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Unpacking the Plus-Size Travel Movement 开启大号旅行机芯
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-31 DOI: 10.1177/00472875231195740
Michelle I-Chieh Yang
Efforts to promote inclusivity of marginalized groups in tourism have mainly focused on people with disabilities, seniors, and ethnic minorities. However, other marginalized groups such as plus-size travelers have been neglected. The Plus-Size Travel Movement draws attention to travel restrictions and ostracization from the market due to body size and intersectional identities. This study is the first of its kind to address this phenomenon. It aims to unpack the plus-size travel movement through a netnographic analysis of four major online movement platforms. The analysis reveals how community leaders mobilize with different discourses to politicize travel for plus-sized individuals and empower the community. This research seeks to stimulate further scholarly discussion about expanding theoretical approaches that examine consumer marginalization in tourism consumption beyond its current scope. It also provides recommendations for the industry, including engaging with plus-size travel influencers to establish more inclusive practices and policies and following the movement on social media closely to identify ways to enhance the experience of plus-size travelers.
促进旅游业边缘化群体包容性的努力主要集中在残疾人、老年人和少数民族。然而,其他被边缘化的群体,如大号旅行者,却被忽视了。加大码旅行运动引起了人们对旅行限制的关注,并因体型和交叉身份而被市场排斥。这项研究是第一项针对这一现象的研究。它旨在通过对四个主要在线运动平台的网络分析,揭示大型旅行运动。该分析揭示了社区领导人如何通过不同的话语动员起来,将大型个人的旅行政治化,并赋予社区权力。这项研究试图激发进一步的学术讨论,以扩大理论方法,研究旅游消费中的消费者边缘化问题。它还为该行业提供了建议,包括与大号旅行影响者接触,建立更具包容性的做法和政策,并密切关注社交媒体上的运动,以确定增强大号旅行者体验的方法。
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引用次数: 0
Resource Mobilization and Power Redistribution: The Role of Local Governments in Shaping Residents’ Pro-Environmental Behavior in Rural Tourism Destinations 资源动员与权力再分配:地方政府在乡村旅游地居民亲环境行为塑造中的作用
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-28 DOI: 10.1177/00472875231191983
Jianxing Wu, Xiongzhi Wang, Haywantee Ramkissoon, Mao-Ying Wu, Yingzhi Guo, A. Morrison
This research investigates residents’ pro-environmental behavior from the unique perspective of government-resident interactions. Guided by social movement theory, how local governments regulate residents’ waste-sorting behavior in Chinese rural tourism destinations is assessed. This longitudinal study (lasting from 2016 to 2022) uses participant observation, in-depth interviews ( N = 25), and secondary data as the key research techniques. The dual roles of local governments (i.e., resource mobilization and power redistribution) jointly shape residents’ pro-environmental behavior in the waste-sorting campaign. Resource mobilization enhances knowledge of waste-sorting and raises individuals’ environmental consciousness. Power redistribution within groups activates social networks in rural communities and changes groups’ social capital to influence residents’ collective behavior. Results are discussed in relation to how the organizational-level resource mobilization and power redistribution influence the individual-level environmental psychological and sociological factors in shaping residents’ waste-sorting behavior. Practical recommendations are offered for sustainable tourism management from a social interaction perspective.
