网络社区对B2C电子商务平台品牌忠诚影响机理实证研究
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摘要
在传统的商业环境中,品牌一直是企业营销战略的核心内容,消费者长期的品牌忠诚也是企业获取丰厚回报的主要来源。但是在网络经济中,品牌的作用和价值开始受到冲击。这是因为:一方面,市场进入壁垒降低,更多的产品变成商品,各种各样的品牌不断涌现;另一方面,消费者借助网络可以轻松地获得关于产品、服务及提供商的大量信息,从而变得更加精明和挑剔。人们不禁由此产生疑问,网络经济中如何进行品牌建设才能产生有效的品牌忠诚?
     经过专家与学者一系列的调查和研究,结果客观地表明,网络经济中品牌仍将发挥其不可替代的作用,但是决定品牌的关键因素却有所变化。在网络经济中,品牌已不像在传统环境中那样依赖于单调的产品形象以及单向的广告宣传。因此,企业若还是依靠传统的品牌建设手段,就很可能逐渐失去消费者的品牌忠诚。随着网上交易的日益频繁和深入,消费者与企业之间的联系与交流更具网络倾向。而消费者越依赖通过网络与企业发生联系,他们对于品牌的认知就越取决于其在网络上获得的相关体验——舒适快捷的界面、方便的选购和支付以及友好的对话等等方面。因此,如何使消费者感知到出众的网络体验,是企业进行品牌建设时所要解决的关键问题。而此时网络社区的出现,恰恰为企业提供了一个崭新而有效的途径。
     网络社区伴随因特网的发展而兴起,是网络营销的重要工具和手段。品牌忠诚虽然有很多学者进行深入研究和探讨,但对于网络品牌忠诚的研究仍处于初步的阶段,对于B2C电子商务平台如何形成品牌忠诚更是在雾里看花。研究网络社区和B2C电子商务平台品牌忠诚的相关问题是学术研究的前沿议题,不论是国内还是国外都将此作为未来研究的发展方向和重心,也是B2C电子商务网络营销实务中的重点和难点问题。本文在综述现有研究成果的基础上,探讨网络社区、社区成员以及B2C电子商务平台品牌忠诚等方面的相互联系,从理论层面揭示社区及B2C电子商务平台品牌忠诚的影响因素和传导机理,从实践层面给出应用框架和管理策略,为B2C电子商务企业开展网络社区及网络品牌的营销活动提供系统的理论指导和应用方法。鉴于网络社区的巨大影响力,以及网络品牌忠诚对于B2C电子商务平台的重要作用,本研究具有以下理论意义和实践意义:
     理论意义:在品牌忠诚等经典理论研究的基础上,从平台社区和个人(社区成员)两个不同的维度出发,引入平台与社区因素以及社区成员个体因素的双重视角来分析平台品牌忠诚形成与发展的过程,以及它的影响因素与传导机理,丰富且发展了网络社区建设的理论。
     实践意义:研究结果有助于B2C电子商务企业认知网络社区的价值及价值增值过程,为企业通过网络社区的媒介培育和维系忠诚客户提供了新的途径和方法;有助于企业认识社区和个体在网络营销中的地位,从而确定社区和社区成员应在网络营销中扮演什么角色、发挥何种作用,采取针对性的措施制定营销策略。
     全文共八章,第一章为绪论部分;第二章为文献综述与评价;第八章为全文总结及研究展望,第三章到第七章为论文的主体部分。整篇论文的结构体系图,请详见第一章中图1-3所示。
     第一章绪论部分,阐述了论文的研究背景、研究现状和意义,在论文研究的主要内容中指出论文的研究范围、研究视角、全文研究的逻辑结构和结构体系,介绍了论文要解决的关键问题、主要工作、研究阶段;另外对论文的研究方法等进行说明。
     全文的研究是在借鉴国内外相关研究成果的基础上展开的。这部分主要体现在
     本文的第二章,其中综述了与品牌有关的概念和定义、网络品牌及本文研究对象的界定、品牌忠诚有关的定义、品牌忠诚的影响因素和相关理论模型;B2C电子商务平台的概念与定义、B2C电子商务平台的研究现状、B2C电子商务平台的分类;社区的理论研究、社区的性质及应用、社区的类别及相关领域的理论研究,也指出了现有研究的不足、相关问题和由此引发本文的思考。论文的主体部分包括第三、第四、第五、第六和第七章。
     第三章提出了网络社区对B2C电子商务平台品牌忠诚影响因素及传导机理的理论模型,并对模型的理论来源做了简要的阐述;提出了本文的假设;调查问卷的预期测量问项;针对研究变量进行的测量;变量测量的信度和效度评价以及本文所用的数据分析方法。
     第四章至第七章是实证研究的部分,分四个章节分别针对四种不同类型的B2C电子商务平台做了相应的统计分析。第四章对商城式综合购物平台进行分析并得出了相应的影响机理模型;第五章对专营商品平台进行分析并得出了相应的影响机理模型;第六章对企业网络直销平台进行分析并得出了相应的影响机理模型;第七章对团购平台进行分析并得出了相应的影响机理模型。这四章的实证研究均是基于第三章中所提出的理论模型而展开,并运用结构方程模型对各研究结论进行检验与修正。
     最后第八章部分是全文结论总结与研究展望,在对全文的内容进行回顾的基础上,归纳汇总了网络社区对B2C电子商务平台品牌忠诚影响因素及传导机理各类型的模型,总结了全文的研究工作和得到的结论,强调了主要结论和理论与实践的创新点,提出了与B2C电子商务平台社区建设实践相关的建议,并指出了本文的局限性和未来进一步研究的方向,以及相应的研究展望。
     本研究针对我国B2C电子商务平台在其网络社区环境下的品牌忠诚影响因素及传导机理进行了深入、全面的研究和探讨,将B2C电子商务平台分为四类分别进行实证研究,主要有以下一些创新点:
     1.网络社区对B2C电子商务平台品牌忠诚影响因素及传导机理理论创新遍历所有有关品牌忠诚及网络品牌忠诚的文献,其中涉及电子商务的一般将其作为一个网站来进行研究,研究的对象也是电子商务网站的品牌忠诚。而本文的研究是针对整个电子商务平台,将其作为一个整体,其中社区也称之为社区平台,它也是B2C电子商务平台中不可或缺的重要组成部分之一。本文的研究也是建立在此基础上。虽然本文并非最先提出这一概念,但这一研究领域,是在之前很多学者研究之上新的拓展,并且通过研究,也证实了将B2C电子商务作为平台来研究更符合现在的发展趋势,也体现了电子商务平台的各个组成部分在整个平台运行过程中所起到的重要作用。
     本文所研究的影响机理包括影响因素及传导机理两方面,在相关的影响因素研究文献中,与品牌忠诚和网络品牌忠诚有关的研究始终跳不出品牌忠诚经典理论的框架,在分析影响因素的时候也是围绕在原有的研究基础之上。本文引入社区这一影响环境后,对于在新环境下B2C电子商务平台的品牌忠诚影响因素进行了全方位的研究,提出了将社区成员个体专业程度、社区成员个体感知程度、社区成员个体融入程度、社区活跃程度、社区吻合程度、平台商品多样化程度、平台商品专业化程度、平台商品个性化程度以及平台商品性价比水平作为衡量影响B2C电子商务平台品牌忠诚的几个因素,且通过实证研究其是否对于平台品牌忠诚产生显著影响,并进一步研究了其传导机理,证实了平台信任度、平台满意度以及社区成员个体融入程度这三个变量对于平台品牌忠诚的中介作用,这是在理论上的一点创新。
     2.对于我国不同类型B2C电子商务平台进行细分,有针对性研究的实证创新
     本文在实证研究的过程中,并非粗略地将B2C电子商务平台统一进行研究,而是根据相关学者和专业咨询公司在电子商务行业报告中的资料分析,结合我国B2C电子商务平台的发展特色,将其细化区分为四种具有不同特点的电子商务平台,分为商城式综合购物平台、专营商品平台、企业网络直销平台,以及团购平台,并针对平台自身特征,总结出四个不同的因素来分别进行研究,并进一步指出不同类型的平台其品牌忠诚影响因素及传导机理也是不尽相同的。也正基于此,针对不同类型的平台,在社区的构建与管理上也要有针对性地采取不同的方式。这样有针对性的实证研究确保了本文研究成果的实践意义和价值,这也是本文在这一领域实证研究中的创新。
In the traditional business environment, the brand is always the core content of the enterprise marketing strategy, consumers' long-term of brand loyalty is profitable enterprises to acquire the main source. But in the network economy, brand of function and value began to suffer. This is because that on the one hand, market entry barriers lower, more products into a commodity, various kinds of brand constantly emerging, On the other hand, consumer with network can easily get about products, services and provider of information, and thus become more shrewd and picky. People can not help the resulting doubt, network economy how to conduct brand construction to produce effective brand loyalty?
     Through a series of investigation and research by experts and scholars, the results objectively indicate that, in the network economy brand will still play its irreplaceable role, but the key factor decision brand but to change. In the network economy, the brand has not like the traditional environment that rely on drab product image and one-way advertising. Therefore, the enterprise if still rely on traditional brand construction method, it is very possible gradually lose consumer brand loyalty. With online trading increasingly frequent and thorough, consumers and business and the connection between exchange more network tendency. And consumers more dependent on through the network and the enterprise happening, they contact to brand cognitive more depends on the network for the relevant experience - comfortable fast interface, convenient to choose and pay and friendly dialogue, etc. Therefore, how to make consumers perceive an outstanding Internet experience is the enterprise to carry out the brand construction to solve the key problems. While the emergence of Internet community, just for enterprise provides a new and effective way.
