{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T04:37:08Z","timestamp":1782016628939,"version":"3.54.5"},"reference-count":89,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T00:00:00Z","timestamp":1721260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Major Program of the Social Science Foundation of Sichuan Province of China","award":["SC22ZD008"],"award-info":[{"award-number":["SC22ZD008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>This study aims to dynamically mine the demands of hotel consumers. A total of 378,270 online reviews in the cities of Beijing, Chengdu, and Guangzhou in China were crawled using Python. Natural language processing (e.g., opinion mining and the BERT model) and an improved Kano model (containing One-dimensional, Attractive, Indifferent, and Must-be) were utilised to analyse online hotel reviews. The results indicate that the hotel attributes that consumers care about (e.g., Clean, Breakfast, and Front Desk) are dynamically fluctuating, and the attention and satisfaction of corresponding attributes will also change. This study classified consumer demand into eight types across cities and found that it changes over time. In addition, we also found that hotel attributes, satisfaction and attention, and consumer demands vary among different cities. Existing studies of capturing consumer demand are usually time-consuming and static, and the results are subjective. This study compared and analysed the consumer demands of hotels in different cities via a dynamic perspective, and used hybrid methods to improve the granularity of the analysis, expanding the general applicability of the Kano model. Hotel managers can refer to the results of this article to allocate resources for improvement and create competitive hotel services.<\/jats:p>","DOI":"10.3390\/jtaer19030090","type":"journal-article","created":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T16:55:36Z","timestamp":1721321736000},"page":"1831-1847","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic Mining of Consumer Demand via Online Hotel Reviews: A Hybrid Method"],"prefix":"10.3390","volume":"19","author":[{"given":"Weiping","family":"Yu","sequence":"first","affiliation":[{"name":"Business School, Sichuan University, Chengdu 610064, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fasheng","family":"Cui","sequence":"additional","affiliation":[{"name":"Business School, Sichuan University, Chengdu 610064, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Management, Xiamen University, Xiamen 361005, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Liao","sequence":"additional","affiliation":[{"name":"Business School, Sichuan University, Chengdu 610064, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104382","DOI":"10.1016\/j.tourman.2021.104382","article-title":"An online reviews-driven method for the prioritization of improvements in hotel services","volume":"87","author":"Zhang","year":"2021","journal-title":"Tour. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1974","DOI":"10.1080\/13683500.2022.2073204","article-title":"The evolution of consumers\u2019 demand for hotels under the public health crisis: Opinion mining from online reviews","volume":"26","author":"Yu","year":"2023","journal-title":"Curr. Issues Tour."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.tourman.2019.04.010","article-title":"Evolving customer expectations of hospitality services: Differences in attribute effects on satisfaction and Re-Patronage","volume":"74","author":"Hu","year":"2019","journal-title":"Tour. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1177\/0047287516636481","article-title":"Understanding the Impact of Online Reviews on Hotel Performance: An Empirical Analysis","volume":"56","author":"Phillips","year":"2017","journal-title":"J. Travel Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"113162","DOI":"10.1016\/j.dss.2019.113162","article-title":"How do consumers in the sharing economy value sharing? Evidence from online reviews","volume":"128","author":"Xu","year":"2020","journal-title":"Decis. Support Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1080\/13683500.2021.1915253","article-title":"Hotel guests\u2019 demanding level and importance of attribute satisfaction ratings: An application of MUltiplecriteria Satisfaction Analysis on TripAdvisor\u2019s hotel guests ratings","volume":"25","author":"Manolitzas","year":"2021","journal-title":"Curr. Issues Tour."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"108648","DOI":"10.1016\/j.cie.2022.108648","article-title":"Customer preference identification from hotel online reviews: A neural network based fine-grained sentiment analysis","volume":"172","author":"Bian","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.tourman.2013.09.003","article-title":"A novel framework for customer-driven service strategies: A case study of a restaurant chain","volume":"41","author":"Chen","year":"2014","journal-title":"Tour. Manag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"103430","DOI":"10.1016\/j.ijhm.2023.103430","article-title":"Service redundancy: Scale development and validation","volume":"110","author":"Yen","year":"2023","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1080\/10548408.2019.1575786","article-title":"Classifying technological innovation attributes for hotels: An application of the Kano model","volume":"36","author":"Chiang","year":"2019","journal-title":"J. Travel Tour. Mark."