Concerns or Desires Post-Pandemic: An Extended MGB Model for Understanding South Korean Residents’ Perceptions and Intentions to Travel to China

Qiao, Guanghui; Zhao, Xiaoli; Xin, Luqi; Kim, Seok-chool

doi:10.3390/ijerph18052542

Cited by 12 publications

(15 citation statements)

References 49 publications

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“…In line with these findings, previous studies [24,25,30] demonstrated that stronger positive emotions (e.g., emotional solidarity) explained individuals' increased willingness to engage in more intimate interactions (i.e., affinity) with others. Consistent with previous studies carried out by Qiao et al [47] showing that residents' negative anticipated emotions lead to a lower desire to travel, and Thyne et al [30], reporting that residents' negative perceptions of tourism increased their perceptions of social distance (less intimate-distal and more intimate-proximal) with tourists, the present study revealed that accommodating emotions was a negative significant predictor of both degrees of intimate activities (H 11 and H 12 ).…”

Section: Discussionsupporting

confidence: 91%

Social Distance with Tourists in U.S. Counties with the Highest Historical Numbers of Reported COVID-19 Cases

Woosnam,

Erul,

Russell

et al. 2023

Sustainability

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With destinations steadily ‘opening back up for business’ (while COVID-19 cases are still high in many areas), there is an increasing need to consider residents. Integrating the cognitive appraisal theory and the affect theory of exchange, this work tests a structural model examining the degree to which residents’ perceptions of COVID-19 precautionary measures explain emotions directed toward visitors, and ultimately their willingness to engage in shared behaviors with tourists. Data were collected from 530 residents in 25 U.S. counties with the highest percentages of historical COVID-19 cases per population. A total of 10 of the 12 tested hypotheses were significant, contributing to 60% and 85% of the variance explained in contending and accommodating emotions, and 53% and 50% of the variance explained in engaging in less intimate–distal and more intimate–proximal behaviors with tourists. The implications highlight the complementary use of the two frameworks in explaining residents’ preference for engagement in less intimate–distal interactions with tourists.

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Section: Discussionsupporting

confidence: 91%

Social Distance with Tourists in U.S. Counties with the Highest Historical Numbers of Reported COVID-19 Cases

Woosnam,

Erul,

Russell

et al. 2023

Sustainability

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“…COVID-19-related anxiety symptoms have been noted (Luo & Lam, 2020;Zenker et al, 2021). In tourism, anxiety may stem from various sources like socio-cultural, terrorism, health, or financial concerns, leading to reduced travel motivation (Chua et al, 2021;Qiao et al, 2021;Reisinger & Mavondo, 2005). Research indicates that the pandemic's risk perception has had negative effects on travel intentions, often driven by anxiety (Chua et al, 2021;Luo & Lam, 2020;Quintal et al, 2022;Zheng et al, 2022;Zenker et al, 2021).…”

Section: B Social Media Impactmentioning

confidence: 99%

Tourist Motivation and Revisitation in Jeju During COVID-19: Insights and Post-Pandemic Implications

2024

Glob Bus Financ Rev

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Purpose: This study aims to identify controllable factors influencing domestic tourists’ revisits, taking into account concerns and desires related to travel to inform domestic tourism marketing strategies. Design/methodology/approach: The study gathered data through a preliminary survey of 930 participants who had visited Jeju Island in February 2022. It utilized analytical methods like factor analysis and structural equation modeling (PLS-SEM) to assess the factors influencing revisits by domestic tourists. Findings: Emotional and cognitive factors significantly influence behavioral intentions, with the perceived risk of the pandemic having a paradoxical effect, positively impacting attitudes and revisit intentions despite stimulating negative emotions and anxiety among tourists, consistent with the observed surge in domestic tourist numbers on Jeju Island. Research limitations/implications: Limitations of this study include distinguishing between motivations for domestic and international tourism in crisis situations and highlighting the importance of conducting in-depth socio-demographic analyses for better understanding. This study identifies travel motivations within specific cultural groups and informs destination management and tourism resource development strategies. Originality/value: This study’s innovative blend of the S-O-R model and Theory of Reasoned Action provides key insights into tourist behavior. The findings on Jeju Island’s resilience as a domestic tourist destination during the COVID-19 pandemic have crucial implications, emphasizing the need for ongoing efforts to enhance tourists’ experiences and adapt to changing external factors in the tourism industry.

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“…Previous studies illustrated the need of conjoint efforts from governments, health professionals and local communities in the construction of open communications, public health infrastructures and capabilities to provide in-time response and measures in dealing with global health emergencies. These measures included testing, sanitation, social distancing and mobility tracing (Qiao, Zhao, Xin, & Kim, 2021;V arzaru, Bocean, & Cazacu, 2021;Villac e-Molinero, Fern andez-Mun ˜oz, Orea-Giner, & Fuentes-Moraleda, 2021).…”

Section: Prevention Measures Under the Pandemic Backdropsmentioning

confidence: 99%

Tourism and COVID-19 in China: recovery and resilience strategies of main Chinese tourism cities

Yang

Hernández‐Lara

2022

IJTC

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Purpose The purpose of this study is to investigate the recovery and resilience tourism strategies and possible future development of four main Chinese tourism cities. Design/methodology/approach The authors collected data from the official accounts of tourism administrations of these cities, tourist attractions and opinions from media and newspapers in Sina Weibo platform. The authors adopted an inductive approach in observing relevant social media posts and applied content analysis to identify main China’s tourism prevention and recovery strategies. Findings During the mass pandemic infection period, top-down prevention and control measures were implemented by the Chinese central and local governments, with feasible and regional recovery policies and protocols being adapted according to local situations. Measures related to tourism industrial re-employment, improvement of international images and governmental financial supports to re-boost local tourism in Chinese cities were paid great attention. Digitalization, close-to-nature and cultural heritages became important factors in the future development of China’s tourism. Dark tourism, as a potential tourism recovery strategy, also obtained huge emergence, for the memory of people deceased in the pandemic and for the inheritance of national patriotism. Originality/value This study enriches the current literature in urban tourism recovery studies analyzing the specific case of Chinese tourism cities and fulfill some voids of previous research mostly focused on the first wave of the pandemic and the recovery strategies mainly of Western cities. It also provides valuable suggestions to tourism practitioners, destinations and urban cities in dealing with regional tourism recession and finding possible solutions for the scenario associated to the COVID-19 and other similar health crisis.

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Concerns or Desires Post-Pandemic: An Extended MGB Model for Understanding South Korean Residents’ Perceptions and Intentions to Travel to China

Cited by 12 publications

References 49 publications

Social Distance with Tourists in U.S. Counties with the Highest Historical Numbers of Reported COVID-19 Cases

Social Distance with Tourists in U.S. Counties with the Highest Historical Numbers of Reported COVID-19 Cases

Tourist Motivation and Revisitation in Jeju During COVID-19: Insights and Post-Pandemic Implications

Tourism and COVID-19 in China: recovery and resilience strategies of main Chinese tourism cities

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