     The online community is arisen the important tool and means with the development of the Internet network marketing. Brand loyalty while there are many scholars further research and discussion, but for network brand loyalty research is still in the initial stage, for B2C e-commerce platform on how to form a brand loyalty is in mystifying. Research network community and B2C e-commerce platform brand loyalty problems related to the forefront of research is an academic issues, both at home and abroad will this as the future research direction of development and center of gravity, also B2C e-commerce network marketing practices the key and difficult problem. Based on reviewing the basis of existing research results, this paper discusses the online community, community members and B2C e-commerce platform brand loyalty, etc, the relationship from the theoretical level reveals the community and B2C e-commerce platform brand loyalty and the factors affecting the conduction mechanism, from the practical level, an application framework and management strategies for B2C e-commerce enterprises to develop the network community and network brand marketing activities provide systematic theoretical guidance and application methods. Given the huge influence of the online community, as well as network brand loyalty for B2C e-commerce platform, the importance of this study has the following theoretical and practical significance:
     Theoretical significance: in brand loyalty such classical theory on the basis of study, from community and individual (community members) two different dimensions, introducing the new individual factors Angle to analyze the brand loyalty formation and development process, and every stage of conduction modes, enriched and developed the theory of network community construction.
     Practical significance: results contribute to B2C e-commerce enterprises cognitive online community's value and value added process for enterprise through the network to cultivate and sustain the community media loyalty client provides a new way and method, Help enterprises to understand community and individual in network marketing, so as to determine the status of community, and community members shall, in Internet marketing, what role play what role, adopting the specific measures marketing strategy.
     The essay has eight chapters, the first chapter are stated in part; The second chapter for literature review and evaluation; Chapter 8 for full text summarizes and research prospects in the third chapter to chapter seven is the main part of the thesis. The whole thesis structure chart, please see the first chapter subdivisision 1-3 shows.
     The first chapter is the introduction section, this paper expounds the thesis research background, research status and significance, the main content of the dissertation research paper pointed out in the research scope, the research Angle, full-text research of logical structure and structural system, introduced to solve the key problems of papers, the main work, study phase, In addition, the paper studies show the method, etc.
     The study is in related research achievements at home and abroad on the basis of. This section of this paper are mainly embodied in the second chapter, which reviewed and brand relevant concept and definition, network and brand this paper research object, definition of brand loyalty related definitions, brand loyalty and the factors affecting the related theoretical model. B2C e-commerce platform the concept and definition, B2C e-commerce platform the research situation, the B2C e-commerce platform of sorting. Community of theory, the properties and application of community, community categories and related fields theory research also points out existing deficiencies and related questions and caused by this paper thinking.
     The main part of the paper includes the third, fourth and fifth, the sixth and seventh chapter.
     The third chapter puts forward the online community of B2C e-commerce platform brand loyalty affecting factors and transmitting mechanism of theoretical model, and the model of the theoretical sources do cautious. the paper, Put forward in this paper that, The survey WenXiang expected measurement, Considering the research variables measurement, Variable measuring reliability and validity of the evaluation and this paper USES data analysis method.
