論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available
論文名稱 Title |
文化差異對餐廳評論影響之研究:以 TripAdvisor 網站上 台灣餐廳評論為例 A Research on the Impact of Cultures on Restaurant Reviews |
||
系所名稱 Department |
|||
畢業學年期 Year, semester |
語文別 Language |
||
學位類別 Degree |
頁數 Number of pages |
49 |
|
研究生 Author |
|||
指導教授 Advisor |
|||
召集委員 Convenor |
|||
口試委員 Advisory Committee |
|||
口試日期 Date of Exam |
2024-01-23 |
繳交日期 Date of Submission |
2024-01-30 |
關鍵字 Keywords |
情緒分析、跨文化分析、大型語言模型、Hofstede文化維度理論、TripAdvisor、餐廳評論、線上評論 Emotion Analysis, Cross-cultural Analysis, Large Language Model, Hofstede's Cultural Dimensions Theory, TripAdvisor, Restaurant Reviews, Online Reviews |
||
統計 Statistics |
本論文已被瀏覽 162 次,被下載 6 次 The thesis/dissertation has been browsed 162 times, has been downloaded 6 times. |
中文摘要 |
現代社會中,外食已成為人們日常生活不可或缺的一部分。隨著社會變遷和生活節奏的加快,越來越多的人選擇在餐廳享用美食,外食比例也逐漸攀升。這種趨勢使得餐廳評論成為消費者之間分享和交流的一個重要方式。留下餐廳評論的消費者行為不僅是對個別用餐體驗的回應,同時也在形成社會口碑和影響其他潛在顧客的選擇。因此,深入了解這些餐廳評論中隱含的情感和文化構面,以及消費者對於不同文化背景下餐廳的期望和偏好,具有重要的理論和實務意義。 本論文透過研究Hofstede文化維度理論與自然語言處理技術,自TripAdvisor網站上透過爬蟲技術擷取不同國家顧客的餐廳評論,在考量Hofstede文化維度理論的差異程度後,篩選出的四個國家評論(中國、日本、台灣及美國),透過API方式運用大型語言模型(LLM)、OpenAI GPT 3.5 turbo模型,來分析各國餐廳評論的情緒及跨文化分析。 綜合情感分析和Hofstede模型的跨文化分析之後,本研究發現四國餐廳評論普遍呈現正向情緒。在跨文化分析中,各國在文化構面上存在差異,尤其在個人主義、成就與成功的動力等構面。這些發現為餐廳經營提供了實質洞察,強調了情感管理和文化適應的重要性,並根據研究結果提出了針對擷取評論的三間餐廳(上引水產、鼎泰豐及養心茶樓)提供經營管理建議。 |
Abstract |
In modern society, dining out has become an indispensable part of people's daily lives. With the rapid changes in society and the acceleration of lifestyles, an increasing number of individuals choose to enjoy meals at restaurants, leading to a gradual rise in the proportion of dining out. This trend has made restaurant reviews a crucial means of sharing and communicating among consumers. The act of leaving reviews for restaurants not only serves as a response to individual dining experiences but also contributes to the formation of social reputations, influencing the choices of potential customers. Therefore, gaining in-depth insights into the emotions and cultural dimensions implicit in these restaurant reviews, as well as understanding consumer expectations and preferences for restaurants across different cultural backgrounds, holds significant theoretical and practical implications. This thesis utilizes Hofstede's cultural dimensions theory and natural language processing techniques to analyze restaurant reviews from different countries obtained from the TripAdvisor website through web scraping. Four countries' reviews (China, Japan, Taiwan, and the United States) were selected based on the degree of cultural dimension differences according to Hofstede's theory. The analysis was conducted using a combination of a large language model (LLM) and the OpenAI GPT 3.5 turbo model. After synthesizing emotional analysis and cross-cultural analysis using the Hofstede model, this study reveals that restaurant reviews from the four countries generally exhibit positive sentiments. In the cross-cultural analysis, variations are observed among the countries, particularly in cultural dimensions such as individualism, achievement, and power distance. These findings offer valuable insights for restaurant management, underscoring the significance of emotional management and cultural adaptation. Based on the research results, operational management recommendations are proposed for three selected restaurants (Addiction Aquatic Development, Din Tai Fung, and Yang Shin Vegetarian Restaurant). |
目次 Table of Contents |
