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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47781Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 曹承礎 | |
| dc.contributor.author | Ming-Yi Yang | en |
| dc.contributor.author | 楊明宜 | zh_TW |
| dc.date.accessioned | 2021-06-15T06:18:11Z | - |
| dc.date.available | 2011-08-18 | |
| dc.date.copyright | 2010-08-18 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-10 | |
| dc.identifier.citation | (n.d.). Retrieved 11 3, 2009, from CheckFacebook.com: http://www.checkfacebook.com/
(n.d.). Retrieved from BuyTogether合購Go: http://buytogether.no-ip.org/chouyourproject/index.php (2009, 11). Retrieved from comScore: http://www.comscore.com/ Agarwal, R., & Karahanna, E. (2000, 12). Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly , 24 (4), pp. 665-694. Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation model. Journal of Academy of Marketing Science , 16 (1), pp. 74-94. Bentlera, P., & Bonett, D. G. (1980, 11). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin , 88 (3). boyd, d. m., & Ellison, N. B. (2007, 10). Social Network Sites: Definition, History,and Scholarship. Journal of Computer-Mediated Communication , vol. 13 (1), p. 211. Boyd, d. m., & Ellison, N. B. (2007, 10). Social Network Sites: Definition, History,and Scholarship. Journal of Computer-Mediated Communication , vol. 13 (1), p. 211. Browne W., M., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research , 21 (2), p. 230. Cliff, L., Nicole, E., & Charles, S. (2007). A Familiar Face(book): Profile Elements as Signals in an Online Social Network. San Jose,CA,USA. Csikszentmihaly, M. (1991). Flow:The Psychology of Optimal. New York: Harper Collins. DavisD.Fred. (1989). Perceived Usefulness,Perceived Ease of Use, and User Acceptance of lnformation Technology. MIS Quarterly, 頁 319-340. Enders, A., Hungenberga, H., Denkera, H.-P., & Maucha, S. (2008). The long tail of social networking.: Revenue models of social networking sites. European Management Journal , 26 (3), pp. 199-211. Garton, L., Haythornthwaite, C., & Wellman, B. (1997). Studying online social networks. Journal of Computer-Mediated Communication , 3 (1), p. N/A. Golder, S., Wilkinson, D., & Huberman, B. (2007). Rhythms of Social Interaction: Messaging within a Massive Online Network. 3rd International Conference on Communities and Technologies (CT2007). Springer. Hayduk, L. A. (1987). Structural Equation Modeling with LISREL: Essentials and Advances. The Johns Hopkins University Press. Heijdenvan derHans. (2004年12月). User Acceptance of Hedonic Information Systems. MIS quarterly, 28 (4), 頁 695-704. Hoffman, D. L., & Novak, T. P. (1996, 7). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. The Journal of Marketing , 60 (3), pp. 50-68. Joreskog, K. G., & Sorbom, D. (1996). Lisrel 8: User's Reference Guide. Scientific Software. Koufaris, M. (2002, 6). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research archive , 13 (2), pp. 205 - 223. Kraus, J. (2008, 6 16). Spotlight on Social Computing. Retrieved from Supernova conference: http://supernovahub.com/2008/06/joe-kraus-spotlight-on-social-computing/ Kwon, O., & Wen, Y. (2009). An empirical study of the factors affecting social network service use. Computers in Human Behavior , 26 (2), pp. 254-263. Lumpkin, G. T., & Dess, G. G. (2004, 3). E-Business Strategies and Internet Business Models: How the Internet Adds Value. Organizational Dynamics , 33 (2), pp. 161-173. Novak, T., Hoffman, D. L., & Yung, F. Y. (1998). Modeling the structure of the flow experience among web users. INFORMS Marketing Science and the Internet Mini-Conference. MIT. Rau, P.-L. P., Gao, Q., & Ding, Y. (2008, 9). Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior , 24 (6), pp. 2757-2770. Sherman, P., & Rosen, P. A. (2006). Hedonic Information Systems: Acceptance of Social Networking Websites. AMCIS 2006 Proceedings. Sledgianowski, D., & Kulviwat, S. (2008). Social Network Sites: Antecedents of User Adoption and Usage. Americas Conference on Information Systems. Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring System Usage: Implications for IS Theory Testing. Management Science , 41 (8), pp. 1328-1342. Sutcliffe, A. (2002). Assessing the Reliability of Heuristic Evaluation for Website Attractiveness and Usability. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 5, p. 137. Urstadt, B. (2008, July/August). Social Networking Is Not a Business. Retrieved from Technology Review: http://www.technologyreview.com/business/20922/ | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47781 | - |
| dc.description.abstract | 社交網路服務在台灣的使用率在過去一年中成倍數增長,除了以社交網路服務為主軸的網站之外,本研究希望探討應用社交網路服務於一般網站上,提出新的衡量社交網路服務貢獻於網站的方法,以影響使用意圖的知覺為考量點,探討運用社交網路服務在網站上,是否可以滿足使用者知覺感受,進而促進使用者的使用意圖。
參考文獻找出重要影響使用意圖的知覺構面,將科技接受模型中的兩大知覺結合流暢理論、網路購物行為等學理納入本研究模型,提出「專注」、「臨場感」、「激勵感」、「知覺愉悅性」、「知覺有用性」和「知覺易用性」等知覺構面,探索使用在應用社交網路服務的實驗合購網站中,觀察使用情況與使用者知覺反應。再利用焦點團體訪談的研究方法,請訪談者評論本研究實驗網站,衡量各知覺構面,並與過去合購經驗的差異比較。使用品質屋中的關聯矩陣方法,計算社交網路服務三大分類功能:「個人檔案」、「關係建立」、「留言」,在知覺構面的貢獻。「留言」分類功能對知覺構面影響程度最高,但「關係建立」卻是最少。根據這點建議網站經營者在應用社交網路服務時,應朝留言功能方面開發殺手應用,滿足使用者知覺以增強使用意圖,才能發揮社交網路服務應用的價值。 | zh_TW |
| dc.description.abstract | The utilization of social network service in Taiwan has grown multiply in the past year. Besides performing social networking service (SNS) as the main site service, our research wants to explore the new application of social network service in general websites. In order to do SNS assessment, we evaluate the degree of SNS function in user perception which perception is an important factor in enhancing users’ intention to use.
We integrated of flow theory, online shopping behavior theory and perceptions in technology acceptance model. By observing users’ behavior in experimental website, interviews in focus groups compared users’ perception with past experiences. We brought out the assumptions of ”arousal”, ”perceived enjoyment”, ”perceived usefulness”, ”perceived ease of use” affect user’s intention positively. Also, SNS functions, including three categories “profile”, ”build relationship”, “leave messages”, be evaluated by their influence in users’ perception. Leaving messages be found out to be the most valuable function in the comparison methods of quality function deployment. However, the key SNS function of building relationship is the worst. According to our research, it suggests that website operators should develop killer-applications toward leaving messages in applying SNS. Also they should consider that whether application can meet users’ perception or not. Therefore, SNS can not only improve users’ intention to use, but also play in worth. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T06:18:11Z (GMT). No. of bitstreams: 1 ntu-99-R97725021-1.pdf: 938004 bytes, checksum: 8542ab7db3bc5dbcc0b38b879b07a30f (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 致謝 I
論文摘要 II THESIS ABSTRACT III 目錄 IV 圖次 VII 表次 VIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究問題與目的 3 1.3 研究流程 5 第二章 文獻回顧 8 2.1 社交網路服務 8 2.1.1. 社交網路服務簡介 8 2.1.2. 社交網路服務功能 9 2.2 科技接受模型 11 2.2.1. TAM的定義 11 2.2.2. TAM的相關研究及應用 12 2.3 流暢理論 13 2.4 品質機能展開 15 2.4.1. 品質機能展開定義 15 2.4.2. 品質機能展開應用 17 第三章 研究方法 18 3.1 研究架構 18 3.2 研究變數之定義與問項 18 3.2.1. 使用意圖(Intention to Use) 18 3.2.2. 專注(Concentration/Attention Focused) 18 3.2.3. 臨場感(Telepresence) 19 3.2.4. 激勵感(Arousal) 20 3.2.5. 知覺愉悅性(Perceived enjoyment) 21 3.2.6. 知覺有用性(Perceived Usefulness) 21 3.2.7. 知覺易用性(Perceived Ease of Use) 22 3.3 研究設計 22 3.3.1. 訪談-焦點團體研究方法 22 3.3.2. 訪談研究問題 23 3.3.3. 問卷設計 24 3.3.4. 問項設計 25 3.3.5. 樣本蒐集目標對象 26 3.3.6. 資料蒐集方式 28 3.3.7. 資料分析方法 28 第四章 資料分析與研究結果 29 4.1 焦點團體訪談結果 29 4.1.1. 訪談社交網路服務功能摘要分析 29 4.1.2. 社交網路服務對各知覺構面分析 32 4.1.3. 關聯矩陣結果 35 4.1.4. 關聯矩陣結果分析 35 4.1.5. 實驗網站使用心得訪談 36 4.1.6. 訪談結論 37 4.2 問卷結果 41 4.2.1. 敘述性資料統計 42 4.2.2. 探索性因素分析(EFA) 44 4.2.3. 衡量模式(Measurement Model) 48 4.2.4. 結構模式(Structural Model) 50 4.2.5. 問卷結論 52 第五章 討論與結論 54 5.1 討論 54 5.1.1. 理論意含 54 5.1.2. 實務建議 55 5.2 研究限制 56 5.3 後續研究建議 57 5.4 結論 58 參考文獻 59 附錄一:訪談摘要 62 附錄二:問卷 70 | |
| dc.language.iso | zh-TW | |
| dc.subject | 知覺愉悅性 | zh_TW |
| dc.subject | 社交網路服務 | zh_TW |
| dc.subject | 知覺有用性 | zh_TW |
| dc.subject | 激勵感 | zh_TW |
| dc.subject | 行為意圖 | zh_TW |
| dc.subject | 品質機能展開 | zh_TW |
| dc.subject | 關聯矩陣 | zh_TW |
| dc.subject | 知覺易用性 | zh_TW |
| dc.subject | QFD | en |
| dc.subject | arousal | en |
| dc.subject | correlation matrix | en |
| dc.subject | intention to use | en |
| dc.subject | perceived ease of use | en |
| dc.subject | perceived enjoyment | en |
| dc.subject | perceived usefulness | en |
| dc.subject | social network service | en |
| dc.title | 以影響使用者使用意圖的知覺為標準衡量社交網路服務網站應用 | zh_TW |
| dc.title | Evaluation Social Network Service In Website Application By User Perception Of Intention To Use | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 吳玲玲(Ling-Ling Wu),杜志挺(Timon Du) | |
| dc.subject.keyword | 社交網路服務,知覺有用性,知覺易用性,激勵感,知覺愉悅性,行為意圖,品質機能展開,關聯矩陣, | zh_TW |
| dc.subject.keyword | arousal,correlation matrix,intention to use,perceived ease of use,perceived enjoyment,perceived usefulness,social network service,QFD, | en |
| dc.relation.page | 76 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-08-11 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| Appears in Collections: | 資訊管理學系 | |
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| ntu-99-1.pdf Restricted Access | 916.02 kB | Adobe PDF |
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