},{"key":"ref_11","first-page":"39","article-title":"Attractive Quality and Must-Be Quality","volume":"14","author":"Kano","year":"1984","journal-title":"J. Jpn. Soc. Qual. Control"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.ijinfomgt.2018.11.004","article-title":"Aspect-based Kano categorization","volume":"46","author":"Bigorra","year":"2019","journal-title":"Int. J. Inf. Manag."},{"key":"ref_13","unstructured":"Herzberg, F., Mausner, B., and Synderman, B.B. (1959). The Motivation to Work, John Wiley."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1108\/IJCHM-05-2020-0442","article-title":"Exploring the roles of hotel wellness attributes in customer satisfaction and dissatisfaction: Application of Kano model through mixed methods","volume":"33","author":"Park","year":"2021","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.tourman.2019.02.010","article-title":"The relationship between sustainability and customer satisfaction in hospitality: An explorative investigation using eWOM as a data source","volume":"74","author":"Schewe","year":"2019","journal-title":"Tour. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"104241","DOI":"10.1016\/j.tourman.2020.104241","article-title":"Automated topic modeling of tourist reviews: Does the Anna Karenina principle apply?","volume":"83","author":"Kirilenko","year":"2021","journal-title":"Tour. Manag."},{"key":"ref_17","first-page":"785","article-title":"Negative Word of Mouse in the Hotel Industry: A Content Analysis of Online Reviews on Luxury Hotels in Jordan","volume":"26","author":"Alrawadieh","year":"2017","journal-title":"J. Hosp. Mark. Manag."},{"key":"ref_18","first-page":"67","article-title":"Asymmetry of Hotel Ratings on TripAdvisor: Evidence from Single- versus Dual-Valence Reviews","volume":"26","author":"Fong","year":"2017","journal-title":"J. Hosp. Mark. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4479","DOI":"10.1016\/j.eswa.2008.05.034","article-title":"A new fuzzy concept approach for Kano\u2019s model","volume":"36","author":"Lee","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"6708","DOI":"10.1080\/00207543.2021.1949641","article-title":"Mining online reviews with a Kansei-integrated Kano model for innovative product design","volume":"60","author":"Jin","year":"2022","journal-title":"Int. J. Prod. Res."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Chen, Z., Yin, A., and Wang, Y. (2024). Demand analysis of general practice patients for teaching clinic based on Kano model. Front. Public Health, 12.","DOI":"10.3389\/fpubh.2024.1336683"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2594","DOI":"10.3390\/jtaer16070143","article-title":"Leveraging the Power of Online Referral for E-Business: The Moderated Mediation Model","volume":"16","author":"Chen","year":"2021","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Yang, Y., Huang, J., Wu, G., Ma, Y., and Guo, Q. (2024). Applying kansei engineering and text mining to design fresh food logistics services. Int. J. Logist. Res. Appl., 1\u201325.","DOI":"10.1080\/13675567.2024.2316640"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"104320","DOI":"10.1016\/j.tourman.2021.104320","article-title":"Dealing with pandemics: An investigation of the effects of COVID-19 on customers\u2019 evaluations of hospitality services","volume":"85","author":"Hu","year":"2021","journal-title":"Tour. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3751","DOI":"10.1080\/13683500.2022.2162374","article-title":"The influence of the COVID-19 pandemic on guests\u2019 evaluations of hotel services","volume":"26","author":"Raedts","year":"2023","journal-title":"Curr. Issues Tour."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"101533","DOI":"10.1016\/j.aei.2022.101533","article-title":"Revealing the dual importance and Kano type of attributes through customer review analytics","volume":"51","author":"Lee","year":"2022","journal-title":"Adv. Eng. Inform."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2056","DOI":"10.1108\/IJCHM-12-2021-1516","article-title":"Assessing brand performance consistency from consumer-generated media: The US hotel industry","volume":"35","author":"Jeong","year":"2022","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.ijforecast.2021.07.010","article-title":"Forecasting sales using online review and search engine data: A method based on PCA\u2013DSFOA\u2013BPNN","volume":"38","author":"Zhang","year":"2022","journal-title":"Int. J. Forecast."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.tourman.2007.05.011","article-title":"Electronic word-of-mouth in hospitality and tourism management","volume":"29","author":"Litvin","year":"2008","journal-title":"Tour. Manag."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"100874","DOI":"10.1016\/j.elerap.2019.100874","article-title":"Learning to rank products based on online product reviews using a hierarchical deep neural network","volume":"36","author":"Lee","year":"2019","journal-title":"Electron. Commer. Res. Appl."