參考文獻 |
中文部分
[1] 資策會FIND卅經濟部技術處「科技化服務價值鏈研究與推動計畫」
[2] 蔡瑤昇、呂文琴、高國書、郭宗麟,「網路口碑特性與電影票房銷售之動態關係研究」,中華管理評論國際學報,第十四卷四期,民國100年11月。
[3] 殷健翔,「網路口碑對線上應用程式的購買意圖之影響-以Apple App Store為例」,國立中央大學,碩士論文,民國99年。
[4] 吳淑鶯、陳瑞和,「計畫行為理論應用於網路書店購買行為之研究」,中華管理評論國際學報,第9卷4期,民國95年12月。
[5] 莊煥銘、王淑娟,「資訊系統採用行為意向之研究-以某大學為例」,商管科技季刊,第四卷第三期,民國92年。
[6] 葉美春、阮明淑,「使用者採用知識管理系統之影響因素研究-理論模型的比較取向」,圖書資訊學刊,第5卷第1/2期,民國96年。
[7] 張愛華、蕭丞傑,「行動服務之再使用意願:一項整合模式之檢驗」,輔仁管理評論,第十七卷第二期,69-94頁,民國99年5月。
[8] 張書勳、錢玉芬、林于新,「以科技接受整合模式探討消費者使用購物網站之行為意圖」,數位創世紀學術實務國際研討會,民國98年。
[9] 余泰魁、李能慧,「台灣地區北部民眾對金門旅遊滿意度模式之建構與實證」,戶外遊憩研究,第十四卷第四期,51-76,民國90年。
[10] 余泰魁、李能慧、吳桂森,「金門觀光客旅遊行為意向實證研究-線性結構模式之交叉效度驗證」,觀光研究學報,11(4),355-384頁,民國94年。
網頁部分
[1] 148apps.biz.:http://148apps.biz/
[2] AndroLib.:http://www.androlib.com/
[3] ABI、Fiksu:http://thenextweb.com/
[4] http://zh.wikipedia.org/
[5] http://www.epochtimes.com/
[6] http://tw.tech.yahoo.com/mobile_app/
[7] http://www.apple.com/
[8] Nielson:http://www.digitaltrends.com/
[9] Xyologic:http://www.hk-android.info/
英文部分
[1] Ahn, T., Ryu, S. & Han, I., “The impact of Web quality and playfulness on user acceptance of online retailing” Information & Management 44, pp.263-275, 2007.
[2] Ajzen, I. and Madden, T. J., “Prediction of Goal-directed Behavior:Attitudes, Intentions, and Perceived Behavioral Control”,Journal of Experimental Social Psychology, Vol.22, No.6, pp.453-474, 1985.
[3] Ajzen, I. Attitudes, personality, and behavior, Chicago: Dorsey Press,1988.
[4] Ajzen, I., "Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior”, Journal of Applied Social Psychology, 32, 4, pp. 665-683 ,2002.
[5] Ajzen, I., “From intentions to actions:a theory of planned behavior,”in Action Control from Cognition to Behavior, Kuhl Julius and Bechmann Jurgen, pp.11-39., 1985.
[6] Ajzen, I., “The Theory of Planned Behavior”, Organizational Behavior and Human Decision Processes,50, pp. 179-211 ,1991.
[7] Argo, J. J., Dahl, D. W., & Morales, A. C.,” Positive consumer contagion: responses to attractive others in a retail context.” ,Journal of Marketing Research, 45(6), pp.690-701. ,2008.
[8] Asch, S. E., “Effect of group pressure upon the modification and distortion of Judgments.” Journal of Marketing Research, 16, pp.394-400. ,1951.
[9] Asch, S. E., Social Psychology, New York: Prentice-hall.,1952.
[10] Asch, S. E.,“Studies of Independence and Conformity: A Majority of One against a Unanimous Majority.” Psychological Monographs,pp.70-79 ,1956.
[11] Bandura A.,” Self-efficacy mechanism in human agency”, The American Psychologist, 37(2),pp. 122 – 147,1982.
[12] Bandura, A.,“Self-efficacy: Toward a unifying theory of behavioral change” Psychological Review, Vol. 84, No. 2., pp. 191-215, March 1977.
[13] Bansal, H. S., & Voyer, P. A.. “World-of-mouth processes within services purchase decision context.” Journal of Service Research, 3(2), pp.166-177., 2000.
[14] Basuroy, S., Chatterjee, S., & Ravid, S. A. “How critical are critical reviews? The box office effects of film critics, star power, and budgets.” Journal of Marketing, 67(4), pp.103-117, 2003.
[15] Bearden, W. O., Netemeyer, R. G. & Teel, J. E., “Measurement of Consumer Susceptibility to Interpersonal Influence” Journal of Consumer Research, Vol. 15, No. 4, pp. 473-481, March 1989.
[16] Bellman, S., Potter, R. F., Hassard, S.T., Robinson, J. A. & Varan, D., ” The Effectiveness of Branded Mobile Phone Apps”, Journal of Interactive Marketing 25, pp.191–200, 2011.
[17] Bickart, B., & Schindler, R. M. “Internet forums as influential sources of consumer information.” Journal of Interactive Marketing, 15(3), 31-40, 2001.
[18] Burnkrant, R. E. & Page Jr., T. J., ” The structure and antecedents of the normative and attitudinal components of Fishbein’’s theory of reasoned action”, Journal of Experimental Social Psychology, Volume 24, Issue 1, pp.66–87 , January 1988.
[19] Chen, P. Y., Wu, S. Y., & Yoon, J. S. “The impact of online recommendations and consumer feedback on sales.” ICIS 2004 Proceedings, 58. , 2004.
[20] Chevalier, J. A., & Mayzlin, D. “The effect of word of mouth on sales: online book reviews.” Journal of Marketing Research, 43(3), pp.345-354., 2006.
[21] Davis, F. D., ”Perceived Usefulness, Perceived Ease of Use, and User Acceptance of information Technology,” MIS Quarterly, pp.319-339, 13, September 1989.
[22] Davis, Bagozzi, R. P. & Warshaw, P. R. “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, 35, pp.982-1003, Augest 1989.
[23] Deam, M., Raats, M. M. & Shepherd, R., ” The Role of Self-Identity, Past Behavior, and Their Interaction in Predicting Intention to Purchase Fresh and Processed Organic Food1”, Journal of Applied Social Psychology, 42, 3, pp.669-688, 2012.
[24] Deci, E. L., “Intrinsic motivation, extrinsic reinforcement”, Journal of Personality and social psychology, 22, 113-120, 1972.
[25] Deci, E. L. & Ryan, R. M., Intrinsic motivation and self-determination in human behavior, Plenum, 1985.
[26] Evanschitzky, H., Iyer, G.R., Hesse, J. & Ahlert, D., “E-Satisfaction: A Re-Examination,” Journal of Retailing, Vol. 80, No. 3, 239-247, 2004.
[27] Godes, D.,& Mayzlin, D. “Using online conversations to study word-of-mouth communication.” Marketing Science, 23(4), pp.545–560., 2004.
[28] Gremler, D. D., Gwinner, K. P., & Brown, S. W. “Generating positive word-of-mouth communication through customer-employee relationships.” International Journal of Service Industry Management, 12(1), pp.44-59., 2001.
[29] Hong, S. J., Thong, Y. L., Moon, J. Y. & Tam, K. Y., ”Understanding the behavior of mobile data services consumers”, Inf Syst Front, 10, pp.431-445, 2008.
[30] Hsu, C.L.& Lu, H.P.,“Why do people play on-line games? An extended TAM with social influences and flow experience” Information& Management, 41 853-868, 2004.
[31] Hsu, M.H. & Chiu, C. M., ” Predicting electronic service continuance with a decomposed theory of planned behaviour” Behaviour & Information Technology, September–October, Vol. 23, No. 5, pp.359–373, 2004.
[32] Kim, S., & Pysarchik, D. T. “Predicting purchase intentions for uni-national and bi-national products.” International Journal of Retail & Distribution Management, 28(6), pp.280-291., 2000.
[33] Koufaris, M. “Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior,” Information Systems Research, Vol. 13, No. 2, pp.205-223, 2002.
[34] Lascu, D., & Zinkhan, G. M. “Consumer conformity: review and applications for marketing theory and practice.” Journal of Marketing Theory and Practice, 7(3), pp.1-12, 1999.
[35] Lee, J., Park, D. H., & Han, I. “The effect of negative online consumer reviews on product attitude: An information processing view.” Electronic Commerce Research and Applications, 7(3), pp.341-352., 2008.
[36] Lin, H. F., ” Applicability of the Extended Theory of Planned Behavior in Predicting Job Seeker Intentions to Use Job-Search Websites ” International Journal of Selection and Assessment, Volume 18 Number 1, March 2010.
[37] Ling, R. & Yttri, B ,”Control, emancipation, and status: The mobile telephone in teens’ parental and peer relationship.” In R. Kraut, M. Brynin, & S. Kiesler (Eds.), Computer, phones, and the Internet: Domesticating information technology, pp. 219-234, New York, NY: Oxford University, 2006.
[38] Lu, Y., Zhou, T., & Wang, B. “Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory.” Computers in Human Behavior, 25 (1), pp.29–39., 2009.
[39] Tan, M. & Teo, T. S. H., “Factors Influencing the Adoption of Internet Banking”, Journal of the Association for Information Systems, Volume 1, Article 5 , 2000.
[40] Mathieson, K. “Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,” Information Systems Research (2:3), pp.173-191., 1991.
[41] Moon, J.W. & Kim, Y. G.,“Extending the TAM for a World-Wide-Web context”, Information & Management 38, pp.217-230, 2001.
[42] Moore, G. C. & Benbasat, I.“Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation”, Information Systems Research, vol. 2 no. 3, pp.192-222 , September 1991.
[43] Nysveen, H., Pedersen, P. E., & Thorbjornsen, H., "Intentions to Use Mobile services: Antecedents and Cross-Service Comparisons", Journal of the Academy of Marketing Science, Vol. 33(3), pp. 330-346., 2005.
[44] Pavlou, P. A. & Fygenson, M., ” Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory ofPlanned Behavior”, MIS Quarterly, Vol. 30, No. 1 , pp. 115-143 , March 2006.
[45] Pollach, I. “Electronic word-of-mouth: A genre analysis of product reviews on consumer opinion web sites. “Proceedings of the 39th Hawaii International Conference on System Sciences, 51.3., 2006.
[46] Rook, D. W. & Fisher, R. J., “Normative Influences on Impulsive Buying Behavior” Journal of Consumer Research, Vol. 22, No. 3, pp. 305-313, December 1995.
[47] Shih, Y. Y. & Fang, K., ” The use of a decomposed theory of planned behavior to study Internet banking inTaiwan”, Internet Research,Volume 14,Number 3, pp.213–223, 2004.
[48] Tarasewich, P., Nickerson, R. C. & Warkentin, M., ”Issues in Mobile E-Commerce” , Communications of the Association for Information Systems, Volume 8, pp. 41-64, 2002.
[49] Taylor, S., & Todd, P. A., “Understanding information technology usage: A test of competing models.” Information Systems Research, 6(2), pp.144-176., 1995.
[50] Thurasamy, R., Rouibah, K. & May, O. S., ” User acceptance of internet banking in Malaysia: test of three Competing Models” , International Journal of E-Adoption, Volume 1, Issue 1, 2009.
[51] Watson, R. T., Berthon, P., Pitt, L. F. & Zinkhan, G. M., “Electronic Commerce:The Strategic Perspective.” Fort Worth, TX: Dryden, 2000.
[52] Wu, J & Liu, D., “The Effects of Trust and Enjoyment on Intention to Play Online Games “, Journal of Electronic Commerce Research, Vol. 8 No. 2, pp. 128-140., 2007.
[53] Zou, P., Yu, B. & Hao, Y., ” Does the Valence of Online Consumer Reviews matter for Consumer Decision Making? The Moderating Role of Consumer Expertise”, Journal of Computers, Vol. 6, No. 3, March 2011.
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