Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/49587
DC FieldValueLanguage
dc.contributor.advisor洪叔民zh_TW
dc.contributor.author王昱富zh_TW
dc.contributor.authorWang, Yu Fuen_US
dc.creator王昱富zh_TW
dc.creatorWang, Yu Fuen_US
dc.date2009en_US
dc.date.accessioned2010-12-08T06:35:57Z-
dc.date.available2010-12-08T06:35:57Z-
dc.date.issued2010-12-08T06:35:57Z-
dc.identifierG0096380025en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/49587-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description管理碩士學程(AMBA)zh_TW
dc.description96380025zh_TW
dc.description98zh_TW
dc.description.abstract自2000年網路泡沫之後,網路發展雖有趨緩之勢,卻仍持續累積能量,直至Web2.0概念出現,讓網路再度風起雲湧。Web2.0強調人與人之間的互動以及分享內容,並成功匯聚了人氣,但如何將人氣轉換成獲利卻是經營者必須面對的挑戰。\n本研究之目的在發掘Web2.0網站的可能獲利模式,並找出不同獲利模式的關鍵成功因素。依據文獻探討,其獲利模式主要有三類:一、廣告獲利,二、訂閱收費,三、交易收費。本研究根據Web2.0定義:強調人際互動與內容分享,以「互動強度」與「內容來源」兩要素來將Web2.0網站分成四個象限之「網站分類IC矩陣」。象限一代表互動密切及內容原創,對應的例子為社群網站(SNS),象限三強調內容加值,對應的例子為資訊分享網站(Information Sharing),而社群與資訊分享正為最常見之兩類Web2.0網站。\n本研究透過質性訪談的方法,分析不同象限之網站之對應獲利模式與其關鍵成功因素。再輔以問卷統計之方式,分析影響使用者接受/拒絕訂閱收費的關鍵因素以及接受/拒絕交易收費的關鍵因素。\n研究結果得知愈靠近象限一之網站,如社群網站,愈適合向使用者收費作為獲利模式。愈靠近象限三之網站,如資訊分享網站,愈適合以廣告收費做為獲利模式。向使用者收費的方式包含訂閱收費與交易收費,若網站計畫進行訂閱收費,網站經營者必須檢驗自身網站服務的三個構面:這三個構面依重要性排列依序為「需求滿足、重要內容與差異化」、「資訊搜尋與服務品質」與「互動與安全機制」,其中最重要之區別因素為「差異化」。若網站欲以交易收費為主要獲利模式,則「重要內容」是影響使用者願意付費最重要的區別因素。zh_TW
dc.description.abstractThe bursting of dot-com bubble in 2001 slows down the speedy trend of web. Until the emergence of Web 2.0, the internet rolls on again. The concept of Web 2.0 emphasizes on interaction among users and content sharing . It is a great challenge for Web 2.0 operator to convert the traffic to the profit.\nThe main purpose of the study is to discover the suitable revenue model for Web 2.0, and its key successful factors. There are three revenue models, (1) Advertising model (2) Subscription model (3) Transaction model. The study categorizes web environment into four quadrants by “Interaction intensity” and “Content source”, according to the Web 2.0 definition of user interaction and content sharing. The matrix is named as “IC Matrix” (“I” indicates interaction and “C” indicates content). Quadrant I indicates that the users interact each other closely and the content is created by user directly and creatively in the website. The corresponding example is Social Networking Service (SNS) website. Quadrant III indicates the site with value-added content. The corresponding example is Information Sharing (IS) website. \nThe study interview the actual websites to investigate the revenue model for different quadrant and its key factors, and a survey was to conduct to examine the impact of several factors on consumers’ willingness to pay for subscription–based service and transaction-based one.\nThe revenue model of the website can be decided by the location of IC Matrix, the more close to the quadrant I , such as SNS, the more suitable to the user fees as a revenue model, the more close to the quadrant III, such as IS, the more suitable to advertising fee as a revenue model. There are two kinds of user fees. One is subscription-base and the other is transaction-based. The most important factor of subscription-based fee is “differentiation” and the most important factor of transaction-based fee is “Essentiality”. Managerial implications based on our findings are discussed.en_US
dc.description.tableofcontents中文摘要 I\n英文摘要 II\n誌 謝 III\n圖表索引 3\n第一章 緒論 4\n第一節 研究背景 4\n第二節 研究動機 5\n第三節 研究目的 5\n第四節 研究流程 6\n第二章 文獻探討 7\n第一節 網際網路發展概述 7\n第二節 Web 2.0之前世今生 9\n第三節 價值創造 12\n第四節 網路獲利模式探討 20\n第五節 影響網路付費意願之因素 25\n第三章 研究架構與研究方法 28\n第一節 訪談調查 28\n第二節 問卷調查 31\n第四章 訪談資料分析 34\n第一節 訪談「地圖日記」 34\n第二節 訪談「推推王」 37\n第三節 小結 39\n第五章 問卷資料分析 41\n第一節 樣本描述性統計(N=206) 41\n第二節 信度分析 44\n第三節 區別分析 45\n第四節 因素分析 48\n第五節 Logistic迴歸分析 50\n第六節 小結 53\n第六章 結論與建議 55\n第一節 結論 55\n第二節 建議 57\n參考文獻 59zh_TW
dc.format.extent1573746 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0096380025en_US
dc.subject網站獲利zh_TW
dc.subjectWeb 2.0 Revenueen_US
dc.titleWeb 2.0 獲利模式之研究zh_TW
dc.titleA study of the revenue model for web 2.0en_US
dc.typethesisen
dc.relation.reference江芳儀,「網站內容由使用者提供的Web2.0網站之價值共創與創新事業模式研究」,國立政治大學企管系碩士論文 (民國九十六年)。zh_TW
dc.relation.reference林伯峰,「Web 2.0 之創新應用服務與經營模式之研究」,國立中山大學企管系碩士論文 (民國九十六年)。zh_TW
dc.relation.reference黃宣龍、蘇偉仁、洪鑫泓,「Web 2.0趨勢下之經營模式與成功關鍵研究」,2006台灣商管與資訊研討會(民國九十五年)。zh_TW
dc.relation.reference黄绍麟,「 Web 2.0 下一步(一)情感經濟的黎明」 ,數位之牆,http://china.digitalwall.com/scripts/display.asp?UID=388,2008/12/12閱讀 (民國九十六年)。zh_TW
dc.relation.reference資策會 Market Intelligence Center(MIC),「Web 2.0 發展現況與趨勢」,產業研究報告 12月份 (民國九十六年)。zh_TW
dc.relation.reference資策會創新應用服務研究所,新世代網路創新服務發展個案集,pp.4-24 (民國九十七年)。zh_TW
dc.relation.reference歐貞延、施榮龍、沈昱全、曾子豪, 「網際網路歷史的教訓(選自Manuel Castells的The Ineternet Galaxy第一章)」網路社會學通訊期刊第30期 (民國九十二年)。zh_TW
dc.relation.referenceAderson, Chris, ”The long tail: Why the future of business is selling less of more,” Hyperion, New York (2006).zh_TW
dc.relation.referenceAmit, Raphael and Christoph Zott, “Value creation in e-business,” Strategic Management Journal, Vol.22, pp.493-520 (2001).zh_TW
dc.relation.referenceArmstrong, A. and J. Hagel, “The real value of online communities,” Harvard Business Review, Vo.l74, pp.134–141 (1996).zh_TW
dc.relation.referenceDonston, Debra, “WEB2.0,” eWEEk MAY 19, 2008, pp.39-45 (2008).zh_TW
dc.relation.referenceElberse, Anita, “Should you invest in the long tail?” Harvard Business Review July–August 2008, pp.88–96 (2008).zh_TW
dc.relation.referenceEnders, Albrecht, Hardld, Hans-Peter Denker and Sebastian Mauch,“The long tail of social networking. Revenue models of social networking sites,” European Management Journal, Vol.26, pp.207(2008).zh_TW
dc.relation.referenceHagel III, John and Arthur G. Armstrong, “Net gain expanding marketing through virtual communities,” The McKinsey 1997 Number1,pp.141-153 (1997).zh_TW
dc.relation.referenceKeeney, R.L., “The value of internet commerce to the customer,” Management Science, Vol.45, pp.533-542 (1999).zh_TW
dc.relation.referenceLiao, Z. and M.T. Cheung, “Internet-based e-shopping and consumer attitudes: An empirical study,” Informa-tion and Management, Vol. 38, pp.299–306 (2001).zh_TW
dc.relation.referenceMcPhee, William N, “Formal theories of mass behavior,” Free Press of Glencoe, New York (1963).zh_TW
dc.relation.referenceO’Reilly, Tim, “What is web 2.0,” http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html , Access on 2008/12/12 (2005)zh_TW
dc.relation.referenceWang, Cheng Lu, LiRichard Ye, Yue Zhang and Dat-Dao, ”Subscribe to fee-based web service: What makes consumer pay for online content?” Journal of Electronic Commerce Research, Vol.6, No.4, pp.304-311 (2005).zh_TW
dc.relation.referenceWikipedia, “Mosaic(Web Browser),” http://en.wikipedia.org/wiki/NCSA_Mosaic, Access on 2008/12/12.zh_TW
dc.relation.referenceWilliamson OE, “Market and hierachies, analysis and antitrust implications: A study in the economics of in-ternal organization,” Free Press, New York (1979).zh_TW
dc.relation.referenceWilliamson OE, “Organizational innovation: the transaction cost approach in entrepreneurship,” Ronen J(ed).Lexington Books, Lexington, MA, pp.101-133 (1983).zh_TW
dc.relation.referenceZeng, Ming and Werner Reinartz, “Beyond online search: The road to profitability,” Harvard Business Publish-ing, 9-CMR-251 (2003)zh_TW
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