题名

住宿業訂房平台線上評論之比較性分析-以Agoda與Airbnb為例

并列篇名

A Comparative Analysis of the Online Reviews from Online Booking Platforms in Hospitality Industry - Evidence of Agoda and Airbnb

DOI

10.6267/JTLS.202012_26(3).0002

作者

倪家珍(Jia-Jen Ni);王笠言(Li-Yen Wang);林孟彥(Tom M.Y. Lin)

关键词

電子口碑 ; 線上評論 ; 文字探勘 ; 住宿體驗 ; electronic word-of-mouth ; online reviews ; text mining ; lodging experience

期刊名称

觀光休閒學報

卷期/出版年月

26卷3期(2020 / 12 / 01)

页次

259 - 282

内容语文

繁體中文

中文摘要

線上訂房平台是多數人旅遊訂房的管道,主要的線上訂房平台可以分為OTA(Online Travel Agency)型與P2P(Peer-To-Peer)型,本研究在兩平台各挑選一個訂房網站做為研究對象,並使用文字探勘來比較住宿後留下的評論內容,討論住房旅客最介意的項目,來了解兩個平台的競爭優勢。本研究運用Python進行資料爬取,於OTA平台擷取26,287個評論,P2P平台擷取4,369個評論。再運用R語言進行文字探勘,進行平台與住宿點的關鍵字比較。研究結果顯示,無論在何種訂房平台,房間都是最重要的主題。但在OTA平台,旅客更在意服務與人員;在P2P平台,旅客更在意房東與地點。同時本研究也比較了臺北與花蓮的留言,發現不同地點的旅客,在意的重點也有所不同。最後根據研究結果進行理論的討論與提出管理意涵。

英文摘要

Accommodation rentals have a variety of internet distribution channels to help them sell rooms, including sites that have come to be called online travel agents (OTA), peer-to-peer (P2P) accommodation rentals websites. This study comparatively examines two major online booking platforms to explore the competitive edge of P2P accommodation in comparison to OTA by analyzing the content of online reviews. This research used Python to crawl data, getting 26,287 reviews from OTA platform and 4,369 reviews from P2P platform. Then we used R language to do the text mining, comparing the keywords between these two different online booking platforms' reviews. The results from analytics using text mining and word co-occurrence networks show that room always is the most important theme to discuss. Also, there are some discrepancies between these two platforms. Particularly, the services hotel supplying and room attendant are crucial points for the guest who's renting on OTA, and host and location are the essential points on P2P. We also compared the reviews from different cities-Taipei and Hualien, getting the different points those customers would emphasis when they choose a different city to accommodate. According to the results, we discuss the contribution from theory and management view.

