Real time response (RTR): Conceptualizing a smart systems approach to destination resilience

Bethune, Elecia; Buhalis, Dimitrios; Miles, Lee

doi:10.1016/j.jdmm.2021.100687

Cited by 46 publications

(33 citation statements)

References 83 publications

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“…This paper also demonstrates how a stronger focus on smartness and real-time can condense space and time and increase a destination’s adaptive response capacity (Bethune et al 2022 ). Indeed, the real-time analysis of these data, which is a fundamental component for STD development (Buhalis and Amaranggana 2015 ), can contribute within the presented methodology to develop the emerging body of work on Destination Resilience and in particular on the integration of resilience thinking into operational and decision-making settings of a STD.…”

Section: Discussionmentioning

confidence: 68%

“…Finally, the link between STDs and crisis management has been reinforced thanks to the “Destination Resilience” concept development (Prayag 2018 ), based on an emerging area of research, that aims at supporting tourism managers and policy-makers in the development of more adaptive strategies in the face of vulnerabilities, growing risks and the uncertainty of crises and disasters (Bethune et al 2022 ). Gretzel and Scarpino-Johns ( 2018 ) modelled a five-pillar framework of smart destination resilience, suggesting “smart tourism infrastructure and governance to equip smart destinations with sensing, opening, sharing, governing, and innovating capacities that can enhance destination resilience by supporting six specific resilience conditions”.…”

Section: Literature Reviewmentioning

confidence: 99%

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How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

et al. 2022

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From March 2020, restrictive measures have been taken to limit the Covid-19 pandemic, thus impacting and hugely affecting the tourism industry. In this new scenario, tourism destination managers and stakeholders need to look ahead to the future, trying to wisely react to overcome this crisis. This paper aims at demonstrating how a Smart Tourism Destination can tackle the consequences of the Covid-19 pandemic using smart and digital technologies such as Big Data and Analytics. In particular, the monitoring of Italian public debates on social media allowed discovering knowledge from unstructured data that provide valuable insights for destination stakeholders and decision-makers.

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Section: Discussionmentioning

confidence: 68%

Section: Literature Reviewmentioning

confidence: 99%

How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

et al. 2022

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“…Education in terms of precautionary behavior as a result of risk perception and its associated effects will remain challenging for the future, while creating avenues for further research projects. Future studies should particularly focus on digital signage, which enables real-time communication with hikers (Bethune et al , 2022; Buhalis and Sinarta, 2019).…”

Section: Discussionmentioning

confidence: 99%

Hiking tourism: educating hikers through the interpretation of on-site information and predicting precautionary behavior

Scholl-Grissemann

Peters

Bichler

et al. 2022

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Purpose Hiking is a popular tourism activity across the globe. Although hiking is considered a “soft” adventure activity with little risk and challenge, hikers are also confronted with dangerous situations where risky behavior can lead to fatalities. This study aims to understand the moderating role of hiking motives on hikers’ precautionary behavior, while providing implications for destination management organizations. Design/methodology/approach This study conducted a 3×2 between-subjects online experiment (N = 181), manipulating the on-site information and visibility of potential hazards. Moderation analyses (SPSS PROCESS) were applied to derive the differences between the hiking motives of competitiveness/exhibitionism, playing to the limit and sociability on precautionary behavior. Findings The findings can inform effective hiking trail signage efforts, helping identify potential indications of risky behavior. The findings also importantly underline the moderating role of playing to the limit and competitiveness as they regard the risk perception–precautionary behavior relationship. Originality/value The implications of this study are directed toward destination management organizations, and how to promote precautionary hiking behavior based on hikers’ motivations.

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“…Through the co-citation literature clustering and keyword clustering of organizational resilience, the research focus of organizational resilience can be sorted into four aspects-the research background, research object, research method, and research topic-and the keyword co-occurrence clustering report is presented in Table 8. 2022) [67] noted that as risks at the local, national, and international levels are increasingly systemic and unpredictable, destinations need enhanced resilience for faster recovery and development.…”

Section: Figure 13 Keyword Co-occurrence Network Related To Organizat...mentioning

confidence: 99%

Visualization Analysis of Organizational Resilience Research Based on CiteSpace From 1990–2022

Liu

Han

2022

IEEE Access

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The world is currently dealing with the aftermath of the coronavirus disease 2019 (COVID-19) pandemic, which has resulted in momentous changes, the likes of which had not been witnessed within the previous century. These adverse events and the resulting uncertainty have posed enormous challenges to organizations, and many are on the verge of collapse. Organizations urgently need to enhance their risk management abilities and capacity to cope with crises, and organizational resilience, as such a tool, has attracted widespread attention in China and abroad. The purpose of this study is to understand the research status and development trend of organizational resilience. In this study, we applied CiteSpace to perform a visual analysis. Searching for topics related to organizational resilience, we retrieved papers published from 1990-2022 in the Web of Science Core database. Second, we constructed an author, institution, and country/region collaboration network to identify the most prolific authors, institutions and countries, respectively. The distribution of core journals determined by journal co-citations, the document co-citation network, and a clustering analysis revealed the research topics and knowledge structure, the author co-citation network revealed which authors were influential, the keyword co-citation network indicated popular research topics, and the keyword bursts highlighted the research fields. This paper analyzes the main contributions of organizational resilience research at the author, institution, and country levels; knowledge sources; interdisciplinary characteristics and research areas in organizational resilience; and direction of future research.

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Real time response (RTR): Conceptualizing a smart systems approach to destination resilience

Cited by 46 publications

References 83 publications

How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

Hiking tourism: educating hikers through the interpretation of on-site information and predicting precautionary behavior

Visualization Analysis of Organizational Resilience Research Based on CiteSpace From 1990–2022

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