     The fourth chapter to chapter 7 of part, is an empirical study divided four chapters respectively on four different types of B2C e-commerce platform made the corresponding statistical analysis. The fourth chapter of shopping mall type comprehensive platform analysis and derives the corresponding influence mechanism model. The fifth chapter to specialize in commodity platforms, analyze and derives the corresponding influence mechanism model. The sixth chapter on enterprise network direct marketing platform, analyze and derives the corresponding influence mechanism model. Chapter 7 jan.7 platform for analysis and derives the corresponding influence mechanism model. These four chapters of empirical studies are based on the third chapter theories put forward by model and spread and apply to the structural equation model of each research conclusion inspection and correction.
     Final chapter 8 part contains conclusion to summarize and research prospects in the content of text based on the review of the online community, inductive summary of B2C e-commerce platform brand loyalty affecting factors and transmitting mechanism to various types of model, this paper summarizes the full text of the research work and the conclusion, emphasizes the main conclusions and theory and practice, and puts forward the innovation points with B2C e-commerce platform community construction practice related Suggestions and points out this paper limitations and future research direction of further research prospects and the corresponding.
     This study aiming at the B2C e-commerce platform in the Internet community environment of brand loyalty affecting factors and transmitting mechanism thorough, comprehensive research and discussion, will B2C e-commerce platform into four categories respectively for empirical research, basically have the following some innovation points:
     1. The online community of B2C e-commerce platform brand loyalty affecting factors and transmitting mechanism theory innovation
     To traverse all relevant brand loyalty and network brand loyalty literature, involving electronic commerce general as a website for research, the object of study is also ecommerce brand loyalty. But this research is aimed at the whole e-commerce platform, which is considered as a whole, including community also called community platform, and it is also the B2C e-commerce platform indispensable part of one. This study is based on this basis. Although this paper are not the first to put forward this concept, but the research domain, it is before many scholars study on new development, and through the study, also confirmed that will B2C e-commerce as a platform to research more conform to the present development trend, also reflected the e-commerce platform of component part in the whole platform operation process of the important role played by.
     This paper studied the influence mechanism including affecting factors and transmitting mechanism in two aspects, the related factors affecting the research literature, and brand loyalty and network brand loyalty research always jump out brand loyalty classical theory frame, in analyzing the influential factors of time also is around the original research foundation. This paper introduce community this affect the environment, for in the new environment B2C e-commerce platform of brand loyalty influence factors to the full range of study, puts forward the community members individual professional degree, members of the community individual perceived, members of the community individual into degree, community involvement, community anastomosis degree, platform commodity diversification degree, specialized degree, platform commodity individualization degree and commodity price level as a measure of platform influence B2C e-commerce platform brand loyalty of several factors, and the empirical research about whether the platform brand loyalty significant impact, and further studies its transmitting mechanism, confirmed the platform trust, platform satisfaction and community members individual into the three variables for degree platform brand loyalty intermediary role, this is a bit of innovation in theory.
     2. For in different types of B2C e-commerce platform subdivided, targeted the empirical research innovation
     Based on the empirical research process, not roughly divided B2C e-commerce platform unified study, but according to relevant scholars and professional consulting company in e-commerce industry report the data analysis, combined with the B2C e-commerce platform development characteristics, its refining is divided into four with different characteristics of e-commerce platform, divided into shopping mall type comprehensive platform, specialize in commodity platform, enterprise network marketing platform, and even apartments-and platform, and in the light of the platform, summarized the characteristics of four different factors studied respectively, and further points out that different types of platform its brand loyalty affecting factors and transmitting mechanism is not the same. Also is based on this, according to different types of platform, the community construction and management also to be pertinently adopt different ways. Such targeted empirical research to ensure this research results of practical significance and value, which is based on the empirical research on this field innovation.
引文
[1] Balasubrmanian S., & Mahajan, V. The economic leverage of the virtual community. Int J Electron Consumer, 2001, 5(3):103-38.
    [2] Bearden, W. S., & Teel, J. E. Selected determinants of consumer satisfaetion. Journal of Marketing Research, 1983, 20(l), 21-28.
    [3] Beatty, S, & Smith, S. External Search Effort: An Investigation Across Several Product Categories. Journal of Consumer Research, 1987(14), 83-959.
    [4] Bickart B., & Schindler R. M. Internet forum as influential sources of consumer information. J Interact Market, 2001, 15(3), 31-40.
    [5] Bloch, P. H., Sherell, D. L., & Ridgway, N. M. Consumer Search: An Extended Framework. Journal of Consumer Research, 1988(13), 119-126.
    [6] Briggs & Hollis, Bloemer, J., de Ruyter, K., & Wetzels, M. Linking Perceived service quality and service loyalty: a multi-dimensional Perspective. European Journal of Marketing, 1997, 33(11/12), 1082-1106.
    [7] Bo-chiuan S. Characteristics of Consumer search on-Line: How Much Do We Search? International Journal of Electronic Commerce, Fall 2008, 13(1), 109-129.
    [8] Brucks, M. The Effects of Product Class Knowledge on Information Search Behavior. Journal of Consumer Research, 1986(12), l-16.
    [9] Chen, H., Wigand, R., & Nilan, M. S. Optimal Experience of Web Activities. Computers In Human Behavior, 1999, 5(15), 585-605.
    [10] Childers, T. L., Carr, C. L., Joann, P., & Stephen, C. Hedonic and Utilitarian Motivations for online Retail Shopping Behavior. Journal of Retailing, 2001(77), 511-535.
    [11] Davis, F. D., Bagozzi, R. P, & Warshaw, P. R. User Acceptance of Computer Technology: A Comparison of two Theoretical Models. Management Science, 1989, 35(8), 982-1003.
    [12] Deutsch. M. Trust and Suspicion. The Journal of Conflict Resolution, 1958(2), 265-279.
    [13] Dholakia, R. R., & Sternthal, B. Highly Credible Source: Persuasive Facilitator or Persuasive Liabilities? Journal of Consumer Research, 1977(3), 223-232.
    [14] Doney & Cannon. An Examination of the Nature of Trust in Buyer-Seller Relationship. Journal of Marketing, 1997(61), 35-51.
    [15] Frenzen, J. K & Davis, H. L. Purchasing Behavior in Embedded Markets. Journal of Consumer Research, 1990, 17(l), l-12.
    [16] Frenzen, J. K., & Nakamoto, K. Structure, Cooperation, and the Flow of Market Information, Journal of Consumer Research, 1993(20), 360-375.
