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研究生:廖洧杰
研究生(外文):Wei-chieh Liao
論文名稱:跨平台網頁設計RWD方法採用行為之探討 - 以TAM與TTF整合模式為基礎
論文名稱(外文):Exploring the Adoption Behavior of Responsive Web Design Based on the Integrated TAM-TTF Model
指導教授:陶幼慧陶幼慧引用關係
指導教授(外文):Yu-hui Tao
學位類別:碩士
校院名稱:國立高雄大學
系所名稱:資訊管理學系碩士班
學門:電算機學門
學類:電算機一般學類
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:71
中文關鍵詞:Responsive Web Design科技接受模式任務-科技適配度理論轉換障礙
外文關鍵詞:Responsive Web DesignTechnology acceptance modelTask- technology fit theorySwitch Barriers
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隨著行動上網的資訊普及,許多行動裝置如智慧型手機、平板電腦等行動設備,已經成為許多人生活與工作無法欠缺的工具。在行動裝置尚未普及前,網頁設計師通常只會針對低螢幕解析度的手機設計客製化版本。2012年OpenSignalMaps對行動裝置的螢幕解析度市占率調查,Android已突破4,000款產品,涵蓋了更大範圍的螢幕解析度,因此,滿足不同載具與螢幕解析度的適當內容呈現,成為網頁設計師在設計行動裝置網頁時的一大困擾。
2010年時,Ethan Marcotte提出了『Responsive Web Design』(RWD)之網頁設計模式,針對不同螢幕解析度導入CSS3 Media Queries的語法設定,於網頁呈現時可依設定自動進行網頁版型上的調整(Marcotte, 2010)。RWD網頁設計模式獲得了國外網頁設計師的熱烈迴響,但國內實際採用的現況仍未到位。因此,本研究以科技接受模式與任務-科技適配理論整合模式,來探討網頁設計師對於RWD的任務適配與採用意願的程度;並探討實際使用RWD方法的結果,是否可以轉換障礙為焦點前置影響因素,補強傳統影響因素在實際觀察中解釋的不足?
本研究採問卷調查方式,以國內網頁設計師作為研究對象進行實證研究:經過便利抽樣的84份前測資料,進行簡單的信效度分析及問卷的修正;正式施測時,針對網頁設計師網路社群發放線上問卷,一共回收有效問卷142份。以SmartPLS進行確認因素分析的模式適配及模式驗證分析。本研究所提之路徑模式研究結果顯示網頁設計師對於RWD的科技特性與任務特性的認知,會正向影響任務-科技適配程度;而轉換成本與替代品吸引力兩個轉換障礙因素,和科技接受模式的採用意圖一樣,同時影響網頁設計師的實際使用結果,證實了本研究觀察到的使用意圖和實際採用仍有其他關鍵因素之觀點。
論文最後,本研究將彙整理論架構與資料分析結果,提出本研究之結論,對於網頁設計領域之貢獻與建議以及本研究的限制。
With the increasing popularity of mobile Internet information, many mobile devices, such as smart phones, tablets and other mobile devices, have become must-have tools in many people's lives and routine jobs. Before the popularity of mobile device, Web designers usually only need to customize Mobile webpages for mobile phones with low-screen resolutions. In the market share survey of screen resolutions on mobile devices by OpenSignalMaps in 2012, Android mobile phones has exceeded 4,000 models, covering a wider range of screen resolutions. Therefore, it has been a challenge for Web designers to satisfy the content presentation on various screen resolutions and mobile carriers.
In 2010, Ethan Marcotte proposed the "Responsive Web Design" (RWD) of Web design patterns, such that for different screen resolutions by utilizing the syntax setting of CSS3 Media Queries, the page presentation can be dynamically adjusted during the page rendering time. RWD web design is popular, but it is not widely adopted in Taiwan. This observed gap phenomenon cannot be fully explained by the theoretical models in the literature. Therefore, this study integrated Technology Acceptance Model with the Task - Technology Fit Theory as a base model to explore the perceived levels of Web designers on RWD task fit and intention to adopt. Also, it is interesting to explore whether the switching barrier is a plausible antecedent factors for influencing the actual use of RWD method to reinforce the insufficient influence explained by traditional factors as seen in the literature?
This empirical study used questionnaires to collect domestic web designers’ perceptions. Using a convenience sample of 84 pre-test data, a simple analysis of reliability and validity for revising the questionnaire was executed. In the formal data collection stage, Web surveys were distributed to Web designers via a professional Internet community, and a total of 142 valid questionnaires were received. SmartPLS was used to confirm the model fit and conduct the model testing analyses.
The results show that the perceived RWD’s technology features and task characteristics by Web designers positively affect the level of task-technology fit; Meanwhile, the switching cost and attractive alternative also affect the actual RWD use by the Web designers in addition to the intention to use factor in Technology Acceptance Model, which confirms the hypotheses originated from practical observations.
Based on the aggregation of the proposed research model and corresponding results, the research findings are discussed, contribution and suggestions to Web design domain are proposed, and the research limitations are also listed.
第1章 緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 研究目的與問題 4
第2章 文獻探討 7
2.1 Responsive Web Design 7
2.1.1 CSS3 Media Queries 7
2.1.2 Responsive Web Design緣起 9
2.2 科技接受模式 13
2.3 任務-科技適配模式 16
2.4 轉換障礙 20
第3章 研究方法 22
3.1 研究架構與研究假說 22
3.2 量表前測與資料蒐集對象 26
3.3 問卷設計 26
3.4 資料分析方法 29
第4章 資料分析 31
4.1 前測分析 31
4.2 正式樣本資料分析 36
4.3 信效度分析 38
4.4 模式驗證 41
第5章 結論與貢獻 45
5.1 結論 45
5.2 研究貢獻 47
5.3 研究限制 48
5.4 未來研究建議 48
參考文獻 50
附錄 57
附錄A. RWD之線上正式問卷 57
附錄B. PLS路徑分析圖 60
附錄C. bootstrap路徑分析圖 61
楊裕斌(2006),資訊科技對知識管理活動之影響研究—以任務科技適配度理論為基礎,義守大學資訊管理研究所碩士論文。
廖洧杰(2013),CSS課程-Responsive網頁排版技術課程,http://registrano.com/events/c33aa3。
廖勝富(2009),科技產品轉換模型-以智慧手機導航與可攜式車用導航為例,國立臺北大學企業管理研究所碩士論文。
劉蔚廷(2004),資訊科技在組織內擴散之研究-以TAM與TTF探討,東吳大學企業管理研究所碩士論文。
資策會(2012),數位教育研究所系列課程,Responsive Web Design, http://www.iiiedu.org.tw/taipei/aspro/course_c.asp?qcno=DWB152T&qvendor=99。
董和昇(2002),網站使用者資訊獲取策略之研究,國立中山大學資訊管理研究所博士論文。
蔡紀暘(2006),專為行動裝置設計的網頁調適工具,交通大學資訊科學與工程研究所碩士論文。
蔡顯童、賴子珍、邱雅鈴(2011),從多元觀點探討使用者對於電子書閱讀器的採用行為,電子商務學報,13(4),841-871。
鐘春成(2008),由網站結構與視覺設計探討與研究如何創作藝術家網站-以龐均為題材創作藝術家網站為例,國立臺灣藝術大學視覺傳達設計研究所碩士論文。
鄭春蓮(2009),應用網頁轉換技術解決行動裝置瀏覽網頁問題之研究,淡江大學資訊工程研究所在職專班碩士論文。
Adams, D. A., Nelson, R. R., and Todd, P. A. (1992), Perceived usefulness, ease of use, and usage of information technology: A replication, MIS Quarterly, 16(2), 227-247.
Adobe TV (2012), Dreamweaver CS6 for responsive design, Retrieved from http://tv.adobe.com/watch/creative-week-how-tos/dreamweaver-cs6-for-responsive-design/.
Ajzen, I. (1985), From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp. 11-39). Heidelberg: Springer.
Ajzen, I., & Fishbein, M. (1980), Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
Barclay, D., Thompson, R. & Higgins, C. (1995), The Partial Least Squares (PLS) approach to causal modeling: Personal computer adoption and use an illustration. Technology Studies, 2(2), 285-309.
Bendapudi, N. & Berry, L. L. (1997), Customers' motivations for maintaining relationships with service providers. Journal of Retailing, 73(1), 15-38.
Bovens (2012), Responsive design: techniques and tricks to prepare your websites for the multi-screen future, In Web2day 2012 Conferences, Retrieved from http://lanyrd.com/2012/web2daynantes/syrrd/.
Bootstrap Blog(2012), Bootstrap 2.0.3 released, Retrieved from http://blog.getbootstrap.com/2012/04/24/bootstrap-2-0-3-released/.
Chan, J. (2013), Responsive Web design is not the future, Retrieved from http://sixrevisions.com/mobile/responsive-web-design-not-the-future/.
Cheong, J. H., Park, M. C. & Hwang, J. H. (2004), Mobile payment adoption in Korea: Switching from credit card. In ITS 15th Biennial Conference, Berlin, Germany, September (pp. 4-7).
Devaraj, S., Fan, M., and Kohli, R. (2002), Antecedents of B2C channel satisfaction and preference: Validation e-commerce metrics, Information Systems Research, 13(3), 316-333.
Davis, F. D. (1986), A Technology Acceptance Model of Empirically Testing New End-User Information System: Theory and Results. Doctoral Dissertation: Sloan School of Management, Massachusetts Institute of Technology.
Davis, F. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D. (1993), User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Stu-dies, 38(3), 478-487.
Dennis, A. R., Wixom, B. H., & Vandenberg, R. J. (2001), Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Quarterly, 25(2), 167 -193.
Dishaw, M. T. & Strong, D. M. (1998), Assessing software maintenance tool utilization using task–technology fit and fitness-for use models. Journal of Software Maintenance Research and Practice, 10(3), 151–179.
Dishaw, M. T. & Strong, D. M. (1999), Extending the technology acceptance model with task–technology fit constructs. Information and Management, 36(1), 9–21.
Environments for humans(2012), Responsive Web design summit 2012, Retrieved from http://environmentsforhumans.com/2012/responsive-web-design-summit/.
Ewer, T. (2012), 5 reasons why responsive design is not worth it, Retrieved from https://managewp.com/5-reasons-why-responsive-design-is-not-worth-it/comment-page-1.
Falkowski (2012), Skinny ties and responsive eCommerce, Retrieved from http://gravitydept.com/blog/skinny-ties-and-responsive-ecommerce/.
Fenech, T. (1998), Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Computer Networks and ISDN Systems, 30(1), 629-630.
Fishbein, M. & Ajzen, I. (1975), Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Fling, B. (2009), Mobile design and development: Practical concepts and techniques for creating mobile sites and Web apps. O'Reilly Media.
Fornell, C. & Larcker, D. F. (1981), Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-5.
Fox, R. (2012), Being responsive, OCLC Systems & Services, 28(3), 119-125.
Frain, B. (2012), Responsive web design with HTML5 and CSS3. Packt Publishing Ltd.
Gardner, B. S. (2011), Responsive Web design: Enriching the user experience. Connectivity and the User Experience, 11(1), 13-19.
Gefen, D. & Straub, D. W. (2005), A practical guide to factorial validity using pls-graph: Tutorial and annotated example, Communications of The Association for Information Systems, 16(5), 91-109.
Gefen, D., Straub, D. W. and Boudreau, M. C. (2000), Structural equation modeling and regression: Guidelines for research practice, Communications of The Association for Information Systems, 4(7), 1-79.
Gefen, D., Karahanna, E., and Straub, D. W. (2003), Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
Goodhue, D. L. & Thompson, R. L. (1995), Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236.
Google Blog (2012a), Responsive design–harnessing the power of media queries, Retrieved from http://googlewebmastercentral.blogspot.jp/2012/04/responsive-design-harnessing-power-of
.html.
Google Blog (2012b), Mobile Websites vs. responsive design: What’s the right solution for your business? Retrieved from http://googlemobileads.blogspot.tw/2012/07/mobile-websites-vs-responsive-design.html.
Hair, J. F., Anderson, L E., Tatham, L. L. & Black, W. C. (1992), Multivariate Data Analysis with Readings, Macmillan, New York.
Helena (2013), Responsive Web design advantages, Retrieved from http://www.onbile.com/info/responsive-web-design-advantages/.
Hendrickson, A. R., Massey, P. D. & Cronan, T. P. (1993), On the test-retest reliability of perceived usefulness and perceived ease of use scales, MIS Quarterly, 17(2), 227-229.
Hu, P. J., Chau, P. Y. K., Liu Sheng, O. R & Tam, K. Y. (1999), Examining the technology acceptance model using physician acceptance of telemedicine technology, Journal of Management Information Systems, Fall, 16(2), 91-112.
Indieconf (2012), CSS3: Using media queries to improve the website experience, Retrieved from http://indieconf.com.
Jones, M. A., Mothersbaugh, D. L. & Beatty, S. E. (2000), Switching barriers and repurchase intentions in services. Journal of retailing, 76(2), 259-274.
JQuery Mobile (2012), jQuery Mobile, Retrieved from http://jquerymobile.com/.
Julander, C. R. & Soderlund, M. (2003), Effects of switching barriers on satisfaction, repurchase intentions and attitudinal loyalty. SSE/EFI Working Paper Series in Business Administration, 1, 1-21.
Karaiskos, D.,Kourouthanassis, P.,Giaglis, G. (2007), User acceptance of pervasive information systems: Evaluating an RFID ticketing system. In proceedings of the 15th European Conference on Information System(ECIS), June 7-9, 1910-1921.
Keil, M., Beranek, P. M. & Konsynski, B. R. (1995), Usefulness and ease of use: Field study evidence regarding task considerations. Decision Support Systems, 13(1), 75-91.
Klopping, I. M., & McKinney, E. (2004), Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information technology learning and performance journal, 22(1), 35-48.
Kim, H. W. & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quarterly, 33(3), 567-582.
Lam, H., & Baudisch, P. (2005), Summary thumbnails: readable overviews for small screen web browsers. In Proceedings of the SIGCHI conference on Human factors in computing systems, April, pp. 681-690.
Lanyrd.com (2012), Responsive Web Design conferences, Retrieved from http://lanyrd.com/topics/responsive-web-design/past/.
Marcotte, E. (2010), Responsive web design, Retrieved from http://alistapart.com/article/responsive-web-design.
Marcotte, E. (2012), Rolling up our responsive sleeves, Retrieved from http://aneventapart.com/news/post/marcotte2012RWD.
Mashable (2012), Why 2013 is the year of responsive Web design, Retrieved from http://mashable.com/2012/12/11/responsive-web-design/.
Net Applications(2012), 2010/10~2012/12 Browsing by device category trend, Retrieved from http://www.netmarketshare.com/report.aspx?qprid=61&qptimeframe=M&qpsp=143&qpnp=25.
Nunnally, J. C. (1978), Psychometric Theory, New York: McGraw-Hill.
O’Neill(2013), You like apples? Retrieved from http://electricpulp.com/notes/you-like-apples/.
Opensignal(2012), The many faces of a little green robot, Retrieved from http://opensignal.com/reports/fragmentation.php.
Pavlou, P. (2003), Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model, International Journal of Electronic Commerce, 7(3), 101-134.
Rensfeldt, J. (2012), Responsiv Web Design och plattformsoberoende webbplatser : Webbplatsanpassning med inriktning mot flexibilitet, Linnaeus University, School of Computer Science, Physics and Mathematics.
Responsiveconf (2012), Responsive day out, Retrieved from http://responsiveconf.com.
Sarmiento, J. P. (2011), 11 reasons why responsive design isn’t that cool! Retrieved from http://www.webdesignshock.com/responsive-design-problems.
Shih, H. P. (2004), Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719-729.
Smashinghub (2012), Six expected Web design trends in 2013, Retrieved from http://smashinghub.com/web-design-trends-in-2013.htm.
Straub, D., Boudreau, M. & Gefen, D. (2004), Validation guidelines for is positivist research, Communications of the Association for Information Systems, 13, 380-426.
Taylor, S. & Todd, P. A. (1995a), Decomposition and cross effects in the theory of planned behavior: A study of consumer adoption intentions, International Journal of Research in Marketing, 12, 137-155.
Taylor, S. & Todd, P. A. (1995b), Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Themes4cms (2013), Advantages of responsive Web design, Retrieved from http://www.themes4cms.com/blog/advantages-of-responsive-web-design.
UIE Uiconf (2012), Building adaptive designs now, Retrieved from http://www.uie.com/events/uiconf/2012.
Venkatesh, V. & Davis, F. (2000), A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003), User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 425-447.
W3C(1999), HTML 4.01 specification, Retrieved from http://www.w3.org/TR/1999/REC-html401-19991224/types.html#h-6.13.
W3C(2001), Media queries , Retrieved from http://www.w3.org/TR/2001/WD-css3-mediaqueries-20010517.
W3C(2012), Media Queries, http://www.w3.org/TR/2012/REC-css3-mediaqueries-20120619/.
Watt, C. (2011), Mobile Web design and usability. California Polytechnic State University, Retrieved from http://digitalcommons.calpoly.edu/grcsp/53/.
Website Magazine (2013), Responsive design: Not so simple, Retrieved from http://www.websitemagazine.com/content/blogs/posts/archive/2013/01/31/responsive-design-not-so-simple.aspx.
West, J. & Mace, M. (2010), Browsing as the killer app: Explaining the rapid success of Apple's iPhone. Telecommunications Policy, 34(5), 270-286.
Zigurs, I., Buckland, B. K., Connolly, J. R., & Wilson, E. V. (1999), A test of task-technology fit theory for group support systems. ACM SIGMIS Database, 30(3-4), 34-50.
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