本研究从政府与居民互动的独特视角考察居民的亲环境行为。在社会运动理论的指导下,对中国乡村旅游地地方政府如何规范居民垃圾分类行为进行了评估。本研究采用参与观察、深度访谈(N = 25)和二手数据为主要研究技术,研究时间为2016 - 2022年。地方政府的双重角色(即资源调动和权力再分配)共同塑造了居民在垃圾分类活动中的环保行为。资源调动提高了对废物分类的认识,提高了个人的环保意识。群体内部的权力再分配激活了农村社区的社会网络,改变了群体的社会资本,从而影响了居民的集体行为。研究结果探讨了组织层面的资源动员和权力再分配如何影响个体层面的环境心理和社会因素对居民垃圾分类行为的影响。从社会互动的角度对可持续旅游管理提出了切实可行的建议。
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引用次数: 1
Travelers’ Coping Strategies in the Backdrop of Revenge Tourism 报复性旅游背景下的旅游者应对策略
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-28 DOI: 10.1177/00472875231193596
N. Meenakshi, A. Dhir, Raj V. Mahto, J. Nicolau, Puneet Kaur
The recent COVID-19 pandemic was a large-scale, prolonged crisis for the tourism industry. However, there has been an unprecedented surge in travel in the post-pandemic period. This study explores the motivation and coping strategies employed by travelers in the post-pandemic period. A multi-stage qualitative study was undertaken using three waves of data collection with travelers who engaged in revenge tourism in the post-pandemic period. Findings revealed that disengagement was the main motivation to travel during this period. Three coping strategies were employed by travelers to overcome the crisis—engaging in growth, seeking strength, and hope and cautious optimism. Coping strategies employed by travelers enabled them to overcome the tensions experienced during the pandemic lockdown. These findings present a clear delineation of how travelers recover from the adversities of a pandemic crisis to travel again in its aftermath, thus contributing significantly to the tourism literature.
最近的COVID-19大流行对旅游业来说是一场大规模、长期的危机。然而,在大流行后时期,旅行出现了前所未有的激增。本研究探讨了大流行后时期旅行者的出行动机和应对策略。对大流行后时期从事复仇旅游的旅行者进行了三波数据收集,开展了一项多阶段定性研究。调查结果显示,在此期间,脱离工作是旅行的主要动机。旅行者们采用了三种应对策略来克服危机——参与增长、寻求力量、希望和谨慎的乐观。旅行者采取的应对策略使他们能够克服大流行封锁期间经历的紧张局势。这些发现清楚地描述了旅行者如何从大流行危机的逆境中恢复过来,并在危机过后再次旅行,从而对旅游文献做出了重大贡献。
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引用次数: 0
What Makes Tourists Use Public Transport? Value-Belief-Norm Theory, Environmental, Social, and Governance Factors, and the Sustainable Development Goals 是什么让游客使用公共交通工具?价值信念规范理论、环境、社会和治理因素与可持续发展目标
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-21 DOI: 10.1177/00472875231191708
M. Kim, C. M. Hall, Namho Chung, Minseong Kim, Kwonsang Sohn
Fifty percent of emissions must be cut by 2030 and net zero emissions by 2050 to keep global warming below 1.5°C. Transport is a major component of tourism’s contribution to climate change. Therefore, encouraging tourists to use less energy intensive public transport is an important strategy in reducing tourism emissions. Despite the crucial role of public transport for sustainable tourism, the area remains substantially under researched and theoretically uninformed. To fill the research gap, an extended-value-belief-norm (EVBN) model was created and assessed, including environmental, social, and governance (ESG) factors, air quality, and climate change, and comparing the Sustainable Development Goals (SDGs) groups of fair distribution, efficient allocation, and sustainable scale. Results revealed that an EVBN model well explains tourist behavior for public transport, showing the significant distinct effect of ESG components and SDG groups in the research model, and providing theoretical and managerial insights with respect to tourist use of public transport.
