基于EWAM的中国C2C网站用户评价研究
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摘要
中国电子商务中的C2C模式即顾客对顾客电子商务模式,2010年预计市场规模可达3000多亿,其中市场渗透率最大(81.5%)的淘宝网每年的交易额增长率达到110%以上,对其进行研究具有非常大的学术价值和实践意义。
     虽然目前对电子商务网站进行评价的模型比较多,但全面评价中国C2C网络购物网站的模型较为少见。本文在扩展的网站评估方法(Extended Web Assessment Method, EWAM)及其最近的改进模型EAWAM (E-auction Web Assessment Model)基础上,增加两个因子,开发了一个评价中国C2C网络购物的模型。
     研究采用自填式调查和间接面谈相结合的网络随机抽样以及方便抽样的方法,共收集353份有效问卷。通过SPSS、LISREL软件的描述性统计分析、验证性因子分析分离出有效的30个题项,最后用AMOS进行模型拟合。
     研究结果表明,用户继续使用网络购物是基于用户的满意度,而用户满意度受到其感知的网站信任度、网站功能性、网站易用性以及用户对科技的态度所影响。其中,网站信任度的影响远远大于其他因子的影响。数据分析证实,本研究在原有模型基础上的新增因子——用户对科技的态度,对网站可信度、用户满意度和用户继续使用网站的意向均有显著影响;另一新增因子——网站易用性,对网站功能性和用户满意度有显著影响。网站功能性在网站易用性对用户满意度影响过程中起部分中介效应作用。整个研究过程证明,采用随机性质的网络聊天工具访谈是可行的,它具有比经典电话访谈和邮件调查更高的问卷回收率。本研究丰富了原有的评价模型,还给C2C购物网络提出了建设性意见。
China's C2C e-commerce (EC) is customer to customer e-business model, whose market size in 2010 is expected to reach 300 billion. Owing the largest market penetration (81.5%) of the C2C EC. Taobao.com's annual turnover gained more than 110%growth rate. So the academic value and practical guidance of this subject has been widely recognized.
     Although currently there are a lot models assessing C2C EC website, but a comprehensive assessment of China's C2C online shopping site model is rare. Basing on EWAM (Extended Web Assessment Method) and the recently improved model EAWAM (E-auction Web Assessment Model), this paper develops a more comprehensive C2C EC website assessment model.
     A survey was conducted in the internet combining the methods of convenience sampling and random sampling, which adopted self-administered surveys and indirect interviews method. A total of 353 valid questionnaires were collected. By SPSS, LISREL software, descriptive statistics and confirmatory factor analysis were used to isolate 30 effective items, which finally fitting the model with AMOS software, providing strong supports for this model.
     The results suggest that users'continuance to use the online shopping is based on customer satisfaction, which is determined by perceived website trust, website functionality, ease of usability and users'attitude towards technology. Among all the factors, perceived website trust plays a much more important role than others. Based on previous studies, the paper adds two additional factors, one is users'attitude toward technology which has significant impact on web site credibility, customer satisfaction and users'intention to continue using the site; another new factor is ease of usability on the web site which has significant effects on functionality and users' satisfaction. Functionality plays an intermediary role during the process of ease of usability impacts on users'sactisfaction.
     These conclusions have enriched the original evaluation model, and offer constructive suggestion the reality of the C2C EC website.
引文
[1]Anderson, W. T. Communities in a World of Open Systems. Future,1999,31, 457-463.
    [2]Audun, J., Roslan, I.,& Colin, B. A survey of trust and reputation systems for online service provision. Decision Support Systems,2007,43,618-644.
    [3]Banker, R. D.,& Mitra, S. Procurement models in the agricultural supply chain: a case study of online coffee auctions in India. Electronic Commerce Research & Applications,2007,63,309-321.
    [4]Baron, R. M.,& Kenny, D. A. The moderator-mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology,1986,51(6), 1173-1182.
