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Fly green: environmentally specific servant leadership and its impact on green performance outcomes 绿色飞翔:环保型仆人式领导及其对绿色绩效成果的影响
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-12-01 DOI: 10.1080/13683500.2023.2288664
Sanaz Vatankhah, Odett Felicia Fejes, Osman M. Karatepe, Saeid Nosrati
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引用次数: 0
Predictors of work intention in the tourism career: the moderating impact of cultural aspects 旅游行业工作意向的预测因素:文化因素的调节作用
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-12-01 DOI: 10.1080/13683500.2023.2286270
Mohamed Abou-Shouk, Nagwa Zouair, Mahmoud Hewedi, Raghda Badr
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引用次数: 0
Does tourism development spur export product diversification? 旅游业发展是否会刺激出口产品多样化?
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-27 DOI: 10.1080/13683500.2023.2284784
Omid Ranjbar, B. Saboori, Hassan F. Gholipour
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引用次数: 0
Behaviours not set in stone: do residents still adopt pro-tourism behaviours when tourists behave in uncivilized ways? 行为并非一成不变:当游客做出不文明行为时,居民是否仍会采取支持旅游的行为?
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-27 DOI: 10.1080/13683500.2023.2283559
Jia Liu, Keke An, Soo Cheong (Shawn) Jang
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引用次数: 0
‘We are open again (and again)’: communicating during COVID-19 – opportunities, challenges, and lessons learned 我们再次(和再次)开放":COVID-19 期间的交流--机遇、挑战和经验教训
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-24 DOI: 10.1080/13683500.2023.2276790
L. Zizka, Mengru Chen
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引用次数: 0
The future of tourism and hospitality labour: challenges, requirements, trends, skills and the impact of technology 旅游业和酒店业劳动力的未来:挑战、要求、趋势、技能和技术的影响
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-23 DOI: 10.1080/13683500.2023.2286291
Faruk Seyitoğlu, Carlos Costa, Mariana Martins, Ana Maria Malta
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引用次数: 0
Doing well by doing right: heterogeneous effects of tourism firms’ social responsibility on service productivity and profitability 以正确的方式做好事:旅游企业的社会责任对服务生产率和盈利能力的异质性影响
IF 8 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-18 DOI: 10.1080/13683500.2023.2283558
Dongdong Wu, Hui Li, Ya-Fei Liu
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引用次数: 0
Mobilizing relational ontology: meeting the pluriversal challenge in tourism studies 调动关系本体:迎接旅游研究的多元挑战
3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-14 DOI: 10.1080/13683500.2023.2281599
Tomas Pernecky
Philosophical and theoretical research on tourism is ever more pertinent in an age of increased uncertainty, manifold vulnerabilities, and determination to promote justice, fairness, and equality. The pluriversal challenge facing tourism and tourism studies, that is, the necessity for polycentric, inclusive, and equitably participatory being, doing, and knowing, suggests that these transitional times require an ontology that can assist with understanding the entangled complexities of being and becoming vis-à-vis tourism. Relational ontology is thus presented as a crucial lens for comprehending the ethical, environmental, political, social, cultural, and spiritual potentialities that emerge uniquely through tourism as relationalities. This paper argues that relational ontology not only accommodates but also discloses pluriversality and the ontological multiple, and that it can facilitate not universal but relational understandings, which can coexist, enrich, and promote human flourishing through tourism.
在一个不确定性增加、脆弱性增加、人们决心促进正义、公平和平等的时代,旅游业的哲学和理论研究变得越来越有意义。旅游业和旅游研究面临的多元挑战,即多中心、包容和公平参与的存在、行为和认知的必要性,表明这些过渡时期需要一种本体论,可以帮助理解-à-vis旅游业存在和成为的纠缠复杂性。因此,关系本体论作为理解伦理、环境、政治、社会、文化和精神潜力的关键镜头,通过旅游业作为关系而独特地出现。本文认为关系本体论既容纳又揭示了多元性和本体论的多元性,促进了不是普遍的而是关系的认识,这种认识可以通过旅游共存、丰富和促进人类的繁荣。
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引用次数: 0
The role of festival volunteers in supporting rural community development: a psychological ownership perspective 节日志愿者在支持农村社区发展中的作用:一个心理所有权的视角
3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-12 DOI: 10.1080/13683500.2023.2280163
SoJung Lee, Jichul Jang, Linda Niehm, MiRan Kim
ABSTRACTGiven the limited research that recognizes volunteers as significant workforce assets and sources of human capital in rural communities, this study investigated how rural festival volunteers’ motivation, psychological ownership, and community involvement impact their support of community development. A sample of 373 volunteers from 12 rural festivals in Iowa, Michigan, and Kansas revealed significant relationships among variables that foster community support. In particular, three motivation factors – value, social, and enhancement – were found to significantly influence psychological ownership, which sequentially influenced community involvement and support. This study provides unique insight into volunteers’ roles in rural communities, highlighting psychological ownership as a significant mediating factor from a community capitals perspective. Results suggest that rural festival organizers should be advised to collaborate with community developers to attract and motivate volunteers. These entities may be most successful in rural community development by fostering a strong sense of psychological ownership, building community involvement, and developing support networks among rural festival volunteers.KEYWORDS: Volunteersrural festivalmotivationpsychological ownershipinvolvementcommunity support Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the North Central Regional Center for Rural Development Grant [grant number F9002796702016].