到2030年必须减少50%的排放,到2050年必须实现净零排放,以将全球变暖控制在1.5°C以下。交通是旅游业应对气候变化的主要组成部分。因此,鼓励游客使用能源密集度较低的公共交通工具是减少旅游排放的重要策略。尽管公共交通在可持续旅游业中发挥着至关重要的作用,但该地区的研究仍然严重不足,理论上也一无所知。为了填补研究空白,创建并评估了一个扩展价值信念规范(EVBN)模型,包括环境、社会和治理(ESG)因素、空气质量和气候变化,并比较了公平分配、高效分配和可持续规模的可持续发展目标组。结果表明,EVBN模型很好地解释了游客对公共交通的行为,显示了研究模型中ESG成分和SDG群体的显著不同影响,并为游客使用公共交通提供了理论和管理见解。
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引用次数: 1
Risk, Trust, and the Roles of Human Versus Virtual Influencers 风险、信任和人与虚拟影响者的角色
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-19 DOI: 10.1177/00472875231190601
Nisreen Ameen, J. Cheah, F. Ali, D. El‐Manstrly, Roberta Kulyciute
Drawing on the theory of sociology of trust and risk, this study proposes and empirically tests a conceptual model of tourists’ new destination visit intentions. The model links tourists’ subjective knowledge to trust and risk perceptions and explores the moderating effects of social media influencers (human vs. virtual) and tourists’ psychographic factors in this context. Data were collected from two studies: Study 1, through a survey distributed to participants in Malaysia ( n = 493 valid responses); and Study 2, through a between-subjects design experiment with another sample of participants in Malaysia ( n = 470 valid responses). The findings expand knowledge in tourism research by showing that destination trust mediates how subjective knowledge influences perceived risk. Optimism and life satisfaction have significant moderating effects in this context. Furthermore, the relationship between destination trust and visit intention is moderated by human and virtual influencers, according to whether their message is positive or negative.
本研究借鉴信任与风险社会学的理论,提出并实证检验了游客新目的地访问意向的概念模型。该模型将游客的主观知识与信任和风险感知联系起来,并探讨了社交媒体影响者(人与虚拟)和游客心理因素在这一背景下的调节作用。数据来自两项研究:研究1,通过向马来西亚参与者分发的调查(n=493份有效回复);以及研究2,通过对马来西亚另一个参与者样本进行受试者间设计实验(n=470个有效回答)。研究结果表明,目的地信任是主观知识如何影响感知风险的中介,从而拓展了旅游研究的知识面。在这种情况下,乐观主义和生活满意度具有显著的调节作用。此外,目的地信任和访问意图之间的关系由人类和虚拟影响者根据他们的信息是积极的还是消极的来调节。
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引用次数: 1
Vectorize Me! A Proposed Machine Learning Approach for Segmenting the Multi-optional Tourist Vectorize我!一种基于机器学习的多选项游客分割方法
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-18 DOI: 10.1177/00472875231183162
R. Egger
Contemporary consumer behavior is characterized by its multidimensionality and complexity, which, at the same time, pushes traditional segmentation approaches to their limits. In response, this methodological study proposes a multistage machine learning-based segmentation process using semiotic-semantic community detection. This innovative method was conducted exemplarily and evaluated on a representative sample of 1,101 German travelers. The main contribution of this study lies in the novel use of word vectors, which result from assigning a semiotic meaning to travel-type images. Thus, high-dimensional data could be used during the segmentation process, overcoming several classical segmentation problems. By using semantic similarities, tourists could be grouped and represented in their multidimensionality. From a theoretical perspective, this study was inspired by postmodern tourism practices in order to better understand the (oftentimes) hybrid and multilayered behaviors of tourists. To make this innovative approach reproducible, recommendations for implementation and all necessary data have been provided.
