Details of Research Outputs

Status已发表Published
TitlePredicting Conversion Rates in Online Hotel Bookings with Customer Reviews
Creator
Date Issued2022-12-01
Source PublicationJournal of Theoretical and Applied Electronic Commerce Research
Volume17Issue:4Pages:1264-1278
Abstract

E-commerce in the hospitality and tourism field has already ranked No. 2 among all online shopping categories worldwide. However, customers’ 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’s online reviews. The affective content was evaluated with eight emotional dimensions (i.e., joy, sadness, anger, fear, trust, disgust, anticipation, and surprise) in Plutchik’s 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’ conversion behaviors on hotel booking websites and offers pertinent practical implications.

Keywordconversion rate e-commerce in hospitality hotel booking linguistic style matching Plutchik’s emotion wheel
DOI10.3390/jtaer17040064
URLView source
Indexed BySSCI
Language英语English
WOS Research AreaBusiness & Economics
WOS SubjectBusiness
WOS IDWOS:000901147700001
Scopus ID2-s2.0-85144363986
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10080
CollectionSchool of Culture and Creativity
Corresponding AuthorWang, Xi
Affiliation
1.Apparel,Events,and Hospitality Management,College of Human Sciences,Iowa State University,Ames,50011,United States
2.Culture,Creativity and Management,School of Culture and Creativity,BNU-HKBU United International College,Zhuhai,519085,China
3.Hospitality and Tourism Management,Pamplin College of Business,Virginia Tech,Blacksburg,24061,United States
Corresponding Author AffilicationSchool of Culture and Creativity
Recommended Citation
GB/T 7714
Tang, Liang,Wang, Xi,Kim, Eojina. Predicting Conversion Rates in Online Hotel Bookings with Customer Reviews[J]. Journal of Theoretical and Applied Electronic Commerce Research, 2022, 17(4): 1264-1278.
APA Tang, Liang, Wang, Xi, & Kim, Eojina. (2022). Predicting Conversion Rates in Online Hotel Bookings with Customer Reviews. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1264-1278.
MLA Tang, Liang,et al."Predicting Conversion Rates in Online Hotel Bookings with Customer Reviews". Journal of Theoretical and Applied Electronic Commerce Research 17.4(2022): 1264-1278.
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