    [17] Friestad, M., & Wright, Furse et al. Falk, P. The Persuasion-Knowledge Model: How People Cope With Persuasion Attempts. Journal of Consumer Research, 1994(21), 1-31.
    [18] Garbarino, E., & Johnson, M. S. The different roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing, 1999, 63(2), 70-87.
    [19] Gefen, D. E-Commerce: The Role of Familiarity and Trust. The International Journal of Management Science, 2000, 28(6), 725-737
    [20] Gefen, D. Reflections on the dimensions of trust and trustworthiness among online consumers. ACM SIGMIS Database, 2002, 33(3), 35-53.
    [21] Gefen, D., Karahanna, E., & Straub, D. W. Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 2003, 51-90.
    [22] Herr et al. Ghani. Flow in Human-Computer Interactions: Test of A Model. In book: Human factors in Information systems: Emerging Theoretical Bases. 1991, 291-307.
    [23] Gilly, M. G., Graham, J. L & Wolfinbarge, M. F. A Dyadic Study of Interpersonal Information Search. Journal of The Academy of Marketing Science, 1999, 26(2), 83-100.
    [24] Goldsmith, R. E., & David, H. Measuring Motivations for Online Opinion Seeking. Journal of interactive Advertising, 2006, 6(2), 2006, 3-14.
    [25] Granovetter, M. The strength of weak ties. American Journal of sociology, 1973, 78(6), 1360-1380.
    [26] Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty. Journal of Business Research, 2005, 59(4), 449-56.
    [27] Hagel J., & Armstrong A. G. Net gain: expanding markets through virtual communities. Boston, MA’Harvard Business School Press;1997.
    [28] Hennig-Thurau, T., Gwinner, K. P., & Gwinner, D. D. Understanding relationship marketing out comes: An integration of relational benefits and relationship quality. Journal of Service Research, 2002, 4(3), 230-247.
    [29] Katerattanakul, P. Framework of effective Website design for business-to-consumer Internet commerce, INFOR 40(l), 2002, 57-70.
    [30] Brown et al. Keiningham, T. L., Cooil, B., Aksoy, L., Andreassen, T. W., & Weiner, J. The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share-of-wallet. Managing Service Quality, 2007, 17(4), 361-384.
    [31] Kelman, H. C. Compliance, Identification, and Internalization: Three Processes of Attitude Change. Conflict Resolution, 195, 8, 51-60.
    [32] Kim, E. Factors Impacting Customers’Trust in E-businesses: An Empirical Study of Customers’Initial Trust in E-businesses. Doctor Dissertation, Southern Illinois University, 2003.
    [33] Komiak. The impact of internalization and familiarity on trust and adoption of recommendation agents. Ph dissertation of The university of British Columbia. June 15, 2003.
    [34] Komiak. Understanding Customer Trust in Agent-Mediated Electronic Commerce, Web-Mediated Electronic Commerce, and Traditional Commerce. Information Technology and Management, 2004(5), 181-07.
    [35] Lee, F., Vogel, D., & Limayem, M. Virtual community informatics: A review and research agenda. Journal of Information Technology Theory and Application, 2003, 5(1), 47-61.
    [36] Lee, K. O., & Turban, E. A Trust Model for Consumer Internet Shopping. International Journal of Electronic Commerce, 2001(6), 75-91
    [37] Murray, K. B. A Test of service Marketing Theory: Consumer Information Acquisition Activities. Journal of Marketing, 1991, 55(l), 10-15.
    [38] Netemeyer, R. G., & Bearden, W. O. A Comparative Analysis of Two Models of Behavioral Intention. Journal of the Academy of Marketing Science, 1992, 20(l), 49-59.
    [39] Pavlou, R. A., & Fygenson, M. Understanding and Predicting electronic commerce adoption: an extension of the theory of Planned behavior. MIS Quarterly, 2006, 30(l), 115-143.
    [40] Porter, C. E. A., Typology of Virtual Communities: A Multi-Disciplinary Foundation for Future Research. Journal of Computer-Mediated Communication, 2004, 10(l).
    [41] Price, L., & Feick, Punj & Staelin, L. The Role of Interpersonal Sources in External search: An Informational Perspective. Advances in Consumer Research, 2003(10), 250-255.
    [42] Pui-Lai, T., Chechen, L., & Tzu-Hua, L. Shopping motivations on internet: A study based on utilitarian and hedonic value. Technovation, 2008(27), 774-787.
    [43] Rheingold, H. Virtual Community: Homesteading on the Electronic Frontier. Reading, Mass, Addison-Wesley Inc, 1993.
    [44] Ridings, C. M., Gefen, D., & Arinze, B. Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, 2002, 11(3-4), 271-95.
    [45] Rothaermela, F. T. & Sugiyamab, S. Virtual internet communities and commercial success: individual and community-level theory grounded in the atypical case of TimeZone.com. Journal of Management, 2001, 27(3), 297-312.
    [46] Rotter. J. B. A New Scale of the Measurement of Interpersonal Trust. Journal of personality, 1967(35), 651-665.
    [47] Bansal & voyer, Sabel, C. F. Studies Trust: Building new forms of Cooperation in a Volatile Economy. Human Relations, 2000(46), 1133-1170.
    [48] Schmidt, J. B., & Spreng, R. A. A Proposed Model of External Consumer Information Search. Journal of the Academy of Marketing Science, 1996, 24(3), 246-256.
    [49] Smith, D. N. Trust Me, Would I Steer You Wrong? The Influence of Peer Recommendations within Virtual Communities. Doctoral Thesis, University of Illinois, Chicago, 2002.
    [50] SongPol, K., Chiquan, G., & Napatsawan, E. Determinants of online information search: a critical review and assessment. Internet Research, 2004, 14(3), 245-253.
    [51] Urbany, J. E., Dickson, P. R., & Wikie, W. L. Buyer Uncertainty and Information Search. The Journal of Consumer Research, 1989, 16(2), 208-215.
    [52] Voss, K. E., Spangenberg E. S., & Grohmann B. G. Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research, 2003, 40(3), 310-320.
    [53] Westbrook, R. A. Product/consumption-based affective responses and post purchase processes. Journal of Marketing Research, 1987, 24(3), 258-270.
    [54] Wilson, E. J., & Sherell, D. L. Source effects in communication and Persuasion research: A meta-analysis of effect size. Journal of the Academy of Marketing Science, 1993, (21), 101-112.
