簡易檢索 / 詳目顯示

研究生: 王笠言
Li-Yen Wang
論文名稱: 住宿業訂房平台線上評論之比較性分析
-以Agoda與Airbnb為例
A Comparative Analysis of Online Booking Platforms in Hospitality Industry by Using Text Mining Analytics
– Evidence of Agoda and Airbnb
指導教授: 林孟彥
Meng-Yen Lin
口試委員: 林孟彥
Meng-Yen Lin
蔡瑤昇
Yau-sheng Tsai
葉穎蓉
Ying-jung Yeh
倪家珍
Jia-Jen Ni
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 31
中文關鍵詞: 電子口碑線上評論文字探勘住宿體驗
外文關鍵詞: Electronic Word-of-Mouth, Online Reviews, Text Mining, Lodging Experience
相關次數: 點閱:433下載:16
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 線上訂房平台是現今多數人外出旅遊訂房的管道,而主流的線上訂房平台主要分為兩類,一為OTA(Online Travel Agency)型,提供的房源多為連鎖飯店及商旅;另一為P2P(Peer-To-Peer)型,提供多元特色之民宿。本研究挑選Agoda與Airbnb為研究樣本,並使用文字探勘,比較OTA平台與P2P平台上,房客在住宿體驗後的評論的差異。本研究利用R語言進行文字探勘,找出各平台之評論關鍵字。
    研究結果顯示,無論在何種訂房平台中,房間特性都是房客最重要的評論主題。而OTA平台中,房客更在意服務人員的服務態度;P2P平台中,房客更在意房東的親切感及交通機能性。最後,本研究利用R語言將研究結果做資料視覺化,產出各平台之關鍵字關聯圖,使研究結果更淺顯易懂,並根據研究結果提出管理上之意涵。


    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) and peer-to-peer (P2P) accommodation rentals websites. This study comparatively examines two major online booking platforms, namely Agoda and Airbnb to explore the competitive edge of P2P accommodation in comparison to OTA by analysis the content of online reviews.
    The results from analytics using text mining and word co-occurrence networks show that there are some discrepancies between these platforms. Particularly, the services of room attendant are crucial points for the guest who's renting on OTA, and the ease of transportation access is the essential on P2P websites.

    摘要 I Abstract I 致謝 II 目錄 III 圖目錄 IV 表目錄 V 1. 緒論 1 2. 文獻探討 1 2.1. 線上訂房平台 1 2.1.1. OTA型- Agoda 2 2.1.2. P2P型- Airbnb 2 2.2. 線上評論 3 3. 研究方法 3 3.1. 研究流程 4 3.2. 評論資料樣本 4 3.3. 文字/資料擷取 5 3.4. 文字/資料預處理 5 3.5. 文字/資料分析 5 3.5.1. JiebaR中文斷詞 5 3.5.2. TF-IDF關鍵字分析 6 3.5.3. 關聯性分析 6 3.6. 資訊視覺化 7 4. 研究結果 7 4.1. TF-IDF關鍵字分析 7 4.2. 關聯性分析 10 4.3. 地點差異之比較 13 5. 結論與建議 13 5.1. 結論 13 5.2. 管理意涵 14 5.3. 研究限制與建議 15 References 16 附錄一 Agoda百大詞頻表 20 附錄二 Airbnb百大詞頻表 21 附錄三 Python 爬蟲程式碼 22 附錄四 R語言TF-IDF程式碼 24 附錄五 R語言 Apriori程式碼 25

    Abdous, M'hammed and Wu He (2011), “Using Text Mining to Uncover Students' Technology‐Related Problems in Live Video Streaming,” British Journal of Educational Technology, 42 (1), 40-49.

    Agrawal, Rakesh and Ramakrishnan Srikant (1994), “Fast Algorithms for Mining Association Rules,” in Proc. 20th int. conf. very large data bases, VLDB Vol. 1215.

