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Journal ArticleDOI

COVID-19 and repeat visitation: Assessing the role of destination social responsibility, destination reputation, holidaymakers’ trust and fear arousal

TL;DR: In this paper, the authors examined the influence of destination social responsibility on destination reputation, holidaymakers' perceived trust and their revisit intention, and investigated the moderation impact of fear arousal due to COVID-19 on the relations between visitors' revisit intention and its associated antecedents.
Abstract: This study aimed to examine the influence of destination social responsibility (DSR) on destination reputation, holidaymakers' perceived trust and their revisit intention. It also tested the direct paths between destination reputation, tourists' perceived trust and revisit intention. Moreover, it investigated the moderation impact of fear arousal due to COVID-19 on the relations between visitors' revisit intention and its associated antecedents. PLS-SEM was employed to analyze the data gathered from 543 domestic holidaymakers who have recently visited tourism destinations in Egypt. The findings indicated that tourists' revisit intention is positively and significantly influenced by DSR, destination reputation and their perceived trust. Additionally, DSR is positively linked to destination reputation and visitors' trust, which in turn is positively affected by destination reputation. The results also revealed that fear arousal negatively moderates the link between destination reputation, holidaymakers’ trust and their intention to revisit. Academic and managerial implications, limitations, and directions for future studies were also presented.
Citations
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Journal ArticleDOI
TL;DR: In this paper, the effects of social media on customer brand engagement (CBE) and their consequent impact on co-creation and revisit intention in pandemic environment were investigated. And the authors also examined the moderation impact of fear of COVID-19 and perceived risk on associations between social media, CBE, and cocreation/revisit intention, thus further contributing to existing literature.
Abstract: Applying protection motivation theory, the purpose of this study is to investigate the effects of social media on customer brand engagement (CBE) and their consequent impact on co-creation and revisit intention in pandemic environment. This study also examines the moderation impact of fear of COVID-19 and perceived risk on associations between social media, CBE, and co-creation/revisit intention, thus further contributing to existing literature. Partial least squares structural equation modeling (PLS-SEM) was adopted to examine the data collected from key tourism-destinations in Jammu/Kashmir. The findings propose that social media positively and significantly effects the CBE, which subsequently affects co-creation and revisit intention in COVID-19 times. Second, findings found that CBE's positive impact on co-creation and revisit intention. Third, findings indicated the social media's indirect effect on co-creation and revisit intention, as mediated via CBE. Thus, social media's effect on co-creation and revisit intention are more prominent under elevated CBE in pandemics. Finally, fear of COVID-19 and perceived risk negatively moderates the linkage between social media, CBE, and co-creation/revisit intention. This study concludes with key implications arising from the analyses and further research opportunities.

134 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated how residents' perceived risk, emotional solidarity, and support for tourism were interrelated amid the pandemic and found that perceived risk was negatively associated with emotional solidarity and support of tourism, and emotional solidarity had a positive impact on support for tourists.
Abstract: Due to the spread of COVID-19 and restrictions on international travel, popular destinations around the world have experienced an influx of domestic tourists. Regardless of the economic benefits that tourists could bring, residents have expressed their concerns about the health risks that would accompany tourists. Residents are not risk-proof or risk-tolerant, but the literature to date has overlooked the relevance and importance of residents' perceived risk associated with tourists. Addressing this research gap, this study investigated how residents’ perceived risk, emotional solidarity, and support for tourism were interrelated amid the pandemic. It was found that perceived risk was negatively associated with emotional solidarity and support for tourism, and emotional solidarity had a positive impact on support for tourism. Also, emotional solidarity was a partial mediator between perceived risk and support for tourism. Theoretical and practical implications of the findings are discussed within the closing of the article.

131 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the impact of perceived risk, fear and social media on tourist attitude, engagement, and revisit intention in COVID-19 pandemic situation and find that perceived risk and fear affect tourist attitude and engagement.
Abstract: This research aims to explore the impact of perceived risk, fear and social media on tourist’s attitude, engagement, and revisit intention in COVID-19 pandemic situation. The results of PLS-SEM ind...

127 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the effects of cognitive destination image shaped by media during the COVID-19 pandemic on willingness to support and post-pandemic travel intention.
Abstract: This study investigates the effects of cognitive destination image shaped by media during the COVID-19 pandemic on willingness to support and post-pandemic travel intention. Drawing upon the concept of cognitive destination image and through an online self-administered survey, the effects of four factors including trust, crisis management, healthcare system, and solidarity on travel behavioral intention are compared based on tourists’ prior experience of a given destination. To achieve this aim, ten countries with different coping strategies, numbers of positive cases and mortality rate were studied. A total number of 518 useable questionnaires were collected from the prospect international tourists who followed news related to COVID-19 for one of the selected countries and plan to travel in the future. Partial least squares – structural equation modeling and multi-group analysis were used to test the model and hypotheses. The results showed the high predictive power of the model on post COVID-19 travel behavioral intention. The findings revealed the strong and positive effects of trust and healthcare system on behavioral intention of respondents without past experience to visit a destination, whereas the effect of solidarity on behavioral intention was identified much stronger for the prospect tourists with past experience of visiting a destination. This research provides unique theoretical contributions by investigating the effects of trust, crisis management, healthcare system, and solidarity shaped by media during COVID-19 outbreak as the components of cognitive destination image on future behavioral intention across past experience of visiting a destination. This study also provides insights on post-crisis recovery factors affecting travel behavioral intention and demand.