当代消费者行为具有多维性和复杂性,同时也将传统的细分方法推向了极限。作为回应,本方法论研究提出了一种使用符号语义社区检测的基于机器学习的多阶段分割过程。这一创新方法以1101名德国旅行者为代表进行了示范和评估。本研究的主要贡献在于词向量的新颖使用,这是为旅行型图像赋予符号意义的结果。因此,在分割过程中可以使用高维数据,从而克服了几个经典的分割问题。通过使用语义相似性,游客可以在多维度上进行分组和表示。从理论角度来看,本研究受到后现代旅游实践的启发,以更好地理解游客(通常)的混合和多层行为。为了使这种创新方法具有可复制性,已经提供了实施建议和所有必要的数据。
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引用次数: 0
Effects of Value-Belief-Norm Theory, ESG, and AI on Space Tourist Behavior for Sustainability With Three Types of Space Tourism 价值信念规范理论、ESG和AI对三种类型空间旅游可持续性空间游客行为的影响
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-18 DOI: 10.1177/00472875231191514
M. Kim, C. M. Hall, Ohbyung Kwon, Kwonsang Sohn
Since reusable launch vehicles have revolutionized access to space, space tourism has received enormous policy and research attention. However, such growth is occurring within a wider context of concerns over climate change, emissions, and space debris. Although the space industries have enormous environmental impacts, few studies have been undertaken on the sustainability of space tourism. Therefore, we aim to create and assess an extended value-beliefs-norms theory with environmental, social, and governance (ESG) factors, trust in artificial intelligence (AI), and the benefits of AI, in comparing three types of space tourism (Earth, suborbital, and orbital). To achieve the goals, multi-method analyses of 1,000 respondents were applied, including partial least squares-structural equation modeling, multi-group analysis, fuzzy-set Qualitative Comparative Analysis, and deep learning. Results revealed that the extended value-belief-norm model well explains space tourist behavior, ESG also has significant roles on the research model, and the three types have unique characteristics.
由于可重复使用的运载火箭彻底改变了进入太空的方式,太空旅游受到了政策和研究的极大关注。然而,这种增长是在对气候变化、排放和空间碎片的担忧的更广泛背景下发生的。虽然空间工业具有巨大的环境影响,但对空间旅游的可持续性进行的研究很少。因此,我们的目标是在比较三种类型的太空旅游(地球、亚轨道和轨道)时,创建和评估一个包含环境、社会和治理(ESG)因素、对人工智能(AI)的信任以及人工智能的好处的扩展价值信念规范理论。为了实现这一目标,我们对1000名受访者进行了多方法分析,包括偏最小二乘结构方程模型、多组分析、模糊集定性比较分析和深度学习。结果表明,扩展价值-信念-规范模型能很好地解释太空游客行为,ESG对研究模型也有显著作用,且三种模型各有特点。
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引用次数: 1
What is Unique in the Brains of Frontline Employees? A Structural Neuroimaging Study 一线员工的大脑有什么独特之处?结构神经影像学研究
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-17 DOI: 10.1177/00472875231190602
Robin Chark, G. McCartney
Picking up nuances of facial expression is a crucial part of frontline employee–guest interaction, yet little is known about its neurocognitive mechanism. We use a neuroimaging approach to explore the individual differences in cognitive processing style of front-of-house (FoH) employees by comparing their brain structures with those back-of-house (BoH). A voxel-based morphometry analysis of 63 senior hotel executives’ brain images reveals that the grey matter volume in the occipital and fusiform face areas of FoH employees is greater than that of BoH employees and does not depend on the length of frontline experience. These regions have been implicated in facial expression recognition that is critical to the success in frontline roles. Our findings support the social brain hypothesis. To support sophisticated social cognition, resources are diverted to brain development associated with facial expression recognition. This development trajectory follows deferred adaptation, rather than conditional adaptation, proposed in developmental evolutionary psychology.