    [55] Yaobin, Lu., Ling, Z., & Bin, W. From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers, Purchase intention. Electronic Commerce Research and Applications, 2009, 102-121.
    [56] Zeithaml, V. A., Berry, L. L., & Parasuraman, A. The behavioral consequences of service quality. Journal of Marketing, 1996, 60(2), 31-47.
    [57] Zucker. L. G. Production of trust: Institutional sources of economic structure, 1840-1920, in Research in Organizational Behavior, eds. B. M. Staw and L. L. Cumings JAI Press, Greenwich, CT, 1986, 53-111.
    [58] Oliver, R. L.. Whence Consumer Loyalty [J]. Journal Of Marketing, 1999, 63(4):33–44
    [59] Blattberg, R. C., Deighton, J. Manage Marketing By The Customer Equity Test [J]. Harvard Business Review, 1996, 74(4):136-44.
    [60] Hallowell, R. The Relationships Of Customer Satisfaction, Customer Loyalty, And Profitability: An Empirical Study [J]. International Journal Of Service Industry Management, 1996, 7(4):27–42.
    [61] Page, M., Pitt, L., Berthon, P., Money, A. Analyzing Customer Defections And Their Effects On Corporate Performance: The Case Of Indio [J]. Journal Of Marketing Management, 1996, 12:617-627.
    [62] Ganesh, J., Arnold, M. J., And Reynolds, K. E. Understanding The Customer Base Of Service Providers: An Examination Of The Differences Between Switchers And Stayers [J]. Journal Of Marketing, 2000, 64(July):65-87.
    [63] Zeithaml, V., Berry, L. And Parasuraman, A. The Behavioral Consequences Of Service Quality [J]. Journal Of Marketing, 1996, 60:31-46.
    [64] Kotler, P.. Marketing Management: Analysis, Planning, And Control[M]. 6th Ed. Englewood Cliffs, NJ: Prentice-Hall. 1984.
    [65] Jacoby, J., Chestnut, R. W. Brand Loyalty Measurement And Management [M]. John Wiley And Sons. New York, 1978.
    [66] Delgado-Ballester, E., Munuera-AlemáN, J. L. Brand Trust In The Context Of Consumer Loyalty [J]. European Journal Of Marketing, 2001 ,35(11/12):1238-1258.
    [67] Chaudhuri, A., Holbrook, M. B. Product-Class Effects On Brand Commitment And Brand Outcomes: The Role Of Brand Trust And Brand Affect [J]. Journal Of Brand Management, 2002, 10(1):33-58.
    [68] Jensen, J. M., Hansen, T. An Empirical Examination Of Brand Loyalty [J]. Journal Of Product & Brand Management, 2006, 15(7):442–449.
    [69] Odin, Y., Odin, N., And Valette-Florence, P. Conceptual And Operational Aspects Of Brand Loyalty. An Empirical Investigation [J]. Journal Of Business Research, 2001, 53(2):75-84.
    [70] Rundle-Thiele, S., Bennett, R. A Brand For All Seasons? A Discussion Of Brand Loyalty Approaches And Their Applicability For Different Markets [J]. The Journal Of Product Brand Management, 2001, 10(1):25-37.
    [71] Fern, E. F., Brown, J. R. The Industrial/Consumer Marketing Dichotomy: A Case Of Insufficient Justification [J]. Journal Of Marketing, 1984, 48(Spring):68-77.
    [72] Assael, H. Consumer Behavior And Marketing Action[M]. Boston: Kent Publishing Company, 1984.
    [73] Rothschild, M. L. Perspectives On Involvement: Current Problems And Future Directions [J]. Advances In Consumer Research, 1984, 11:216-217.
    [74] Muncy, J. A. Measuring Perceived Brand Parity [J], Advances In Consumer Research, 1996, 23:411-417.
    [75] Gardner, B. B., And Levy, S. J. The Product And The Brand [J]. Harvard Business Review, 1955(March/April):33-39.
    [76] Kotler, P. Marketing Management, Analysis, Planning, Implementation, And Control [M]. Ninth Edition, Prentice-Hall International, Ine, 1997.
    [77] Chernatory, Leslie De. Brand Management [M]. England: Dartmouth Publishing Company Limited, 1998.
    [78] Elliott, R., Wattanasuwan, K. Brand As Symbolic Resources For The Construction Of Identity [J], International Journal Of Advertising, 1998, 17(2):131–144.
    [79] Leibenstein, H. Bandwagon, Snob, And Veblen Effects In The Theory Of Consumers’Demand [J], The Quarterly Journal Of Economics, 1950, 64(2):183-207.
    [80] Park, C. W., Ruef et al. Jaworski, B. J., Maclnnis, D. J. Strategic Brand Concept-Image Management [J]. Journal Of Marketing; 1986, 50(4):135-145. 2003, 136(2):4-9.
    [81] Ogilvy, David. Confessions Of An Advertising Man [M]. 1st Ed. New York: Atheneum, 1963.
    [82] Ries, A. L., Trout, J. Positioning: The Battle For Your Mind[M]. New York, NY: Mcgraw-Hill, 1971.
    [83] Keller, K. L., Aaker, D. A. The Effects of Sequential Introduction Of Brand Extensions [J]. Journal Of Marketing Research, 1992, 29(1):35-60.
    [84] Pitta, D. And Katsanis, L. Understanding Brand Equity For Successful Extension [J]. Journal Of Consumer Marketing, 1995, 12(4):51-64.
    [85] Aaker, David A. Managing Brand Equity: Capitalizing On The Value Of A Brand Name [M]. New York: The Free Press, 1991.
    [86] Keller K. Strategic Brand Management [M]. Prentice Hall, 1998.
    [87] Kapferer, J. N. Strategic Brand Management: Creating And Sustaining Brand Equity Long Term [M], Kogan Page, 1997.
    [88] Keller, K. L. The Brand Report Card [J]. Harvard Business Review, 2000, (1-2): 147-157.
    [89] Blackston, M. Observations: Building Brand Equity By Managing The Brand's Relationship [J]. Journal Of Advertising Research, 1992, 32(3):79-83.
    [90] Blackston, M. The Qualitative Dimension Of Brand Equity [J], Journal OfAdvertising Research, 1995, 35(4):2-7.
    [91] Fournier, S. Consumers And Their Brands: Developing Relationship Theory In Consumer Research [J]. Journal Of Consumer Research, 1998, 24(March):343-373.
