In view of 2020 outbreak of the pandemic COVID-19, the paper examines the relationship between government measures for combating the pandemic and their side effects. Panic buying is identified as one such side effect. Among various models and measures undertaken by government to manage the pandemic, timed-intervention policy is commonly practiced by most countries. This paper examines the timing effect between government measures and panic buying. Three studies were undertaken to understand the timing effect and identify a connection between timed measures and consumer behaviours. Semantic analysis, secondary data search, and big data analytics were deployed to address the research aim. Although claiming a causal relationship is cautioned, the findings reveal a connection between timing of government measures and panic buying. These findings are discussed with the support of real-life evidence. Implications for researchers and practitioners conclude this paper.
With the growth of smartphone usage the number of social media posts has significantly increased and represents potentially valuable information for management, including of natural resources and the environment. Already, evidence of using 'human sensor' in crises management suggests that collective knowledge could be used to complement traditional monitoring. This research uses Twitter data posted from the Great Barrier Reef region, Australia, to assess whether the extent and type of data could be used to Great Barrier Reef organisations as part of their monitoring program. The analysis reveals that large amounts of tweets, covering the geographic area of interest, are available and that the pool of information providers is greatly enhanced by the large number of tourists to this region. A keyword and sentiment analysis demonstrates the usefulness of the Twitter data, but also highlights that the actual number of Reef-related tweets is comparatively small and lacks specificity. Suggestions for further steps towards the development of an integrative data platform that incorporates social media are provided.
Even before the global halt to extensive mobility due to the coronavirus crisis, there has been growing resistance amongst some groups to flying. Reflecting increasing concern about the imminent climate emergency, the phenomenon of feeling ashamed of flying and expressing related emotions through communication has resulted in the neologism "flygskam". Drawing on 14,212 Twitter posts that contained "flygskam" and a further 1037 using the English "flightshame", this research examined the spatial-temporal spread of these words from Sweden starting in 2016 to the rest of the world indicating a global phenomenon. The findings indicate that national context continues to be important in understanding the nexus of individual and social sensemaking and processing of new information. They also demonstrate, however, that global networks (facilitated through social media) might challenge the needs of physical mobility as requirements to connect, exchange views, and create identity through peer group membership. Further analysis of the content revealed key perspectives and topics, providing insight into the relatively homogeneous discussions amongst a network community. Only 6% of posts rejected the notion, whilst the majority indicated support and advanced suggestions for more sustainable alternatives. It might be too early to say whether language behaviour expressed in online communication translates into real behaviour, but the current pandemic may well provide further impetus to no-fly movements by way of a strategic alliance between different peer groups.
Purpose This paper aims to examine key parameters of scholarly context and geographic focus and provide an assessment of theoretical underpinnings of studies in the field of social media and visitor mobility. This review also summarised the characteristics of social media data, including how data are collected from different social media platforms and their advantages and limitations. The stocktake of research in this field was completed by examining technologies and applied methods that supported different research questions. Design/methodology/approach This literature review applied a mix of methods to conduct a literature review. This review analysed 82 journal articles on using social media to track visitors’ movements between 2014 and November 2020. The literature compared the different social media, discussed current applied theories, available technologies, analysed the current trend and provided advice for future directions. Findings This review provides a state-of-the-art assessment of the research to date on tourist mobility analysed using social media data. The diversity of scales (with a dominant focus on the city-scale), platforms and methods highlight that this field is emerging, but it also reflects the complexity of the tourism phenomenon. This review identified a lack of theory in this field, and it points to ongoing challenges in ensuring appropriate use of data (e.g. differentiating travellers from residents) and the ethics surrounding them. Originality/value The findings guide researchers, especially those with no computer science background, on the different types of approaches, data sources and methods available for tracking tourist mobility by harnessing social media. Depending on the particular research interest, different tools for processing and visualization are available.
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