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"550","DOI":"10.3846\/tede.2021.14223","article-title":"Modelling consumer satisfaction based on online reviews using the improved Kano model from the perspective of risk attitude and aspiration","volume":"27","author":"Zhao","year":"2021","journal-title":"Technol. Econ. Dev. Econ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1108\/JOSM-10-2021-0407","article-title":"Affordances advancing user-created communication (UCC) in service: Interactivity, visibility and anonymity","volume":"33","author":"Ciuchita","year":"2022","journal-title":"J. Serv. Manag."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1177\/14707853211059076","article-title":"Market Segmentation of Online Reviews: A Network Analysis Approach","volume":"54","author":"Wang","year":"2022","journal-title":"Int. J. Mark. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2238","DOI":"10.3390\/jtaer18040113","article-title":"Altruism in eWOM: Propensity to Write Reviews on Hotel Experience","volume":"18","author":"Hernandez","year":"2023","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1108\/OIR-04-2015-0101","article-title":"Sentimental interplay between structured and unstructured user-generated contents: An empirical study on online hotel reviews","volume":"40","author":"Zhang","year":"2016","journal-title":"Online Inf. Rev."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2320","DOI":"10.1108\/IJCHM-10-2021-1293","article-title":"Big data analytics and hotel guest experience: A critical analysis of the literature","volume":"34","author":"Zarezadeh","year":"2022","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1177\/1470785318819979","article-title":"Predicting the helpfulness of online customer reviews: The role of title features","volume":"62","author":"Akbarabadi","year":"2020","journal-title":"Int. J. Mark. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.jhtm.2022.11.003","article-title":"Explaining customer satisfaction via hotel reviews: A comparison between pre- and post-COVID-19 reviews","volume":"53","author":"Xu","year":"2022","journal-title":"J. Hosp. Tour. Manag."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1080\/10548408.2022.2162657","article-title":"Customer views on comprehensive green hotel selection attributes and analysis of importance-performance","volume":"39","author":"Quan","year":"2022","journal-title":"J. Travel Tour. Mark."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1080\/13683500.2022.2048805","article-title":"Developing effective strategic decision-making in the areas of hotel quality management and customer satisfaction from online ratings","volume":"26","author":"Glaveli","year":"2022","journal-title":"Curr. Issues Tour."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"104703","DOI":"10.1016\/j.tourman.2022.104703","article-title":"Infusing new insights: How do review novelty and inconsistency shape the usefulness of online travel reviews?","volume":"96","author":"Zhang","year":"2023","journal-title":"Tour. Manag."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1108\/IJCHM-05-2015-0238","article-title":"The influence of e-word-of-mouth on hotel occupancy rate","volume":"28","author":"Viglia","year":"2016","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1108\/IJCHM-05-2022-0594","article-title":"Daily online review sentiment and hotel performance","volume":"36","author":"Nicolau","year":"2024","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1108\/IJCHM-06-2020-0623","article-title":"Managing hotel revenue amid the COVID-19 crisis","volume":"33","author":"Guillet","year":"2021","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"109860","DOI":"10.1016\/j.cie.2023.109860","article-title":"Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method","volume":"188","author":"Liu","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"118922","DOI":"10.1016\/j.eswa.2022.118922","article-title":"Clustering using ordered weighted averaging operator and 2-tuple linguistic model for hotel segmentation: The case of TripAdvisor","volume":"213","author":"Shu","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"ref_47","first-page":"100867","article-title":"Hotel attributes and overall customer satisfaction: What did COVID-19 change?","volume":"40","author":"Srivastava","year":"2021","journal-title":"Tour. Manag. Perspect."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"4052","DOI":"10.1080\/13683500.2022.2157707","article-title":"How does the COVID-19 pandemic influence tourist rating behaviour? An empirical exploration based on expectation theory","volume":"26","author":"Xu","year":"2023","journal-title":"Curr. Issues Tour."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1177\/1096348020912452","article-title":"A Framework for Classifying Causal Factors of Tourism Demand Seasonality: An Interseason and Intraseason Approach","volume":"44","author":"Ridderstaat","year":"2020","journal-title":"J. Hosp. Tour. Res."