    Ayeh, Julian K., Norman Au, and Rob Law (2013), “Do We Believe in Tripadvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude Toward Using User-Generated Content," Journal of Travel Research, 52 (4), 437-52.

    Browning, Victoria, Kevin Kam Fung So, and Beverley Sparks (2013), “The Influence of Online Reviews on Consumers' Attributions of Service Quality and Control for Service Standards in Hotels,” Journal of Travel & Tourism Marketing, 30 (1-2), 23-40.

    Buhalis, Dimitrios and Rob Law (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), 609-23.

    Davis, Alanah and Deepak Khazanchi (2008), “An Empirical Study of Online Word of Mouth as A Predictor for Multi‐Product Category E‐Commerce Sales,” Electronic markets, 18 (2), 130-41.

    Ert, Eyal, Aliza Fleischer, and Nathan Magen (2016), “Trust and Reputation in the Sharing Economy: the Role of Personal Photos in Airbnb,” Tourism Management, 55, 62-73.

    Filieri, Raffaele and Fraser McLeay (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.

    Gretzel, U., KH Yoo, and M Purifoy (2007), “Online Travel Review Study: Role & Impact of Online Travel Reviews, Laboratory for Intelligent System in Tourism.”

    Guttentag, Daniel (2015), “Airbnb: Disruptive Innovation and the Rise of An Informal Tourism Accommodation Sector,” Current Issues in Tourism, 18 (12), 1192-217.

    He, W., T. Chee, DZ Chong, and E Rasnick (2012), ”Analyzing the Trends of E-Marketing from 2001 to 2010 with the Use of Bibliometrics and Text Mining,” International Journal of Online Marketing, 2 (1), 16-24.

    Hung, Jui‐long (2012), “Trends of E‐Learning Research from 2000 to 2008: Use of Text Mining and Bibliometrics,” British Journal of Educational Technology, 43 (1), 5-16.

    Ingvaldsen, Jon Espen and Jon Atle Gulla (2012), “Industrial Application of Semantic Process Mining,” Enterprise Information Systems, 6 (2), 139-63.

    Jessop, David M., Sam E. Adams, Egon L. Willighagen, Lezan Hawizy, and Peter Murray-Rust (2011), “OSCAR4: A Flexible Architecture for Chemical Text-Mining,” Journal of Cheminformatics, 3 (1), 41.

    Karlsson, Logi, Astrid Kemperman, and Sara Dolnicar (2017), “May I Sleep in Your Bed? Getting Permission to Book,” Annals of Tourism Research, 62, 1-12.

    Lau, Kin-Nam, Kam-Hon Lee, and Ying Ho (2005), “Text Mining for the Hotel Industry,” Cornell Hotel and Restaurant Administration Quarterly, 46 (3), 344-62.

    Leung, Rosanna, Norman Au, Jianwei Liu, and Rob Law (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), 103-17.

    Li, Xiang, Bing Pan, Lixuan Zhang, and Wayne W Smith (2009), “The Effect of Online Information Search on Image Development: Insights from A Mixed-Methods Study,” Journal of Travel Research, 48 (1), 45-57.

    Liang, Sai, Markus Schuckert, Rob Law, and Chih-Chien Chen (2017), “Be A “Superhost”: The Importance of Badge Systems for Peer-To-Peer Rental Accommodations,” Tourism Management, 60, 454-65.

    Liu, Yong, Thorsten Teichert, Matti Rossi, Hongxiu Li, and Feng Hu (2017), “Big Data for Big Insights: Investigating language-Specific Drivers of Hotel Satisfaction with 412,784 User-Generated Reviews,” Tourism Management, 59, 554-63.

    Mayer-Schönberger, V. and Kenneth Cukier (2013), ”Big Data–A Revolution That Will Transform How We Live, Think and Work,” London: John Murray.

    Mody, Makarand Amrish, Courtney Suess, and Xinran Lehto (2017), “The Accommodation Experiencescape: A Comparative Assessment of Hotels and Airbnb,” International Journal of Contemporary Hospitality Management, 29 (9), 2377-404.

