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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 商學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24862
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dc.contributor.advisor黃俊堯
dc.contributor.authorMao-Sen Hungen
dc.contributor.author洪茂森zh_TW
dc.date.accessioned2021-06-08T05:57:27Z-
dc.date.copyright2008-01-02
dc.date.issued2007
dc.date.submitted2007-10-29
dc.identifier.citationBelch & Belch (2004), “Advertising and Promotion,” McGraw Hill, 6TH Edition, 496–498.
Bhat, Subodh, Michael Bevans and Sanjit Sengupta (2002), “Measuring Users’ Web Activity to Evaluate and Enhance Advertising Effectiveness,” Journal of Advertising, 31(Fall), 97–106.
Bloom, Jonah (2005), “Creative, Marketers Ignore Power of Search at Their Peril,” Advertising Age, 76(30), 24.
Briggs, Rex and Nigel Hollos (1997), “Advertising on the Web: Is there Response before Click-Through? ,” Journal of Advertising Research, 37(Mar/Apr), 33–45.
Broussard, Gerard (2000), “How Advertising Frequency Can Work to Build Online Advertising Effectiveness? ,” International Journal of Marketing Research, 42(4), 439–457.
Burns, Kelli S. and Richard Lutz (2006), “The Function Of Format- Consumer Responses to Six On-line Advertising Formats,” Journal of Advertising, 35(Spring), 53–63.
Cho, Chang-Hoan (2003), “The Effectiveness of Banner Advertisements : Involvement and Click-Through,” Journalism and Mass Communication Quarterly, 80 (Autumn), 623–640.
Cho, Chang-Hoan and Hongsik John Cheon (2004), “Why Do People Avoid Advertising on The Internet,” Journal of Advertising, 33(Winter), 89–97.
Dou, Wenyu, Randy Linn and Sixian Yang (2001), “How Smart Are ‘Smart Banners’? ,” Journal of Advertising Research, 41(Aug), 31–43.
Dreze, Xavier and Francois-Xavier Hussherr (2003), “Internet Advertising: Is Anybody Watching? ,” Journal of Interactive Marketing, 17(Autumn), 2003, 8–23.
Elkin, Tobi (2003), “Marketer Target Opt-In ‘Mind-Sets’ Via Gator, WeatherBug, Others,” Advertising Age, 74(August), 34.
Faber, Ronald J., Mira Lee and Xianoli Nan (2004), “Advertising and the Consumer Information Environment Online,” American Behavioral Scientist, 48(Dec), 447–466.
Gallagher, Katherine, Jeffrey Parsons and K. Dale Foster (2001), “A Tale of Two Studies: Replicating 'Advertising Effectiveness and Content Evaluation in Print and on the Web',” Journal of Advertising Research, 41(Jul/Aug), 71–81.
Greenberg, Karl (2000), “Search Patterns: Search engine optimization firms help dot-coms get top billing on all-important search engines,” Mediaweek, 10(Sep), 72–74.
Hoffman, Donna L. and Thomas P Novak (1996), “Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations,” Journal of Marketing, 60(Jul), 50–68.
Huang, Chun-Yao, Yung-Cheng Shen, I-Ping Chiang, and Chen-Shun Lin (2007), 'Characterizing Web Users' Online Information Behavior', Journal of the American Society for Information Science and Technology, accepted.
Korgaonkar, Pradeep K. and Lori D. Wolin (1999), “A Multivariate Analysis of Web Usage,” Journal of Advertising Research, 39(Mar/Apr), 53–68.
Kruglanski, Arie W. and Erik P. Thompson (1999), “Persuasion By a Single Route: A View from The Unimodel,” Psychological Inquiry, 10(2), 83–109.
Li, Hairong and Janice L Bukovac (1999), “Cognitive Impact of Banner Ad Characteristics: An Experimental Study,” Journalism and Mass Communication Quarterly, 76(Summer), 341–353.
Moore, Robert S., Claire A. Stammerjohan and Robin A. Coulter (2005), “Banner Advertiser–Web Site Context Congruity and Color Effects on Attention and Attitudes,” Journal of Advertising, 34(Summer), 71–82.
Peterson, Robert A. and Maria C. Merino (2003), “Consumer Information Search Behavior and the Internet,” Psychology and Marketing, 20(Feb), 99–121.
Petty, R.E., J.T. Cacioppo and R. Goldman (1981), “Personal Involvement as a Determinant of Argument-Based Persuasion,” Journal of Personality and Social Psychology, 41, 847–855.
Sheehan, Kim Bartel (2002), “Of Surfing, Searching, and Newshounds: A Typology of Internet Users’ Online Sessions,” Journal of Advertising Research, 42(Sep/Oct), 62–71.
Taylor, Catharine P. (2001), “Resetting The Clock,” Advertising Age, 72(July), 24.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24862-
dc.description.abstract根據eMarketer 2007 年的調查指出,過去三年美國網路廣告市場持續以每年30%的成長率擴張,預估到2011 年時網路廣告市場將達到365 億美金。觀看台灣的網路廣告市場,發現短短四年內網路廣告已經佔所有廣告總額的5%,且網路已成為電視外第二高媒體到達率的媒介。無論對於廣告主或廣告商甚至是學界,網路廣告都是一個熱門話題。過去網路廣告學術研究問題包含廣告在不同媒體上的差異、廣告執行手法、廣告內容與一致性對於廣告效益的影響、網路廣告檔期排程和線上消費者特性探討等,但以網路消費者特性為主題的研究不是很多。
本研究將進行瀏覽與廣告點擊行為之間的關連分析,試圖瞭解三大面向的問題:一、不同廣告類型是否有顯著點擊率差異;二、不同網站平台是否對於點擊率高低有所影響;三、網路廣告高點擊群相較於低點擊群是否有任何不同的特質,並比較橫幅廣告的高點擊群和關鍵字廣告的高點擊群的特質是否有所不同。利用消費者線上瀏覽實際資料進行分析,研究發現可以分為兩個部分:橫幅廣告和關鍵字廣告。在橫幅廣告部分,發現網站平台對於廣告點擊率有顯著影響,高點擊群跟低點擊群在站內瀏覽率、平均單頁接觸廣告量與瀏覽深度上有差異,不過這樣的高低點擊行為和個人沒有相關,即並沒有一群人特別會點擊橫幅廣告,而是廣告所在平台會與高低點擊行為有關。在關鍵字廣告部分,網站平台對點擊率沒有影響,不過關鍵字廣告高低點擊群和個人特性有關。至於橫幅廣告與關鍵字廣告兩者點擊率確實有所差異,但發現與全球趨勢相反的結果,台灣橫幅廣告點擊率低於關鍵字廣告點擊率。根據以上這些發現相信可以為廣告主、廣告商和未來
學術研究提供有用的參考方向。
zh_TW
dc.description.abstractAccording to the survey of eMarketer in 2007, the online advertising market has been growing up by an annual rate of 30% during the past three years and it’s estimated that the total internet advertising market will reach the amount of US$ 36.5 billions in 2011. As for Taiwan online market, the proportion of online advertising spending is 5%. With the increasing importance of internet advertising, not only advertisers but also advertising agencies concern the using of online media, so does the academic studies.
Reviewing the previous studies, they lack the link between advertising and users’ online behavior. This study would like to answer the following questions: Does different types of online advertising affect the click-through rate? Does the different websites have significant impact on click-through rate? Is there any unique behavioral character of people with high click-through rate? Via actual record of users’ online behavior and the advertisement click-through data of banners and keyword sponsor links, it finds that the types of advertising affect the rate of ad click-through. As for banners, the websites play an important role in influencing the click-through rate. On the other side, the personal characteristics are relative to the high or low contextual advertising click-through rate. The trend of the click-through rate of banners and contextual advertisements found in this study is different from the global trend. This interesting finding may be explained by the cross-cultural differences of reading habits. With regards of these finding, this study can provide insights and directions for advertisers, advertising agencies and future academic research.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T05:57:27Z (GMT). No. of bitstreams: 1
ntu-96-R94741013-1.pdf: 1371918 bytes, checksum: 9c8b4773f69a330f0b0ee5caedeb9681 (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents誌 謝 ………………. I
中文摘要………… II
英文摘要….. III
目 錄 ………... IV
表目錄 ……….. VI
圖目錄 …………. VII
第一章 研究背景與目的 1
第二章 文獻回顧 5
2.1 網路廣告種類與目的 5
2.2 網路廣告效益衡量 8
2.3 網路使用者行為特性分析 10
2.4 目前研究不足之處 12
第三章 研究假設 14
3.1 廣告類型對廣告點擊率的影響 14
3.2 網站平台對於廣告點擊率的影響 16
3.3 網路使用者特性分析 17
3.3.1 橫幅廣告:高低點擊群的差異 17
3.3.2 關鍵字廣告:高低點擊群的差異 18
第四章 研究方法與結果 21
4.1 資料取得方式 21
4.2 資料範圍 24
4.3樣本概述 25
4.4 研究假設結果分析 25
4.4.1 研究結果:廣告類型對點擊率的影響 26
4.4.2 研究結果:網站平台對點擊率的影響 27
4.4.3 研究結果:橫幅廣告中,高低點擊群瀏覽行為特性 28
4.4.4 研究結果:關鍵字廣告中,高低點擊群瀏覽行為特性 31
第五章 討論與研究限制 37
參考文獻.... 42
附件............ 45
dc.language.isozh-TW
dc.subject網路廣告zh_TW
dc.subject橫幅廣告zh_TW
dc.subject關鍵字廣告zh_TW
dc.subject點擊率zh_TW
dc.subject網路瀏覽行為zh_TW
dc.subjectonline behavioren
dc.subjectclick-throughen
dc.subjectonline advertisingen
dc.subjectbannersen
dc.subjectkeyworden
dc.title使用者線上瀏覽與廣告點擊行為之實證研究zh_TW
dc.titleAn Empirical Study of Web Users' Online Behavior and Advertising Click-throughen
dc.typeThesis
dc.date.schoolyear96-1
dc.description.degree碩士
dc.contributor.oralexamcommittee陳忠仁,林博文
dc.subject.keyword網路廣告,橫幅廣告,關鍵字廣告,點擊率,網路瀏覽行為,zh_TW
dc.subject.keywordonline advertising,banners,keyword,online behavior,click-through,en
dc.relation.page44
dc.rights.note未授權
dc.date.accepted2007-10-30
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept商學研究所zh_TW
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