Tourism Management最新文献_第6页

Balancing consistency and incongruence: Influences on consumer booking intentions in the sharing economy 平衡一致性与不一致性：共享经济中消费者预订意向的影响

IF 10.9 1区管理学

Tourism Management Pub Date : 2025-01-13 DOI: 10.1016/j.tourman.2025.105134

Leyi Zhang , Yongpeng Ma , Rosli Mahmood , Xi Pan

引用次数: 0

Guiding hands and peer bonds: Impact of supervisory mentoring and peer coaching on hotel newcomers’ job crafting 指导之手和同伴关系：监督指导和同伴指导对酒店新人工作塑造的影响

IF 10.9 1区管理学

Tourism Management Pub Date : 2025-01-06 DOI: 10.1016/j.tourman.2024.105130

Shiyao Jiang , Junqi Jia , Runfeng Gao , Jianfeng Ma

{"title":"Guiding hands and peer bonds: Impact of supervisory mentoring and peer coaching on hotel newcomers’ job crafting","authors":"Shiyao Jiang , Junqi Jia , Runfeng Gao , Jianfeng Ma","doi":"10.1016/j.tourman.2024.105130","DOIUrl":"10.1016/j.tourman.2024.105130","url":null,"abstract":"<div><div>The value of job crafting in hospitality research is growing, yet few studies explore it from varied career-learning perspectives among hotel newcomers. Drawing upon the conservation of resources theory, the current study integrated two differentiated career-learning approaches (i.e., supervisory mentoring and peer coaching) and investigated their impact on hotel newcomers' job crafting. We used a mixed-methods design that included two scenario-based experimental studies and a two-wave survey study to evaluate the proposed theoretical model. Results indicated that supervisory mentoring and peer coaching positively affected hotel newcomers' job crafting. Furthermore, hotel newcomers’ perceived insider status and elevation mediated the effects of supervisory mentoring and peer coaching on their job crafting. Additionally, the promotion focus of the hotel newcomers amplified the positive effects of elevation and PIS on job crafting, whereas the prevention focus mitigated these positive effects. We discussed the implications of hotels tailoring differentiated onboarding programs to facilitate newcomers in proactively crafting their jobs.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"108 ","pages":"Article 105130"},"PeriodicalIF":10.9,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging large language models for tourism research based on 5D framework: A collaborative analysis of tourist sentiments and spatial features 基于 5D 框架的旅游研究大型语言模型：游客情绪和空间特征的合作分析

IF 10.9 1区管理学

Tourism Management Pub Date : 2025-01-01 DOI: 10.1016/j.tourman.2024.105115

Jin Rui , Yuhan Xu , Chenfan Cai , Xiang Li

{"title":"Leveraging large language models for tourism research based on 5D framework: A collaborative analysis of tourist sentiments and spatial features","authors":"Jin Rui , Yuhan Xu , Chenfan Cai , Xiang Li","doi":"10.1016/j.tourman.2024.105115","DOIUrl":"10.1016/j.tourman.2024.105115","url":null,"abstract":"<div><div>Experience-oriented travel models have posed new demands for optimizing urban environments to promote tourism development. This study introduced a natural language classification and scoring method to explore the relationship between tourism experiences and spatial characteristics. We found that online textual data can infer and represent physical spatial features. Our findings include: (1) Tourists perceive density from moving objects, with threshold effects caused by their temporal instability. (2) Ecological and cultural-technological tourism models have varied dependencies on transportation facilities. (3) Central areas dominated by artificial functions and landscapes require more natural planning approaches to enhance the tourist experience. (4) Accessibility perceptions are influenced by driving time and proximity to the city center, rather than walking duration or the actual distance. (5) The development of a dual-network policy for buses and subways is crucial to enhance the travel experience. Our study provides evidence-based recommendations for urban renewal to improve tourism experiences.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"108 ","pages":"Article 105115"},"PeriodicalIF":10.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Food tourists social interactions: A social capital and social learning perspective 美食游客社会互动：社会资本与社会学习视角

IF 10.9 1区管理学

Tourism Management Pub Date : 2024-12-31 DOI: 10.1016/j.tourman.2024.105128

Sandhiya Goolaup , Robin Nunkoo , Meehee Cho

引用次数: 0

What is a cool restaurant? Understanding, measuring, and leveraging coolness for restaurants 什么是很酷的餐厅？理解、衡量和利用餐厅的凉爽度