    [5]Bassam, H. Exploring gender differences in online shopping attitude. Computers in Human Behavior, Available online 8 February 2010, in press.
    [6]Bellman, S., Lohse G. L.,& Johnson, E. J. Predictors of online buying behavior. Communications of the ACM,1999,42(12),32-38.
    [7]Bensaou, M.,& Venkataman, N. Inter-organizational relationships and information technology:A conceptual synthesis and a research framework. European Journal of Information Systems,1996,1996,(5),84-91.
    [8]Bhattacherjee, A. Understanding information systems continuance:an expectation-confirmation model. MIS Quarterly,2001,25(3),351-370.
    [9]Bhattacherjee, A. Individual trust in online firms:scale development and initial test. Journal of Management Information Systems,2002,19:211-241.
    [10]Bomil, S.,& Ingoo, H. The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronic Commerce,2003,7(3),135-161.
    [11]Bruner, G. C.,& Kumar, A. Web commercials and advertising hierarchy-of-effects. Jounal of Advertising Research,2000(5),35-43.
    [12]Chan, T. Y., Kadiyali, V.,& Park, Y.H. Willingness to pay and competition in online auctions. Journal of Marketing Research,2007,44(2),324-333.
    [13]Chen, J., Zhang, C., Yuan, Y. F.,& Huang, L. H. Understanding the emerging C2C electronic market in China:an experience seeking social marketplace. Electronic Markets,2007,17(2),86-100.
    [14]Chen, L. D.,& Justin, T. Technology Adaptation in E-commerce::Key Determinants of Virtual Stores Acceptance. European Management Journal, 2004,22(1),74-86.
    [15]Cheolho, Y. The effects of national culture values on consumer acceptance of e-commerce:Online shoppers in China. Information& Management,2009, 46(5),294-301.
    [16]Clogg, C. C., Petkova, E.,& Shihadeh, E. S. Statistical methods for analyzing collapsibility in regression models. Journal of Educational Statistics,1992, 17(1),51-74.
    [17]Constance, E. P.,& Naveen, D. Using the technology acceptance model to explain how attitudes determine Internet usage:The role of perceived access barriers and demographics. Journal of Business Research,2006,59(9), 999-1007.
    [18]Culnan, M. J.,& Armstrong, P. K. Information privacy concerns, procedural fairness, and impersonal trust:An empirical investigation. Organization Science,1999,10 (1) 104-115.
    [19]Dan J. K., Donald L.F.,& Rao, H. R. A trust-based consumer decision-making model in electronic commerce:The role of trust, perceived risk, and their antecedents. Decision Support Systems,2008, (44),544-564.
    [20]David, G., Elena, K.,& Detmar, W. S. Trust and TAM in online shopping:an integrated model. MIS Quarterly.2003,27(1),51-90.
    [21]Davis, F. D. A technology acceptance model of empirically testing new end-user information systems:theory and results, doctoral dissertation, sloan school of management, Massachusetts institute of technology,1986.
    [22]Davis, F. D. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly,1989,13 (3),319-340.
    [23]Donald, B. P. D. The effects of age, gender, and experience on measures of attitude regarding computers. Computers in Human Behavior,1991,7(4), 333-339.
    [24]Economist. China's pied piper.. Economist,2006,380(8496),78-78.
    [25]Fishbein, M.,& Ajzen, I. Belief, Attitude, Intention and Behavior:An Introduction to Theory and Research. Reading, MA:Addison-Wesley,1975.
    [26]Fukuyama, F. Trust:The Social Virtues and the Creation of Prosperity. New York:Free Press,1995.
    [27]Gary, P. S.,& James, T. P.电子商务.北京:机械工业出版社,2000,2-3.
    [28]Gefen, D.,& Straub, D. W. The relative importance of perceived ease-of-use in IS adoption:A study of e-commerce adoption, Journal of the Association for Information Systems,2000,1(8),1-28.
    [29]Gefen, D. Reflections on the dimensions of trust and trustworthiness among online consumers, Database for Advances in Information Systems,2002,33(3), 38-54.