    [92] Aggarwal, P. The Effects Of Brand Relationship Norms On Consumer Attitudes And Behavior [J]. Journal Of Consumer Research, 2004, 31(1):87-101.
    [93] Gronroos, C. The Rise And Fall Of Modern Marketing–And Its Rebirth [C]. In S. A. Shaw And N. Hood (Eds) Marketing In Evolution: Essays In Honour Of Michael J. Baker. London: Macmillan Press, 1996.
    [94] Blackston, M. Beyond Brand Personality: Building Brand Relationship [C]. In Advertising And Building Strong Brands: Proceedings Of The 10th Annual Conference Of The Society For Consumer Psychology, San Francisco, May 1991.
    [95] Anderson, E., Fornell, C., Lehmann, D. Customer Satisfaction, Market Share, And Profitability: Findings From Sweden [J]. Journal Of Marketing, 1994, 58:53-66.
    [96] Fornell, C. A National Customer Satisfaction Barometer: The Swedish Experience [J]. Journal Of Marketing, 1992, 56(January):6-21.
    [97] Oliver, Richard L. Effect Of Expectation And Disconfirmation On Post Exposure Product Evaluations: An Alternative Interpretation [J]. Journal Of Applied Psychology, 1977, 62(August):480-486.
    [98] Oliver, Richard L. A Cognitive Model Of The Antecedents And Consequences Of Satisfaction Decisions [J]. Journal Of Marketing Research, 1980, 17(November):460-469.
    [99] Fornell, C., Johnson, M. D., Anderson, E. W., Jaesung C., Bryant, B. E. The American Customer Satisfaction Index: Nature, Purpose, And Findings [J], Journal Of Marketing, 1996, 60(4):7-18
    [100] Oliver, R. L. Cognitive, Affective, And Attribute Bases Of The Satisfaction Response [J], The Journal Of Consumer Research, 1993, 20(3):418-430
    [101] Fishbein, M. Ajzen, I. Beliefs, Attitude, Intention And Behavior: An Introduction To Theory And Research [M]. Addison-Wesley, MA: Reading, 1975
    [102] Bughin, J, and Hagel III, J. The operational performance of virtual communities: Towards a successful business model. Electronic Markets, 2000, (4):237-243
    [103] Schubert, P, and Ginsburg, M. Virtual communities of transaction: The role of personalization in electronic commerce. Electronic Markets, 2000, (1):45-55
    [104] Vladimir. Z, Electronic commerce: structures and issues [J], International Journal of Electronic Markets, Volume 1,Number 1,p3-22,1996
    [105] Zwass, V., Electronic Commerce: Structures and Issues [J], International Journal of Electronic Commerce, Volume 1, Number 1,pp.3-23,1996
    [106] Rheingold, Howard, Virtual Community: Homesteading on the Electronic Frontier [M], Reading, Mass: Addison-Wesley, 1993.
    [107] HagelⅢ, John and Arthur G. Armstrong, Net Gain: Expanding Markets through Virtual Communities [M], Havard Business School Press,1997.
    [108] Komito, L.,“The Net as A Foraging Society: Flexible Communities”[J], The Information Society,Vol.14, 1998, pp.97-106
    [109] Figallo, Cliff, Hosting Web Communities: Building Relationships, Increasing Customer Loyalty, and Maintaining a Competitive Edge [M], John Wiley & Sons, Inc. New York, NY, 1998.
    [110] Howard Rheingold: The virtual community: homesteading on the electronic frontier, MIT Press, 2000
    [111] Alex Newson, Deryck Houghton, Justin Patten: Blogging and Other Soeial Media, Gower Publishing, Ltd., 2008
    [112] Hui-chih Wang, John G. Pallister, Gordon R. Foxall (2006). Innovativeness and Involvement as Determinants of Website Loyalty II Determinants of consumer loyalty in B2C e-commerce. [J]. technovation, (26), 1366-1373.
    [113] Christian Dussart (2001). Transformative Power of e-Business over consumer brands. [J]. European management journal, (19), 629-637.
    [114] Hoffma, D. L., Novak, T. P. & Chatterjee, P. (1995). Commercial Scenarios for the Web: Opportunities and Challenges. Project 2000: Research Program on Marketing in Computer-Mediated Environments.
    [115]金玉芳.消费者品牌信任研究[D].大连理工大学博士论文, 2005.
    [116]小池良次(2001),郭永富(译),《探索新的网路经济模式——网路商店的经营策略》,台北:传志文化股份有限公司
    [117]鍾瑄容(2001),《涉入程度、顾客满意度与忠诚度关系之研究——以网路商店类型及顾客关系结合类型分析》,中原大学企业管理学系研究所硕士论文
    [118]梁定澎(2002),《电子商务理论与实务》,台北:华泰文化事业股份有限公司
    [119]中国B2C电子商务项目可行性研究报告,2010年9月
    [120]“十二五”期间中国B2C电子商务行业发展预测及投资战略咨询报告,2010年10月
    [121] 2010-2015年中国B2C电子商务市场投资分析及前景预测报告,2010年8月
    [122] 2005中国B2C电子商务研究报告,2005年1月
    [123] 2009-2012年中国B2C电子商务市场深度调研与行业投资咨询研究报告,2009年7月
    [124]第24次中国互联网络发展状况统计报告[R],中国互联网络信息中心, 2009年7月
    [125]杜小连,B2C企业一对一营销战略分析——以卓越网和当当网为例[J],华商P32-33
    [126]冯智杰,中国B2C行业的主要经营模式及发展趋势分析[J],经济管理, 2005年5月10期P71-75
    [127]张昊,探索中国B2C电子商务的发展之路[J],科协论坛, 2007年第4期
    [128]张春明,中国B2C电子商务的发展现状分析[J], 2006年第7期P146-147
    [129]张婷,朱邦毅,中国B2C电子商务的三种类别的分析研究[J],商场现代化, 2009年2月
    [130]戚文静,刘学,基于多通道的B2C电子商务交互模型[J],计算机应用研究, 2009年2月第26卷第2期P6ll-613
    [131]吴恒亮,浅析我国B2C电子商务发展的若干问题[J],改革与战略, 2008年12期
    [132]薛松,我国电子商务发展中的问题及对策分析[J],中国科教创新导刊, 2007年第20期P185-186.
