虚拟社区信息质量建模及感知差异性比较研究
|
摘要
信息质量问题是在信息社会发展过程中产生,也是伴随着信息资源开发利用活动向纵深发展而被加剧的问题,是由信息资源无限增长与人的吸收利用能力有限,信息分布和流向不确定与用户需求多样化之间的矛盾造成的。基于Web2.0模式的虚拟社区的出现为信息交流提供了更广阔的平台,人们可以根据自己的兴趣参与到特定主题的社区中自由发布和搜寻信息。虚拟社区的出现促使可获得的信息数量激增,由用户共同创造内容形成的信息源改变了人们的信息搜寻行为,传统的信息传播模式发生了巨大的变化,由此也引发了各种的信息质量问题,信息的准确性、完整性、可理解性、权威性和及时性等质量特征受到更加广泛的关注。目前国内外对信息质量领域的研究,在基础理论、评价框架和情境研究中均形成了一定的体系,具有各自研究的特色。但是与国外的研究相比,我国学者立足于信息资源管理学的学科特点,从信息用户视角出发采用实证研究方法对信息质量问题进行系统、深入研究的文章并不多。而当今受到互联网信息技术的深刻影响,虚拟社区环境信息海量增长与用户的信息能力不足之间的矛盾急需要通过有效改善信息质量来加以解决,因此,本文以虚拟社区环境为背景,探究信息质量建模问题,以及社区用户在信息提供和信息消费过程中对信息质量的感知,以信息用户为中心充分展现他们眼中的信息质量问题并提出相应的优化策略。
论文的结构分为引言和正文的六个部分。
引言部分,主要介绍选题背景和意义、国内外研究现状、本研究的目标、内容、思路以及方法。
第一章是研究的理论基础。本章系统地阐述信息质量的有关概念和虚拟社区的相关研究,以信息传播理论为基础,分析了虚拟社区信息传播模式的特征及其对信息质量产生的影响,为后文虚拟社区信息质量建模奠定理论基础。
第二章是分析虚拟社区信息质量的体系框架和维度。在对现有信息质量变量的文献研究基础上确定信息质量的维度。
第三章是对虚拟社区信息质量的维度结构进行探索性因子分析。设计并收集到有效问卷342份,运用因子分析法确定虚拟社区信息质量的因子结构。
第四章是虚拟社区信息质量的概念模型构建和验证。在探索性因子分析的基础上,结合文献研究和访谈结论设计概念模型,提出研究假设。通过问卷调查收集有效问卷376份进行实证研究,验证模型的信度、效度和假设。
第五章是虚拟社区信息质量感知差异比较。运行Smart PLS2.0软件获得虚拟社区信息质量、信息内容质量、信息效用质量、信息载体质量、真实性、表达完整性、及时性、适合性、整合性、易操作性、系统性能、安全性等12个潜变量的得分,依次从性别、年龄、受教育程度、职业、互联网使用经历、主题偏好6个方面比较样本人群对上述信息质量各阶变量的感知差异,同时也将样本分成信息提供者和信息消费者两部分,比较得出这两部分人群的感知差异特征。
第六章是研究结论、理论贡献、实践贡献以及研究的不足和展望。
经过理论和实证分析,本文得到以下三个方面的结论：
第一,信息传播学理论能够为解决虚拟社区信息质量问题提供理论依据。信息传播模式中涉及的三个关键要素,信息、信息传播渠道、传播效果分别与虚拟社区信息内容、网站系统、用户的信息效用变化存在内在的联系性,借助焦点小组访谈和探索性因子分析得到虚拟社区信息质量的三个高阶因子——信息内容质量、信息载体质量和信息效用质量,确定了信息传播模式的三要素与虚拟社区信息质量因子结构的内在对应关系。
第二,信息具有真实性和信息安全保护是虚拟社区用户感知高质量信息的关键所在。真实性是信息内容质量的正向反映,体现了信息内容的正确、可靠、来源权威,是形成虚拟社区信任的基础。在对信息提供者和信息消费者进行感知差异性比较中也发现,信息提供者比信息消费者更加重视信息的真实性。安全性是信息载体质量的正向反映,体现了信息交互过程中对用户个人隐私的保护。在基于样本特征的安全性感知差异比较中发现,各年龄层的用户都对安全性给予了高度的重视。与其它职业群体相比,党政机关公务人员更重视安全性；具有本科学历的人在安全性感知方面普遍高于其它学历层次的人。社区成员在提供(搜寻)医疗健康类信息时对安全性感知显著区别于提供(搜寻)其它类型信息。
第三,提升虚拟社区用户对高质量信息的感知需要从社区的管理者、设计者和社区用户三个主体出发采取相应的措施。虚拟社区的管理者和设计者应该确保社区网站的内容安排合理、导航清晰、链接畅通、响应及时、系统操作方便,以及提供多种信息分享渠道和整合多种社交媒体功能。对于社区信息用户,应该不断提升自己的信息素养和信息识别能力,维护社区良好的信息环境和信息秩序。
本文系国家自然科学基金项目“信息资源配置影响因素和行为模式研究”(批准号：71073118)的研究成果。
The issue of information quality is generated in the development of the information society, exacerbated due to the information resources development and utilization in depth, the limited capacity of the absorption and utilization of information resources, as well as the contradictions between the diversity of user demand arid the uncertainty of the distribution and direction of information flow. Web2.0-based virtual community provides a broader platform for the exchange of information. People can supply and seek for information freely in different virtual community based on their interests. Substantial increase in the amount of available information is from users generate content which has changed information seeking behavior. The traditional mode of information communication has undergone tremendous change leading to a variety of information quality problems. The quality characteristics of accuracy, completeness, understandability, authoritative and currency are of widespread concern. Foreign information quality research has formed a research paradigm in terms of theory, the evaluation framework and contextual research. But compared with foreign research, the issue of information quality is rarely studied from the Information Resource Management Science and the information users'perspectives and employing the empirical research. Today, the Internet has had a profound impact on us. The contradictions between the limited information capability and unlimited growth of the information in the context of virtual community need to be addressed effectively by improving information quality. Therefore, using user-oriented method, this study explores the information users' perceptions of the information quality during information submitted and received in the context of virtual community to put forward the corresponding optimization strategy.
The structure of the paper is divided into introduction and six parts of main body.
The introduction section mainly introduces the research background and significance, research status at home and abroad, the research objectives, content, ideas, and methods.
The first chapter is the theoretical basis of the study. This chapter expounds the concepts of the information quality and virtual community of related research systematically. Based on the Information Communication theory, the characteristics of information communication in the context of virtual community and its impact on the information quality are analyzed.
The second chapter analyzes information quality framework and dimensions in the context of virtual community. Determine the dimensions of the information quality and research variables on the basis of existing literature.
The third chapter takes a method of exploratory factor analysis is carried out in order to determine the framework of information quality in the context of virtual community. Questionnaire design and a sample of342are used. A method of principal component factor analysis is used to determine the factor structure of information quality in the context of virtual community.
The fourth chapter is the construction of an information quality conceptual model in the context of virtual community. On the basis of exploratory factor analysis, combined with literature research and interviews, the hypotheses and conceptual model are developed. Then questionnaire design and a sample of342are used to conducted empirical analysis, including reliability analysis, validity analysis and hypotheses testing.
The fifth chapter is perceived difference comparison of information quality in the context of virtual community. Smart PLS2.0software is running to get12latent variable score of information quality in the context of virtual community, information content quality, information utility quality, information media quality, authenticity, expression completeness, currency, suitability, integrity, ease of operation, system performance, security. Then perceived differences of information quality in the context of virtual community are compared from six perspectives of gender, age, level of education, occupation, Internet experience, topic preferences, as well as from the perspective of information providers and information consumers.
The sixth chapter is given some suggestions. The main content and conclusion of the dissertation are concluded. The disadvantages are reflected. The future research is prospected.
The discussion of the implications for both theory and practice is as follows:
(i) Information Communication Theory provides a theoretical implication for solving information quality problem in the context of virtual community. The three key elements as information, information effects and media link to virtual community's information contents, the perception of information utility and Website system. With the focus group interviews and exploratory factor analysis, this paper identifies three high-order factors of information content quality, information utility quality and information media quality which corresponds to three key elements of Information Communication Theory.
(ii) Authenticity and security is the key to the percepection of high-quality information in the context of virtual community. Authenticity is the positive reflection of the information content quality which reflects correct, reliable and authority. Authenticity is the basis to form trust in the context of virtual community. It is found that the information provider paid more attention to the authenticity than information consumer. Security is the positive reflection of the information media quality which reflects the users'personal privacy in the information communication process. It is found that regardless of age, security is given the high degree of attention. Compared with other professions, party and government officials pay more attention to security. People who have a bachelor's degree are generally higher than other academic levels. Perceived difference is more significant when community members providing/searching medical health information than other types of information,
(iii) Managers, desigers and users of community should take appropriate measures to improve information quality together. Managers and designers should ensure that the community site reasonable, clear navigation, links smooth, timely response, easy to operate, and provide a variety of channels of information exchange and a variety of social media features. The users should constantly improve their information literacy and information recognition capability, and safeguard the information environment consciously.
This study is supported by National Natural Science Foundation of China (NSFC)[grant number71073118].