    Nelson, Phillip (1970), “Information and Consumer Behavior,” Journal of Political Economy, 78 (2), 311-329.
    Netzer, Oded, Ronen Feldman, Jacob Goldenberg, and Moshe Fresko (2012), “Mine Your Own Business: Market-Structure Surveillance through Text Mining,” Marketing Science, 31 (3), 521-43.

    Oskam, Jeroen and Albert Boswijk (2016), “Airbnb: The Future of Networked Hospitality Businesses,” Journal of Tourism Futures, 2 (1), 22-42.

    Park, Do-Hyung and Jumin Lee (2008), “eWOM Overload and its Effect on Consumer Behavioral Intention Depending on Consumer Involvement,” Electronic Commerce Research and Applications, 7 (4), 386-98.

    Scaglione, Miriam and Roland Schegg (2015), “The Impact of Attribute Preferences on Adoption Timing of Hotel Distribution Channels: are OTAs Winning the Customer Race?,” in Information and Communication Technologies in Tourism 2015: Springer.

    Schuckert, Markus, Xianwei Liu, and Rob Law (2015), “Hospitality and Tourism Online Reviews: Recent Trends and Future Directions,” Journal of Travel & Tourism Marketing, 32 (5), 608-21.

    Sotiriadis, Marios D. and Cinà Van Zyl (2013), “Electronic Word-Of-Mouth and Online Reviews in Tourism Services: The Use of Twitter by Tourists,” Electronic Commerce Research, 13 (1), 103-24.

    Tang, Chuanyi and Lin Guo (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.

    Toh, Rex S., Peter Raven, and Frederick DeKay (2011), “Selling Rooms: Hotels vs. Third-Party Websites,” Cornell Hospitality Quarterly, 52 (2), 181-89.

    Tsantis, Linda and John Castellani (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.

    Tussyadiah, Iis P. and Juho Pesonen (2016), “Impacts of Peer-To-Peer Accommodation Use on Travel Patterns,” Journal of Travel Research, 55 (8), 1022-40.

    Vermeulen, Ivar E and Daphne Seegers (2009), “Tried and Tested: The Impact of Online Hotel Reviews on Consumer Consideration,” Tourism Management, 30 (1), 123-27.

    Wetzstein, Branimir, Philipp Leitner, Florian Rosenberg, Schahram Dustdar, and Frank Leymann (2011), “Identifying Influential Factors of Business Process Performance Using Dependency Analysis,” Enterprise Information Systems, 5 (1), 79-98.

    Xiang, Zheng and Ulrike Gretzel (2010), “Role of Social Media in Online Travel Information Search,” Tourism Management, 31 (2), 179-88.

    Xiang, Zheng, Qianzhou Du, Yufeng Ma, and Weiguo Fan (2017), “A Comparative Analysis of Major Online Review Platforms: Implications for Social Media Analytics in Hospitality and Tourism,” Tourism Management, 58, 51-65.

    Xu, Xun and Yibai Li (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.

    Ye, Qiang, Rob Law, and Bin Gu (2009), “The Impact of Online User Reviews on Hotel Room Sales,” International Journal of Hospitality Management, 28 (1), 180-82.

    Zhang, Ziqiong, Qiang Ye, and Rob Law (2011), “Determinants of Hotel Room Price: An Exploration of Travelers' Hierarchy of Accommodation Needs,” International Journal of Contemporary Hospitality Management, 23 (7), 972-81.

    Zhu, Fei, Preecha Patumcharoenpol, Cheng Zhang, Yang Yang, Jonathan Chan, Asawin Meechai, Wanwipa Vongsangnak, and Bairong Shen (2013), “Biomedical Text Mining and its Applications in Cancer Research,” Journal of Biomedical Informatics, 46 (2), 200-11.

    Zhu, Feng and Xiaoquan Zhang (2010), “Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics,” Journal of Marketing, 74 (2), 133-48.

    QR CODE