    [30]HE, D., LU, Y.,& ZHOU, D. Empirical Study of Consumers'Purchase Intentions in C2C. Electronic Commerce Tsinghua Science and Technology, 2008,13(3),287-292.
    [31]Hoffman, D. L., Novak, T. P.,& Peralta, M. Building consumer trust Online. Communications of the ACM,1999,42(4),80-85.
    [32]Hsu, C. L.,& Lu, H. P. Why do people play on-line games? An extended TAM with social influences and flow experience. Information& Management,2004, 41(7),853-868.
    [33]Hsu, M. H.,& Chiu, C. M. Predicting electronic service continuance with a decomposed theory of planned behavior. Behavior& Information Technology, 2004,23(5),359-373.
    [34]Jack, T. M.,& Kurt, K. An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software. Communications of the IIMA,2007,7(2),93-104.
    [35]Jarvenpaa, S. L., Tractinsky, J.,& Saarinen, L. Consumer trust in an Internet store:A cross-cultural validation, Journal of Computer Mediated Communication[on-line serial],1999,5(2).
    [36]Jiunn-Woei, L.,& Tzu-Ming, L. Effects of consumer characteristics on their acceptance of online shopping:Comparisons among different product types. Computers in Human Behavior,2008,24,48-65.
    [37]Joseph, F. H., William, C. B., Barry, J. B., Rolph, E. A.,& Ronald, L. T. Multivariate Data Analysis. New Jersey:Person,2005,108-110.
    [38]June L., Yu C. S.,& Wu J. Y. E-auction web assessment model in China. Electron Commer Res,2009,9,149-172.
    [39]Karvonen, K.,& Parkkinen, J. Signs of trust, In proceedings of the 9th International Conference on HCI, New Orleans, LA, USA,2001.
    [40]Kim, K.,& Prbhakar, B. Initianl Trust, Perceived risk and adoption of Internet banking. Proceedings of the International Conference on Information Systems (ICIS), Brisbane, Australia,2000.
    [41]Koufaris, M. Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research,2002,13(2), 205-223.
    [42]Laura, R. G.,& Dorlores, A. Forming Attitudes That Predict Future Behavior: A Meta-Analysis of the Attitude-Behavior Relation. Psychological Bulletin, 2006,132(5),778-882.
    [43]Lee, M. C. Factors influencing the adoption of internet banking:An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications,2009,8(3),130-141.
    [44]Lee, M. K. O.,& Turban, E. A. Trust model for consumer internet shopping. International Jounal of Electronic Commerce,2001,6(1),75-91.
    [45]Leo, R. V. Predicting consumer intentions to use on-line shopping:the case for an augmented technology acceptance model. Information& Management, 2004,41(6),747-762.
    [46]Li, H., Kuo, C.,& Russell, M. G. The impact of perceived channel utilities, shopping orientations, and demographics on the consumer's online buying behavior. Journal of Computer-Mediated Communication,1999,5(2),152-162.
    [47]Lian, J. W.,& Lin, T. M. Effects of consumer characteristics on their acceptance of online shopping:Comparisons among different product types. Computers in Human Behavior,2008(24),48-65.
    [48]Lin, J. C.,& Lu, H., Towards an understanding of the behavioral intention to use a web site, International Journal of Information Management,2000,20(3), 197-208.
    [49]Liu, I. F.,& Chen, M. C. Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers& Education,2010,54(2),600-610.
    [50]Mackinnon, D. P., Lockwood, C. M.,& Hoffman, J. M. A new method of the Society for Prevention Research, Park City, UT.1998, June.
    [51]Mayer, R. C., Davis, J. H.,& Schoorman, F. D. An integration model of organizational trust.Academy of Management.The Academy of Management Review,1995,20(3),709-734.
    [52]McCloskey, D. W. The importance of ease of use, usefulness, and trust to online consumers:an examination of the technology acceptance model with older consumers. Journal of Organizational& End User Computing,2006, 18(3),47-65.
