Please use this identifier to cite or link to this item:
DC FieldValueLanguage
dc.contributorTzong-Ru Leeen_US
dc.contributor.authorPei-Ning Huangen_US
dc.identifier.citation財團法人台灣網路資訊中心. (2014). 台灣寬頻網路使用調查.。 國家教育研究院. (2000). 獨立變項Independent Variables.。 資策會產業情報研究所. (2010). 團購將成為網友未來的主要互動模式. 資策會產業情報研究所. (2014a). 網路社群媒體使用現況分析.。 資策會產業情報研究所. (2014b). 消費者網購資訊來源:網路廣告佔81.3%. 鄧聚龍. (1986). 灰色預測與決策,湖北:華中理工大學出版社。 鄧聚龍. (1989). 灰色原理與應用,新北市:全華科技圖書公司。 鄧聚龍. (2000). 灰色系統理論與應用, 台北: 高立圖書有限公司。 Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology. Journal of Business Research, 67(11), 2282-2290. Arce, M. E., Saavedra, Á., Míguez, J. L., & Granada, E. (2015). The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review. Renewable and Sustainable Energy Reviews, 47, 924-932. Bèzes, C. (2014). Definition and psychometric validation of a measurement index common to website and store images. Journal of Business Research, 67(12), 2559-2578. Barrutia, J. M., & Gilsanz, A. (2013). Electronic Service Quality and Value Do Consumer Knowledge-Related Resources Matter? Journal of Service Research, 16(2), 231-246. Cai, S., & Xu, Y. (2011). Designing not just for pleasure: Effects of Web site aesthetics on consumer shopping value. International Journal of Electronic Commerce, 15(4), 159-188. Cebi, S. (2013). A quality evaluation model for the design quality of online shopping websites. Electronic Commerce Research and Applications, 12(2), 124-135. Cenfetelli, R. T., & Schwarz, A. (2011). Identifying and testing the inhibitors of technology usage intentions. Information Systems Research, 22(4), 808-823. Chen, A., Lu, Y., Gupta, S., & Xiaolin, Q. (2013). Can customer satisfaction and dissatisfaction coexist? An issue of telecommunication service in China. Journal of Information Technology, 29(3), 237-252. doi: 10.1057/jit.2013.26 Chen, R. (2013). Member use of social networking sites—an empirical examination. Decision Support Systems, 54(3), 1219-1227. Cheng, S.-Y., Tsai, M.-T., Cheng, N.-C., & Chen, K.-S. (2012). Predicting intention to purchase on group buying website in Taiwan: Virtual community, critical mass and risk. Online Information Review, 36(5), 698-712. Chua, A. Y., Goh, D. H., & Ang, R. P. (2012). Web 2.0 applications in government web sites: Prevalence, use and correlations with perceived web site quality. Online Information Review, 36(2), 175-195. Cocquebert, E., Trentesaux, D., & Tahon, C. (2010). WISDOM: A website design method based on reusing design and software solutions. Information and Software Technology, 52(12), 1272-1285. Commons, J. R. (1934). Institutional Economics. New York, Macmillan: The Macmillan Company. Connolly, R., Bannister, F., & Kearney, A. (2010). Government website service quality: a study of the Irish revenue online service. European Journal of Information Systems, 19(6), 649-667. Daniel, D. R. (1961). Management information crisis. Harvard Business Review, 39(5), 111-121. Dickinger, A., & Stangl, B. (2013). Website performance and behavioral consequences: A formative measurement approach. Journal of Business Research, 66(6), 771-777. Gooraki, E., & Shirazi, A. N. M. (2014). Defining qualitative assessing parameters of Iran banks website. Requirements Engineering, 19(1), 81-87. Grunert, K. G., & Ellegaard, C. (1992). The concept of key success factors: theory and method: MAPP. Hanzaee, K. H., Behboudi, M., & Ardakani, A. (2011). Right website model (RWM): Selecting the right website for publication of internet advertisements. African Journal of Business Management, 5(23), 9932-9946. Heinrichs, J. H., Lim, J. S., & Lim, K. S. (2011). Influence of social networking site and user access method on social media evaluation. Journal of Consumer Behaviour, 10(6), 347-355. Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246-259. Huertas-Garcia, R., Gazquez-Abad, J. C., Forgas-Coll, S., & Casas-Romeo, A. (2014). Designing a hotel website : an empirical analysis for a classic destination using a conjoint experiment. 45(2), 51-63. Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294. Klaus, P. (2013). The case of Amazon. com: towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing, 27(6), 443-457. Kumar Roy, S., M. Lassar, W., & T. Butaney, G. (2014). The mediating impact of stickiness and loyalty on word-of-mouth promotion of retail websites: A consumer perspective. European Journal of Marketing, 48(9/10), 1828-1849. Ling-yee, L. (2010). Antecedents and effect of internet implementation for trade shows. Journal of Business & Industrial Marketing, 25(4), 272-283. Luo, J., Ba, S., & Zhang, H. (2012). The Effectiveness of Online Shopping Characteristics and Well-Designed Websites on Satisfaction. MIS Quarterly, 36(4), 1131-1144. Munoz-Leiva, F., Luque-Martínez, T., & Sánchez-Fernández, J. (2010). How to improve trust toward electronic banking. Online Information Review, 34(6), 907-934. Payton, F. C., Kvasny, L., & Kiwanuka-Tondo, J. (2014). Online HIV prevention information: How black female college students are seeking and perceiving. Internet Research: Electronic Networking Applications and Policy, 24(4), 520-542. Rocha, Á. (2012). Framework for a global quality evaluation of a website. Online Information Review, 36(3), 374-382. Rockhart, J., & Bullen, C. (1981). A Primer on Critical Success Factors., Cambridge, MA: Center for Information Systems Research, Massachusetts Institute of Technology: Working Paper. San-Martín, S., & Camarero, C. (2012). A cross-national study on online consumer perceptions, trust, and loyalty. Journal of Organizational Computing and Electronic Commerce, 22(1), 64-86. Seyedi, S. M., Taherzadeh, M., Dalvand, M. R., Zohdi, M. H., & Hasani, M. (2011). Examining qualitative factors influencing on business-to-customer websites using fuzzy methods: Comparison of Iran with developed countries. African Journal of Business Management, 5(33), 12904-12914. Shih, H.-P., & Jin, B.-H. (2011). Driving goal-directed and experiential online shopping. Journal of Organizational Computing and Electronic Commerce, 21(2), 136-157. Shu, W., & Chuang, Y.-H. (2011). The perceived benefits of six-degree-separation social networks. Internet Research, 21(1), 26-45. Sun, H., Teh, P.-L., & Chiu, A. (2012). An empirical study on the websites service quality of Hong Kong small businesses. Total Quality Management & Business Excellence, 23(7-8), 931-947. Tan, C.-W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly, 37(1), 77-109. Vila, N., & Kuster, I. (2011). Consumer feelings and behaviours towards well designed websites. Information & Management, 48(4), 166-177. Wu, W.