政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/118312
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113324/144300 (79%)
Visitors : 51114266      Online Users : 797
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大典藏 > College of Commerce > MBA Program > Theses >  Item 140.119/118312
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/118312


    Title: 透過社群輿情分析探討餐飲類口碑操作方式-以咖啡廳產業為例
    The Research of the Online Business of Internet Public Opinion from Social Media – A Case Study of Coffee Shop Industry
    Authors: 何季倫
    Ho, Chi-Lun
    Contributors: 鄭宇庭
    Zheng, Yu-Ting
    何季倫
    Ho, Chi-Lun
    Keywords: 網路口碑
    口碑行銷
    社群輿情
    餐飲業
    咖啡廳產業
    Date: 2018
    Issue Date: 2018-07-03 17:38:17 (UTC+8)
    Abstract: 過去消費者主要是透過電視廣告及傳統媒體管道得到品牌資訊並進而產生消費的行為,近年由於網路及相關科技蓬勃發展,扎實地影響到消費者購買決策流程,相較於過去被動式的接受資訊,大多是主動在網路探索相關的資料並進而與其他網路民眾討論產生輿論效果,因此現代餐飲業在塑造經營品牌不能僅僅在線下操作,觀察並分析網路上的各種聲音也是相當重要。
    本研究透過硬是愛數據開發的eyesocial平台做輿情分析,對象為近年年輕人創業相當喜愛的咖啡廳,其中挑選路易莎作為實際例子探討,利用eyesocial以網路聲量、關注度、發文量、發文人數及互動度為評估指標。
    透過網路口碑的評估指標探討路易莎在固定時段內的表現成績,並找出網友高參與度貼文做深度分析,本研究透過自行蒐集資料將貼文做分類,以了解在不同貼文類型中的文章對於網友參與度的關聯性。
    最後本研究會在輿情分析資料蒐集完後,針對其他資料歸納出結論並且給予建,建議針對未來對相關產業有興趣的同仁,同時也會針對目前已經在經營咖啡廳的相關公司給予操作建議,期望能成為未來該產業相關公司在經營操作上的決策依據,並對於該品牌在提升線上經營有很大的幫助。
    In the past, consumers mainly obtained brand and product information through TV and traditional media channels, which led to consuming behavior. In recent years, the development of the internet and related technologies has drastically affected the consumer purchasing decision process, compared to the passive acceptance of information in the past. Most of them are actively exploring relevant data on the Internet and discussing with others on the Internet to produce public opinions. Therefore, the modern catering industry can`t just operate online while building brand management. It is also very important to observe and analyze various consumers voices on the Internet.
    This thesis uses the eye-social platform developed by INSIGHTEYE Inc. to do a public opinion analysis. The target is the coffee shop that is popular start-up option among young people in recent years. Among them, LOUISA is chosen as a practical example to measure the volume, the degree of attention, the amount of text, and the time difference. The number and degree of interaction are the assessment indicators.
    Through the evaluation index of online word-of-mouth assessment, LOUISA’s performance in a fixed period of time was explored, and users’ high-intensity postings were identified for in-depth analysis. This thesis collected information to classify the posts to understand different types of posts.
