|
2003 Environmental Scan: Pattern Recognition. (2004). OCLC: http://www.oclc.org/reports/escan/downloads/escansummary_en.pdf 2.AdamsA., Nelson, R. R., and Todd, P. A.,D. (1992). Perceived Usefulness, Ease of Use and Usage of Information Technology. A Replication, MIS Quarterly, 16 (2), 227-247. 3.Agarwaland Prasad, J.R. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9 (2), 204-215. 4.Ajzenand Madden, T. J.I. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control,. Journal of Experimental Social Psychology, 22 (5), 453-474. 5.AjzenI. (1985). From intentions to actions: A theory of planned behavior,. Action-Control: From Cognition to Behavior, 11-39. 6.AjzenI. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (2), 179-211. 7.BarnettA.L. (1994). Playfulness: Definition, Design, and Measurement. Play and Culture (3), 319-336. 8.Bruner IIC. and Kumar, A.G. (2005). Explaining Consumer Acceptance of Handheld Internet Devices. Journal of Business Research, 58 (5), 553-558. 9.BusselleReagan, J., Pickleton, B., & Jackson, K.R.,. (1999). Factors affecting Internet use in a saturated-access population. Telematics and Information (16), 45-58. 10.ChenGillenson, M.L., & Sherell, D.L.L.D.,. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39 (8), 705-719. 11.College Students’Perceptions of Libraries and Information Resources. (2005). OCLC: http://www.oclc.org/reports/pdfs/studentperceptions.pdf 12.DavisBagozzi, R.P. and Warshaw, P.R.F.D.,. (1985). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8), 982-1003. 13.DavisD.F. (1989). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technologies,. MIS Quarterly, 13 (3), 319-340. 14.DavisD.F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13 (3), 319-339. 15.DavisD.F. (1993). User Acceptance of Information Technology: System Characteristics, User Perceptions, and Behavioral Impacts. International Journal of Man Machine Studies, 38 (3), 475-487. 16.DavisF.D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results”, Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology. 17.Fishbeinand Ajzen, I.M. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley. 18.Fishbeinand Ajzen, I.M. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley. 19.JacobsonB.T. (2011). Facebook as a library tool: perceived vs. actual use. College & Research Libraries, 72 (1), 79-90. 20.JavaSong, X., Finin, T., & Tseng, BA.,. (2007). Why we twitter: understanding microblogging usage and communities. Paper presented at the Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis. 21.KlineB.R. (1998). Principles and practice of structural equation modeling. New York:: Guilford Press. 22.LandisC. (2007). Social networking sites: Getting friendly with our users. College and Research Libraries News, 68 (11), 709-712. 23.LinA.C. (1998). Exploring personal computer adoption dynamics. Journal of Broadcasting & Electronic Media, 42 (1), 95-112. 24.MathiesonPeacock, E. and Chin, W. W.K.,. (2001). Extending the Technology Acceptance Model: The Influence of Perceived User Resources. The DATA BASE for Advances in Information Systems, 32 (3), 86-112. 25.MoonW. and Kim, Y. G.J. (2001). Extending the Tam for a World-wide-web Context,. Information and Management (38), 217-230. 26.MooreC. and Benbasat, I.G. (1991). Development of an instrument of measure the perceptions of adopting an information technology innovation. Information Systems Research, 2 (3), 192-222. 27.RogersM.E. (1983). Diffusion of Innovations. New York: Free Press. 28.RogersME. (1995). Diffusion of innovations. 29.SheppardH., Hartwick, J. and Warshaw, P. R.B. (1988). The Theory of Reasoned Action: A Meta- Analysis of Past Research with Recommendations for Modifications and Future Research,. Journal of Consumer Research, 15 (3), 325-343. 30.ShihH.P. (2004). Extended Technology Acceptance Model of Internet Utilization Behavior. Information & Management, 41 (6), 719-729. 31.SzajnaB. (1996). Empirical evaluation of the revised technology acceptance model. Management Science (42), 85-92. 32.Taylorand Todd, P. A.S. (1995). Understanding information technology usage: A test of competing models,. Information Systems Research, 6 (2), 144-176. 33.Taylorand Todd, P.S. (1995). Assessing IT Usage The Role of Prior Experience. MIS Quarterly (4), 561-571. 34.Van der HeijdenH. (2003). Factors Influencing the Usage of Websites: The Case of a Generic Portal in the Netherlands. Information & Management, 40 (6), 541-549. 35.WuH. and Wang, S. C.J. (2005). What Drives Mobile Commerce? An Empirical Evaluation of the Revised Technology Acceptance Model. Information & Management (42), 719-729. 36.ZabelD. (2005). Trends in Reference and Public Services Librarianship and the Role of RUSA. Reference & User Services Quarterly, 45 (1), 7-10. 37.翁秀琪. (1996). 大眾傳播理論與實證. 台北: 三民書局. 38.許凱玲. (2013). Google+擁3.43億會員成第二大社群網路,極力擺脫鬼城封號. 2013年01月28日 擷取自 http://www.bnext.com.tw/Article/view/cid/103/id/26315 39.陳建州. (2009). 噗浪玩出大生意. 臺北市: 時報文化. 40.黃正瑋. (2003). 以科技接受模型探討臺灣網際網路使用者對女性網站的認知與接受程度. 國立政治大學資訊管理研究所碩士論文. 41.黃宇寰. (2004). 影響行動電話上網服務採用之研究. 銘傳大學傳播管理研究所碩士論文. 臺北. 42.賈智仁. (2004). 結合創新理論與計劃行為理論以探討行動多媒體物件之採用. 國立暨南國際大學資訊管理研究所碩士論文. 43.鄭志中. (2011). 產品創新特性與消費者科技準備度對創新產品使用意願影響之研究–以Apple iPad為例. 國立臺北商業技術學院商學研究所碩士論文. 44.賴柏偉. (2002). 虛擬社群:一個想像共同體的形成—以線上角色扮演遊戲「網路創世紀」為例。. 世新大學傳播研究所碩士論文. 45.顏士能. (2007). 消費者 3G 行動加值服務採用行為之研究. 國立高雄大學經濟管理研究所碩士論文. 46.藝立協. (2003). BLOG 部落格線上出版、網路日誌實作。. 臺北: 上奇科技.
|