2020
DOI: 10.3390/su12135454
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The Mechanism of Tourism Risk Perception in Severe Epidemic—The Antecedent Effect of Place Image Depicted in Anti-Epidemic Music Videos and the Moderating Effect of Visiting History

Abstract: Tourism risk perception is proven to have significant influence on tourists’ decision-making behaviors, however, the impact of the place image depicted in the cultural media of destinations on it needs to be further studied. The study explores the mechanism of potential tourists’ risk perception in severe COVID-19 epidemics with the antecedent effects of the place image depicted in anti-epidemic music videos, and the impact of risk perception on potential tourists’ place attachment and travel intention… Show more

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Cited by 46 publications
(36 citation statements)
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References 42 publications
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“…Sreejesh et al (2018) [55] show that brand love can create an emotional bond between customers and the brand, which leads to repeat buying behavior. Han et al (2020) [56] support the findings of Wang et al (2020) [13] by employing CSR to increase the corporate image and thus build tourists' confidence during the crisis. However, in certain circumstances, a brand can be damaged after the crisis and requires a reform strategy; therefore, rebranding is an alternative way to recover brand reputation by developing a new brand identity and positioning [57].…”
Section: Brand Management In the Crisismentioning
confidence: 73%
See 1 more Smart Citation
“…Sreejesh et al (2018) [55] show that brand love can create an emotional bond between customers and the brand, which leads to repeat buying behavior. Han et al (2020) [56] support the findings of Wang et al (2020) [13] by employing CSR to increase the corporate image and thus build tourists' confidence during the crisis. However, in certain circumstances, a brand can be damaged after the crisis and requires a reform strategy; therefore, rebranding is an alternative way to recover brand reputation by developing a new brand identity and positioning [57].…”
Section: Brand Management In the Crisismentioning
confidence: 73%
“…Iglesias et al (2020) [11] employed the concept of corporate branding to manage risk because it can increase customers' trust and reduce the perceived risk [12]. Recently, Wang et al (2020) [13] demonstrated that the brand image could reduce tourists' risk perception from a crisis. Many scholars, such as Balakrishnan (2011) [14], Hegner et al (2014) [15], Li and Wei (2015) [16], Falkheimer and Heide (2015) [17], have studied how firms can rescue brands from crises.…”
Section: Introductionmentioning
confidence: 99%
“…They hoped that tourism scholars would propose an innovative and creative transformation process for the tourism industry [57]. Previous research discussed crisis decision-making regarding tourism, international tourism product decisions [47], tourists' decision-making on tourist destinations [26], tourism risk perception and tourists' decision-making behavior [50] and hotel room rate decision-making [69]. However, research discussing a gap model of decision-making is lacking.…”
Section: Implications For Researchmentioning
confidence: 99%
“…Most of the early literature may be limited to the exploration of a wide range of issues related to the quantitative or qualitative nature of second-hand data analysis related to tourism issues [23][24][25][26][27], tourism management issues and related strategic issues under the pandemic [28][29][30][31][32][33], and the satisfaction issues of accommodation and restaurants under the pandemic [34][35][36][37]. Some of the researchers study the economic issues that affect the tourism industry in the COVID-19 pandemic [38][39][40][41][42][43][44], discuss the psychological issues of travel stakeholders in the pandemic [45][46][47][48][49][50], or perform research on Tourism and Virtual Reality (VR) [51][52][53]. Past research has focused on six functions.…”
Section: Introductionmentioning
confidence: 99%
“…The most common ones were vulnerability [23][24][25][26], detectability [27][28][29][30], manageability [29,[31][32][33][34][35], and time [29,[36][37][38][39]. Other more application-specific factors that have been added to the risk equations include preventability [35], layers of protection [40], resilience [41], volatility [39], experience [42], knowledge [43][44][45], social impact [46] and coping capacity [47,48], performance-shaping factors [49], and human factors [50]. Many of these methods start by defining the consequences and likelihood and then adding the other factors.…”
Section: Extended Risk Constructs Using N-tuplesmentioning
confidence: 99%