristics in the context of Chinese domestic tourism during COVID-19. Using a motivational market segmentation approach, the study revealed three motivations: obtaining local cultural products, high quality gifts at good prices, and a diverse range of high quality products. Three distinctive groups emerged by motivational profile, namely, efficiency seekers, want-it-all shoppers, and unwilling shoppers. Significant differences in tourist shopping behavior were identified among the three groups regarding gender, age, income, region, and tourism motivation. The findings of this research will provide destination management organizations, tourism practitioners, and policy makers of both local and national governments with practical directions by which to approach the target markets, understand their needs, and understand the benefits they seek against the background of the integration of culture and tourism
Advertising · Business · Geography · Market segmentation · Political science · Seekers · Tourism · Consumer Behavior in Brand Consumption and Identification · Cruise Tourism Development and Management · Diverse Aspects of Tourism Research · Psychology · Marketing
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |