簡易檢索 / 詳目顯示

研究生: 張壹琇
I-Hsiu Chang
論文名稱: 網路品牌定位程序
Online Brand Positioning Program
指導教授: 林孟彥
Meng-Yen Lin
葉穎蓉
Ying-Jung Yeh
口試委員: 謝亦泰
YI-Tai Seih
張譯尹
Yi-Yin Chang
林孟彥
Meng-Yen Lin
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: 28
中文關鍵詞: 品牌定位知覺圖用戶生成內容文字探勘
外文關鍵詞: brand positioning, perceptual map, user generated content, text mining
相關次數: 點閱:332下載:3
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
  • 本研究重新檢視過去學者對於品牌定位策略的步驟,並且結合文字探勘領域中實現資料轉化為知識的步驟,發展出本研究之品牌定位程序,同時提供企業一利於定期監控其品牌定位的方法,相較於被動要求顧客提供對品牌的意見,社群中的用戶生成內容提供了更加及時的解決方案。對行銷人員而言,比起顧客被動地被要求提供意見,網路社群無非提供了解消費者的一個重要管道,能夠取得消費者主動參與且產生與品牌相關的用戶生成內容。
    透過Python與詞向量訓練模型的應用,萃取文本資料中重要的品牌字與特徵字,並計算其語意上的關聯度,挖掘以消費者角度的品牌定位,解決過去企業對自身品牌定位與消費者感知不一致的問題。此外,將網路品牌定位程序化,可以幫助企業定期檢視以監控品牌定位有助於企業及時修正定位,面對持續變動且不可控制的競爭市場。最後,消費者觀點出發的品牌知覺圖,有助於了解品牌競爭優勢、市場中的競爭結構,甚至開拓可能之藍海市場。並藉M品牌的實例,深入探討品牌知覺圖的應用,也為管理意涵上增添了新意。


    This study re-examined the steps of scholars' brand positioning strategies in the past, and combined the steps of realizing data conversion into knowledge in the field of text exploration, developed the brand positioning procedure of this research, and provided a method for enterprises to monitor their brand positioning regularly. User-generated content in the community provided a more timely solution than passively asking customers to provide feedback on the brand. For marketers, the online community is more than an important conduit for understanding consumers than passively being asked to provide input, enabling consumers to actively participate and generate brand-related user-generated content.
    Through the application of Python and word vector training model, extracted the important brand words and feature words in the text data, calculated the semantic relevance, explored the brand positioning from the consumer perspective, and solved the past enterprises' own brand positioning and consumers’ perceive inconsistencies. In addition, the programmatic positioning of online brand positioning can help companies to regularly monitor and monitor brand positioning to help companies correct their positioning in a timely manner and face a constantly changing and uncontrollable competitive market. Finally, the brand perception map from the consumer perspective helps to understand the brand's competitive advantage, the competitive structure in the market, and even open up the possible blue ocean market. And through the case of the M brand, in-depth discussion of the application of brand perception map, but also added new ideas for management implications.

    目錄 摘要 I ABSTRACT II 目錄 III 表目錄 IV 圖目錄 IV 第一章 緒論 1 第二章 文獻回顧 2 第一節 品牌定位 2 第二節 社群時代下的UGC 3 第三章 研究方法 4 第一節 以M品牌為例 4 第二節 研究流程與品牌定位程序發展 4 第三節 品牌定位程序步驟 6 Step 1. 創建目標資料集 6 Step 2. 確認競爭品牌 6 Step 3. 確立消費者感知特徵字詞表 7 Step 4. 競爭品牌定位:關聯度分析 8 Step 5. 選擇目標客群在意屬性之品牌知覺圖 8 Step 6. 分析品牌知覺圖 9 Step 7. 定期監控定位 9 第四章 研究結果 10 第一節 M品牌之市場定位 10 第二節 品牌定位程序 11 第五章 討論 14 第一節 M品牌之市場定位討論 14 第二節 品牌定位程序與管理意涵 15 第六章 結論與建議 15 第一節 研究結論 15 第二節 貢獻 16 第三節 研究限制與建議 16 參考文獻 17 附錄一 8品牌與14特徵之餘弦相似度 21 附錄二 Skip-gram model 程式碼 22 附錄三 繪製品牌知覺圖程式碼 23

