Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan

Chew, Elaine Yin Teng; Jahari, Siti Aqilah

doi:10.1016/j.tourman.2013.07.008

Cited by 631 publications

(600 citation statements)

References 80 publications

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“…As mentioned above, the relationship between destination images and intention to revisit is the scope of the present study, and the extant literature suggests that cognitive and affective images have a positive, direct effect on tourists' intentions to revisit a destination (Bigné, Sánchez, & Sanz, 2009;Chew & Jahari, 2014;, as positive perceptions of destinations drive purchase decisions (Woodside & Lysonski, 1989). Accordingly, our expectation is that: Fesenmaier (1997, p. 538) define holistic image as, "A composite of various products (attractions) and attributes woven into a total impression", while Um and Crompton (1990, p. 432-33) posited that holistic or overall image is, "A holistic construct which, to a greater extent, is derived from attitudes towards the destination's perceived tourism attributes".…”

Section: Intention To Revisit a Destinationmentioning

confidence: 97%

“…In particular, the vast majority of previous studies emphasize the role of cognitive and affective images for consumer attitude and behavioral intentions (Bigné, Sánchez & Sanz, 2009;Bigné, Sánchez, & Sánchez, 2001;Chew & Jahari, 2014;Hosany, Ekinci, & Uysal, 2006;Jang, Bai, Hu, & Wu, 2009;Yüksel & Akgül, 2007). Tourism research has almost completely neglected the conative aspects of destination image when predicting consumer attitude and behavioral intentions (Gallarza, Saura, & Garcıá, 2002;Tasci, 2009;White, 2014), despite the fact that many researchers agree that destination image is crucial to tourists' perceived images (Chen, Ji, & Funk, 2014;Dann, 1996;Gartner, 1993;King, Chen, & Funk, 2015;Li, Pan, Zhang, & Smith, 2009;Nadeau, Heslop, O'Reilly, & Luk, 2008;Pike & Ryan, 2004;Stepchenkova & Morrison, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

et al. 2016

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This research examines the complex relationship between components of images of destinations and behavioral intentions, incorporating two pivotal constructs that have not been explored in the related literature, namely holistic image and personal normative beliefs (PNBs). Previous studies incorporating destination images as predictors of intention to revisit have mostly investigated their direct effect. This research integrates holistic image as a mediator and PNBs as a moderating variable. The findings verify the mediating role of holistic image for predicting tourists’ intentions to revisit a destination, supporting a model that incorporates a partial effect and two indirect mediations. Interestingly, only affective and conative images contribute to the prediction of tourists’ intentions to revisit a destination through the holistic image towards this destination. Moreover, PNBs moderate the effect that conative destination images have on tourists’ holistic images. Practically, the research sheds light to factors that affect tourists' tendency to select a tourism destination, which can serve as a basis for tailoring the effective positioning of destinations

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Section: Intention To Revisit a Destinationmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

et al. 2016

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“…54 Measurements of a cognitive image vary according to the destination; however, descriptiveness, direct observability and measurability of a cognitive image have been established as the best tools to assess the uniqueness of a destination. 55 Medical tourism destination images are formed from the various tangible characteristics-both medical and non-medical-of a destination. Tangible attributes can include the price, quality of medical services, type of services offered, accreditation of the institutions or hospitals, credentials of the doctors or healthcare providers, supportive services, quality of the infrastructure, the socioeconomic environment and determinants of personal safety and security.…”

Section: At T R I B U T E Smentioning

confidence: 99%

“…25,78 Chew et al identified a significant relationship between perceived risks and destination image. 55 Bearing in mind that perceived risks directly influence visit intention, this construct can also be argued to negatively influence destination image; however, further studies are needed to fully explore this relationship. While the role of travel constraints on destination image requires further research, an initial study by Chen et al found a significant negative relationship between travel constraints and destination image in early decision-making.…”

Section: Relationships Between Model Factorsmentioning

confidence: 99%

Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism: Theoretical model

Khan

Chelliah

Haron

et al. 2017

SQUMJ

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Travel motivations, perceived risks and travel constraints, along with the attributes and characteristics of medical tourism destinations, are important issues in medical tourism. Although the importance of these factors is already known, a comprehensive theoretical model of the decision-making process of medical tourists has yet to be established, analysing the intricate relationships between the different variables involved. This article examines a large body of literature on both medical and conventional tourism in order to propose a comprehensive theoretical framework of medical tourism decision-making. Many facets of this complex phenomenon require further empirical investigation.

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“…This approach was also adopted by Park and Reisinger (2008) who listed 13 dimensions of risk, borrowing six from the marketing literature and adding other risks specific to crises and disasters, such as terrorism, political instability, crime, and health risks. All these dimensions have been adopted in a number of empirical studies (Chew & Jahari, 2014;Kozak et al, 2007;Park & Reisinger, 2010). The risk perceptions which have been discussed in the tourism literature are summarised in Table 2.2.…”

Section: Psychological Riskmentioning

confidence: 99%

Travel risk perceptions, travel intentions and influencing factors: A natural disaster context

Lenggogeni¹

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While studies of tourist risk perceptions and travel intentions have focused on terrorism, political instability, and outbreak diseases, limited studies have focused on natural disasters, despite the increased impact of disasters. Such events not only cause physical devastation to a tourist destination, but can affect future travel to the effected destination. Natural disasters can create risks for potential tourists which may influence their travel intentions. Thus understanding these risks and how they influence travel intentions is vital.To date, while abundant research is attempting to understand the effect of disasters on risk perceptions, and its subsequent impact on travel intention, questions remain unanswered.Conceptually research should be conducted using a bottom up approach to understand risk perceptions and the factors which can influence risk perceptions. Researchers agree that risk is a multidimensional construct that is context specific, thus more research is needed in the context of natural disasters rather than relying on studies that have explored other types of risks that may not be relevant. In addition, the domestic tourist as a market has been ignored in past studies, which tend to focus on international tourists. In order to address these gaps, this thesis develops a holistic understanding of risk perceptions and the factors that affect the travel intentions of domestic tourists in a destination vulnerable to natural disasters. Accordingly, there are three research objectives in this thesis. First, a bottom up approach is used to identify disaster specific risk dimensions. Second, to understand the relationships between the dimensions of travel risks, the factors that influence travel risk perception and travel intention. Third, to investigate how the dimensions of risk, and the factors that influence risk perception affect the travel intention of domestic tourists to destinations prone to natural disasters. Hence, a mixed method sequential method approach was applied.Initially 52 respondents completed a semi-structure interview. The results were then verified by 605 respondents in a mall intercept survey. The study area was West Sumatra, Indonesia which is one of the most disaster prone destinations in the world, yet it is also considered one of top ten domestic tourist destinations in Indonesia. The thematic analysis, exploratory factor analysis, and Partial least square -Structural equation modelling helped to untangle the complex interrelationships between the risk dimensions, travel intentions and influencing factors.iii Firstly, this thesis uncovered seven dimensions of travel risk in the context of natural disasters. They consist of government preparedness, helplessness, tsunami, feeling trapped, earthquake anxiety, mitigation awareness and mythical beliefs. Many of these risks are consistent with risks found in other context; however two risks (mitigation awareness and mythical beliefs) were also identified. This finding suggests that risk perceptions are context specific ...

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Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan

Cited by 631 publications

References 80 publications

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination

Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism: Theoretical model

Travel risk perceptions, travel intentions and influencing factors: A natural disaster context

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