{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T21:33:51Z","timestamp":1778276031120,"version":"3.51.4"},"reference-count":85,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T00:00:00Z","timestamp":1664496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangdong Higher Education Upgrading Plan","award":["UICR0400031-21"],"award-info":[{"award-number":["UICR0400031-21"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>E-commerce in the hospitality and tourism field has already ranked No. 2 among all online shopping categories worldwide. However, customers\u2019 visits to a hotel booking website cannot guarantee the generation of sales, while the conversion rate is regarded as the indicator that effectively assesses the e-commerce website performance. This study aimed to investigate the influential factors of conversion rates from both affective content and the communication style of customer\u2019s online reviews. The affective content was evaluated with eight emotional dimensions (i.e., joy, sadness, anger, fear, trust, disgust, anticipation, and surprise) in Plutchik\u2019s emotion wheel, and the communication style perspective was assessed with linguistic style matching (LSM). In total, 111,926 customer reviews from 641 hotels in five cities in the U.S. were collected for the analysis. Results indicated that LSM and four emotions have significant impacts on hotel conversion rates. This research contributes to the knowledge body of customers\u2019 conversion behaviors on hotel booking websites and offers pertinent practical implications.<\/jats:p>","DOI":"10.3390\/jtaer17040064","type":"journal-article","created":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T01:43:11Z","timestamp":1665279791000},"page":"1264-1278","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Predicting Conversion Rates in Online Hotel Bookings with Customer Reviews"],"prefix":"10.3390","volume":"17","author":[{"given":"Liang","family":"Tang","sequence":"first","affiliation":[{"name":"Apparel, Events, and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA 50011, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0566-5357","authenticated-orcid":false,"given":"Xi","family":"Wang","sequence":"additional","affiliation":[{"name":"Culture, Creativity and Management, School of Culture and Creativity, BNU-HKBU United International College, Zhuhai 519085, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6405-6933","authenticated-orcid":false,"given":"Eojina","family":"Kim","sequence":"additional","affiliation":[{"name":"Hospitality and Tourism Management, Pamplin College of Business, Virginia Tech, Blacksburg, VA 24061, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,30]]},"reference":[{"key":"ref_1","first-page":"213","article-title":"Hotel website quality, perceived flow, customer satisfaction and purchase intention","volume":"7","author":"Ali","year":"2016","journal-title":"J. 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