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  • Search: subject:"在线评论"
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Year of publication
Subject
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在线评论 10 Online reviews 9 Online review 3 Big data 2 Restaurants 2 TripAdvisor 2 大数据 2 网络口碑 2 酒店 2 餐厅 2 Aspects 1 Badges 1 Business analytics 1 Company size 1 Consumer behaviour 1 Consumer decision-making 1 Consumer experience 1 Cruise 1 Cultural distance 1 Cultural heritage 1 Cultural identity 1 Culture 1 Customer attitude 1 Customer experience 1 Data mining 1 Deep learning 1 Dynamic topic modelling 1 Educational tourism 1 Electronic word of mouth 1 Electronic word-of-mouth 1 Emotion 1 Enrollment 1 Experiment 1 Familiarity 1 Gamification 1 Guest satisfaction 1 Helpfulness 1 Hospitality 1 Hospitality industry 1 Hotel 1
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Undetermined 13
Type of publication
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Article 13
Type of publication (narrower categories)
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research-article 12 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 13
Author
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Moro, Sérgio 2 Abubakar, A. Mohammed 1 Aureliano-Silva, Leonardo 1 Buzova, Daniela 1 Cai, Yanjun (Maggie) 1 Casaló, Luis V. 1 Cervera-Taulet, Amparo 1 DeFranco, Agnes 1 Esmerado, Joaquim 1 Ho, Thanh 1 Ilkan, Mustafa 1 Jang, Dongsoo 1 Kim, Dongeon 1 Kim, Jaekyeong 1 Law, Rob 1 Le, Hoang Tran Phuoc Mai 1 Lee, Jongseo 1 Lee, Minwoo 1 Leung, Xi 1 Li, Nao 1 Li, Qinglong 1 Nguyen, Van-Ho 1 Oday, Akile 1 Ozturen, Ali 1 Romero, Jaime 1 Ruiz-Equihua, Daniel 1 Ryu, Sann 1 Sanz Blas, Silvia 1 Spers, Eduardo Eugênio 1 Stellacci, Stefania 1 Turulja, Lejla 1 Wang, Wei-Tsong 1 Wong, IpKin Anthony 1 Xu, Jing Yang 1 Yang, Xiaoyu 1 Zhang, Binru 1 Zhuo, Xiaoqian 1 Činjarević, Merima 1
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Published in...
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Journal of Hospitality and Tourism Technology 12 The service industries journal 1
Source
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Other ZBW resources 12 ECONIS (ZBW) 1
Showing 1 - 10 of 13
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Restaurant recommendation model using textual information to estimate consumer preference: evidence from an online restaurant platform
Li, Qinglong; Jang, Dongsoo; Kim, Dongeon; Kim, Jaekyeong - In: Journal of Hospitality and Tourism Technology 14 (2023) 5, pp. 857-877
Purpose Textual information about restaurants, such as online reviews and food categories, is essential for consumer purchase decisions. However, previous restaurant recommendation studies have failed to use textual information containing essential information for predicting consumer preferences...
Persistent link: https://www.econbiz.de/10014874033
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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://www.econbiz.de/10014874122
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Company size, online reviews and customer responses: implications for SMEs in the hospitality field
Ruiz-Equihua, Daniel; Casaló, Luis V.; Romero, Jaime - In: Journal of Hospitality and Tourism Technology 14 (2023) 3, pp. 490-502
Purpose Previous research into online reviews in the hospitality industry has focused mainly on big companies; thus, it is not yet known whether its findings apply also to small and medium enterprises (SMEs), the most abundant in the sector. Focusing on online reviews in the hospitality sector,...
Persistent link: https://www.econbiz.de/10014874131
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The role of badges to spur frequent travelers to write online reviews
Moro, Sérgio; Stellacci, Stefania - In: Journal of Hospitality and Tourism Technology 14 (2023) 2, pp. 69-82
Purpose Online travel reviews platforms have become innovative information systems due to the incorporation of sophisticated gamification elements such as visually appealing badges. This study aims to analyze three features of the review after leveling up a badge: review length (number of...
Persistent link: https://www.econbiz.de/10014874154
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The eWOM adoption model in the hospitality industry: the moderating effect of the vlogger’s review
Le, Hoang Tran Phuoc Mai; Ryu, Sann - In: Journal of Hospitality and Tourism Technology 14 (2023) 2, pp. 225-244
Purpose Vloggers (video bloggers) have emerged as a new phenomenon in social media marketing, especially in the hotel industry, where user-generated reviews can strongly influence purchase decisions. Therefore, this paper aims to build an electronic word-of-mouth (eWOM) adoption model (EAM) that...
Persistent link: https://www.econbiz.de/10014874249
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“Value for money?” Exploring the consumer experience on shared accommodation platforms: evidence from online reviews in China
Zhuo, Xiaoqian; Wang, Wei-Tsong - In: Journal of Hospitality and Tourism Technology 13 (2022) 3, pp. 542-558
Purpose With the development of the sharing economy, the collaborative consumption model has become more popular and has changed the way people engage in tourism. This study aims to explore. consumer experience in different types of rooms on a shared accommodation platform....
Persistent link: https://www.econbiz.de/10014874099
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Automating tourism online reviews: a neural network based aspect-oriented sentiment classification
Li, Nao; Yang, Xiaoyu; Wong, IpKin Anthony; Law, Rob; … - In: Journal of Hospitality and Tourism Technology 14 (2022) 1, pp. 1-20
Purpose This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a neural network model. Design/methodology/approach This study constructs an aspect-oriented sentiment...
Persistent link: https://www.econbiz.de/10014874104
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Do eReferral, eWOM, familiarity and cultural distance predict enrollment intention? An application of an artificial intelligence technique
Oday, Akile; Ozturen, Ali; Ilkan, Mustafa; Abubakar, A. … - In: Journal of Hospitality and Tourism Technology 12 (2021) 3, pp. 471-488
Purpose Little empirical attention has been paid to the effects of electronic word-of-mouth (eWOM), electronic referral (eReferral), familiarity and cultural distance on behavioral outcomes, especially within the context of educational tourism. Based on the social network theory, this paper aims...
Persistent link: https://www.econbiz.de/10014874018
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How customer-driven and vendor-driven information cues shape a travel app user behaviour?
Turulja, Lejla; Činjarević, Merima - In: Journal of Hospitality and Tourism Technology 12 (2021) 4, pp. 745-761
Purpose This study aims to apply the stimulus-organism-response framework to uncover the underlying mechanism by which the perceived helpfulness of online customer reviews (OCRs) drives behavioural intentions in mobile travel app commerce. Also, the current study explores how vendor-driven...
Persistent link: https://www.econbiz.de/10014874069
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The effect of online reviews on restaurant visit intentions: applying signaling and involvement theories
Aureliano-Silva, Leonardo; Leung, Xi; Spers, Eduardo … - In: Journal of Hospitality and Tourism Technology 12 (2021) 4, pp. 672-688
Purpose The purpose of this study is to investigate the effect of online reviews on consumers’ intention to visit restaurants, with the moderating role of involvement. Design/methodology/approach The research framework was built on signaling theory, message appeals and involvement theory. To...
Persistent link: https://www.econbiz.de/10014874170
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