    At the end of this study, after the public opinion analysis data has been collected, conclusions are drawn up for other materials and given advice. I will give recommences for colleagues who are interested in the relevant industries in the future and suggestions for the relevant companies that currently operate coffee shops. The expectation can become the decision-making basis for future operation of the relevant company in the industry, and it can greatly help the brand in the promotion of online operations.
    Reference: 一、 中文文獻
    1. 三采文化編著(2002),山海戀咖啡,台北:三采文化。
    2. 大前研一著(1985),黃宏義譯,策略家的智慧,台北:長河。
    3. 中華民國連鎖店協會(2000),2000台灣加盟總部指南,台北:中華民國連鎖店協會。
    4. 王秀瑩(2000),「咖啡連鎖店市場區隔及其消費行為之研究」,國立東華大學企業管理研究所碩士論文。
    5. 王家英(2000),「連鎖店去年成長27%」,經濟日報,2000年3月14日,第一版。
    6. 王琰玉(2003),「咖啡連鎖店,加盟連鎖總部連鎖力之調查」,大葉大學事業經營研究所碩士論文。
    7. 台灣連鎖暨加盟協會(2002),「咖啡產業動態分析」,2001年連鎖店年鑑,台北:台灣連鎖暨加盟協會。
    8. 台灣連鎖暨加盟協會(2002),2001 台灣加盟總部指南,台北:台灣連鎖暨加盟協會。
    9. 司徒達賢(1997),策略管理,台北:遠流。
    10. 生活便利雜誌(2001),「主題企劃:黑色誘惑」,生活便利雜誌,第42期,pp. 14-55。
    11. 朱斌妤、黃東益、洪永泰、曾憲立、李仲彬(2015),數位國家治理(2):國情追蹤與方法整合(編號:NDC-MIS-103-001)。台北市:國家發展委員會。
    12. 何亞蘋(2001),「連鎖經營體系管理控制與協調機制之研究-以咖啡連鎖店為例」,中國文化大學國際企業管理研究所碩士論文。
    13. 余幸芳(2000),「連鎖咖啡店88年12月份店數統計」,流通快訊雜誌,第289期,pp. 25-28。
    14. 吳思華(1996),策略九說,台北:麥田。
    15. 吳雯雯(2000),「加盟連鎖業高價咖啡店今年最具潛力」,聯合報,2000年2月4日,第24版。
    16. 呂建億(2015),民眾對政府輿情分析方法之信任研究-民意調查與網路輿情分 析的比較。國立政治大學公共行政研究所,未出版,台北市。
    17. 李文富(1999),「外食咖啡:九九年連鎖咖啡店佈陣調查」,流通快訊雜誌,第277期,pp. 27-39。
    18. 李永隆(1985),「台北市民咖啡與茶消費行為之研究」,國立政治大學企業管理研究所碩士論文。
    19. 李孟熹(1995),連鎖店開業、加盟實戰技術,台北:群泰企管顧問公司。
    20. 李孟熹(1999),新商店、連鎖店致勝戰略,台北:著者發行。
    21. 李幸模(1995),連鎖加盟店Q&A,台北:商周。
    22. 李幸模(2002),連鎖加盟店Q&A,第二版,台北:商周。
    23. 周文賢(1999),行銷管理-市場分析與策略預測,台北:智勝文化。
    24. 周文賢與吳金潮(1996),碩士論文撰寫方法,台北:華泰。
    25. 周文賢與郭柏晴(1996),連鎖體系規劃與管理,台北:華泰。
    26. 林正修(1996),連鎖店的經營致富寶典,台北:漢湘文化。
    27. 林吟春(2000),「咖啡連鎖店消費者行為之研究-以台北市咖啡連鎖店為例」,輔仁大學應用統計學研究所碩士論文。
    28. 林育正(2002),「連鎖加盟業成功關鍵因素分析-以連鎖書店為例」,大業大學事業經營研究所碩士論文。
    29. 林育正與楊海銓(2003),開家賺錢的咖啡館,台北:邦聯文化。
    30. 陳順吉(2008),〈網路購物者對推薦機制的需求大增〉。
    31. 廖佩怡(2006),《實體與網路的口碑之比較:資訊特性觀點之探索性研究》。國立臺北科技大學工業工程與管理研究所碩士論文。
    32. 黎榮章(2008),部落格行銷企業不容忽視,廣告雜誌。
    33. 蕭乃沂、陳敦源、廖洲棚、楊立偉、呂俊宏(2014),政府應用巨量資料精進公共服務與政策分析之可行性研究(編號:NDC-MIS-103-003)。台北市:國家發展委員會。
    34. 蕭乃沂、黃東益(2015),104年度網路輿情蒐集、分析及運用計畫結案報告。教育部青年發展署。未出版
    35. 戴秋君(2008),《口碑行銷研究與應用-以男性保養品為例》。國立中山大學高階經營碩士班碩士論文。
    36. 謝邦昌、鄭宇庭、謝邦彥、硬是愛數據(2017)《玩轉社群,文字大數據合作》。