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"24487","DOI":"10.1007\/s11042-020-09112-0","article-title":"Lean improvement of the stage shows in theme park based on consumer preferences correlation deep mining","volume":"79","author":"Li","year":"2020","journal-title":"Multimed. Tools Appl."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.inffus.2020.02.007","article-title":"Processes and methods of information fusion for ranking products based on online reviews: An overview","volume":"60","author":"Fan","year":"2020","journal-title":"Inf. Fusion"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1177\/1470785318771451","article-title":"Clustering halal food consumers: A Twitter sentiment analysis","volume":"61","author":"Mostafa","year":"2019","journal-title":"Int. J. Mark. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1504\/IJTM.2023.128799","article-title":"Design and implementation of a text mining-based tool to support scoping reviews","volume":"91","author":"Chiarello","year":"2023","journal-title":"Int. J. Technol. Manage."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"107134","DOI":"10.1016\/j.knosys.2021.107134","article-title":"A comprehensive survey on sentiment analysis: Approaches, challenges and trends","volume":"226","author":"Birjali","year":"2021","journal-title":"Knowl. Based Syst."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.tourman.2016.09.009","article-title":"Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation","volume":"59","author":"Guo","year":"2017","journal-title":"Tour. Manag."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.tourman.2019.01.002","article-title":"What do hotel customers complain about? Text analysis using structural topic model","volume":"72","author":"Hu","year":"2019","journal-title":"Tour. Manag."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"103961","DOI":"10.1016\/j.tourman.2019.103961","article-title":"The differences in hotel selection among various types of travellers: A comparative analysis with a useful bounded rationality behavioural decision support model","volume":"76","author":"Wang","year":"2020","journal-title":"Tour. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.engappai.2015.06.007","article-title":"Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features","volume":"47","author":"Zhang","year":"2016","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"104006","DOI":"10.1016\/j.tourman.2019.104006","article-title":"Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry","volume":"77","author":"Bi","year":"2020","journal-title":"Tour. Manag."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"107259","DOI":"10.1016\/j.knosys.2021.107259","article-title":"Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews","volume":"228","author":"Zhang","year":"2021","journal-title":"Knowl. Based Syst."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1080\/09544828.2019.1642460","article-title":"Supporting the construction of affective product taxonomies from online customer reviews: An affective-semantic approach","volume":"30","author":"Wang","year":"2019","journal-title":"J. Eng. Design"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.eswa.2017.02.002","article-title":"Enhancing deep learning sentiment analysis with ensemble techniques in social applications","volume":"77","author":"Araque","year":"2017","journal-title":"Expert Syst. Appl."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.ins.2019.02.064","article-title":"Aspect based fine-grained sentiment analysis for online reviews","volume":"488","author":"Tang","year":"2019","journal-title":"Inf. Sci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1108\/JOSM-08-2019-0254","article-title":"From words to pixels: Text and image mining methods for service research","volume":"30","author":"Ordenes","year":"2019","journal-title":"J. Serv. Manag."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.ijhm.2018.03.017","article-title":"Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews","volume":"76","author":"Zhao","year":"2019","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1108\/IJCHM-03-2021-0356","article-title":"The impact of COVID-19 on hotel customer satisfaction: Evidence from Beijing and Shanghai in China","volume":"34","author":"Sun","year":"2022","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2269","DOI":"10.1007\/s12652-021-02985-5","article-title":"Big consumer opinion data understanding for Kano categorization in new product development","volume":"13","author":"Chen","year":"2022","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4018\/JOEUC.292523","article-title":"Deconstructing Online Hospitality Review Systems: User Quality Experience Toward Design Features","volume":"34","author":"Xiao","year":"2022","journal-title":"J. Organ. End User Comput."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0166-4972(97)00072-2","article-title":"How to make product development projects more successful by integrating Kano\u2019s model of customer satisfaction into quality function deployment","volume":"18","author":"Matzler","year":"1998","journal-title":"Technovation"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"272","DOI":"10.3390\/jtaer19010015","article-title":"A Two-Stage Nonlinear User Satisfaction Decision Model Based on Online Review Mining: Considering Non-Compensatory and Compensatory Stages","volume":"19","author":"Li","year":"2024","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1108\/09564230910978520","article-title":"Application of fault tree analysis to the service process: Service tree analysis approach","volume":"20","author":"Geum","year":"2009","journal-title":"J. Serv. Manag."