    [53]Min, Q. F., Ji, S. B.,& Qu, G. Mobile Commerce User Acceptance Study in China:A Revised UTAUT Model. TSINGHUA SCIENCE AND TECHNOLOGY,2008,13(3),257-264.
    [54]Novak, T. P., Hoffman, D. L.,& Yung, Y. F. Measuring the Customer Experience in Online Environments:A Structural Modeling Approach. Marketing Science,2000,19(1),22-42.
    [55]Parthasarathy, M.,& Bhattacherjee, A. Understanding post-adoption behavior in the context of online services. Information Systems Research,1998,9(4), 362-379.
    [56]Pavlou, P. A. Consumer acceptance of electronic commerce:Integrating trust and risk with the technology acceptance model, International Journal of Electronic Commerce,2003,7(3),101-134.
    [57]Petra, S. Extended Web Assessment Method (EWAM):Evaluation of Electronic Commerce Applications from the Customer's Viewpoint. International Journal of Electronic Commerce,2002,7(2),51-80.
    [58]Pinterits, A., Treiblmaier, H.,& Pollach, I. Environmental websites:an empirical investigation of functionality and accessibility. International Journal of Technology, Policy& Management,2006,6(1),6-6.
    [59]Richard, P. B. Attitudes, intentions, and behavior:A test of some key hypotheses. Journal of Personality and Social Psychology,1981,41(4), 607-627.
    [60]Peter, S. R., Andrew, H.,& Van, V. D. Developing processes of cooperative inter-organizational relationships. Academy of Management Review,1994,19, 90-118.
    [61]Saban, K. A.,& Rau, S. E. The functionality of websites as export marketing channels forsmall and medium enterprises. Electronic Markets,2005,15(2), 128-135.
    [62]Shang, R. A., Chen, Y. C.,& Shen, L. Extrinsic versus intrinsic motivations for consumers to shop on-line. Information& Management,2005,42,401-413.
    [63]Rousseau, D. M., Sitkin, S. B., Burt, R. S.,& Camerer, C. Not so different after all:a crossdiscipline view of trust. Academy of Management Review, 1998,23(3),393-404.
    [64]Schumacker, R. E.,& Marcoulides, G. A. Interaction and nonlinear effects in structural equation modeling. Mahwah, NJ:Lawrence Erlbaum Associates, 1998.
    [65]Sejin, H.,& Leslie, S. Consumer e-shopping acceptance:Antecedents in a technology acceptance model. Journal of Business Research,2009,62(5), 565-571.
    [66]Sherry, M. B. T., William, F.,& Zhu, L. B2B e-commerce adoption decisions in Taiwan:The interaction of cultural and other institutional factors. Electronic Commerce Research and Applications,2006,5(2),92-104.
    [67]Sherry, M. B. T., William,F.,& Ling, Z. Electronic Commerce Research and Applications.2006,5(2),92-104.
    [68]Shim, S., Eastlick, M. A., Lotz, S. L.,& Warnington P. An online prepurchase intention to search. Journal of retailing,2001,77,397-416.
    [69]Slyke, C. V. Gender difference in perceptions of web-based shopping, Communications of the ACM,2002,47(7),82-86.
    [70]Tony, A., Seewon, R.,& Ingoo, H. The impact of Web quality and playfulness on user acceptance of online retailing. Information& Management,2007, (44), 263-275.
    [71]Udo, G. J.,& Marquis, G. P. Factors affecting e-commerce web site effectiveness. Journal of Computer Information Systems,2001/2002,42(2), 10-16.
    [72]Venkatesh, V., Morris, M. G, Davis, G. B., et al. User acceptance of information technology:Towards a unified view. MIS Quarterly,2003,27(3): 425-478.
    [73]Wang, Y. S.,& Shih, Y. W. Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly,2009,26,158-165.
    [74]Weltevreden, J. W. J. Substitution or complementarity? How the Internet changes city centre shopping. Journal of Retailing and Consumer Services, 2007(14),192-207.