摘要鉴于对志愿者作为农村社区重要劳动力资产和人力资本来源的研究有限,本研究探讨了农村节日志愿者的动机、心理所有权和社区参与如何影响他们对社区发展的支持。来自爱荷华州、密歇根州和堪萨斯州12个乡村节日的373名志愿者的样本揭示了促进社区支持的变量之间的重要关系。特别是,三个动机因素-价值,社会和增强-被发现显著影响心理所有权,继而影响社区参与和支持。本研究对农村社区志愿者的角色提供了独特的视角,从社区资本的角度强调了心理所有权是一个重要的中介因素。结果表明,应建议农村节日组织者与社区开发商合作,以吸引和激励志愿者。这些实体通过培养强烈的心理归属感、建立社区参与和发展农村节日志愿者之间的支持网络,可能在农村社区发展中最成功。关键词:志愿者;乡村节日;动机;心理所有权;本研究由中北部地区农村发展中心资助[资助号:F9002796702016]。
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引用次数: 0
Evaluating machine learning techniques for predicting tourist occupancy: an experiment with pre- and post-pandemic COVID-19 data 评估预测游客入住率的机器学习技术:基于COVID-19大流行前后数据的实验
3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2023-11-12 DOI: 10.1080/13683500.2023.2282163
L. Moreno-Izquierdo, A. Más-Ferrando, J. F. Perles-Ribes, A. Rubia-Serrano, T. Torregrosa-Martí
ABSTRACTThis paper analyses the prediction capacity of machine learning techniques under severe demand shocks. Specifically, three methods – Naive Bayes, Random Forest and Support Vector Machine – are tested in predicting rental occupancy for tourist accommodation in the city of Madrid. We compare two different scenarios: firstly, the predictive capacity in the years prior to COVID-19 and, secondly, the ability to anticipate demand behaviour once the pandemic started. The results demonstrate first that without market disturbances, the Random Forest model exhibits the best predictive capability. Second, the COVID-19 pandemic caused such major changes that none of the three tested models are entirely reliable, although the Random Forest and Naive Bayes models outperform the SVM model. As a methodological novelty, this paper includes occupancy quantiles to resolve problems with available data and temporal biases.KEYWORDS: Tourist occupancyAirbnbpredictiontourist demandmachine learning Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study has been carried out in the framework of the research project ‘Digital Transition and Innovation in the Labour Market and Mature Sectors. Taking Advantage of AI and Platform Economy (DILATO)’, funded by the Spanish Ministry of Science and Innovation as a 2021 Green and Digital Transition Project, with reference [grant number TED2021-129600A-I00].
摘要本文分析了机器学习技术在严重需求冲击下的预测能力。具体来说,三种方法-朴素贝叶斯,随机森林和支持向量机-测试在预测马德里市的旅游住宿租赁入住率。我们比较了两种不同的情景:首先是COVID-19之前几年的预测能力,其次是大流行开始后预测需求行为的能力。结果首先表明,在没有市场干扰的情况下,随机森林模型表现出最好的预测能力。其次,COVID-19大流行造成了如此重大的变化,以至于三个被测试的模型都不完全可靠,尽管随机森林和朴素贝叶斯模型优于SVM模型。作为一种新颖的方法,本文采用占用分位数来解决现有数据和时间偏差的问题。关键词:游客占用率airbnb预测游客需求机器学习披露声明作者未报告潜在的利益冲突。本研究是在“劳动力市场和成熟行业的数字化转型与创新”研究项目的框架下进行的。“利用人工智能和平台经济(DILATO)”,由西班牙科学与创新部资助,作为2021年绿色和数字化转型项目,参考文献[批准号TED2021-129600A-I00]。
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引用次数: 0
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Current Issues in Tourism
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