    [133]曹冬,电子商务模式研究[J],对外经济贸易大学, 2002年3月
    [134]喻朝熙,基于顾客满意的B2C在线销售电子商务模式研究[D],华中科技大学, 2006年
    [135]郭硕佳,B2C电子商务中影响消费者信任的前因研究[D],华中科技大学, 2006年10月
    [136]王正平,现代企业网络营销策略思考[D],华中师范大学, 2004年
    [137]汪杰,中国电子商务市场商业模式研究[D],北京邮电大学, 2007年5月
    [138]丛俊全,企业网络营销研究[D],对外经济贸易大学, 2005年
    [139] A. J.斯雷沃斯基等,王强译,《B-to-C电子商务》[M],北京:中国人民大学出版社, 2003年
    [140]埃里克·布伦乔尔森,格伦·厄尔本,《成功的第二代电子商务战略》[M],北京:高等教育出版社, 2006年
    [141]戴益,《关于电子商务中B2C发展问题的分析》,《商场现代化》[J], 2006年第35期, p168-169
    [142]丹尼尔·阿莫著,董兆一等译,《电子商务:变革与演进》[M],北京:机械工业出版社, 2003年
    [143]菲尔·卡彭特,《E品牌——快速建立自己的因特网业务》[M],北京:机械工业出版社, 2001年
    [144]王永龙,21世纪品牌运营方略[M],北京:人民邮电出版社, 2003.
    [145]霍映宝,韩之俊,顾客忠诚研究述评[J],商业研究, 2004, (4):77-80.
    [146]年小山,品牌学[M],北京:清华大学出版社, 2003.
    [147]严浩仁,顾客忠诚管理:机理分析与策略指导[M],北京:经济科学出版社, 2005.
    [148]王方华,服务营销[M],山西经济出版社, 1998.
    [149]于春玲,郑晓明,孙燕军,赵平,品牌信任结构维度的探索性研究[J],南开管理评论, 2004, 7(2):35-40.
    [150]王新新,新竞争力:品牌产权及品牌成长方式[M],长春出版社, 2000.
    [151]赵军,名牌:在传播中诞生[M],武汉:武汉大学出版社, 1999.
    [152]侯历华,王新新,国外品牌象征意义理论研究综述[J],外国经济与管理, 2007, 29(6):49-57.
    [153]孙华伟,胥勤利,品牌管理:企业与消费者的互动[J],企业活力, 2007,6:38-39.
    [154]卢泰宏,周志民,基于品牌关系的品牌理论:研究模型及展望[J],商业经济与管理
    [155]卢泰宏,黄胜兵,罗纪宁,论品牌资产的定义[J],中山大学学报(社会科学版), 2000, 40(4):17-22.
    [156] Aaker, D. A.品牌领导[M],新华出版社中译本, 2000.
    [157]刘新燕,刘雁妮,杨智,万后芬,构建新型顾客满意度指数模型——基于SCSB, Acsl, Ecsl的分析[J],南开管理评论, 2003(6):52-56.
    [158]王建军,张勇,池宏,我国商业银行客户忠诚度研究[J],南开管理评论, 2006, 9(4):29-34.
    [159]陈玉国,邓金娥,在线品牌与离线品牌之比较[J],华东经济管理,第18卷第4期, 150-152.
    [160]何建民,西方品牌理论述评—创建与管理品牌的方法[J],上海商业, 2001年第12期, 12-15.
    [161]黄劲松,赵平等,中国顾客重复购买意向的多水平研究[J],管理科学学报,第7卷第6期, 79-86.
    [162]计建,陈小平,品牌忠诚度行为——情感模型初探[J],外国经济与管理, 1999年第1期, 27-30, 40.
    [163]李继红,中国企业品牌管理的误区与对策研究[J],嘉应大学学报(哲学社会科学), 2003年第2期, 42-47.
    [164]李军军,李应荣,在线调查估计偏差分析及相应措施[J],统计与决策, 2005年3月(下), 26-28.
    [165]李克琴,喻建良,品牌忠诚分类研究[J],湖南大学学报(社会科学版), 2002年第3期, 25-28.
    [166]李雪梅,杨若平,关于培养消费者品牌忠诚度的思考[J],经济问题探索, 2001年第10期, 110-112.
    [167]廖洪强,消费者品牌选择行为的实证研究[J],现代管理科学, 2005年第11期, 63-64, 89.
    [168]刘惠,网络时代的客户忠诚[J],改革与理论, 2001年第10期, 23-24.
    [169]刘立,信息技术条件下的消费者行为特征[J],情报学报,第21卷第2期, 237-241.
    [170]陆娟,消费者品牌选择的影响因素——来自中国消费品市场的统计分析[J],经济科学, 2001年第6期, 114-124.
    [171]陆娟,张东晗,消费者品牌忠诚影响因素实证分析[J],财贸研究, 2004年第6期, 39-46.
    [172]骆乐,制约我国消费性电子商务发展的因素分析[J],上海企业, 2000年第11期, 30-32.
    [173]罗越,网络消费心理浅析[J],华南金融电脑, 2007年第9期, 27-29.
    [174]马冲,网络广告三大热点问题研究综述[J],新闻界, 2005年第3期, 113-114.
    [175]马非,浅谈利用因特网开展市场营销的实施步骤[J],广西经济管理干部学院学报, 2000年第3期, 41-42.
    [176]潘瑾,我国网上消费者特征及其行为分析[J],江苏商论, 2000年4月, 30-32.
    [177]屈韬,在线营销方案策划九忌[J],广东商学院学报, 2002年第5期, 54-56.
    [178]邵兵家,孟宪强,中国B2C电子商务中消费者信任影响因素的实证研究[J],科技进步与对策, 2005年第7期, 166-169.
    [179]沈蕾,邓丽梅,基于顾客满意度的品牌忠诚模型实证研究[J],管理评论, 57-62.
    [180]沈蕾,杨桂云,论品牌忠诚度的作用及影响因素[J],消费经济, 2001年第5期, 50-53.
    [181]宋先道,消费者对商品品牌忠诚度的调查分析[J],计划与市场, 2002年第1期, 33-34.
    [182]宋旭琴,向鑫,探析网络广告真面目[J],商业研究,总第247期, 133-134.
    [183]孙剑斌,刘福来,论在线零售模式下顾客忠诚的培育[J],商业时代?理论, 2005年第32期, 54-55.
    [184]王培章,网络广告的形式[J],中国工商管理研究, 2002年第4期, 73-75.
    [185]王延玲,如何有效地开展网上调查[J],市场研究, 2005年第4期, 59-60.
