研究生: |
梁欣瑋 Liang, Hsin-Wei |
---|---|
論文名稱: |
探討消費者使用團購網站之行為 The Research of Consumer's Behavior of Online Group Buying |
指導教授: |
蘇友珊
Su, Yu-Shan |
學位類別: |
碩士 Master |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 104 |
中文關鍵詞: | 享樂價值 、關鍵多數 、網路口碑 、團購網站 |
英文關鍵詞: | Online Group, Buying Websites |
DOI URL: | https://doi.org/10.6345/NTNU202204934 |
論文種類: | 學術論文 |
相關次數: | 點閱:175 下載:13 |
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近年來電子商務平台的蓬勃發展,使網路購物的人數日漸增長。而在眾多團 購網站激烈的競爭之下,團購網站勢必得提升網站之品質,以及探討網站的內容 如何滿足瀏覽者不同的體驗與感受,以滿足使用者的需求。
本研究以享樂價值模型、社會影響作為理論基礎,主要在探討價值因素、社 會影響層面對消費者使用網站感受到的整體價值之影響,以及整體價值對未來持 續使用、正面口碑行銷之影響。研究對象為台灣地區曾經使用過團購網站之使用 者,並於 MySurvey 問卷平台以及紙本方式來蒐集樣本。回收了 200 份問卷作為 預試的樣本,接著再發放正是問卷,共回收 613 份有效問卷,有效問卷回收率為 94.1%。並利用結構方程模式去驗證假說內容,以 SPSS20.0 及 AMOS21.0 為本 研究應用分析工具。主要研究結果概述如下: (1)價值因素中,除了社交性以外,使用程度、網站品質、視覺呈現皆會正向顯
著影響團購網站之整體價值 (2)關鍵多數、網路口碑皆會正向顯著影響團購網站之整體價值 (3)團購網站之整體價值會正向顯著影響對未來持續使用、正面口碑行銷 (4)在各個影響因素中,其中以使用程度對消費者使用團購網站感受到的整體價
值最為明顯。 (5)網路口碑對未來持續使用與正面口碑行銷的影響程度遠達大於其他因素。
In the e-commerce platform boom, there were more and more online buyers. Competing with many other online buying websites, each and every website must enhance quality of website and study how web contents satisfied viewers' diverse experience and feelings in order to meet users' needs.
Based on hedonic value model and social influence, the purpose of this study was to explore the impacts value factor and social influence had on overall value that the website brought to users and also to find out the effects overall value put on behavioral intentions to use in future and behavioral intentions to positive word-of-mouth. We then collected 613 valid questionnaires, which made 94.1% of response rate. The structural equation models (SEM) were applied to test the proposed hypothesis and SPSS20.0 and AMOS21.0 were used for data analysis. The findings were as below: (1) Except social value, usage rate, quality of website and visual appeal value all had significant, positive effects on overall value of online group buying websites. (2) Both of critical mass and electronic word-of-mouth had significant, positive impacts on overall value of online group buying websites. (3) Overall value of online group buying websites put significant, positive effects on behavioral intentions to use in future and behavioral intentions to positive word-of-mouth. (4) Among all the factors, usage rate had the most significant, positive impacts on overall value of online group buying websites. (5) Electronic word-of-mouth has much more effects than any other factors on behavioral intentions to use in future and behavioral intentions to positive word-of-mouth.
