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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 曹承礎 | |
dc.contributor.author | Cheng-Hsun Tai | en |
dc.contributor.author | 戴成勳 | zh_TW |
dc.date.accessioned | 2021-06-16T02:30:28Z | - |
dc.date.available | 2020-07-31 | |
dc.date.copyright | 2015-07-31 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-07-30 | |
dc.identifier.citation | Awareness. (2012). Social Commerce Lessons: The 6 Social Principles that Increase Sales. from http://www.scratchmm.com/wp-content/uploads/2014/09/Social-Commerce_original.pdf
Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of consumer research, 183-194. Beuker, I. (2012). Social Commerce Profit Or Perish? , from http://www.viralblog.com/social-commerce/infographic-social-commerce-profit-or-perish/ Company, T. N. (2009). Personal recommendations and consumer opinions posted online are the most trusted forms of advertising globally. from http://www.nielsen.com/content/dam/corporate/us/en/newswire/uploads/2009/07/pr_global-study_07709.pdf Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. Davis Jr, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology. Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The journal of abnormal and social psychology, 51(3), 629. Digitimes. (2013). 重新定義商業模式的企業社群力. from http://www.digitimes.com.tw/tw/cloud/shwnws.asp?CnlID=16&packageid=7725&id=0000349249_BDE14BLB5TYLN48ECHHY2&cat=50&ct=1 Fodness, D., & Murray, B. (1999). A model of tourist information search behavior. Journal of travel research, 37(3), 220-230. Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332. Kotler, P. (1994). Marketing management, analysis, planning, implementation, and control, Philip Kotler. Latané, B. (1996). Dynamic social impact: The creation of culture by communication. Journal of Communication, 46, 13-25. Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011). What drives social commerce: the role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69-90. Lin, C.-Y., Wu, L., Wen, Z., Tong, H., Griffiths-Fisher, V., Shi, L., & Lubensky, D. (2012). Social network analysis in enterprise. Proceedings of the IEEE, 100(9), 2759-2776. Linda, S.-l. L. (2010). Social Commerce–E-Commerce in Social Media Context. World Academy of Science. Engineering and Technology, 72, 39-44. Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230. Nemeth, C. J. (1986). Differential contributions of majority and minority influence. Psychological review, 93(1), 23. OTXResearch. (2008). Engaging Consumers Online-the Impact of Social Media on Purchasing Behavior. from https://themarketingguy.files.wordpress.com/2008/12/dei-study-engaging-consumers-online-summary.pdf Rashotte, L. (2007). Social influence. The blackwell encyclopedia of social psychology, 9, 562-563. Simon, H. A. (1955). A behavioral model of rational choice. The quarterly journal of economics, 99-118. Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of marketing research, 47(2), 215-228. Tedeschi, B. (2006). Like Shopping? Social Networking? Try Social Shopping. from http://www.nytimes.com/2006/09/11/technology/11ecom.html?_r=0 TWNIC. (2014). 2014年台灣寬頻網路使用調查報告. from http://www.twnic.net.tw/download/200307/20140820e.pdf Willemijn Steegenga, & Forge, S. (2011). Ibm study finds social networks influence more than half of shoppers' decision-making - even in the store. from http://www-03.ibm.com/press/uk/en/pressrelease/35340.wss#release 創市際. (2013). 創市際月刊報告書. from http://news.ixresearch.com/?p=7311 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53818 | - |
dc.description.abstract | 經過社群網路爆炸性的成長,以社群為基礎的應用服務逐漸興起。電子商務發展越趨成熟,結合了社群,創造出新型態的電子商務,稱之為社群商務。許多研究報告顯示,消費者在進行購買決策時,會詢問朋友的意見與建議,視為最終選擇購買商品的參考依據。雖然目前社群網站提供很好的意見交流平台,然而在進行商品詢問的互動過程並不是那麼的便利,本研究之目的是希望能在消費者購買決策流程中的衡量選項階段,建立一個社群投票機制,透過自建商品投票頁面將商品資訊呈獻給社群朋友,提供消費者在社群上進行詢問朋友商品選擇意見時,能夠有更有效、更便利與更具有互動性的體驗。
本研究將透過以Facebook為基礎所設計的社群投票機制,探討此機制是否對於消費者在購物或其他類型的選擇上有正面的幫助,蒐集使用者的操作紀錄與試驗問卷,之後透過資料分析,驗證本研究所設計的社群投票機制效益。 研究結果顯示,除了在網站品質中的安全性與隱私性表現較不理想,其它在知覺易用性、知覺有用性、使用意向、持續性使用行為與社群互動上都有不錯的結果。 | zh_TW |
dc.description.abstract | Through the explosive growth of social network, the social-based application services have been increasing progressively. On the other hand, E-commerce have developed maturely. When E-commerce combines with social network, it creates a new type of E-commerce, called S-commerce. According to many researches, if consumers try to make a purchase decision, they may collect opinions and recommendations from friends. It will be deemed as references for the final decision. Although present social network sites offer a great interactive platform, it is not easy to interact with friends for merchandise inquiry. The purpose of this study is to implement and verify a social election mechanism for purchase decision-making. With the self-built merchandise web page, consumers have a more effective, convenient, and interactive way for merchandise inquiry with friends.
This study is trying to explore if there are any benefits for consumers to collect recommendations from friends with social election mechanism, and then measures the performance of the social election mechanism by collecting and analyzing users’ operation data and questionnaires. The final discovery shows that perceived ease of use, perceived usefulness, behavioral intention, continuous use behavior, and social interaction perform well. Only the constructs of security and privacy need to be improved. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T02:30:28Z (GMT). No. of bitstreams: 1 ntu-104-R02725043-1.pdf: 2414554 bytes, checksum: ed8745ec776c4d6d7793e485fa708255 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 誌謝 i
中文摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vii 表目錄 x 第一章 緒論 1 第一節 研究背景 1 第二節 研究目的 4 第三節 研究範圍與流程 6 第二章 文獻探討 8 第一節 消費者購買決策 8 第二節 社群影響與社群衝擊 9 第三節 社群商務 11 2.3.1 社群商務的定義 11 2.3.2 社群商務的特性 12 2.3.3 與電子商務的關連性 13 2.3.4 與電子商務的區別 13 2.3.5 社群商務的要素 14 第四節 科技接受度 15 第三章 研究方法 17 第一節 研究描述 17 第二節 系統開發 19 3.2.1 開發環境 19 3.2.2 系統功能 20 第三節 使用者問卷調查 23 第四章 模擬情境 29 第五章 研究結果與探討 35 第一節 教學問卷樣本結構與特徵 35 第二節 教學問卷結果 37 第三節 教學問卷結果探討 41 第四節 試驗問卷樣本結構與特徵 42 第五節 試驗問卷結果 46 5.5.1 平台問項 46 5.5.2 投票活動問項 50 第六節 試驗問卷結果探討 52 5.6.1 平台問項探討 52 5.6.2 投票活動問項探討 54 第七節 資料庫資料 56 第八節 資料庫資料探討 57 第九節 機制比較 58 第六章 結論與未來研究方向 59 第一節 結論 59 第二節 研究貢獻 59 第三節 研究限制 60 第四節 未來研究方向 60 參考文獻 62 | |
dc.language.iso | zh-TW | |
dc.title | 運用社群投票機制進行購買決策之實作與驗證 | zh_TW |
dc.title | On Social Election Mechanism for Purchase Decision-Making | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 盧信銘,陳文國 | |
dc.subject.keyword | 社群網路,電子商務,社群商務,決策支援,消費者決策行為,購買決策,群體決策, | zh_TW |
dc.subject.keyword | Social Network,Electronic Commerce,Social Commerce,Decision Support,Consumer Behavior,Purchase Decision-Making,Group Decision, | en |
dc.relation.page | 63 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-07-31 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
顯示於系所單位: | 資訊管理學系 |
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