UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES
Online reviews are used in tourism research to understand tourist behaviour. However, online comments made by hotel employee have not yet been adequately researched. The study aims to determine on which topics the employees express their ideas, thoughts, and opinions, that is, on which topics they...
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| Format: | Article |
| Language: | English |
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Editura Universităţii din Oradea
2022-08-01
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| Series: | Geo Journal of Tourism and Geosites |
| Subjects: | |
| Online Access: | https://gtg.webhost.uoradea.ro/PDF/GTG-3-2022/gtg.43315-909.pdf |
| _version_ | 1828085748002193408 |
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| author | Ozan ÇATIR |
| author_facet | Ozan ÇATIR |
| author_sort | Ozan ÇATIR |
| collection | DOAJ |
| description | Online reviews are used in tourism research to understand tourist behaviour. However, online comments made by
hotel employee have not yet been adequately researched. The study aims to determine on which topics the employees express
their ideas, thoughts, and opinions, that is, on which topics they are voice 11,115 comments written by the employees of a chain
hotel were analysed. In this study, the latent Dirichlet allocation (LDA) topic modelling method was preferred for the analysis of
online comments made by employees. Because of the study, the themes of salary and benefits, management behaviour, service
quality, work-life balance, career development, work time, work environment, social rights, career opportunities, food and
beverage facilities, ability development were determined. Among the negative comments, the themes of hotel management
behaviour, work time, salary and benefits, work-life balance, and career opportunities were determined. |
| first_indexed | 2024-04-11T04:44:25Z |
| format | Article |
| id | doaj.art-5b8e1d976dd547d993bc0493405d7f51 |
| institution | Directory Open Access Journal |
| issn | 2065-0817 |
| language | English |
| last_indexed | 2024-04-11T04:44:25Z |
| publishDate | 2022-08-01 |
| publisher | Editura Universităţii din Oradea |
| record_format | Article |
| series | Geo Journal of Tourism and Geosites |
| spelling | doaj.art-5b8e1d976dd547d993bc0493405d7f512022-12-27T14:01:46ZengEditura Universităţii din OradeaGeo Journal of Tourism and Geosites2065-08172022-08-0143395596310.30892/gtg.43315-909UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSESOzan ÇATIR0Usak University, Tourism and Travel Services, Vocational School of Ulubey, Usak, Turkey, e-mail:ozan.catir@usak.edu.trOnline reviews are used in tourism research to understand tourist behaviour. However, online comments made by hotel employee have not yet been adequately researched. The study aims to determine on which topics the employees express their ideas, thoughts, and opinions, that is, on which topics they are voice 11,115 comments written by the employees of a chain hotel were analysed. In this study, the latent Dirichlet allocation (LDA) topic modelling method was preferred for the analysis of online comments made by employees. Because of the study, the themes of salary and benefits, management behaviour, service quality, work-life balance, career development, work time, work environment, social rights, career opportunities, food and beverage facilities, ability development were determined. Among the negative comments, the themes of hotel management behaviour, work time, salary and benefits, work-life balance, and career opportunities were determined.https://gtg.webhost.uoradea.ro/PDF/GTG-3-2022/gtg.43315-909.pdfonline employee reviewemployee voicehotel managementmachine learningtopic model |
| spellingShingle | Ozan ÇATIR UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES Geo Journal of Tourism and Geosites online employee review employee voice hotel management machine learning topic model |
| title | UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES |
| title_full | UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES |
| title_fullStr | UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES |
| title_full_unstemmed | UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES |
| title_short | UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES |
| title_sort | understanding employee voice using machine learning method example of hotel businesses |
| topic | online employee review employee voice hotel management machine learning topic model |
| url | https://gtg.webhost.uoradea.ro/PDF/GTG-3-2022/gtg.43315-909.pdf |
| work_keys_str_mv | AT ozancatir understandingemployeevoiceusingmachinelearningmethodexampleofhotelbusinesses |