論文審定書 i 誌謝 ii 摘要 iii Abstract iv 目錄 v 圖次 vi 表次 vii 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機 3 第三節 研究目的 4 第二章 文獻探討 5 第一節 Hofstede文化維度理論與跨文化情緒表達差異 5 第二節 線上評論與消費者決策 6 第三節 餐廳評論與文化差異 6 第三章 研究方法 8 第一節 資料蒐集 8 第二節 跨文化分析 10 第三節 資料預處理 12 第四節 自然語言處理 13 第四章 研究結果 17 第一節 情緒分析結果 17 第二節 跨文化分析結果 19 第五章 結論與建議 30 第一節 研究發現 30 第二節 管理意涵 31 第三節 研究限制與未來展望 33 參考文獻 34 附錄 38 附錄1. 自定義Hofstede文化維度理論詞典 38 附錄2. 評論國家佔比表 41 |
參考文獻 References |
Camras, L. A., & Shuster, M. M. (2013). Children’s expressive behavior in different cultural contexts. Cohen, E., & Avieli, N. (2004). Food in tourism: Attraction and impediment. Annals of tourism Research, 31(4), 755-778. González-Rodríguez, M. R., Martínez-Torres, R., & Toral, S. (2016). Post-visit and pre-visit tourist destination image through eWOM sentiment analysis and perceived helpfulness. International Journal of Contemporary Hospitality Management, 28(11), 2609-2627. Group, T. C. F. (2024). INTERCULTURAL MANAGEMENT - WHAT YOU NEED TO KNOW - 7. WHAT IS THE HOFSTEDE MODEL OF NATIONAL CULTURE? Retrieved 1/14 from https://www.hofstede-insights.com/intercultural-management#whatisthehofstedemodelofnationalculture Hofstede, G. (1984). Culture's consequences: International differences in work-related values (Vol. 5). sage. Hofstede, G. (1998). Masculinity and femininity: The taboo dimension of national cultures (Vol. 3). Sage. Hofstede, G. (2001). Culture's consequences: Comparing values, behaviors, institutions and organizations across nations (Vol. 34). sage. Hofstede, G. (2009). Geert Hofstede cultural dimensions. 2-3. Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online readings in psychology and culture, 2(1), 8. Hofstede, G. (2013). Hierarchical power distance in forty countries. Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations, software of the mind. Intercultural cooperation and its importance for survival. Hofstede, G. J., Jonker, C. M., & Verwaart, T. (2008a). Long-term orientation in trade. Complexity and Artificial Markets, 614, 107-119. Hofstede, G. J., Jonker, C. M., & Verwaart, T. (2008b). Modeling culture in trade: uncertainty avoidance. SpringSim, Insights, H. (2024). Country Comparison. Retrieved 01/14 from https://www.hofstede-insights.com/country-comparison/hong-kong,japan,taiwan,the-usa/ Jia, S. S. (2020). Motivation and satisfaction of Chinese and US tourists in restaurants: A cross-cultural text mining of online reviews. Tourism Management, 78, 104071. Khatwani, G., & Srivastava, P. R. (2017). An optimization model for mapping organization and consumer preferences for internet information channels. Journal of Global Information Management (JGIM), 25(2), 88-115. Kim, D.-Y., Wen, L., & Doh, K. (2010). Does cultural difference affect customer’s response in a crowded restaurant environment? A comparison of American versus Chinese customers. Journal of Hospitality & Tourism Research, 34(1), 103-123. Kim, K.-B., Kang, S.-Y., & Park, S.-H. (2014). Perceiving the atmosphere of asian restaurants: European customers vs. asian customer. International Journal of Tourism Sciences, 14(2), 111-125. Kim, S., Chung, J.-E., & Suh, Y. (2016). Multiple reference effects on restaurant evaluations: A cross-cultural study. International Journal of Contemporary Hospitality Management, 28(7), 1441-1466. Klein, L. R. (1998). Evaluating the potential of interactive media through a new lens: Search versus experience goods. Journal of business research, 41(3), 195-203. Lai, J., He, P., Chou, H.