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姓名 吳世舜(Shih-shun Wu)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 網路團體購物之使用者行為分析
(The Behavioral Analysis of Online Group-Buying User)
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摘要(中) 網路團體購物是指使用者透過網路媒介,並藉由網路的特性,突破時間與空間的限制,與社會大眾一起進行購物的團體行為。在過去,網路團購一直都是以經濟實惠的特性吸引社會大眾注意;然而,隨著時代背景的不同以及總體經濟環境的改善,對於使用者而言,經濟實惠的訴求已不再是首選,但儘管如此網路團購的議題卻持續發酵增溫,絲毫沒有衰退。因此為了能更進一步了解網路團購的發展與前景,本研究以網路團購使用者作為主要研究對象並初步探究網路團購使用者的使用意圖與行為,以深入了解使用者採用網路團購的各類影響因素,希望未來能藉此研究提供學術上與實務上有價值之建議。本研究認為網路團購網站可視為未來社群電子商務的先驅。因此以整合性科技接受模式為基礎,加入「認知風險」、「社交性」與「知覺有趣性」為直接影響使用意圖之構面;另外透過「從眾影響」以及「性別」為調節變項,希望藉此找出「網路團購使用意圖」對「網路團購使用行為」之間的相關性。本研究是使用SPSS 12.0 for Windows與LISREL 8.54進行相關統計分析並透過結構方程模式針對資料進行驗證,相關結果如下:「績效期望」、「努力期望」、「社會影響」、「社交性」對「網路團購使用意圖」有正向且顯著影響。「認知風險」與「知覺有趣性」對「使用意圖」沒有顯著影響。「促成環境」與「使用意圖」對「使用行為」沒有顯著影響。
摘要(英) Online group buying means that user can shop with social community without any time and space restriction and via the internet effect, the efficiency and the efficient of group buying can also be multiplex. The economy scale is the most interesting way that online group buying could appeal to the user involved in it. However, the age of time always change and the whole environment also been improve. We think the way user decides to make an online group buying will be different. In Taiwan, Online group buying is a hot issue no matter in the academia or business world. In order to know the whole traces and factors of online group buying in depth, we conduct a research on the user who had an experience of attending the online group buying group in Taiwan. For the purpose of this research, we hope we can promote a valuable advice and conclusion helping the development of E-commerce.Our research method is based on the UTAUT(Unified Theory of Acceptance and Use of Technology) model and add “Perceived risk”, “Sociability” and “Perceived Playfulness” as a direct influence construct on “intention to use”;Furthermore, we modify the original moderators and bring up an idea that “Conformity influence” and “Gender” will moderate the relationship between “intention to use” and “user behavior”. In the test and analysis part, we use SPSS 12.0 for Windows and LISREL 8.54 arrange the data we collected and using SEM (Structural Equation Modeling) verify the data. The result showing below:“Performance expectancy”, “Effort Expectancy”, “Social influence” and “sociability” has an positive influence on “Intention to use”;“Perceived risk”, “Perceived Playfulness”, “Facilitating condition”, “Conformity influence” and “Gender” doesn’t attain any statistically support
關鍵字(中) ★ 網路團購
★ 電子商務
★ 虛擬社群
★ 社交性
★ 從眾影響
★ 整合性科技接受模式
關鍵字(英) ★ Online Group buying
★ Web2.0
★ E-commerce
★ Virtual community
★ Sociability
★ Conformity influence
★ UTAUT
論文目次 目 錄
第一章 緒論 1
第一節 研究背景與動機 3
第二節 研究問題 4
第三節 研究架構與流程 5
第二章 文獻探討 6
第一節 網路團體購物 6
第二節 虛擬社群與社交性 11
第三節 從眾影響 17
第四節 知覺有趣性 20
第五節 認知風險 22
第六節 科技接受模式文獻探討 24
第七節 整合性科技接受模式 31
第三章 研究方法 34
第一節 研究架構 34
第二節 研究假說 35
第三節 變數之操作型定義與衡量 39
第四節 問卷設計與資料蒐集分析方法 44
第四章 資料分析 46
第一節 資料前測分析 46
第二節 樣本結構分析 50
第三節 信度與效度分析 53
第四節 結構方程模式分析 55
第五章 研究結論與建議 62
第一節 研究結論 62
第二節 研究貢獻與研究限制 64
第三節 未來發展方向 66
參考文獻 67
附錄 研究正式問卷 72
參考文獻 [1] Abdul-Rahman, A., & Hailes, S. (2000). Supporting trust in virtual communities. HICSS '00: Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6, 6007.
[2] Ajzen, I. (1985). In Kuhl J., Beckman J. (Eds.), From intentions to actions: A theory of planned behavior. New York: Springer Verlag.
[3] Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50, 179-211.
[4] Akaah, I. P., & Korgaonkar, P. K. (1988). A conjoint investigation of the relative importance of risk relievers in direct marketing. Journal of Advertising Research, 28(4), 38-44.
[5] Aldler, P. R., & Christopher, J. A. (1998). Internet community primer: Overview and business opportunities. Internet Community Primer.
[6] Allen, V. L. (1965). Situational factors in conformity. In Leonard Berkowitz (Ed.), Advances in experimental social psychology Academic Press, 133-175.
[7] Armstrong, A. G., & Hagel Ⅲ J. (1996). The real value of on-line communities. Harvard Business Review, 74(3), 134-141.
[8] Asch, S. E., & Others. (1951). Effects of group pressure upon the modification and distortion of judgments. Groups, Leadership, and Men, 177-190.
[9] Asch, S. E. (1956). Studies of independence and conformity: A minority of one against a unanimous majority. Psychological Monographs, 70(9), 1-70.
[10] Atkinson, M., & Kydd, C. (1997). Individual characteristics associated with world wide web use: An empirical study of playfulness and motivation. SIGMIS Database, 28(2), 53-62.
[11] Balasubramanian, S., & Mahajan, V. (2001). The economic leverage of the virtual community. International Journal of Electronic Commerce, 5(3), 103-138.
[12] Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147.
[13] Barnett, L. A. (1991), The playful child: measurement of a disposition to play. Play and Culture, 4(1), pp.51-74.
[14] Bettman, J. R. (1973). Perceived risk and its components: A model and empirical test. Journal of Marketing Research (JMR), 10(2), 184-190.
[15] Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and internet shopping behavior. Commun.ACM, 43(11), 98-105.
[16] Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence on buyer behavior. Journal of Consumer Research, 2(3), 206-215.
[17] Carver, C. (1999). Building a virtual community for a tele-learning environment. IEEE Communications Magzine, 37(3), 114-118.
[18] Cerulo, K., Ruane, J., & Chayko, M. (1992). Technological ties that bind: Media generated primary groups. Communication Research, 19, 109-129.
[19] Chung, J., & Tan, F. B. (2004). Antecedents of perceived playfulness: An exploratory study on user acceptance of general information-searching websites. Information & Management, 41(7), 869-881.
[20] Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with Computers, 19(1), 43-56.
[21] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003.
[22] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
[23] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user accep. MIS Quarterly, 13(3), 319.
[24] Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. Journal of Abnormal and Social Psychology, 51(3), 629-636.
[25] Dodge, J. (2000). Strength in numbers? Inc., 22(13), 135.
[26] Douglas, R. B. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy & Rhetoric, 10(2), 130-132.
[27] Ducheneaut, N., & Moore, R. J. (2004). The social side of gaming: A study of interaction patterns in a massively multiplayer online game. CSCW '04: Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work, Chicago, Illinois, USA. 360-369.
[28] Ducheneaut, N., Moore, R. J., & Nickell, E. (2007). Virtual “Third places”: A case study of sociability in massively multiplayer games. Computer Supported Cooperative Work: The Journal of Collaborative Computing, 16(1), 129-166.
[29] Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
[30] Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32(6), 407-424.
[31] Hair, Jr. R., Anderson, R.E., Tatham, R.L., and Black, W.C. (1998), Multivariate Data Analysis, 5th Edition. Macmillan, New York.
[32] Heeter, C. (1992). Being there: The subjective experience of presence. Presence: Teleoper.Virtual Environ., 1(2), 262-271.
[33] Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A motivational model of microcomputer usage. J.Manage.Inf.Syst., 13(1), 127-143.
[34] Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), 1-33.
[35] Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (1974). Components of perceived risk in product purchase: A cross-validation. Journal of Applied Psychology, 59(3), 287-291.
[36] Kauffman, R. J., & Wang, B. (2001). New buyers' arrival under dynamic pricing market microstructure: The case of group-buying discounts on the internet. Journal of Management Information Systems, 18(2), 157-188.
[37] Koh, J., & Kim, Y. G. (2004). Knowledge sharing in virtual communities: An E-business perspective. Expert Systems with Applications, 26, 155-166.
[38] Kwok, J. S. H., & Gao, S. (2004). Knowledge sharing community in P2P network: A study of motivational perspective. Journal of Knowledge Management, 8(1), 94.
[39] Lai, H. (2002). Collective Bargaining Models on e-Marketplace. International Conference on Advances in Infrastructure for e-Business, e-Education, e-Science, e-Medicine on the Internet, L'Aquila, Italy.
[40] Lascu, D., & Zinkhan, G. (1999). Consumer conformity: Review and applications for marketing theory and practice. Journal of Marketing Theory & Practice, 7(3), 1.
[41] Lee, F. S., Vogel, D., & Limayem, M. (2003). Virtual community informatics: A review and research agenda. Journal of Information Technology Theory and Application, 5(1), 47-61.
[42] Lieberman, Alicia F., Mary C. Blehar, and Mary D. Salter Ainsworth (1977), Early Face-to-Face interaction and Its Relation to Later Infant-Mother Attachment, Society for Research in Child Development, 48, 182-194.
[43] Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Inf.Manage., 42(5), 683-693.
[44] Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333-369.
[45] Mangleburg, T. F., Doney, P. M. and Bristol, T. (2004). Shopping with friends and teens’ susceptibility to peer influence. Journal of Retailing, 80(2), 101-116.
[46] Martocchio, J. J., & Webster, J. (1992). Effects of feedback and cognitive playfulness on performance in microcomputer software training. Personnel Psychology, 45(3), 553-578.
[47] Moon, J., & Kim, Y. (2001). Extending the TAM for a world-wide-web context. Inf.Manage., 38(4), 217-230.
[48] Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
[49] Preece, J. (2001). Sociability and usability in online communities: Determining and measuring success. Behaviour & Information Technology, 20(5), 347-356.
[50] Preece, J. (2001). Sociability and usability in online communities: Determining and measuring success. Behaviour & Information Technology, 20(5), 347-356.
[51] Ramus K. and Nielsen, N.A. (2005). Online Grocery Retailing: What Do Consumers Think? Internet Research,15(3), 335-352.
[52] Rheingold, H. (1993). Virtual community: Homesteading on the electronic frontier Addison-Wesley.
[53] Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, 11, 271-295.
[54] Romm, C., Pliskin, N., & Clarke, R. (1997). Virtual communities and society: Toward an integrative three phase model. International Journal of Information Management, 17(4), 261-270.
[55] Roselius, R. (1971). Consumer rankings of risk reduction methods. Journal of Marketing, 35(1), 56-61.
[56] Simmel, G., & Hughes, E. C. (1949). The sociology of sociability. The American Journal of Sociology, 55(3), 254-261.
[57] Swaminathan, Vanitha, Elzbieta Lepkowska-White, and Bharat P. Rao (1999). Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange. Journal of Computer-Mediated Communication, 5(2), 4-25.
[58] Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570.
[59] Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137.
[60] Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
[61] Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.
[62] Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior, in nebraska symposium on motivation. NE: University of Nebraska Press. 195-259.
[63] Tsvetovat, M., & Sycara, K. (2000). Customer coalitions in the electronic marketplace. AGENTS '00: Proceedings of the Fourth International Conference on Autonomous Agents, Barcelona, Spain. 263-264.
[64] Venkatesh, V., & Morris, M. G. C. (2000). Why don't men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115-137.
[65] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186.
[66] 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), 425-478.
[67] Webster, J., Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411-426.
[68] Wellman, B. (1996). Computer networks as social networks: Collaborative work, telework and virtual commnuity. Annual Review of Sociology, 22, 211-238.
[69] Woodside, A. G. (1972). Informal group influence on risk taking. Journal of Marketing Research, 9(2), 223-225.
[70] Yamamoto, J., & Sycara, K. (2001). A stable and efficient buyer coalition formation scheme for e-marketplaces. AGENTS '01: Proceedings of the Fifth International Conference on Autonomous Agents, Montreal, Quebec, Canada. 576-583.
[71] 蕭文龍,「多變量分析最佳入門實用書」,碁峰圖書,民96年
[72] 黃威智,影響個人在虛擬社群環境中知識分享因素之探討,國立中央大學資訊管理研究所
[73] 王玫晴,線上合購之消費者價值認知結構,國立成功大學國際企業研究所碩士論文
指導教授 粟四維(Wesley Shu) 審核日期 2010-7-26
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