    參考文獻
    Aaker, D. A. (1991), “Managing Brand Equity,” The Free Press, New York, NY
    Aaker, David A., & J. Gary Shansby (1982), “Positioning your Product,” Business Horizons,” 25 (3), 56-62.
    Aggarwal, P., R. Vaidyanathan, & A. Venkatesh (2009), “Using Lexical Semantic Analysis to Derive Online Brand Positions: An Application to Retail Marketing Research, ” Journal of Retailing, 85 (2), 145-158.
    Archak, N., A. Ghose, & P. G. Ipeirotis (2011), “Deriving the Pricing Power of Product Features by Mining Consumer Reviews,” Management Science, 57 (8), 1485-1509.
    Bhat, S. & S.K. Reddy (1998), “Symbolic and Functional Positioning of Brands”, Journal of Consumer Marketing, 15 (1), 32-43.
    Blankson, C., M.F. Nkrumah, G. Opare, & S. Ketron (2018) “Positioning Strategies and Congruence in the Positioning of High-end Indigenous and Foreign Retailers in Sub-Saharan Africa: An Illustration from Ghana, ” Thunderbird International Business Review, 60 (4), 535-548.
    Burmann , C . & Arnhold , U. ( 2009 ), User Generated Branding: State of the Art of Research. Münster : Lit Verlag.
    Burmann, C. (2010), “A Call for User-Generated Branding,” Journal of Brand Management, 18, 1-4.
    Caroll, J.D. & P.E. Green (1997), “Psychometric Methods in Marketing Research: part II. Multidimensional Scaling,” Journal of Marketing Research, 34, 193‐204.
    Chen, K., G. Kou, J. Shang, & Y. Chen (2015), “Visualizing Market Structure through Online Product Reviews: Integrate Topic Modeling, TOPSIS, and Multi-dimensional Scaling Approaches,” Electronic Commerce Research and Applications, 14 (1), 58-74.
    Christodoulides, G., Colin Jevons & Jennifer Bonhomme (2012), “Memo to Marketers: Quantitative Evidence for Change: How User-Generated Content Really Affects Brands.” Journal of Marketing Research, 52 (1)
    Decker, R. & M. Trusov (2010), “Estimating Aggregate Consumer Preferences from Online Product Reviews,” International Journal of Research in Marketing, 27 (4), 293-307.
    Dhar, Vasant & Elaine A. Chang (2009), “Does Chatter Matter? The Impact of User-Generated Content on Music Sales.” Journal of Interactive Marketing, 23 (4), 300-307.
    Dörre, J., P. Gerstl, & R. Seiffert (1999), “Text Mining: Finding Nuggets in Mountains of Textual Data,” paper presented at the Proc. Fifth ACM SIGKDD International Conf. on Knowledge Discovery Data Mining, ACM New York (August 15-18), 398-401.
    Duan W., B. Gu, & A. B. Whinston (2008), “The Dynamics of Online Word-of-Mouth and Product Sales—an Empirical Investigation of the Movie Industry,” Journal of Retailing, 84 (2), 233-242.
    Elrod, T., G. J. Russel et al., (2002) “Inferring Market Structure from Customer Response to Competing and Complementary Products,” Marketing Letters, 13 (3), 221-232.
    Fayyad, U. M. et al. (1996), “From data mining to knowledge discovery: an overview,” In Fayyad, U. M. et al. (Eds.), Advances in knowledge discovery and data mining. AAAI Press / The MIT Press.
    Feldman, R., & I. Dagan (1995), “Kdt - knowledge discovery in texts,” In Proc. of the First Int. Conf. on Knowledge Discovery (KDD), 112-117.
    Feldman, R., & J. Sanger (2007), The Text Mining Handbook. Cambridge University Press, New York.
    Frakes, W. B. & R. Baeza-Yates (1992), Information Retrieval: Data Structures and Algorithms. Englewood Cliffs, New Jersey Prentice Hall.
    Fuchs, C. & A. Diamantopoulos (2010), “Evaluating the effectiveness of brand positioning strategies from a consumer perspective,” European Journal of Marketing, 44, 1763-1786.
    Godes, D., & D. Mayzlin (2004), “Using Online Conversations to Study Word-of-Mouth Communication,” Marketing Science, 23 (4), 545-560.
    Gopal, R.D., B. Pathak, A. K. Tripathi, & F. Yin (2006), “From Fatwallet to eBay: an Investigation of Online Deal-Forums and Sales Promotions,” Journal of Retailing , 82 (2), 155-164.
    Griffin, A. & John R. Hauser (1993), “The Voice of the Customer,” Marketing Science,12,1-27.
    Gwin, Carol F. & Carl R. Gwin (2003), “Product Attributes Model: A Tool for Evaluating Brand Positioning,” Journal of Marketing Theory and Practice, 11 (2), 30-42.
    Hauser, J. R., & F. S. Koppleman (1979) “Alternative Perceptual Mapping Techniques: Relative Accuracy and Usefulness,” Journal of Marketing Research, 16, 495-506.
    Hudson S., L. Huang, M.S. Roth, & T. J. Madden (2015) “The Influence of Social Media Interactions on Consumer-Brand Relationships: a Three-Country Study of Brand Perceptions and Marketing Behaviors,” Int. J. Res. Mark., in press