IF 10.9 1区管理学

Tourism Management Pub Date : 2024-12-31 DOI: 10.1016/j.tourman.2024.105116

Francisco Barbosa Escobar , Florian Kock , A. George Assaf

{"title":"What is a cool restaurant? Understanding, measuring, and leveraging coolness for restaurants","authors":"Francisco Barbosa Escobar , Florian Kock , A. George Assaf","doi":"10.1016/j.tourman.2024.105116","DOIUrl":"10.1016/j.tourman.2024.105116","url":null,"abstract":"<div><div>Restaurants operate in competitive markets, forcing them to differentiate themselves. The use of coolness represents a novel tactic to do so. Although the literature has started to investigate coolness in people, brands, and cities, the complex nature of restaurants and their inherent human factor calls for further research on what makes restaurants cool. We conceptualize restaurant coolness and identify its constituent features empirically. We find that cool restaurants are original, authentic, welcoming, purposeful, and communal. We develop a parsimonious and reliable measure of restaurant coolness and show that restaurant coolness significantly influences relevant downstream variables related to consumers' attitudes and intentions (i.e., self-restaurant connection, trust, and emotional attachment). Furthermore, we experimentally demonstrate that restaurant coolness can enhance restaurants’ service failure recovery, including attribution, failure management perception, recovery satisfaction, and forgiveness. Our findings reveal differentiating features of restaurant coolness compared to other contexts and that coolness has crucial implications for restaurants.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"108 ","pages":"Article 105116"},"PeriodicalIF":10.9,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Echoes of tragedy: How negative social media shapes tourist emotions and avoidance intensions? A multi-methods approach

IF 10.9 1区管理学

Tourism Management Pub Date : 2024-12-31 DOI: 10.1016/j.tourman.2024.105122

Long Hai Duong , Yuan-Qi Kong , Hossein Olya , Choong-Ki Lee , V.G. Girish

{"title":"Echoes of tragedy: How negative social media shapes tourist emotions and avoidance intensions? A multi-methods approach","authors":"Long Hai Duong , Yuan-Qi Kong , Hossein Olya , Choong-Ki Lee , V.G. Girish","doi":"10.1016/j.tourman.2024.105122","DOIUrl":"10.1016/j.tourman.2024.105122","url":null,"abstract":"<div><div>Research on tragic events in tourist destinations and their impacts on tourists' decisions is insufficient, particularly regarding the emotions underlying tourists' behavioural intentions. Drawing on affective event theory, this research employs a multi-methods approach, including FaceReader AI software, in-depth interviews and a quantitative study, to understand how negative electronic word-of-mouth (eWOM) triggers tourists' negative emotions and influenced their avoidance intentions following the Itaewon crowd crush in South Korea. Preliminary findings confirm the existence of negative emotions and identify their types (i.e. agonistic emotions and retreat emotions). Empirical evidence shows that negative eWOM significantly affects tourists' negative emotions, thus eliciting avoidance intentions towards Itaewon and crowded destinations. Furthermore, cross-country analysis indicates that tourists from China and Vietnam differ in the degree of negative emotions elicited by eWOM and the emotional strategies they employ. This research provides deep insights into the psychological mechanism underlying tourists’ negative emotions and avoidance intentions following a tragic event in a tourist destination.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"108 ","pages":"Article 105122"},"PeriodicalIF":10.9,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How well can ChatGPT forecast tourism demand? ChatGPT预测旅游需求的准确度如何？

IF 10.9 1区管理学

Tourism Management Pub Date : 2024-12-29 DOI: 10.1016/j.tourman.2024.105119

Doris Chenguang Wu , Wenjia Li , Ji Wu , Mingming Hu , Shujie Shen

{"title":"How well can ChatGPT forecast tourism demand?","authors":"Doris Chenguang Wu , Wenjia Li , Ji Wu , Mingming Hu , Shujie Shen","doi":"10.1016/j.tourman.2024.105119","DOIUrl":"10.1016/j.tourman.2024.105119","url":null,"abstract":"<div><div>ChatGPT has demonstrated remarkable capabilities across various natural language processing (NLP) tasks. However, its potential for forecasting tourism demand from temporal data, specifically historical tourism arrivals data, remains an unexplored frontier. This research presents the first attempt to conduct an extensive Zero-shot and Chain-of-Thought analysis of ChatGPT's capabilities in tourism demand forecasting, under various temporal scenarios. Based on the Macau inbound tourism arrivals dataset, our empirical findings indicate that the predictive capability of ChatGPT-4 is noteworthy compared to the three benchmark time series models (Naïve, Exponential Smoothing, SARIMA) and the three benchmark machine learning models (Random Forest, Multi-Layer Perceptron, Long Short-Term Memory), especially when the forecast horizon is relatively short. Furthermore, compared to Zero-shot prompts, engaging in continuous dialogue can enhance the forecast accuracy of ChatGPT-4. This performance of ChatGPT highlights its potential for quantitative data prediction as a new user-friendly and cost-effective management tool.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"108 ","pages":"Article 105119"},"PeriodicalIF":10.9,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

“Big picture” predicts destination attractiveness: The role of physical breadth and contextual breadth “大图景”预测目的地吸引力：物理广度和背景广度的作用

IF 10.9 1区管理学

Tourism Management Pub Date : 2024-12-28 DOI: 10.1016/j.tourman.2024.105114

Jingyi Duan , Xuefeng Liang , Jiangqun Liao , Ryoichi Nakashima , Hongyi Shi , Chenhao Hu , Takatsune Kumada , Kaiping Peng , Song Tong

引用次数: 0

Weather: An organizational stakeholder for United States national seashores 天气：美国国家海岸的组织利益相关者

IF 10.9 1区管理学

Tourism Management Pub Date : 2024-12-28 DOI: 10.1016/j.tourman.2024.105123

Christopher A. Craig

引用次数: 0

Glocalization: Cross-cultural communication of tourism research 全球本土化：旅游跨文化交际研究