    二、英文文獻
    1. Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(1), 291-295.
    2. Bickart, B. & Robert, M. S. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40.
    3. Blackwell, R. D., Miniard, P. W. & Engle, J. F. (2001). Consumer behavior(9th ed.).
    4. Bone, P. F. (1995). Word-of-mouth effects on short-term and long-term product judgments. Journal of Business Research, 32, 213-223.
    5. Bristor, J. M. (1990). Enhanced explanations of word-of mouth communications: The power of relationships. Research in Consumer Behavior, 4, 51-83.
    6. Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing.
    7. Gelb, B. D. & Sundaram, S. (2002). Adapting to word of mouse. Business Horizons, 45(4), 21-25.
    8. Gittell, J. H. (2002). Relationship between service providers and their impact on customers. Journal of Service Research, 4(4), 299-311.
    9. Goldsmith, Ronald E. & David Horowitz. (2006). Measuring motivations for online opinion seeking. Journal of interactive Advertising, 6(2), 1-16.
    10. Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60-75.
    11. Hoffman, D. L. & Thomas, P. N. (1996). Marketing in hypermedia computer-mediate environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.
    12. Katz, E. & Lazarsfeld, P. F. (1956). Personal influence: The part played by people in the flow of mass communication. New York: The Free Press.
    13. Kim, A. J. (2000). Community building on the web: Secret strategies for successful online communities. London: Addison Wesley.
    14. Lau, G. T. & Ng, S. (2001). Individual and situational factors influencing negative word-of-mouth behaviour. Canadian Journal of Administrative Sciences, 18(Sep), 163-178.
    15. Porter, M. E. (1985), Competitive Advantage-Creating and Sustaining Superior Performance, N.Y.: The Free Press.
    16. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: The Free Press.
    17. Rogers, E. M. (1983). Diffusion of Innovations (3rd ed.). New York: The Free Press.
    18. Rosengren, K. E., Palmgreen, P. & Wenner, L. A. (1985). Media gratification.
    19. Silverman, G. (1997). How to harness the awesome power of word of mouth. Direct Marketing, 60(7), 32-37.
    20. Sullivan, D. (2001), ‘Document Warehousing and Text Mining’, Wiley.
    21. Sundaram, D. S., Mitra, K. & Webster, C. (1998). Word-of-mouth communications : A motivational analysis. Advances in Consumer Research, 25, 527-531.
    22. Tanimoto, J. & Fujii, H. (2003). A study on diffusion characteristics of information on a human network analyzed by a multi-agent simulator. The Social Science Journal, 40, 479-85.
    23. Westbrook, R. A. (1987). Product/Consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24, 258-270.
    24. Willams, T. G. & Slama, M. E. (1995). Market mavens’ purchase decision evaluative criteria: Implications for brand and store promotion efforts. Journal of Consumer Marketing, 12(3), 4-21.
























    三、網站文獻
    1. Adm廣告雜誌|Digital x Creative:http://adaround.blogspot.tw/2018/03/ctci.html
    2. Nielsen(2009)。〈尼爾森研究:口碑行銷極具廣告說服力〉,《Nielsen》,http://www.acnielsen.com.tw/site/news20090716.shtml
    3. Mendeleyhttps://www.slideshare.net/UKSG/uksg-webinar-introduction-to-textmining-research-papers-with-petr-knoth-and-phil-gooch-both-mendeley-ltd
    4. Orrin Woodward on LIFE & Leadership http://orrinwoodwardblog.com/2015/10/19/word-of-mouth-marketing/
    5. 又新精準社群行銷網站http://www.renu.com.tw/social-media-marketing.html
    6. 創市際市場研究顧問http://www.ixresearch.com/
    7. 經濟部統計處http://dmz9.moea.gov.tw/gmweb/investigate/InvestigateEA.aspx
    8. 營利事業家數及銷售額http://web02.mof.gov.tw/njswww/WebProxy.aspx?sys=210&kind=21&type=1&funid=i0507&rdm=ffffffff
    Description: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    105363006
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105363006
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.MBA.010.2018.F08
    Appears in Collections:[MBA Program] Theses

    Files in This Item:

    File SizeFormat
    300601.pdf1565KbAdobe PDF215View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback