Segmentation of active international sport tourists by destination loyalty
Bibliographic Data
| ID | 21611546 |
|---|---|
| Authors | Rei Yamashita (0000-0003-2328-0001, Waseda University, corresponding author), Kosuke Takata (0000-0002-7234-5812, Institute of Sport Economics and Sport Management, German Sports University Cologne, Cologne, Germany) |
| Year | 2021 |
| Volume | 25 |
| Issue | 3 |
| Pages | 237-251 |
| Publication date | 2021-07-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Sport & Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1029-5399 • E-ISSN: 1477-5085 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/14775085.2021.1905051 |
| OpenAlex | W3139579887 |
| Language | EN |
| Citations received | 2 |
| References cited | 58 |
Destination loyalty has become a crucial concept in both academia and practice. Numerous studies have revealed the antecedents of destination loyalty to discriminate from other rival destinations. Although increasing destination loyalty is anticipated as the key milestone to achieve from both practical and academic purposes, previous research lacks understanding of the characteristics and profile of loyal travellers. Therefore, the purpose of this research is to segment the profile of active international sport tourists by their perceived destination loyalty and to reveal the differences among three segments of their destination loyalty: low, high, and extremely high. Using a paper–pencil questionnaire, data were collected from international tourists who visited the Niseko ski resort in Japan (N = 298). The results of the confirmatory factor analysis, chi-square test using residual analysis, and ANOVA with post hoc analysis implies that there were significant differences among the three segments. The more loyal tourists feel toward the destination, the more involved with and familiar with a sport they perceive themselves to be, and the more they have visited the destination previously. These results of this study contribute to destination marketing organizations, in particular for snow resorts, to understand their loyal customers, which will be the fundamental material to build their management strategy
Advertising · Business · Confirmatory factor analysis · Destination Marketing · Destinations · Geography · Loyalty · Loyalty business model · Market segmentation · Milestone · Political science · Tourism · Consumer Behavior in Brand Consumption and Identification · Diverse Aspects of Tourism Research · Sport and Mega-Event Impacts · Marketing
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Relationship between prior knowledge, destination reputation, and loyalty among sport tourists
Pandemics, tourism and global change
Tourism and Resilience
Sports Tourism
The “war over tourism”
Tourism in Crisis
Tourism Destination Loyalty
An examination of the effects of motivation and satisfaction on destination loyalty
Passenger expectations and airline services
The impact of destination source credibility on destination satisfaction
Understanding tourism loyalty
Examining the structural relationships of destination image, tourist satisfaction and destination loyalty
Confused by too many choices? Choice overload in tourism
How destination image and evaluative factors affect behavioral intentions
Psychological nature of leisure and tourism experience
Prior knowledge, credibility and information search
Impact of personality traits and involvement on prior knowledge
The relationship between daily and vacation activities
An Integrative Model of Tourists’ Information Search Behavior
Korea’s destination image formed by the 2002 World Cup
International leisure tourists’ involvement profile
A pleasure-tourism behaviors framework
Tourist information search
An Examination of Recreationists' Relationships with Activities and Settings
Physically Active Leisure and Tourism Connection
Propositions for testing the involvement construct in recreational and tourism contexts
An Examination of the Relationship between Leisure Activity Involvement and Place Attachment among Hikers Along the Appalachian Trail
Dimensions of Consumer Expertise
| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2022 (2) |
| Highly cited | No |