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1504\/IJTM.2019.099611","article-title":"Walking the innovation tightrope: Maintaining balance with an ambidextrous organisation","volume":"79","author":"Gill","year":"2019","journal-title":"Int. J. Technol. Manag."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.ijhm.2018.05.015","article-title":"Travel distance and hotel service satisfaction: An inverted U-shaped relationship","volume":"76","author":"Park","year":"2019","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.tourman.2019.03.009","article-title":"Opinion mining from online travel reviews: A comparative analysis of Chinese major OTAs using semantic association analysis","volume":"74","author":"Hou","year":"2019","journal-title":"Tour. Manag."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1108\/TR-04-2022-0190","article-title":"Destination image: A consumer-based, big data-enabled approach","volume":"78","author":"Zhong","year":"2023","journal-title":"Tour. Rev."},{"key":"ref_76","unstructured":"Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language understanding. arXiv."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"4413","DOI":"10.1007\/s11042-021-11774-3","article-title":"Customer satisfaction-oriented product configuration approach based on online product reviews","volume":"81","author":"Cheng","year":"2022","journal-title":"Multimed. Tools Appl."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"10283","DOI":"10.1016\/j.eswa.2012.02.166","article-title":"Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis","volume":"39","author":"Zhang","year":"2012","journal-title":"Expert Syst. Appl."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.knosys.2018.02.012","article-title":"Weakly supervised topic sentiment joint model with word embeddings","volume":"147","author":"Fu","year":"2018","journal-title":"Knowl.-Based Syst."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Chen, Y., Zhong, Y., Yu, S., Xiao, Y., and Chen, S. (2022). Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model. Appl. Sci., 12.","DOI":"10.3390\/app12020692"},{"key":"ref_81","unstructured":"Donohue, J.C. (1973). Understanding Scientific Literatures: A Bibliometric Approach, MIT Press."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.tourman.2017.11.014","article-title":"Meeting planners\u2019 online reviews of destination hotels: A twofold content analysis approach","volume":"66","author":"Boo","year":"2018","journal-title":"Tour. Manag."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.tourman.2010.05.006","article-title":"Impact of financial\/economic crisis on demand for hotel rooms in Hong Kong","volume":"32","author":"Song","year":"2011","journal-title":"Tour. Manag."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1002\/smj.3201","article-title":"How incumbents respond to competition from innovative disruptors in the sharing economy\u2014The impact of Airbnb on hotel performance","volume":"43","author":"Chang","year":"2020","journal-title":"Strateg. Manag. J."},{"key":"ref_85","unstructured":"Zhang, Y. (2020). Research on the Development Model of Cultural Resources and Chengdu\u2019s Cultural and Leisure Industry. Soc. Sci., 90\u201398."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1108\/IJCHM-06-2022-0726","article-title":"Classifying travellers\u2019 requirements from online reviews: An improved Kano model","volume":"36","author":"Zhao","year":"2024","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"011101","DOI":"10.1115\/1.4044435","article-title":"A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems","volume":"142","author":"Zhou","year":"2020","journal-title":"J. Mech. Design"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1016\/j.tourman.2016.08.012","article-title":"Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews","volume":"59","author":"Liu","year":"2017","journal-title":"Tour. Manag."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.tourman.2019.03.013","article-title":"The impact of dynamic price variability on revenue maximization","volume":"74","author":"Abrate","year":"2019","journal-title":"Tour. Manag."}],"container-title":["Journal of Theoretical and Applied Electronic Commerce Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/0718-1876\/19\/3\/90\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:18:58Z","timestamp":1760109538000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/0718-1876\/19\/3\/90"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,18]]},"references-count":89,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,9]]}},"alternative-id":["jtaer19030090"],"URL":"https:\/\/doi.org\/10.3390\/jtaer19030090","relation":{},"ISSN":["0718-1876"],"issn-type":[{"value":"0718-1876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,18]]}}}