102 citations

Journal ArticleDOI
TL;DR: In this article, the authors explore customer value perceptions of service robots and their impact on customers' attitudes and behaviors toward robotic restaurants, finding that customers' willingness to use and to pay more for robotic restaurants are determined by their attitudes toward robots, which are influenced by functional, conditional, epistemic, emotional, co-creation, and social values.
Abstract: The COVID-19 pandemic has severely affected the restaurant industry due to enforced closures and limitations on social gatherings, prompting restaurateurs to innovate and adapt in order to ensure the viability of their businesses. Pandemic has also induced changes in our perceptions of safety in public spaces, necessitating the adoption of social distancing and more widespread use of online platforms for purchasing and communication. While the pandemic might be a catalyst for the adoption of contactless technologies, some restaurateurs remain hesitant to invest in service robots because they are not convinced of the return on investment and the potential value service robots can deliver to their customers. Therefore, this study aims to explore customer value perceptions of service robots and their impact on customers’ attitudes and behaviors toward robotic restaurants. Findings yielded by a survey of 445 potential diners in Taiwan show that customers’ willingness to use and to pay more for robotic restaurants are determined by their attitudes toward robots, which are influenced by functional, conditional, epistemic, emotional, co-creation, and social values. Our survey results also reveal that the importance of conditional value is amplified by crisis-specific antecedents, namely the need for physical distancing and mysophobia. These findings have implications for restaurant pricing policies and can be considered by restaurant managers when formulating strategies aimed at sustaining their business in these challenging times. (English) [ABSTRACT FROM AUTHOR] 由于强制关闭和限制社交聚会,COVID-19大流行严重影响了餐饮业,促使餐馆经营者进行创新和调整,以确保其业务的生存能力. 流感大流行还导致我们对公共场所安全的看法发生了变化,这就需要采用社交距离,并更广泛地使用在线购物和交流平台. 虽然这种流行病可能是采用非接触式技术的催化剂,但一些餐馆老板仍然对投资服务机器人犹豫不决,因为他们不相信服务机器人能给顾客带来的投资回报和潜在价值. 因此,本研究旨在探讨顾客对服务机器人的价值认知及其对顾客对机器人餐厅态度与行为的影响. 对台湾445位潜在食客的调查结果显示,顾客对机器人餐厅的态度决定了他们对机器人餐厅的使用意愿和支付意愿,这些态度受到功能、条件、认知、情感、共同创造和社会价值观的影响. 我们的调查结果还显示,条件价值的重要性被特定危机的前因放大,即需要身体距离和神秘恐惧症. 这些发现对餐厅定价政策有一定的启示,可供餐厅经理在制定策略时加以考虑,以期在这个充满挑战的时代维持其业务. (Chinese) [ABSTRACT FROM AUTHOR] Copyright of Journal of Hospitality Marketing & Management is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

44 citations

References
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Book
01 Dec 1969
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Abstract: Contents: Prefaces. The Concepts of Power Analysis. The t-Test for Means. The Significance of a Product Moment rs (subscript s). Differences Between Correlation Coefficients. The Test That a Proportion is .50 and the Sign Test. Differences Between Proportions. Chi-Square Tests for Goodness of Fit and Contingency Tables. The Analysis of Variance and Covariance. Multiple Regression and Correlation Analysis. Set Correlation and Multivariate Methods. Some Issues in Power Analysis. Computational Procedures.

115,069 citations

Journal ArticleDOI
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...

56,555 citations

Journal ArticleDOI
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

52,531 citations


"COVID-19 and repeat visitation: Ass..." refers background in this paper

  • ...This means that CMV is not a concern for the current paper (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003)....

    [...]

Book
27 May 1998
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Abstract: Designed for students and researchers without an extensive quantitative background, this book offers an informative guide to the application, interpretation and pitfalls of structural equation modelling (SEM) in the social sciences. The book covers introductory techniques including path analysis and confirmatory factor analysis, and provides an overview of more advanced methods such as the evaluation of non-linear effects, the analysis of means in convariance structure models, and latent growth models for longitudinal data. Providing examples from various disciplines to illustrate all aspects of SEM, the book offers clear instructions on the preparation and screening of data, common mistakes to avoid and widely used software programs (Amos, EQS and LISREL). The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.

42,102 citations

Book
01 Jan 2014
TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Abstract: With applications using SmartPLS (www.smartpls.com)—the primary software used in partial least squares structural equation modeling (PLS-SEM)—this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.

13,621 citations