    [75]Wu, J. H.,& Wang, S. C. What drives mobile commerce?:An empirical evaluation of the revised technology acceptance model. Information& Management,2005,42(5),719-729.
    [76]Wu, Y. L., Tao, Y. H.,& Yang, P. C. Using UTAUT to explore the behavior of 3G mobile communication users.2007 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2007), vol.1.
    [77]Xiao, L.,& Kwok, K. W. An empirical study of product differences in consumers'E-commerce adoption behavior. Electronic Commerce Research and Applications,2003,2(3),229-239.
    [78]阿里巴巴.关于阿里巴巴.http://page.china.alibaba.com/shtml/about/ali_chinal.shtml,2010-02-04.
    [79]埃弗雷姆·特班,戴维·金,丹尼斯·维兰和杰·李.电子商务管理视角(原书第4版).北京:机械工业出版社,2007,4-5.
    [80]埃弗雷姆·特班,戴维·金,丹尼斯·维兰和杰·李等.电子商务管理视角(原书第4版).北京:机械工业出版社,2007,7-8.
    [81]埃弗雷姆·特班,戴维·金,丹尼斯·维兰和杰·李等,电子商务管理视角(原书第4版).北京:机械工业出版社,2007,145-146.
    [82]当当网. 当当网公司简介.http://static.dangdang.com/topic/2227/176801.html,2010-02-04.
    [83]冯远征,徐雅静.SAS软件与统计应用教程.北京:机械工业出版社,2007,197.
    [84]高家松.浅析中国电子商务中C2C平台的发展,沈阳干部学刊,2009,11(3),36-41.
    [85]郭建恩.网上购物情境下消费者的感知风险及动机过程模型研究.硕士学位论文,浙江大学,2005.
    [86]侯杰泰,温忠麟,成子娟a.结构方程模型及其应用.北京:教育科学出版社,2004,14.
    [87]侯杰泰,温忠麟,成子娟b.结构方程模型及其应用.北京:教育科学出版社,2004,25.
    [88]侯杰泰,温忠麟,成子娟c.结构方程模型及其应用.北京:教育科学出版社,2004,128-129.
    [89]侯杰泰,温忠麟,成子娟d.结构方程模型及其应用.北京:教育科学出版社,2004,128-129.
    [90]慧聪网.关于慧聪网.http://hcgroup.hc360.com/,2010-02-04.
    [91]京东网.京东网公司简介.http://www.360buy.com/intro/about.aspx, 2010-02-04.
    [92]姜灵敏.中国电子商务发展现状与对策研究.商业研究,2003(1),121-123.
    [93]凯勒·沃拉克.统计学:在经济和管理中的应用(第六版).北京:中国人民大学出版社,2006,159-163.
    [94]李怀祖.管理研究方法论.西安:西安交通大学出版社,2004,239-240.
    [95]李金林,赵中秋.管理统计学.北京:清华大学出版社,2006,320-321.
    [96]李睿.C2C电子商务中消费者信任影响因素的实证研究.硕士学位论文,重庆大学,2006年.
    [97]李雪.国内C2C电子商务的营销组合策略研究.硕士学位论文,四川大 学,2006.
    [98]人民网. 应对“罢市危机” 马云昨出面向淘宝卖家道歉.http://media.people.com.cn/GB/40606/4424177.html,2006-01-01.
    [99]刘大海,李宁,晁阳.SPSS15.0统计分析从入门到精通.北京:清华大学出版社,2008,348-349.
    [100]马庆国.管理统计——数据获取、统计原理、SPSS工具与应用研究.北京:科学出版社,2002,308-310.
    [101]拍拍简介http://help.paipai.com/introduce.shtml,2010-02-04.
    [102]庞川.B-to-C环境下影响消费者网络信任因素的研究.博士学位论文,复旦大学,2003.
    [103]驱动之家. 行业电子商务大发展呼唤理性沟通.http://digi.tech.qq.com/a/20100210/001076.htm,2010-02-10.
    [104]阮敬.SAS统计分析:从入门到精通.北京:人民邮电出版社,2009,188.
    [105]沈娜利.我国C2C电子商务诚信管理机制的研究.硕士学位论文,重庆大学,2006.
    [106]史蒂芬·列维特,史蒂芬·都伯纳.魔鬼经济学.广州:广东经济出版社,2006,105-134.
    [107]宋启维.国内C2C产业发展的五力分析.商业周刊,2006年第32期,77-85.
    [108]孙秀秀.2008中国C2C市场改革的三大问题.http://research.cnnic.cn/html/1242981998d510.html,2009-05-22.
    [109]孙学文,包金龙.中、美C2C电子商务模式创新发展的比较研究.特区经济,2009(8),92-94.
    [110]唐潇霖.eBay颠覆C2C.互联网周刊,2005年7月,28-29.
    [111]唐邕梅.C2C电子商务模式在南宁电信“宽网南宁”业务中的应用探讨.硕士学位论文,北京邮电大学,2007.
    [112]腾讯科技 . 易趣网淘宝网5年交战史.http://tech.qq.com/a/20080506/000274.htm,2008-05-06.
    [113]天府早报.春节淘宝网上交易额超10亿http://finance.ifeng.com/roll/20100221/1838693.shtml,2010-2-21.
    [114]维基百科——卓越亚马http://zh.wikipedia.org/wiki/%E5%8D%93%E8%B6%8A%E4%BA%9A %E9%A9%AC%E9%80%8A+%E5%8D%93%E8%B6%8A%E4%BA%9A% E9%A9%AC%E9%80%8A&cd=5&hl=zh-CN&ct=clnk&gl=cn&st_usg=ALh dy2_TxjmvdeB_VWMs3IdrLq7rkQ6D4w,2010-02-04.
    [115]温忠麟,张雷,侯杰泰和刘红云.中介效应检验程序及其应用.心理学报,2004,36(5),614-620.
    [116]吴明隆.SPSS统计应用实务:问卷分析与应用统计(第一版).北京:科学出版社,2003,113.
    [117]谢意,沈玉,干红华和陈德人.基于C2C的电子商务信用体系研究(英文版).计算机系统应用,2009,(6),148-153.
    [118]徐强田.农产品批发市场经营商户顾客忠诚影响因素研究.硕士学位论文,浙江大学,2009.
    [119]易观国际预测: 2011年中国C2C市场规模将达3883亿元http://www.analysys.com.cn/web2007/hysj_index.php/id_6160.html 2009-01-20.
    [120]游明辉.影响消费者网站特性认知、网上购物接受程度及网上购物意图因素之研究.硕士学位论文,辅仁大学管理学研究所,2004.
    [121]赵崇志.网站特性对顾客利益与行为意向之分析.铭传大学国际企业管理研究所,2002.
    [122]易趣网.关于易趣.http://www.eachnet.com/abouteachnet.html,2010, 2010-02-04.
    [123]张新元,王龙,张鹏,张颖.我国C2C电子商务发展存在的问题及解决措施.情报杂志,2005年第6期,78-82.
    [124]中国电子商务研究中.2009-2010年中国电子商务市场盘点.http://b2b.toocle.com/detail--4992010.html,2010-02-04.
    [125]中国互联网络信息中心.2009年中国网络购物市场研究报告.http://research.cnnic.cn/,2009-11-09.
    [126]中国证券网-上海证券报. 电子商务交易额明年有望达到15万亿元.http://research.cnnic.cn/html/1255483984d1428.html,2009-10-14.
    [127]钟慧丽.马云倾力打造“大淘宝”.钱江晚报,2010-03-02,C2.
    [128]钟晓娜.网站特征和消费者个体特征对网络购物接受度的影响.硕士学位论文,浙江大学,2005.
    [129]朱继文.消费者网上购物的影响因素研究.硕士学位论文,浙江大学,2005.

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