主题分类 人文學 > 地理及區域研究
社會科學 > 體育學
参考文献
  1. Abdous, M. H.,He, W.(2011).Using text mining to uncover students' technology‐related problems in live video streaming.British Journal of Educational Technology,42(1),40-49.
  2. Ahmad, S. Z.,Ahmad, N.,Papastathopoulos, A.(2018).Measuring service quality and customer satisfaction of the small- and medium-sized hotels (SMSHs) industry: Lessons from United Arab Emirates (UAE).Tourism Review,74(3),349-370.
  3. Airbnb (2020) , 如何成為超讚房東 【 線上資料 】 , 來源 :https://www.airbnb.com.tw/help/article/829/%E5%A6%82%E4%BD%95%E6%88%90%E7%82%BA%E8%B6%85%E8%AE%9A%E6%88%BF%E6%9D%B1[2020, June 3]【 Airbnb.(2020). How do I become a superhost. Retrieved June 3, from https://www.airbnb.com.tw/help/article/829/%E5%A6%82%E4%BD%95%E6%88%90%E7%82%BA%E8%B6%85%E8%AE%9A%E6%88%BF%E6%9D%B1】
  4. Belarmino, A.,Whalen, E.,Koh, Y.,Bowen, J. T.(2017).Comparing guests’ key attributes of peer-to-pee accommodations and hotels: mixed-methods approach.Current Issues in Tourism,22(1),1-7.
  5. Buhalis, D.,Law, R.(2008).Progress in information technology and tourism management: 20 years on and 10 years after the Internet-The state of eTourism research.Tourism Management,29(4),609-623.
  6. Chang, Y. C.,Ku, C. H.,Chen, C. H.(2020).Using deep learning and visual analytics to explore hotel reviews and responses.Tourism Management,80,1-22.
  7. Chatterjee, S.(2020).Drivers of helpfulness of online hotel reviews: A sentiment and emotion mining approach.International Journal of Hospitality Management,85,1-9.
  8. Cheng, M.,Jin, X.(2019).What do Airbnb users care about? An analysis of online review comments.International Journal of Hospitality Management,76,58-70.
  9. Davis, A.,Khazanchi, D.(2008).An empirical study of online word of mouth as a predictor for multi‐product category e‐commerce sales.Electronic Markets,18(2),130-141.
  10. Ert, E.,Fleischer, A.,Magen, N.(2016).Trust and reputation in the sharing economy: The role of personal photos in Airbnb.Tourism Management,55,62-73.
  11. Filieri, R.,McLeay, F.(2014).E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews.Journal of Travel Research,53(1),44-57.
  12. Guerreiro, J.,Rita, P.(2020).How to predict explicit recommendations in online reviews using text mining and sentiment analysis.Journal of Hospitality and Tourism Management,43,269-272.
  13. Guttentag, D.(2015).Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector.Current Issues in Tourism,18(12),1192-1217.
  14. Guttentag, D. A.,Smith, S. L. J.(2017).Assessing Airbnb as a disruptive innovation relative to hotels: Substitution and comparative performance expectations.International Journal of Hospitality Management,64,1-10.
  15. Hou, Z.,Cui, F.,Meng, Y.,Lian. T.,Yu, C.(2019).Opinion mining from online travel reviews: A comparative analysis of Chinese major OTAs using semantic association analysis.Tourism Management,74,276-289.
  16. Hu, F.,Teichert, T.,Liu, Y.,Li, H.,Gundyreva, E.(2019).Evolving customer expectations of hospitality services: Differences in attribute effects on satisfaction and Re-Patronage.Tourism Management,74,345-357.
  17. Ju, Y.,Back, K. J.,Choi, Y.,Lee, J. S.(2019).Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction.International Journal of Hospitality Management,77,342-352.
  18. Lee, C. K. H.,Tse, Y. K.,Zhang, M.,Ma, J.(2020).Analysing online reviews to investigate customer behavior in the sharing economy-The case of Airbnb.Information Technology & People,33(3),945-961.
  19. Lee, M.,Cai, Y.,DeFranco, A.,Lee, J.(2020).Exploring influential factors affecting guest satisfaction-Big data and business analytics in consumer-generated reviews.Journal of Hospitality and Tourism Technology,11(1),137-153.
  20. Leung, R.,Au, N.,Liu, J.,Law, R.(2018).Do customers share the same perspective? A study on online OTAs ratings versus user ratings of Hong Kong hotels.Journal of Vacation Marketing,24(2),103-117.
  21. Li, H.,Liu, Y.,Tan, C. W.,Hu, F.(2020).Comprehending customer satisfaction with hotels: Data analysis of consumer-generated reviews.International of Contemporary Hospitality Management,32(5),1713-1735.
  22. Li, X.,Pan, B.,Zhang, L.,Smith, W. W.(2009).The effect of online information search on image development: Insights from a mixed-methods study.Journal of Travel Research,48(1),45-57.
  23. Liang, S.,Schuckert, M.,Law, R.,Chen, C. C.(2017).Be a “Superhost”: The importance of badge systems for peer-to-peer rental accommodations.Tourism Management,60,454-465.
  24. Liang, S.,Schuckert, M.,Law, R.,Chen, C. C.(2020).The importance of marketer-generated content to peer-to-peer property rental platforms: Evidence from Airbnb.International Journal of Hospitality Management,84,1-11.
  25. Mody, M. A.,Suess, C.,Lehto, X.(2017).The accommodation experiencescape: A comparative assessment of hotels and Airbnb.International Journal of Contemporary Hospitality Management,29(9),2377-2404.
  26. Mohlmann, M.(2015).Collaborative consumption: Determinants of satisfaction and the likelihood of using a sharing economy option again.Journal of Consumer Behaviour,14(3),193-207.