中文文獻
邱顯傑(2008)。網路集購價值之成因分析:消費者知覺取向(未出版之碩士論文)。東吳大學,台北市。
張宏裕(2013)。以消費價值觀點探討O2O模式之使用意願-以Homeplus虛擬商店為例(未出版之碩士論文)。大同大學,台北市。
李依珊(2009)。影響消費者進行線上合購行為之因素研究(未出版之碩士論文)。中原大學,中壢市。
林正弘(2006)。主購信任度與認知風險對線上集購行為影響之研究(未出版之碩士論文)。國立中山大學,高雄市。
陳儷今(2003)。影響拍賣網站競標者購物行為之因素探討—以Yahoo!奇摩拍賣網站為例(未出版之碩士論文),南華大學,嘉義市。
資策會(2013)「國際新趨勢–O2O市場快速成長」。財團法人資訊工業策進會。
資策會(2013)中華民國電子商務年鑑。財團法人資訊工業策進會。
莊隆泰(2000)群體採購中間商系統之研究(未出版之碩士論文)。國立中山大學資訊管理,高雄市。
徐明瑋(2005)集體購物定價策略與競爭環境對加入意圖之影響(未出版之碩士論文)。國立中山大學,高雄市。
黃婉如(2010)影響集體購買游泳票劵因素之研究(未出版之碩士論文)。亞洲大學,台中市。
潘昱彤(2011)。B2C網路合購口碑內容之研究 ─以留言版為例(未出版之碩士論文)。國立臺灣科技大學,台北市。
楊惠琴(2006)。網絡合購知覺風險與合購意向影響因素之研究(未出版之碩士論文)。東吳大學,台北市。
張宇超(2011)。團購商業模式分析-以ihergo.com 為例(未出版之碩士論文)。國立交通大學,新竹市。
劉俐伶(2011)。電子商務平台團購行為合作對象之選擇策略(未出版之碩士論文)。美國基督教効力會基督書院,台北市。
創世紀(2010)。創世際月刊十一月報告書,第五頁。
倪寧(2012)。中國當下的團購網站成敗因素分析研究-以淘寶聚划算為例。江蘇評論。
蔡惠靜(2011)。從服務品質與知覺風險觀點探討合購價值對滿意度之影響-以傳統合購為例(未出版之碩士論文)。南台科技大學,臺南市。
謝政益(2003)。網路電話接受度之研究(未出版之碩士論文)。臺灣科技大學,台北市。
陳珮瑩 ,(2005)。網站視覺設計評量模式之研究(未出版之碩士論文)。銘傳大學設計管理研究所,台北市。
裘錦天、陳昱錕 (2012)。應用社群媒合買賣的交易系統之探討(未出版之碩士論文)。第八屆知識社群國際研討會,6月。
行政院研究發展考核委員會 (2012),101年臺灣數位機會發展現況。101年臺灣數位機會發展現況手冊。台北:行政院。
盧惠芬(2010)。結合從眾行為探討影響網路團購購買意願因素(未出版之碩士論文)。中原大學國際貿易系,中壢市。
王皓瑋(2012)。以推敲可能性模式探討產品資訊品質與網路口碑對團購購買意圖之影響(未出版之碩士論文)。銘傳大學傳播管理學系,台北市。
李慶長、張銀益、蔡聰源、陳主慶、胡俊之(2011)。影音分享網站之享樂價值模型研究(未出版之碩士論文)。北商學報,台北市。
英文文獻
Anand, K. S., & Aron, R. (2003). Group buying on the web: A comparison of price-discovery mechanisms. Management Science, 49(11), 1546-1562.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
Aladwani, A. M., & Palvia, P. C. (2002). Developing and validating an instrument for measuring user-perceived web quality. Information & management, 39(6), 467-476.
Babin, B.J., William, R.D, Mitch, G. (1994). “Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value” Journal of Consumer Research, 20(4), 644-656.
Bagozzi, R. P., & Yi, Y. (1990). Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. Journal of Applied Psychology, 75(5), 547.
Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA:Multivariate Software.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588.
Bhattacherjee. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370.
Bollen, K. A., & Stine, R. A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods & Research, 21(2), 205-229.
Boomsma, A. (1982). The robustness of LISREL against small sample sizes in factor analysis models. Management, 39(6), 467-476.
Brown, D. M., Kaiser, P. K., Michels, M., Soubrane, G., Heier, J. S., Kim, R. Y., ... & Schneider, S. (2006). Ranibizumab versus verteporfin for neovascular age-related macular degeneration. New England Journal of Medicine, 355(14), 1432-1444.
Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing. Journal of Strategic Marketing, 6(3), 241–254.
Byrne, M., Soars, N. A., Ho, M. A., Wong, E., McElroy, D., Selvakumaraswamy, P., ... & Davis, A. R. (2010). Fertilization in a suite of coastal marine invertebrates from SE Australia is robust to near-future ocean warming and acidification. Marine Biology, 157(9), 2061-2069.
Chandon,P., Wansibk, B., and Laurent, G. (2000). “A Benefit Congruency Framework of Sales Promotion Effectiveness” Journal of Marketing. 64(4), 65-81.
Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior. International Journal of Information Management, 33(1), 185-198.
Chen, Jian, Xilong Chen, Robert J. Kauffman, and Xiping Song (2009), “Should We Collude? Analyzing the Benefits of Bidder Cooperation in Online Group-buying Auctions,” Electronic Commerce Research and Applications, 8 (4), 191-202.
Chen, Jian, Robert J. Kauffman, Yunhui Liu, and Xiping Song (2010), “Segmenting Uncertain Demand in Group-buying Auctions,” Electronic Commerce Research and Applications, 9 (2), 126-147.
Cureton, E. E. (1957). The upper and lower twenty-seven per cent rule. Psychometrika, 22(3), 293-296.
Delone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47.
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
Dodge, J. (1999). Two Web Sites let consumers join forces for lower prices. Wall Street Journal, 20(1), 11-14.
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 9(1), 453-461.
Fan, X., Thompson, B., & Wang, L. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 56-83.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 22(4), 382-388.
Gelb, B. D., & Sundaram, S. (2002). Adapting to word of mouse. Business Horizons, 45(4), 21-25.
Hair, J. F., Anderson, R. E., Tatham, R. L., & William, C. (1998). Black Structure, Multivariate data analysis, 23(4), 32-115.
Hennig-Thurau T., Gwinner K. P. and Gremler, D. D. (2002). Understanding Relationship Marketing Outcomes: An Integration of Relational Benefits and Relationship Quality. Journal of Service Research, 4(3), 230-247.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-53.
Hirschman, E. C. & Holbrook, M. B.(1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(2), 92-101.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. The Journal of Marketing, 2(1), 50-68.
Holt, D. B. (1995). How consumers consume: A typology of consumption practices. Journal of consumer research, 22(1), 1-16.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
Ilie, V., Van Slyke, C., Green, G., & Hao, L. (2005). Gender differences in perceptions and use of communication technologies: A diffusion of innovation approach. Information Resources Management Journal, 18(3), 13.
Jiang, Z., Wang, W., & Benbasat, I. (2005). Multimedia-based interactive advising technology for online consumer decision support. Communications of the ACM, 48(9), 92-98.
Kauffman, Robert J., Hsiangchu Lai, and Chao Tsung Ho (2010), “Incentive Mechanisms, Fairness and Participation in Online Group-buying Auctions, Electronic Commerce Research and Applications. 9 (3), 249-262.
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.
Karahanna, E. (2005). The development of a shared CIO/executive management understanding and its impact on information systems strategic alignment. Information Systems Control Journal, 3(21), 22.
Karahanna, E., Agarwal, R., & Angst, C. M. (2006). Reconceptualizing compatibility beliefs in technology acceptance research. MIS Quarterly, 6(4), 781-804.
Kelley, T. L. (1939). The selection of upper and lower groups for the validation of test items. Journal of Educational Psychology, 30(1), 17.
Kozinets, R. V. (2002). The field behind the screen: Using netnography for marketing research in online communities. Journal of marketing research. 39(1), 61-72.
Lai, Hsiangchu, Hersen Doong, & Chenyuan Yang (2006), “The Effect of Price Dispersion in an e-Market on Consumers’ Intentions to Join Group-Buying,” The 39th Hawaii International Conference on System Sciences, 39(1), 1-10.