    [186]王永评,品牌竞争中的消费心理与应对策略[J],南都学坛(人文社会科学学报), 2003年第2期, 31-32.
    [187]武立波,网络营销—20世纪的市场营销手段[J],江西社会科学, 2000年第11期, 142-143.
    [188]吴良国,传统品牌塑造模式面临的挑战及对策探讨[J],科技与管理, 2005年第3期, 70-73.
    [189]西宝,杨晓冬,网络营销策略消费者行为黑箱与客户满意度[J],总第269期, 164-166.
    [190]徐家旺,姜波,在线消费者购买行为的决策过程[J],沈阳航空工业学院学报,第22卷第5期, 91-94.
    [191]徐洪水,消费者品牌忠诚探析[J],中共宁波市委党校学报, 2001年第3期, 28-30.
    [192]徐维军,卢致杰,卢致烽,网上图书交易的决策行为预测[J],科技进步与对策, 2005年第2期, 74-76.
    [193]姚黄,储雪林,商品与网络的适应关系[J],华东经济管理,第16卷第1期, 105-106.
    [194]叶乃沂,周国华,构建虚拟商店的影响因素分析[J],华东经济管理,第16卷第3期, 139-141.
    [195]叶文,网络消费者购买行为分析[J],上海大学学报(社会科学版),第8卷第4期, 51-55.
    [196]张昊嘉,我国在线零售存在的问题与对策[J],经济研究参考, 2005年第65期, 178-180.
    [197]张宗芳,周洪美,满意度与忠诚度关系浅析[J],江苏统计, 2003年第9期, 10-11.
    [198]赵定涛,陈世吉,品牌忠诚度——利润模型与品牌策略矩阵分析[J],科技进步与对策, 2004年第8期, 166-168.
    [199]郑肖维,浅谈网络营销[J],中国流通经济2000年增刊, 49-50
    [200]支芬和,田玲,敖静海,电子商务环境下客户忠诚的探究[J],商业研究,总第357期, 178-179, 185.
    [201]周磊,影响消费者对在线营销商信任的因素分析[J],上海经济研究, 2005年第7期, 80-86.
    [202]周一骑,焦观生,析消费者网上购买决策的形成及影响诸因素[J],消费经济,第21卷第2期, 82-85, 81.
    [203]朱彤,Internet市场效率悖论一个新的解释框架[J],世界经济, 2002年第2期, 12-20.
    [204]范秀成,品牌形象综合测评模型及其应用[J],南开学报(哲学社会科学版), 2002, 3, 65-71.
    [205]朱晓丹,论品牌忠诚度的构建和评估[J],北方经贸, 2000年第4期, 110-111.
    [206]道布斯,管理经济学:企业、市场和工商决策[M],上海:上海财经大学出版社, 2003.
    [207]毛波,尤雯雯,虚拟社区成员分类模型.清华大学学报(自然科学版), 2006, 46(51), 1069-1073.
    [208]吕惠萍,陈丰伟,张钊维,谁攻得下虚拟社群?——虚拟社区的建立与维持[M],诚品好读出版社, 2001, pp.17-22.
    [209]项国雄,胡健,传统的悖反与回归——虚拟社区内传播行为浅析[J],徐州工程学院学报, 2005, 20(2), p15-18.
    [210]易徽,网络虚拟社区的文化特色及其影响[J],西安政治学院学报, 2002, 15(1), p23-25.
    [211]冯永泰,论构建和谐虚拟社区[J],西华大学学报(哲学社会科学版), 2006, 25(1), p6-8.
    [212]彭华民,候莹,论虚拟社区与人际互动[J],重庆邮电学院学报(社会科学版), 2001, 2(5), p11-15.
    [213]柴晋颖,王飞绒,虚拟社区研究现状及展望[J],情报杂志, 2007, p101-103.
    [214]丁耀民,人际关系网络对虚拟社群使用意愿的影响[D],台湾清华大学, 2005.
    [215]姜益民,乐庆玲,基于知识共享的虚拟社区构建研究[J],情报杂志, 2008, 27(4):15-17.
    [216]余添佳,虚拟社区知识共享机制研究[J],现代商业, 2008, (32).
    [217]刘向晖,《网络营销导论》[M],清华大学出版社, 2005年.
    [218]李斗熙,吕一林,《网络营销》[M],中国人民大学出版社, 2007年.
    [219]畅榕,《虚拟品牌社区研究》[M],中国传媒大学出版社, 2007年08月.
    [220]曼纽尔·卡斯特著,夏铸九,王志弘译,《网络社会的崛起》[M],社会科学文献出版社, 2001年06月.
    [221]王传磊,黄卫东,《虚拟社区营销策略及其循环经济性分析》,《商场现代化》[J], 2008年1月.
    [222]俞燕,《新传播环境下的意见领袖》,《新闻爱好者》[J], 2007年05月.
    [223]黄亮新,《社区营销的实质与模式》,《广告大观》[J], 2007年07月.
    [224]吴清华,《精准营销和社群营销将是互联网营销的主流》,《广告大观》[J], 2007年07月.
    [225]张进,黄俊华,《网络时代的人际传播特点》,《新闻前哨》[J], 2007年9月.
    [226]徐小龙,王方华,《基于网络虚拟社区平台的企业战略营销模型》,《经济管理》[J], 2008年3月.
    [227]《成功营销》杂志行业热点沙龙:《社区营销路在何方》,《成功营销》[J], 2007年9月.
    [228]鲁一,《网络社区营销之性与道》,《互联网周刊》[J], 2008年4月.
    [229]高俊波,杨静,《在线论坛中的意见领袖分析》,《电子科技大学学报》[J], 2007年12月.
    [230]李静静,《虚拟社区对消费者决策过程的影响》,《商业文化》[J], 2007年7月.
    [231]张传香,《网络社会与网络人际传播》,《新闻战线》[J], 2008年9月.
    [232]常立,《百度贴吧的传播模式解读》,《新闻界》[J], 2007年5月.
    [233]战庆文,李国锋,杜朝晖,《面向网络虚拟社区的营销危机预警研究》,《商场现代化》[J], 2008年7月.
    [234]汪涛,李燕萍,《虚拟社区中推荐者特征对推荐效果的影响》,《商业经济与管理》[J], 2007年11月.
    [235]马庆国,《管理统计:数据获取、统计原理与SPSS工具与应用研究》[M],北京:科学出版社, 2002年第1版.

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