ABSTRACT
The high infectivity and uncertainty of COVID-19 could intensify the tourists' psychological anxiety, and further greatly hinder the tourist flow and tourism recovery. Finding ways to ease tourist anxiety and renew their travel confidence is a critical issue that has remained unsolved during COVID-19. The government and tourist destination, providing and guaranteeing tourism activities, are helpful to alleviate tourist anxiety. Therefore, fuzzy-set qualitative comparative analysis (fsQCA) and social support theory were used to explore how to alleviate tourist anxiety from the dual perspectives of the government and the destination. The results indicate that there are seven configurations for alleviating tourists' psychological anxiety, and the role of both government and destination are core factors. Among them, the positive destination image is indispensable. Moreover, there is a substitution between crisis management effectiveness and destination sustainability. The research deepens the matching relationship between multidimensional antecedents and tourist anxiety, promotes the application of social support theory in tourist negative emotion, and expands the research framework of tourist anxiety influenced by major crisis events. Our findings provide practical implications for the government and tourist destinations in dealing with major crises and contribute to tourism recovery and competitiveness remodelling during COVID-19. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
Purpose: Virtual tourism has become popular in recent years. However, there is still a research gap on virtual tourist motivation. This study aims to identify virtual tourist motivation and explore the relationship between virtual tourism and on-site tourism. Design/methodology/approach: This research identifies virtual tourist motivation based on Means-end chain (MEC) theory. Laddering interviews with 32 respondents were conducted to construct a hierarchical value map. Additionally, a motivation analysis of virtual tourism and on-site tourism was developed based on a review of the relevant literature. Findings: This exploratory study revealed 12 attributes, 9 results and 4 values that virtual tourists wish to achieve and identified 5 means-end chains where self-satisfaction is the most important value-led motivation. Compared with on-site tourism motivations, virtual tourism shows possibilities of replacing, complementing and extending on-site tourism under certain circumstances. However, it significantly depends on whether tourists are attracted by the technical characteristics, security and experience conditions of virtual tourism. Originality/value: This study contributes to understanding virtual tourist motivation and offers motivation-based insights into the relationship between virtual and on-site tourism. Managerial implications on how to attract potential online tourists are also provided. © 2023, Emerald Publishing Limited.
ABSTRACT
Although the government contributes to the tourism recovery, the influence of the government on the micro-perceptions of tourism managers remains limited. The results of 415 samples demonstrate that government crisis management restores managers' confidence through different mediation of the sense of gain. Information and communication management improve only their sense of spiritual gain, while human resource development enhance merely their sense of material gain. Moreover, environmental uncertainty shows no moderation on restoring the managers' confidence. This study develops a theoretical framework for tourism crisis management and provides policy implications for the development of small tourism enterprises in times of crisis.
ABSTRACT
As the growing proportion of aging population, the demand for sustainable, high quality, and timely healthcare services has become increasingly pressing, especially since the outbreak of COVID-19 pandemic in the early of 2020. To meet this demand, a promising strategy is to introduce cloud computing and digital twin techniques into the healthcare systems, where the cloud server is employed for storing healthcare data and offering efficient query services, and the digital twin is used for building digital representation for patients and leverages the query services of the cloud server to monitor healthcare states of patients. Although several cloud computing and digital twin based healthcare monitoring frameworks have been proposed, none of them has considered the data privacy issue, yet the leakage of the private healthcare information may cause catastrophic losses to patients. Aiming at the challenge, in this paper, we propose an efficient and privacy-preserving similarity query based healthcare monitoring scheme over digital twin cloud platform, named PSim-DTH. Specifically, we first formalize a similarity query based healthcare monitoring model over digital twin cloud platform. Then, we deploy a partition-based tree (PB-tree) to index the healthcare data and introduce matrix encryption to propose a privacy-preserving PB-tree based similarity range query (PSRQ) algorithm. Based on PSRQ algorithm, we propose our PSim-DTH scheme. Both security analysis and performance evaluation are extensively conducted, and the results demonstrate that our proposed PSim-DTH scheme is really privacy-preserving and efficient.