Lacher, K. T. and Mizerski, R. (1994), An Exploratory Study of the Responses and Relationships Involved in the Evaluation of, and in the Intention to Purchase New Rock Music, Journal of Consumer Research, 21(2), 366-380.
Lee, E.J., & Overby, J.W. (2004). Creating value for online shoppers: Implications for satisfaction and loyalty. Journal of Consumer Satisfaction, 17, 54-67
Li, C., Chawla, S., Rajan, U., & Sycara, K. (2004). Mechanism design for coalition formation and cost sharing in group-buying markets. Electronic Commerce Research and Applications, 3(4), 341-354.
Liu, C., & Arnett, K. P.(2000). Exploring the factors associated with Web site successs in the context of electronic commerce. Information and Management, 38(1), 23-33.
Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware acceptance. European Journal of Information Systems, 9(2), 91-103.
MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual review of psychology, 51(1), 201-226.
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130.
McHugh, J. (1999). Consumer collusion. Forbes, 164(5), 222-223.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
Oliver, P., Marwell, G., & Teixeira, R. (1985). A theory of the critical mass. I. Interdependence, group heterogeneity, and the production of collective action. American journal of Sociology. 2(1), 522-556.
Phillips, C., & Chaparro, B. (2009). Visual appeal vs. usability: which one influences user perceptions of a website more. Usability News, 11(2), 1-9.
Pitt, L.F., Berthon, P. Watson, R.T., and Zinkhan, G.M., (2002). ”The Internet and the birth of real consumer power,” Business Horizons, 45(4), 7-14.
Reichheld, F. P., & Sasser, W. E. (1990). Zero defeciions: Quoliiy comes to services. Harvard business review, 68(5), 105-111.
Rha, J. Y., & Widdows, R. (2002). The Internet and the consumer: Countervailing power revisited. Prometheus, 20(2), 107-118.
Rogers, E. (1995) Diffusion of Innovation(4nd ed.), New York: The Free.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press. 21(4), 2-4.
Sherry, J.F., Jr. (1990), A sociocultural analysis of a midwestern American flea market. Journal of Consumer Research, 17(1), 13-30.
Song, J., Kim, J., Jones, D.R., Baker, J., & Chin, W.W. (2013). Application discoverability and user satisfaction in mobile application stores: An environmental psychology perspective. Decision Support Systems, 59(5), 37-51.
Swan, J. E., & Combs, L. J. (1976). Product performance and consumer satisfaction: A new concept. Journal of marketing, 40(2), 25-33.
Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of retailing, 76(3), 309-322.
Thompson, N., Sholette, G., Thompson, J., Noordeman, A., & Mirzoeff, N. (2004). The Interventionists: Users' manual for the creative disruption of everyday life. The MIT Press. 12(3), 34-44.
Torkzadeh, G., Koufteros, X., & Pflughoeft, K. (2003). Confirmatory analysis of computer self-efficacy. Structural Equation Modeling, 10(2), 263-275.
Turel, O., Serenko, A., & Bontis, N. (2010). User acceptance of hedonic digital artifacts: A theory of consumption values perspective. Information & Management, 47(1), 53-59.
Ullman, M. T. (2001). The neural basis of lexicon and grammar in first and second language: The declarative/procedural model. Bilingualism: Language and cognition, 4(2), 105-122.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 4(1), 695-704.
Weng Marc Lim. (2014) Sense of virtual community and perceived critical mass in online group buying. Journal of Strategic Marketing. 22(3), 12-14.
Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258-270.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102.
Wirtz, J. and Chew, P. (2002), The effects of incentives, deal proneness, satisfaction and tie strength on word-of-mouth behavior. International Journal of Service Industry Management. 13(2), 141-162.
Yuan, S.-T., & Lin, Y.-H. (2004). Credit Based Group Negotiation for aggregate sell/buy in e-markets. Electronic Commerce Research and Applications, 3(1), 74-94.
Zhang, X., & Prybutok, V. R. (2005). A consumer perspective of e-service quality. Engineering Management. IEEE Transactions on, 52(4), 461-477.