13 research outputs found

    Tourism Destination Competitiveness: A Supply and Demand Perspective

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    a big data approach

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    Purpose: The purpose of this paper is to propose and demonstrate how Tourism2vec, an adaptation of a natural language processing technique Word2vec, can serve as a tool to investigate tourism spatio-temporal behavior and quantifying tourism dynamics. Design/methodology/approach: Tourism2vec, the proposed destination-tourist embedding model that learns from tourist spatio-temporal behavior is introduced, assessed and applied. Mobile positioning data from international tourists visiting Tuscany are used to construct travel itineraries, which are subsequently analyzed by applying the proposed algorithm. Locations and tourist types are then clustered according to travel patterns. Findings: Municipalities that are similar in terms of their scores of their neural embeddings tend to have a greater number of attractions than those geographically close. Moreover, clusters of municipalities obtained from the K-means algorithm do not entirely align with the provincial administrative segmentation.authorsversionpublishe

    Measuring the effects of event sponsorship: theoretical frameworks and image transfer models

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    The use of event sponsorship or other types of sponsorship as a means to establish, enhance, or change brand image is a fairly common practice for a variety of organizations. This objective has been identified as one of the two most common goals for organizations to engage in sponsorship programs. The rationale behind the popularity of sponsorship as a marketing tool to achieve image goals is the general assumption that, by linking a brand to an event, the image of the event can be transferred to the image of the sponsor. Despite the increasing sophistication of event sponsorship and rising academic interest in understanding sponsorship practice, there is still a lack of in-depth understanding of how sponsorship processes work, in particular in what concerns its brand outcomes. The article addresses this issue by documenting, examining, and critically assessing the existing literature. The main explanations of brand image transfer, including theoretical frameworks and models, are presented; empirical research, divided into effectiveness of brand image transfer and the factors affecting such process, is analyzed; and two main issues found in the more recent articles-direction of brand image transfer and multiple sponsorships-are discussed. Finally, existing gaps are identified and research propositions are presented to guide future research

    Destination competitiveness: what we know, what we know but shouldn't and what we don't know but should

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    Two decades after the seminal work of Crouch and Ritchie [(1999). Tourism, competitiveness, and societal prosperity. Journal of Business Research, 44(3), 137–152], which triggered an avalanche of research on the topic, there is an extensive and still-growing body of literature on destination competiveness. Research on competitiveness, in the context of tourism destinations and even in its parent field of economics, has been characterized by controversy and strong criticism. Given the complexity of the phenomenon, the multiplicity of perspectives taken on it and the current stage of knowledge, there is a clear need for a reflective audit that enables a careful consideration on the knowledge acquired with past research as well as a well-thought-out identification of the needs for future research. Only such meticulous process will ensure the progress of this field of enquiry. The wide-spread acknowledgement of the importance of competitiveness for a destination's long-term success in addition to the constant comments that it is still a topic not well understood, suggests that research on it still has a long future ahead. This article embraces this challenging task by documenting, examining and critically assessing the existing literature on three dimensions: definitions, theoretical models and measurement. In addition, existing gaps are identified and research propositions are presented to guide future research

    Destination competitiveness: a phenomenographic study

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    The destination competitiveness literature, while well established, is fraught with inconsistencies over its definition, measurement and its legitimacy as a topic of research. Given the divide that exists, this paper proposes a phenomenographic approach to the study of destination competitiveness. Specifically, the paper argues that efforts to advance destination competitiveness should be preceded by a better understanding of how destination stakeholders is conceptualize the term

    Factors influencing motivations and expectations of field trip attendance

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    This paper examines students' motivations for participating in field trips and analyses students' expectations in an attempt to identify the influence of three variables: age, level of education, and previous work experience. Results demonstrate that students' reasons for participation are diverse, and while the results are specific for the case analysed, they support prior research, suggesting that students develop very positive attitudes and perceptions towards field trips

    Analyzing and Leveraging Social Media Disaster Communication of Natural Hazards: Community Sentiment and Messaging Regarding the Australian 2019/20 Bushfires

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    This research presents a new model based on Twitter posts and VADER algorithms to analyze social media discourse during and following a bushfire event. The case study is the Gold Coast community that experienced the first bushfire event of Australia’s severe Black Summer in 2019/2020. This study aims to understand which communities and stakeholders generate and exchange information on disasters caused by natural hazards. In doing so, a new methodology to analyze social media in disaster management is presented. This model enables stakeholders to understand key message themes and community sentiment during and following the disaster, as well as the individuals and groups that shape the messaging. Three main findings emerged. Firstly, the results show that messaging volume is a proxy for the importance of the bushfires, with a clear increase during the bushfire event and a sharp decline after the event. Secondly, from a content perspective, there was a consistent negative message sentiment (even during recovery) and the need for better planning, while the links between bushfires and climate change were key message themes. Finally, it was found that politicians, broadcast media and public commentators were central influencers of social media messaging, rather than bushfire experts. This demonstrates the potential of social media to inform disaster response and recovery behavior related to natural hazards
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