-Y., Hsiao, S.-W., & Chen, S.-P. (2004). Appling the Grey Prediction Model To Track The Internet's Global Diffusion. Journal of Grey System, 7(1), 56-63. Wulandhari, L. A., Wibowo, A., & Desa, M. I. (2014). Improvement of Adaptive GAs and Back Propagation ANNs Performance in Condition Diagnosis of Multiple Bearing System Using Grey Relational Analysis. Computational intelligence and neuroscience, 2014. Yaghoubi, N. M., Armesh, H., Azadavar, R., Nasrabadi, H., & Khajooei, H. (2011). Internet bookstore quality assessment: Iranian evidence. African Journal of Business Management, 5(30), 12031-12039. Yang, M.-H., Weng, S.-S., & Hsiao, P.-I. (2014). Measuring blog service innovation in social media services. Internet Research, 24(1), 110-128. Yeh, N.-C., Chuan-Chuan Lin, J., & Lu, H.-P. (2011). The moderating effect of social roles on user behaviour in virtual worlds. Online Information Review, 35(5), 747-769. Yen, B., Hu, P. J.-H., & Wang, M. (2007). Toward an analytical approach for effective Web site design: A framework for modeling, evaluation and enhancement. Electronic Commerce Research and Applications, 6(2), 159-170. Zhou, T. (2011). Examining the critical success factors of mobile website adoption. Online Information Review, 35(4), 636-652. Zhu, D.-S., Lin, T. C.-T., & Hsu, Y.-C. (2012). Using the technology acceptance model to evaluate user attitude and intention of use for online games. Total Quality Management & Business Excellence, 23(7-8), 965-980.zh_TW
dc.description.abstractWhile the world economic system is changing towards the new Web based Economics, this research explores the key success factors of content of websites and social medias. The content of website is the design factors that could be controlled by website operator, for example, Website design (the arrangement of website appearance, the classification of products and the update frequency), Products (the quality of products, the range and selection of products, store inventory) and Promotions (rebate and private or preferred customer sales). The content of social media is the social media design could be controlled by social media operator, for example, Communication (responsiveness), Prestige (reputation, sustainability and currency) and Merchandise (quality, range, selection and store inventory) and so on. Most import of all, we hope that by determining the Key Success Factors (KSF) of content design, website and social media content designers can design their better quality contents based on these KSF. Then, online readers can view the value of website or social media from the highlight of culture and product, not only price. This research collected the factors of website design and social media design by literature review and compiled all the factors to develop the questionnaires, including 'Questionnaire 1: dimensions of website', 'Questionnaire 2: factors of website', 'Questionnaire 3: dimensions of social media' and 'Questionnaire 4: factors of social media', which are to be answered by managers. We collected 173 effective samples in 'Questionnaire 1: dimensions of website', 201 effective samples in 'Questionnaire 2: factors of website', 241 effective samples in 'Questionnaire 3: dimensions of social media' and 236 effective samples in Questionnaire 4: factors of social media'. In addition, this study also conducted a survey through Grey Relational Analysis (GRA) to extract the KSF of website design for operators to improve the quality of website and the intention of website browsers to develop the marketing strategies attracting customers. This study also extracts the key success factors of social media design for operators to improve the quality of social media and the intention of social media browsers to develop the marketing strategies attracting social media users. Finally, we apply the KSF of social media content design to one real Tina shop content issued by social media. We develop the'Questionnaire 5', which compared original content with content designed based on KSF. And we collected 383 effective samples in 'Questionnaire 5'. The result of'Questionnaire 5' shows the application of KFS is practicable.en_US
dc.description.abstract有鑑於全球經濟體系由傳統邁向「網路」經濟新時代,本研究探討「網站內容」與「社群媒體內容」之關鍵成功因素。「網站內容」是「網站經營者」對於「網站」所能操控的「設計因素」,例如: 網站的設計(網站畫面的安排、商品的分類方式及網站設計的更新速度)、商品(商品的品質、商品種類的寬度與廣度及商品的存貨資訊)、促銷(促銷的折扣資訊、配合消費者偏好的促銷期間及促銷的折價券資訊)…等。「社群媒體內容」是「社群媒體經營者」對於「社群媒體」所能操控的「設計因素」,例如: 溝通(提供店家的聯絡資訊及擁有短時間內回應顧客需求的能力)、聲望(社群媒體的知名度、社群媒體服務是永續經營的及社群媒體是持續性的在進步)、商品(商品的品質、商品種類的寬度與廣度及商品的存貨資訊)…等,本研究之目的為探討出「網站內容設計因素」及「社群媒體內容設計因素」提供給經營者提升其文章內容品質後,使大家未來在虛擬通路購物時,不只只是重視商品的「價格」,而是願意去瞭解各網站或各社群媒體所提供的「差異性」之「內容」來決定是否購買。 本研究以文獻蒐集之方式彙整「網站內容設計因素」及「社群媒體內容設計因素」。在「網站內容設計因素」的部分發展出「問卷一:網站設計構面之問卷」及「問卷二:網站設計因素之問卷」;在「社群媒體內容設計因素」的部分發展出「問卷三: 社群媒體設計構面之問卷」及「問卷四:社群媒體設計因素之問卷」,並透過實際發放問卷給職位階級為「管理階級」的管理者填寫,問卷一回收173份、問卷二回收201份、問卷三回收241份,及問卷四回收236份。 本研究透過「灰關聯分析法」分析上述四份問卷,並將萃取出的「網站內容設計因素之關鍵成功因素」提供給網站經營者參考,以利其提升「網站內容設計」之品質及網站瀏覽者的使用意願,進而以利經營者自行發展出適合的行銷策略來吸引消費者瀏覽網站,以及將萃取出的「社群媒體內容設計因素之關鍵成功因素」提供給社群媒體經營者參考,以利其提升「社群媒體內容設計」之品質及社群媒體使用者之使用意願,進而以利經營者自行發展出適合的行銷策略來吸引消費者使用社群媒體。 最後,本研究將「社群媒體內容設計」之研究結果得出的關鍵成功因素應用於一個鮪魚專賣店的實際社群媒體發布的文章,將原文與應用關鍵成功因素的文章發展成網路問卷,經過發放後,共回收383份問卷,問卷結果驗證本研究之關鍵成功因素之應用是可行性的,可提供給各行業的社群媒體經營者在設計文章內容前做參考。zh_TW
dc.description.tableofcontents摘要 i Abstract ii 目錄 iii 表目錄 iv 圖目錄 vii 第一章 緒論 1 第一節 研究背景與研究動機 1 第二節 研究目的 3 第三節 研究流程 4 第二章 文獻探討 17 第一節 關鍵成功因素 17 第二節 網站設計之文獻探討 18 第三節 社群媒體設計之文獻探討 48 第四節 灰關聯分析法 56 第三章 研究因素的問項定義、彙整原則,彙整結果及四份問卷設計 60 第一節 定義「網站設計」及「社群媒體設計」因素之問項 60 第二節 研究因素之彙整原則 92 第三節 彙整「網站設計」及「社群媒體設計」之因素結果 95 第四節「網站設計」及「社群媒體設計」之各兩份問卷設計 170 第四章 問卷分析 183 第一節「網站設計因素」之問卷結果分析 183 第二節「社群媒體設計因素」之問卷結果分析 226 第五章 驗證「社群媒體內容設計之關鍵成功因素」之研究結果 280 第六章 研究結論與建議 302 第一節 研究結果與結論 302 第二節 未來研究之建議 310 參考文獻 311 附件一 問卷一:網站設計構面之問卷 315 附件二 問卷二:網站設計因素之問卷 321 附件三 問卷三:社群媒體設計因素之問卷 327 附件四 問卷四:社群媒體設計因素之問卷 334 附件五「問卷五:驗證關鍵成功因素之問卷」之文章內容 340zh_TW
dc.subjectWebsite content designen_US
dc.subjectSocial mediaen_US
dc.subjectSocial media content designen_US
dc.subjectTuna shopen_US
dc.subjectKey Success Factorsen_US
dc.subjectGrey Relational Analysisen_US
dc.titleUsing Grey Relation Analysis to Determine the Key Success Factors of the Website Content and Social Media Contenten_US
dc.typeThesis and Dissertationen_US
item.openairetypeThesis and Dissertation-
item.fulltextwith fulltext-
Appears in Collections:行銷學系所
Files in This Item:
File Description SizeFormat Existing users please Login
nchu-104-7102044010-1.pdf4.75 MBAdobe PDFThis file is only available in the university internal network    Request a copy
Show simple item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.