  27. Oskam, J.,Boswijk, A.(2016).Airbnb: The future of networked hospitality businesses.Journal of Tourism Futures,2(1),22-42.
  28. Priporas, C. V.,Stylos, N.,Vedanthachari, L. N.,Santiwatana, P.(2017).Service quality, satisfaction, and customer loyalty in Airbnb accommodation in Thailand.International Journal of Tourism Research,19(6),693-704.
  29. Ren, L.,Qiu, H.,Wang, P.,Lin, P. M. C.(2016).Exploring customer experience with budget hotels: Dimensionality and satisfaction.International Journal of Hospitality Management,52,13-23.
  30. Schuckert, M.,Liu, X.,Law, R.(2015).Hospitality and tourism online reviews: Recent trends and future directions.Journal of Travel & Tourism Marketing,32(5),608-621.
  31. Sotiriadis, M. D.,Van Zyl, C.(2013).Electronic word-of-mouth and online reviews in tourism services: The use of twitter by tourists.Electronic Commerce Research,13(1),103-124.
  32. Tang, C.,Guo, L.(2015).Digging for gold with a simple tool: Validating text mining in studying electronic word-of-mouth (eWOM) communication.Marketing Letters,26(1),67-80.
  33. Toh, R. S.,Raven, P.,DeKay, F.(2011).Selling rooms: Hotels vs. third-party websites.Cornell Hospitality Quarterly,52(2),181-189.
  34. Tsantis, L.,Castellani, J.(2001).Enhancing learning environments through solution based knowledge discovery tools: Forecasting for self-perpetuating systemic reform.Journal of Special Education Technology,16(4),39-52.
  35. Tussyadiah, I. P.(2016).Factors of satisfaction and intention to use peer-to-peer accommodation.International Journal of Hospitality Management,55,70-80.
  36. Tussyadiah, I. P.,Park, S.(2018).When guests trust hosts for their words: Host description and trust in sharing economy.Tourism Management,67,261-272.
  37. Tussyadiah, I. P.,Pesonen, J.(2016).Impacts of peer-to-peer accommodation use on travel patterns.Journal of Travel Research,55(8),1022-1040.
  38. Vermeulen, I. E.,Seegers, D.(2009).Tried and tested: The impact of online hotel reviews on consumer consideration.Tourism Management,30(1),123-127.
  39. Wu, M. Y,Pearce, P.,Dong, W.(2017).How satisfying are Shanghai’s superior hotels? The reviews of international tourists.International Journal of Contemporary Hospitality Management,29(4),1096-1115.
  40. Xiang, Z.,Du, Q.,Ma, Y.,Fan, W.(2017).A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism.Tourism Management,58,51-65.
  41. Xiang, Z.,Schwartz, Z.,Gerdes, J. H., Jr.,Uysal, M.(2015).What can big data and text analytics tell us about hotel guest experience and satisfaction?.International Journal of Hospitality Management,44,120-130.
  42. Xu, X.,Li, Y.(2016).The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach.International Journal of Hospitality Management,55,57-69.
  43. Xu, Y.,Zhang, Z.,Law. R.,Zhang, Z.(2019).Effects of online reviews and managerial responses from a review manipulation perspective.Current Issues in Tourism,23(17),2207-2222.
  44. Yang, Y.,Mao, Z.,Tang(2018).Understanding guest satisfaction with urban hotel location.Journal of Travel Research,57(2),249-259.
  45. Yao, B.,Qiu, B. T. R.,Fan, D. X. F.,Liu, A.,Buhalis, D.(2019).Standing out from the crowd – an exploration of signal attributes of Airbnb listings.International Journal of Contemporary Hospitality Management,31(12),4520-4542.
  46. Ye, Q.,Law, R.,Gu, B.(2009).The impact of online user reviews on hotel room sales.International Journal of Hospitality Management,28(1),180-182.
  47. Zervas. G.,Proserpio, D.,Byers, J. W.(2017).The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry.Journal of Marketing Research,54(5),687-705.
  48. Zhang, Z.,Ye, Q.,Law, R.,Li, Y.(2010).The impact of e-word-of-mouth on the online popularity of restaurants: A comparison of consumer reviews and editor reviews.International Journal of Hospitality Management,29(4),694-700.
  49. Zhou, L.,Ye, S.,Pearce, P. L.,Wu, M. Y.(2014).Refreshing hotel satisfaction studies by reconfiguring customer review data.International Journal of Hospitality Management,38,1-10.
  50. 交通部觀光局 , (2018) , 旅宿業相關統計 【 線上資料 】, 來源 :https://admin.taiwan.net.tw/FileUploadCategoryListC003330.aspx?CategoryID=a7cf8979-fa4b-4473-98eb-86467e19dbbb&appname=FileUploadCategoryListC003330[2020, June 3]【Tourism Bureau, MOTC. Republic of China. (2019). Tourism Statistics. Retrieved June 3, from https://admin.taiwan.net.tw/FileUploadCategoryListC003330.aspx?CategoryID=a7cf8979-fa4b-4473-98eb-86467e19dbbb&appname=FileUploadCategoryListC003330】
  51. 創市際市場研究顧問,(2017),旅遊篇與飯店訂房類別網站使用概況【線上資料】,來源:https://www.ixresearch.com/wp-content/uploads/report/InsightXplorer%20Biweekly%20Report_20171016.pdf [2020, June 3]【INSIGHTXPLORER. (2017). Travel articles and hotel accommodation rental websites usage overview. Retrieved June 3, from https://www.ixresearch.com/wpcontent/uploads/report/InsightXplorer%20Biweekly%20Report_20171016.pdf】
被引用次数
  1. 陳盈如,吳東霖(2023)。疫情前後花東地區渡假村遊客評論變化。Journal of Data Analysis,18(3),37-58。
  2. 龔曉菁,廖耿彬,高怡,余治明,王國欽(2021)。逆境能上游?飯店、線上訂房平台競合下商業生態系統建構研究。觀光休閒學報,27(2),195-244。
  3. 林孟彥,李佳羚,方正璽(2022)。分數重要還是人氣重要?自我建構對消費者觀看餐廳評論線索之影響。觀光休閒學報,28(1),99-129。