    Iacobucci, D., & D. Grisaffe (2018), “Perceptual Maps via Enhanced Correspondence Analysis: Representing Confidence Regions to Clarify Brand Positions,” Journal of Marketing Analytics, 6 (3), 72-83.
    Jobber, D. (2001), Principles and practice of marketing. London: McGraw-Hill.
    Kalra, A. & R.C. Goodstein (1998), “The Impact of Advertising Positioning Strategies on Consumer Price Sensitivity,” Journal of Marketing Research, 35 (2), 210-224.
    Kaplan, Andreas M. & Haenlein M. (2010),“Users of the World, Unite! The Challenges and Opportunities of Social Media,”Business Horizons, 52 (1), 59-68.
    Keller, K. L. & Donald R. Lehmann (2006), “Brands and Branding: Research Findings and Future Priorities,” Marketing Science, 25, 740-759.
    Keller, K. L. (1999), “Managing brands for the long run: Brand reinforcement and revitalization strategies,” California Management Review, 41 (3), 102-124.
    Keller, K. L. (2003), “Strategic Brand Management: Building, Measuring and Managing Brand Equity,” Prentice Hall, Upper Saddle River, NJ
    Keller, K.L., T. Apéria, & M. Georgson (2011), “Strategic Brand Management - A European Perspective,” Pearson Education Limited.
    King, R. A., P. Racherla, & V. D. Bush (2014) “What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature,” Journal of Interactive Marketing, 28 (3), 167-183.
    Kleissner, C. (1998), “Data mining for the enterprise,” 31st annual international conference on system science, IEEE computer society ,7 ,295-304.
    Kohli, C. S. & L. Leuthesser (1993), “Product Positioning: A Comparison of Perceptual Mapping Techniques,” Journal of Product and Brand Management, 2 (4) 10-19.
    Kotler, P., & K. Keller (2006), “Marketing Management,” Prentice-Hall, Englewood Cliffs, NJ.
    Laroche, M., Z. Yang, G. H. G. McDougall, & J. Bergeron (2005), “Internet versus Bricks- and-Mortar Retailer: an Investigation into Intangibility and its Consequences,” Journal of Retailing, 81 (4), 251-267.
    Lilien, G. L. & A. Rangaswamy (2002), “Marketing Engineering: Computer-Assisted Marketing Analysis & Planning,” Upper Saddle River, NJ: Prentice Hall, Inc.
    Marrese -Taylor, Edison, Juan D. Velásquez, Felipe Bravo-Marquez, & Yutaka Matsuo (2013) “Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach,” Procedia Computer Science, 22, 182-191.
    Mikolov, T., K. Chen, G. Corrado, & J. Dean (2013), “Efficient Estimation of Word Representations in Vector Space,” (accessed Sep 7, 2013) [ available at https://goo.gl/48tdmx]
    Netzer, O., R. Feldman, J. Goldenberg, & M. Fresko, (2012) “Mine Your Own Business: Market-Structure Surveillance Through Text Mining,” Marketing Science, 31 (3), 521-543.
    Pham, P.H.M. & B.S. Gammoh (2015), “Characteristics of Social-Media Marketing Strategy and Customer-Based Brand Equity Outcomes: A Conceptual Model,” International Journal of Internet Marketing and Advertising, 9 (4)
    Salton, G., & M. J. McGill (1983), “Introduction to modern retrieval,” New York: McGraw-Hill Book Company.
    Shao, K. H. (2012), “The Effects of Controversial Reviews on Product Sales Performance: the Mediating Role of the Volume of Word of Mouth,” International Journal of Marketing Studies, 4 (4), 32-38.
    Shocker, A. D. & V. Srinivasan (1979), “Multiattribute Approaches for Product Concept Evaluation and Generation: A Critical Review,” Journal of Marketing Research, 16 (2), 159-80.

    Shocker, A.D., R. K. Srivastava, & R. W. Ruekert (1994), “Challenges and Opportunities Facing Brand Management: An Introduction to the Special Issue,” Journal of Marketing Research, 31 (2), 149-158.
    Tirunillai, S., & G.J. Tellis (2012) “Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance,” Marketing Science, 31 (2), 198-215.
    Trout, J. & A. Ries (1981), “Positioning, The battle for your mind,” Warner Books- McGraw-Hill Inc., New York.
    Trout, J. (1969), “Positioning is a game people play in today’s me-too market place,” Industrial Marketing, 54 (6), 51-55.
    Tseng, Yuen-Hsien, Chi-Jen Lin, & Yu-I Lin (2007), “Text Mining Techniques for Patent Analysis,” Information Processing and Management, 43,1216-1247.
    Urban, G.L., & J.R. Hauser (2004) “Listening In to Find and Explore New Combinations of Customer Needs,” Journal of Marketing, 68, 72-87.
    Wunsch-Vincent, S. & Vickery, G. (2007) Participative Web and User-created Content: Web 2.0, Wikis and Social Networking. Paris, France: OECD Directorate for Science, Technology and Industry Report.

    QR CODE