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  • Search: subject:"酒店行业"
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Subject
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酒店行业 3 COVID-19 2 Acceptance 1 Customer experience 1 Dynamic topic modelling 1 Hospitality 1 Hospitality industry 1 Hotel industry 1 Hotel sector 1 LDA 1 Lockdown scenarios 1 Net promoter score 1 Non-stationary data 1 Online reviews 1 Rapport 1 Recommendation systems 1 Restaurants 1 Restrictions 1 Service robots 1 The sRAM 1 Tourist type 1 TripAdvisor 1 Trust 1 sRAM 1 信任 1 净推荐值 1 动态主题建模 1 在线评论 1 客户体验 1 封锁情景 1 接受 1 推荐系统 1 旅游类型 1 服务机器人 1 融洽 1 酒店行业。 1 限制 1 非稳态数据 1 餐厅 1
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Undetermined 4
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Article 4
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research-article 4
Language
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English 4
Author
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Ahmed, Zafar U. 1 Bochenina, Klavdiya 1 Derevitskii, Ivan 1 Glukhov, Gleb 1 Gu, Huimin 1 Ho, Thanh 1 Kajla, Tanveer 1 Khoa, Tran Tien 1 Li, Xiaofei 1 Ling, Xiaodie 1 Nguyen, Van-Ho 1 Ongsakul, Viput 1 Raj, Sahil 1 Severiukhina, Oksana 1 Song, Xiaoxiao 1 Ye, Weijiao 1 Zhu, Zhisheng 1
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Journal of Hospitality and Tourism Technology 4
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Other ZBW resources 4
Showing 1 - 4 of 4
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Understanding trust and rapport in hotel service encounters: extending the service robot acceptance model
Song, Xiaoxiao; Gu, Huimin; Ling, Xiaodie; Ye, Weijiao; … - In: Journal of Hospitality and Tourism Technology 15 (2024) 5, pp. 842-861
Purpose Drawing on the Service Robot Acceptance Model (sRAM) proposed by Wirtz et al. (2018), this study aims to examine how functional and social-emotional antecedents affect relational elements and the critical functions that trust and rapport play in robot acceptance in hotel services....
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015350991
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Analysing online customer experience in hotel sector using dynamic topic modelling and net promoter score
Nguyen, Van-Ho; Ho, Thanh - In: Journal of Hospitality and Tourism Technology 14 (2023) 2, pp. 258-277
Purpose This study aims to analyse online customer experience in the hospitality industry through dynamic topic modelling (DTM) and net promoter score (NPS). A novel model that was used for collecting, pre-processing and analysing online reviews was proposed to understand the hidden information...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014874122
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Dynamic recommendation algorithms for a COVID-19 restrictions scenario in the restaurant industry
Glukhov, Gleb; Derevitskii, Ivan; Severiukhina, Oksana; … - In: Journal of Hospitality and Tourism Technology 15 (2023) 1, pp. 1-17
Purpose Using the data set about the restaurants from different countries and their customer's feedback, the purpose of this paper is to address the following issues: in the restaurant industry, how have user behavior and preferences changed during the COVID-19 restrictions period, how did these...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014874297
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Changing tourists’ preferences in the hotel industry amid COVID-19 pandemic
Ongsakul, Viput; Kajla, Tanveer; Raj, Sahil; Khoa, Tran Tien - In: Journal of Hospitality and Tourism Technology 13 (2022) 2, pp. 295-313
Purpose The paper aims to find the preferences of different tourist type. Since, COVID-19 pandemic has brought the international hospitality industry to a standstill, there are some early signs of recovery. For this industry’s long-term recovery, the tourists’ changing preferences need to be...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014874205
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