-M., & Zhou, L. (2013). Impact of national culture on online consumer review behavior. Global Journal of Business Research, 7(1), 109-115. Laksono, R. A., Sungkono, K. R., Sarno, R., & Wahyuni, C. S. (2019). Sentiment analysis of restaurant customer reviews on tripadvisor using naïve bayes. 2019 12th international conference on information & communication technology and system (ICTS), Li, J., Li, X., Yen, D. C., & Zhang, P. (2016). Impact of online review grouping on consumers' system usage behavior: a system restrictiveness perspective. Journal of Global Information Management (JGIM), 24(4), 45-66. Murray, K. B. (1991). A test of services marketing theory: consumer information acquisition activities. Journal of marketing, 55(1), 10-25. Nakayama, M., & Wan, Y. (2018). Is culture of origin associated with more expressions? An analysis of Yelp reviews on Japanese restaurants. Tourism Management, 66, 329-338. Nelson, P. (1970). Information and consumer behavior. Journal of political economy, 78(2), 311-329. Nieto-García, M., Muñoz-Gallego, P. A., & González-Benito, Ó. (2017). Tourists’ willingness to pay for an accommodation: The effect of eWOM and internal reference price. International Journal of Hospitality Management, 62, 67-77. Patterson, P. G., Brady, M. K., & McColl-Kennedy, J. R. (2016). Geysers or bubbling hot springs? A cross-cultural examination of customer rage from eastern and western perspectives. Journal of Service Research, 19(3), 243-259. Pine, B. J., & Gilmore, J. H. (1998). Welcome to the experience economy (Vol. 76). Harvard Business Review Press Cambridge, MA, USA. Richins, M. L. (1983). Negative word-of-mouth by dissatisfied consumers: A pilot study. Journal of marketing, 47(1), 68-78. Rogers, A., Daunt, K. L., Morgan, P., & Beynon, M. (2017). Examining the existence of double jeopardy and negative double jeopardy within Twitter. European Journal of Marketing, 51(7/8), 1224-1247. Rychlowska, M., Miyamoto, Y., Matsumoto, D., Hess, U., Gilboa-Schechtman, E., Kamble, S., Muluk, H., Masuda, T., & Niedenthal, P. M. (2015). Heterogeneity of long-history migration explains cultural differences in reports of emotional expressivity and the functions of smiles. Proceedings of the National Academy of Sciences, 112(19), E2429-E2436. Tsang, A. S., & Prendergast, G. (2009). Is a “star” worth a thousand words? The interplay between product‐review texts and rating valences. European Journal of Marketing, 43(11/12), 1269-1280. Wikipedia. (2024). 大型語言模型. Retrieved 1/14 from https://zh.wikipedia.org/zh-tw/%E5%A4%A7%E5%9E%8B%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B Xiao, L., & Li, Y. (2019). Examining the effect of positive online reviews on consumers' decision making: the valence framework. Journal of Global Information Management (JGIM), 27(3), 159-181. Zhang, J., Beatty, S. E., & Walsh, G. (2008). Review and future directions of cross-cultural consumer services research. Journal of business research, 61(3), 211-224. 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. 中華民國交通部觀光局. (2020). 來臺旅客消費及動向調查報告. In 中華民國交通部觀光局. 觀光市場調查摘要. 陳楚恬. (2021). 天天老是在外-剖析外食趨勢. In. 政策研究指標資料庫,PRIDE 國家實驗研究院科技政策研究與資訊中心. |
電子全文 Fulltext |
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。 論文使用權限 Thesis access permission:校內校外完全公開 unrestricted 開放時間 Available: 校內 Campus: 已公開 available 校外 Off-campus: 已公開 available |
紙本論文 Printed copies |
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。 開放時間 available 已公開 available |
QR Code |