Why Customers Don’t Revisit in Tourism and Hospitality Industry?
The development of social media has changed the way that travelers visit sightseeing spots. The social Internet of Things (IoT) allows products to automatically generate posts, share content and location information, and help build an online community of users based on their company's products,...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8862827/ |
| _version_ | 1818349452384010240 |
|---|---|
| author | Jing-Rong Chang Mu-Yen Chen Long-Sheng Chen Shu-Cih Tseng |
| author_facet | Jing-Rong Chang Mu-Yen Chen Long-Sheng Chen Shu-Cih Tseng |
| author_sort | Jing-Rong Chang |
| collection | DOAJ |
| description | The development of social media has changed the way that travelers visit sightseeing spots. The social Internet of Things (IoT) allows products to automatically generate posts, share content and location information, and help build an online community of users based on their company's products, so that marketing personnel can also get useful feedback and understand the user's opinions. In tourism and hospitality industry, to enhance the revisit intention of passengers is an important issue for the purpose of increasing margin. In recent years, related researches had focused on the customers' revisit behaviors and factors. However, few studies have investigated the related issues that travelers do not want to visit again. Failure to revisit may bring a great damage to the company's revenue in the future. To avoid this situation, a text mining based approach will be proposed to identify non-revisit factors from online textual reviews in social media. Because it is impossible to determine whether a passenger has intention to revisit, this study proposed a text mining based approach which uses sentiment of text reviews to identify the passenger's motivations (negative for revisit and non-negative for revisit). Then, feature selection methods, decision tree (DT), Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machines Recursive Feature Elimination (SVM-RFE) will be utilized to discover the important factors of non-revisit factor set. Back-propagation Neural Networks (BPN) and Support Vector Machines (SVM) will be employed to evaluate the effectiveness of selected feature sets. Finally, experimental results could be provided to travel service providers to improve service quality and effectively avoid non-revisit behaviors in the future. |
| first_indexed | 2024-12-13T18:06:10Z |
| format | Article |
| id | doaj.art-44401f0e2ff94ebdb6499fb9f005dd28 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T18:06:10Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-44401f0e2ff94ebdb6499fb9f005dd282022-12-21T23:36:03ZengIEEEIEEE Access2169-35362019-01-01714658814660610.1109/ACCESS.2019.29461688862827Why Customers Don’t Revisit in Tourism and Hospitality Industry?Jing-Rong Chang0Mu-Yen Chen1Long-Sheng Chen2https://orcid.org/0000-0002-2967-9956Shu-Cih Tseng3Department of Information Management, Chaoyang University of Technology, Taichung, TaiwanDepartment of Information Management, National Taichung University of Science and Technology, Taichung, TaiwanDepartment of Information Management, Chaoyang University of Technology, Taichung, TaiwanDepartment of Information Management, Chaoyang University of Technology, Taichung, TaiwanThe development of social media has changed the way that travelers visit sightseeing spots. The social Internet of Things (IoT) allows products to automatically generate posts, share content and location information, and help build an online community of users based on their company's products, so that marketing personnel can also get useful feedback and understand the user's opinions. In tourism and hospitality industry, to enhance the revisit intention of passengers is an important issue for the purpose of increasing margin. In recent years, related researches had focused on the customers' revisit behaviors and factors. However, few studies have investigated the related issues that travelers do not want to visit again. Failure to revisit may bring a great damage to the company's revenue in the future. To avoid this situation, a text mining based approach will be proposed to identify non-revisit factors from online textual reviews in social media. Because it is impossible to determine whether a passenger has intention to revisit, this study proposed a text mining based approach which uses sentiment of text reviews to identify the passenger's motivations (negative for revisit and non-negative for revisit). Then, feature selection methods, decision tree (DT), Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machines Recursive Feature Elimination (SVM-RFE) will be utilized to discover the important factors of non-revisit factor set. Back-propagation Neural Networks (BPN) and Support Vector Machines (SVM) will be employed to evaluate the effectiveness of selected feature sets. Finally, experimental results could be provided to travel service providers to improve service quality and effectively avoid non-revisit behaviors in the future.https://ieeexplore.ieee.org/document/8862827/Text miningnon-revisitfeature selectiontourismsocial media |
| spellingShingle | Jing-Rong Chang Mu-Yen Chen Long-Sheng Chen Shu-Cih Tseng Why Customers Don’t Revisit in Tourism and Hospitality Industry? IEEE Access Text mining non-revisit feature selection tourism social media |
| title | Why Customers Don’t Revisit in Tourism and Hospitality Industry? |
| title_full | Why Customers Don’t Revisit in Tourism and Hospitality Industry? |
| title_fullStr | Why Customers Don’t Revisit in Tourism and Hospitality Industry? |
| title_full_unstemmed | Why Customers Don’t Revisit in Tourism and Hospitality Industry? |
| title_short | Why Customers Don’t Revisit in Tourism and Hospitality Industry? |
| title_sort | why customers don x2019 t revisit in tourism and hospitality industry |
| topic | Text mining non-revisit feature selection tourism social media |
| url | https://ieeexplore.ieee.org/document/8862827/ |
| work_keys_str_mv | AT jingrongchang whycustomersdonx2019trevisitintourismandhospitalityindustry AT muyenchen whycustomersdonx2019trevisitintourismandhospitalityindustry AT longshengchen whycustomersdonx2019trevisitintourismandhospitalityindustry AT shucihtseng whycustomersdonx2019trevisitintourismandhospitalityindustry |