Mediating effect of destination image on the relationship between risk perception of smog and revisit intention: a case of Chengdu

Liang, Xinjian; Xue, Jiaolong

doi:10.1080/10941665.2021.1941156

Cited by 21 publications

(14 citation statements)

References 49 publications

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“…Previous research strongly suggested that the intended destination's image influences visitor loyalty (Huwae, 2020). For example, a case study conducted on the city of Chengdu found that a major factor encouraging tourists to return was the influence of its image (Liang & Xue, 2021). Destination image is closely related to "destination attribute expectations" which, in turn, influences visitor intentions.…”

Section: Marketing MIX Destination Image and Revisit Intentionmentioning

confidence: 99%

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

Adam¹,

Ibrahim²,

Putra³

et al. 2023

10.5267/j.ijdns

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Word-of-mouth (WOM) has been recognized as one of the most influential forms of information transmission. Advances in information technology and the emergence of online social networking sites have changed the manner in which data is delivered. This phenomenon has an impact on consumers because readily accessible information can significantly influence consumption-related decisions. The purpose of this paper is to examine the role of e-WOM in mediating the influence of the marketing mix and destination image on the intention of tourists to re-visit destinations. The primary data was derived from 190 tourist respondents and collected by means of questionnaires distributed via Google forms. The resulting data was analyzed using AMOS-SEM, while evaluating the role of e-WOM as a model involving a Sobel test. The results of the analysis indicated that e-WOM plays a highly significant role in piquing individual's' interest in re-visiting tourist sites. Contributory factors such as the marketing mix, destination image, and e-WOM all support this research hypothesis.

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Section: Marketing MIX Destination Image and Revisit Intentionmentioning

confidence: 99%

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

Adam¹,

Ibrahim²,

Putra³

et al. 2023

10.5267/j.ijdns

View full text Add to dashboard Cite

show abstract

“…Rittichainuwat et al ( 2018 ) depicted tourists’ perceptions of natural disaster risk in areas with a history of tsunamis, proving that there is a significant positive correlation between the perceived intensity of natural disaster risk and its occurrence frequency. Becken et al ( 2017 ) and Liang and Xue ( 2021 ) investigated the risk perceptions of air pollution by potential international tourists and domestic tourists to China. The findings show that both types of tourists have very negative perceptions of air quality at the destination, which has a significant negative impact on the destination image as well as intentions to revisit.…”

Section: A Review Of Research On Identification Of Tourists’ Risk Per...mentioning

confidence: 99%

Identification of tourists’ dynamic risk perception—the situation in Tibet

Feng

Sun

et al. 2022

Humanit Soc Sci Commun

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This paper proposes an identification framework for dynamic risk perception with “Questions & Answers (Q&As) + travel notes”, which newly attends to the dynamic nature of risk perception and overcomes the liabilities of traditional data collection methods, such as questionnaires and interviews, which induce high costs in data acquisition, tend to produce small sample sizes and suffer from large sample deviations. Via 2627 Q&As released by tourists before travel and 17,523 travel notes released by tourists after travel, the dynamic change in 20 identified risks before and after travel to Tibet is portrayed with the help of text mining technologies, which can automatically identify risk perception types and sentiment tendencies from massive amounts of textual data. The study finds that before travel, tourists usually underestimate risks related to safety, health and time but overestimate risks related to transportation, route selection and season. The results of the study are not only informative for destination tourism risk management and image promotion but also important for tourists to form more reasonable risk assessments.

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“…After receiving the destination image, potential tourists tend to focus their attention on hot spots for a period of time. They actively encourage themselves to continue to accept media information, so as to deepen their understanding ( Liang and Xue, 2021 ). Conversely, affective empathy will also lead the media audience to actively focus on and participate in the user-generated content (UGC) process.…”

Section: Theoretical Foundation and Hypothesis Developmentmentioning

confidence: 99%

Attribution Model of Travel Intention to Internet Celebrity Spots: A Systematic Exploration Based on Psychological Perspective

Yao

Wang

et al. 2021

Front. Psychol.

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Previous studies have shown that the empathy process is the main driving factor that triggers tourists’ intention to visit Internet celebrity spots. However, the academic community has not yet formed a unified understanding of the concrete mechanism. Based on this, this study combines the connotations of meme theory and empathy theory and applies Structural Equation Modeling (SEM) to empirically analyze 340 valid samples of Internet celebrity spots visitors to explore the influence mechanism of attributional factors on travel intention. The result shows that mechanism of travel intention can be presented as a psychological model in which travel attribution of tourists to visit Internet celebrity spots is the independent variable, the travel intention is the dependent variable, and the empathy process is the intermediary variable. The influence intensity of internal attribution on affective empathy is higher than that of external attribution, while the influence intensity of external attribution on cognitive empathy has a comparative advantage, and there is a significant difference between them. Empathy process has a significant mediating effect on the relationship between travel attribution and travel intention of tourists to visit Internet celebrity spots, and the mediating effect of affective empathy is significantly greater than that of cognitive empathy. Overall, this study reveals the segmentation elements with strong explanatory power in the behavior of “internet celebrity spots punch in,” examines the practical effect of empathy process in the behavioral intention of traveling, and provides a theoretical reference for the transformation and upgrading of tourist destinations and marketing planning of online communication in the future.

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Mediating effect of destination image on the relationship between risk perception of smog and revisit intention: a case of Chengdu

Cited by 21 publications

References 49 publications

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

Identification of tourists’ dynamic risk perception—the situation in Tibet

Attribution Model of Travel Intention to Internet Celebrity Spots: A Systematic Exploration Based on Psychological Perspective

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