The impact of country image and destination image on US tourists’ travel intention

Chaulagain, Suja; Wiitala, Jessica; Fu, Xiaoxiao

doi:10.1016/j.jdmm.2019.01.005

Cited by 215 publications

(227 citation statements)

References 84 publications

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“…As noted in the reviewing of the literature, as far as we know, only one reference related to residents' loyalty and tourism [28], definitions of "tourists' loyalty" or "destination loyalty" (e.g., [30,69,70,83]) have been adapted to the context of residents' loyalty, being defined as "the willingness to recommend to other people to visit the destination". This is adopted measuring the residents' loyalty as a suitable indicator [25].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…In relation to loyalty, the studies mainly deal with tourist loyalty [69,70]. Other revised studies on residents' loyalty relates this variable to the support that residents give to tourism development [28].…”

Section: Literature Review Of Residents' Loyaltymentioning

confidence: 99%

“…Several steps are recommended to evaluate the structural model. The issues to evaluate the inner model are, mainly: (a) collinearity among constructs; (b) statics significance and relevance of the path coefficients); (c) discriminant validity; (d) model´s predictive power (R 2 ); and, (e) evaluation of effect size, f 2 , following [70][71][72][73]84].…”

Section: Structural or Inner Modelmentioning

confidence: 99%

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Residents’ Negative Perceptions towards Tourism, Loyalty and Happiness: The Case of Fuengirola, Spain

2019

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Current studies suggest focusing on the study of residents' negative perceptions towards tourism. This study estimates a confirmatory model of structural equations based on variance. The negative perceptions of residents living in Fuengirola (Spain), divided into three dimensions (negative economic impact, negative social impact, and negative environmental impact), according to social exchange theory, and, also the residents' loyalty to their city are considered to be predictors of residents' happiness. We have proposed a construct of residents' loyalty to their tourism destination residence as a novelty, being composed of two indicators. The model has been computed based on partial least squares-structural equation modeling. The following hypotheses have been tested: (a) negative perceptions have positive effects on each other; (b) negative perceptions have a negative effect on happiness; and, (c) residents' loyalty has a positive effect on happiness. The hypotheses were not rejected. Moreover, the loyalty of the residents has the highest direct positive impact, while the negative impacts have weak negative effects, direct and indirect, on the happiness of the residents. The result of the positive relationship between place loyalty and happiness referred by those persons who perceive their living place (neighborhood) as prestigious is consistent with our findings, which is, an increase of loyalty was found to be associated with an increase in happiness.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Literature Review Of Residents' Loyaltymentioning

confidence: 99%

Section: Structural or Inner Modelmentioning

confidence: 99%

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Residents’ Negative Perceptions towards Tourism, Loyalty and Happiness: The Case of Fuengirola, Spain

2019

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“…CI is generally defined as "the total of all descriptive, inferential, and informational beliefs about a particular country" [52]. The generic conceptualization and constructs of county image can be associated with different image elements including celebrities, politics, culture, tradition, history, economy, international business, and technology [61], all of which can influence on the whole CI [62]. Recently, study has started to consider how CI impacts on prospective tourists' visit intention [63].…”

Section: Country Image (Ci)mentioning

confidence: 99%

The Impact of Foreign Flight Attendants’ Service Quality on Behavioral Intention Toward Their Home Country—Applied SERVPERF Model

Hyun

2019

Sustainability

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This study applied a service performance (SERVPERF) model to measure service quality and used a quantitative method for testing four research hypotheses. This research aims to examine the impacts of foreign flight attendants’ service quality on behavioral intention toward their home country. As a result, the service touch of foreign flight attendants was influenced by curiosity, image, and behavioral intention toward their home country. Thus, this is an important finding that flight attendants conduct a crucial role not only for the airline but also for tourism in their home country. And empathy was found to be the most important dimension of service quality when a flight attendant offered a service to foreigners. This dimension was related to individual attention and communication skills. However, the limitation of this study is that the respondents were passengers of only one nationality; further research should, therefore, include a more diverse range of nationalities.

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“…The temporal and spatial fluctuation of inbound tourist flow is the comprehensive result of many dynamic changes in influencing factors, which can be understood from multiple perspectives [18]. Regional differences among destinations in terms of economic, cultural, infrastructure, destination image [19], and tourism resource endowments are the key reasons for the scale and distribution of inbound passenger flow [7,20]. For this reason, many disputes remain around the cause, performance, and influence of the spatial and temporal distributions of inbound tourist flow.…”

Section: Introductionmentioning

confidence: 99%

The Spatial Distribution, Influencing Factors, and Development Path of Inbound Tourism in China—An Empirical Analysis of Market Segments Based on Travel Motivation

et al. 2020

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According to China’s tourism statistics, the inbound tourism market is composed of eight types of travel motivations (sightseeing, leisure, business meeting (business-m), visiting relatives and friends (visiting-rf), shopping, religious worship (religious-w), culture and sports (culture-s), and health care (health-c)), and the spatial distribution of each type of travel motivation is significantly different. Four inbound sub-markets (foreigners, Hong Kong, Macao, and Taiwan) were selected as our research object. Through empirical analysis of the variable elasticity of eight different inbound motive market segments, we found that the sensitivities (elasticity) of the influencing factors (traffic conditions (traffic-c), destination image (destination-i), industry structure (industry-s), infrastructure, consumer price index (CPI), resource endowment (resource-e), and dressing index (ICL)) are different. Therefore, investment options in the target market can have differential treatment based on the rate of marginal return on investment. In accordance with the characteristics of different market segments, we suggest more feasible development paths and countermeasures, providing a decision-making basis for the accurate development of the inbound tourism market.

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The impact of country image and destination image on US tourists’ travel intention

Cited by 215 publications

References 84 publications

Residents’ Negative Perceptions towards Tourism, Loyalty and Happiness: The Case of Fuengirola, Spain

Residents’ Negative Perceptions towards Tourism, Loyalty and Happiness: The Case of Fuengirola, Spain

The Impact of Foreign Flight Attendants’ Service Quality on Behavioral Intention Toward Their Home Country—Applied SERVPERF Model

The Spatial Distribution, Influencing Factors, and Development Path of Inbound Tourism in China—An Empirical Analysis of Market Segments Based on Travel Motivation

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