捕捉面部表情的细微差别是一线员工与客人互动的重要组成部分,但人们对其神经认知机制知之甚少。本研究采用神经影像学方法,通过对前厅(FoH)员工与后厅(BoH)员工的大脑结构进行比较,探讨前厅(FoH)员工认知加工风格的个体差异。一项基于体素的形态学分析显示,63位酒店高管的大脑图像显示,FoH员工枕部和梭状回面部区域的灰质体积大于BoH员工,并且与一线经验的长短无关。这些区域与面部表情识别有关,而面部表情识别对前线角色的成功至关重要。我们的发现支持社会大脑假说。为了支持复杂的社会认知,资源被转移到与面部表情识别相关的大脑发育上。这种发展轨迹遵循了发展进化心理学中提出的延迟适应,而不是条件适应。
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引用次数: 1
Reading the Identity of Dark Heritage Sites: A Peircean Semiotic Methodology 解读黑暗遗产遗址的身份:一种皮尔海符号学方法论
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-11 DOI: 10.1177/00472875231191713
A. Dimache, Zhuolin Qiu
Shared symbolism and ideology at dark heritage sites construct the narrative of a collective national destiny. Visitors’ experiences with such sites necessarily involve decoding signs and symbols. The commonality in interpretative practices is rooted in “collateral knowledge” and forms the identity of place. Yet, cultural materiality, collective identities, and semiotics have been overlooked by dark tourism academia. In broader tourism studies, semiotic attempts lack methodological homogeneity and congruence and efforts to transpose Charles Peirce’s semiotic theory into practical experiential methodologies are scarce. This study introduces a practical, systematic, and replicable semiotic methodology for reading the identity of dark heritage sites. This methodology revolves around three interconnected Peircean concepts: the sign, the collateral knowledge, and the sign’s relationship to its dynamical object. It is proposed that reading the indexical, iconical, and symbolical functions of signs through the filter of collateral knowledge can ensure a systematic meaning-making process and reveal subtle influences.
黑暗遗址的共同象征和意识形态构建了集体国家命运的叙事。游客在这些网站上的体验必然涉及解码符号和符号。阐释实践中的共同性根植于“附带知识”,形成了地方的同一性。然而,文化物质性、集体身份和符号学一直被黑暗旅游学术界所忽视。在更广泛的旅游研究中,符号学的尝试缺乏方法论的同质性和一致性,将查尔斯·皮尔斯的符号学理论转化为实践经验方法的努力很少。本研究介绍了一种实用的、系统的、可复制的符号学方法,用于解读黑暗遗产遗址的身份。这种方法论围绕着三个相互关联的概念:符号、附属知识和符号与其动态对象的关系。作者认为,通过间接知识的过滤来解读符号的索引、象征和象征功能,可以确保一个系统的意义形成过程,并揭示微妙的影响。
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引用次数: 1
Asymmetrical Influences of Service Robots’ Perceived Performance on Overall Customer Satisfaction: An Empirical Investigation Leveraging Online Reviews 服务机器人感知绩效对整体客户满意度的非对称影响——基于在线评价的实证研究
IF 8.9 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-08-09 DOI: 10.1177/00472875231190610
M. Borghi, Marcello M. Mariani
Service scholars seem to have empirically overlooked the impact of service robots in the overall customer evaluation of tourism services. This study addresses this gap by leveraging three-factor theory and electronic Word-Of-Mouth data to assess human-robot interaction’ influence on customer satisfaction. Text analytics are deployed alongside a penalty-reward contrast technique on almost 70,000 online reviews spanning 44 hotels worldwide that incorporated service robots into their operations. Customer satisfaction with hospitality services is significantly increased by positive service robots’ performance, while no significant effect is associated with negative service robots’ performance. The traveler type does not moderate the relationship between service robots’ performance and customer satisfaction. These findings, confirmed through Propensity Score Matching, reveal that service robots constitute an “excitement factor” in hospitality service offerings, thus providing a strong incentive for their integration into the workforce. Policymakers are urged to proactively facilitate the transition to a more automated service economy.
服务学者似乎从经验上忽视了服务机器人在旅游服务整体客户评价中的影响。本研究通过利用三因素理论和电子口碑数据来评估人机交互对客户满意度的影响,从而解决了这一差距。文本分析与惩罚-奖励对比技术一起部署在全球44家酒店的近70000条在线评论上,这些评论将服务机器人纳入了他们的运营中。积极的服务机器人表现显著提高了客户对酒店服务的满意度,而消极的服务机器人的表现没有显著影响。旅行者类型并不能调节服务机器人的性能和客户满意度之间的关系。这些发现通过倾向得分匹配得到了证实,表明服务机器人构成了酒店服务中的一个“兴奋因素”,从而为他们融入劳动力提供了强有力的激励。敦促政策制定者积极推动向更加自动化的服务经济转型。
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引用次数: 0
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Journal of Travel Research
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