论文的结构分为引言和正文的六个部分。
引言部分,主要介绍选题背景和意义、国内外研究现状、本研究的目标、内容、思路以及方法。
第一章是研究的理论基础。本章系统地阐述信息质量的有关概念和虚拟社区的相关研究,以信息传播理论为基础,分析了虚拟社区信息传播模式的特征及其对信息质量产生的影响,为后文虚拟社区信息质量建模奠定理论基础。
第二章是分析虚拟社区信息质量的体系框架和维度。在对现有信息质量变量的文献研究基础上确定信息质量的维度。
第三章是对虚拟社区信息质量的维度结构进行探索性因子分析。设计并收集到有效问卷342份,运用因子分析法确定虚拟社区信息质量的因子结构。
第四章是虚拟社区信息质量的概念模型构建和验证。在探索性因子分析的基础上,结合文献研究和访谈结论设计概念模型,提出研究假设。通过问卷调查收集有效问卷376份进行实证研究,验证模型的信度、效度和假设。
第五章是虚拟社区信息质量感知差异比较。运行Smart PLS2.0软件获得虚拟社区信息质量、信息内容质量、信息效用质量、信息载体质量、真实性、表达完整性、及时性、适合性、整合性、易操作性、系统性能、安全性等12个潜变量的得分,依次从性别、年龄、受教育程度、职业、互联网使用经历、主题偏好6个方面比较样本人群对上述信息质量各阶变量的感知差异,同时也将样本分成信息提供者和信息消费者两部分,比较得出这两部分人群的感知差异特征。
第六章是研究结论、理论贡献、实践贡献以及研究的不足和展望。
经过理论和实证分析,本文得到以下三个方面的结论：
第一,信息传播学理论能够为解决虚拟社区信息质量问题提供理论依据。信息传播模式中涉及的三个关键要素,信息、信息传播渠道、传播效果分别与虚拟社区信息内容、网站系统、用户的信息效用变化存在内在的联系性,借助焦点小组访谈和探索性因子分析得到虚拟社区信息质量的三个高阶因子——信息内容质量、信息载体质量和信息效用质量,确定了信息传播模式的三要素与虚拟社区信息质量因子结构的内在对应关系。
第二,信息具有真实性和信息安全保护是虚拟社区用户感知高质量信息的关键所在。真实性是信息内容质量的正向反映,体现了信息内容的正确、可靠、来源权威,是形成虚拟社区信任的基础。在对信息提供者和信息消费者进行感知差异性比较中也发现,信息提供者比信息消费者更加重视信息的真实性。安全性是信息载体质量的正向反映,体现了信息交互过程中对用户个人隐私的保护。在基于样本特征的安全性感知差异比较中发现,各年龄层的用户都对安全性给予了高度的重视。与其它职业群体相比,党政机关公务人员更重视安全性；具有本科学历的人在安全性感知方面普遍高于其它学历层次的人。社区成员在提供(搜寻)医疗健康类信息时对安全性感知显著区别于提供(搜寻)其它类型信息。
第三,提升虚拟社区用户对高质量信息的感知需要从社区的管理者、设计者和社区用户三个主体出发采取相应的措施。虚拟社区的管理者和设计者应该确保社区网站的内容安排合理、导航清晰、链接畅通、响应及时、系统操作方便,以及提供多种信息分享渠道和整合多种社交媒体功能。对于社区信息用户,应该不断提升自己的信息素养和信息识别能力,维护社区良好的信息环境和信息秩序。
本文系国家自然科学基金项目“信息资源配置影响因素和行为模式研究”(批准号：71073118)的研究成果。
The issue of information quality is generated in the development of the information society, exacerbated due to the information resources development and utilization in depth, the limited capacity of the absorption and utilization of information resources, as well as the contradictions between the diversity of user demand arid the uncertainty of the distribution and direction of information flow. Web2.0-based virtual community provides a broader platform for the exchange of information. People can supply and seek for information freely in different virtual community based on their interests. Substantial increase in the amount of available information is from users generate content which has changed information seeking behavior. The traditional mode of information communication has undergone tremendous change leading to a variety of information quality problems. The quality characteristics of accuracy, completeness, understandability, authoritative and currency are of widespread concern. Foreign information quality research has formed a research paradigm in terms of theory, the evaluation framework and contextual research. But compared with foreign research, the issue of information quality is rarely studied from the Information Resource Management Science and the information users'perspectives and employing the empirical research. Today, the Internet has had a profound impact on us. The contradictions between the limited information capability and unlimited growth of the information in the context of virtual community need to be addressed effectively by improving information quality. Therefore, using user-oriented method, this study explores the information users' perceptions of the information quality during information submitted and received in the context of virtual community to put forward the corresponding optimization strategy.
The structure of the paper is divided into introduction and six parts of main body.
The introduction section mainly introduces the research background and significance, research status at home and abroad, the research objectives, content, ideas, and methods.
The first chapter is the theoretical basis of the study. This chapter expounds the concepts of the information quality and virtual community of related research systematically. Based on the Information Communication theory, the characteristics of information communication in the context of virtual community and its impact on the information quality are analyzed.
The second chapter analyzes information quality framework and dimensions in the context of virtual community. Determine the dimensions of the information quality and research variables on the basis of existing literature.
The third chapter takes a method of exploratory factor analysis is carried out in order to determine the framework of information quality in the context of virtual community. Questionnaire design and a sample of342are used. A method of principal component factor analysis is used to determine the factor structure of information quality in the context of virtual community.
The fourth chapter is the construction of an information quality conceptual model in the context of virtual community. On the basis of exploratory factor analysis, combined with literature research and interviews, the hypotheses and conceptual model are developed. Then questionnaire design and a sample of342are used to conducted empirical analysis, including reliability analysis, validity analysis and hypotheses testing.
The fifth chapter is perceived difference comparison of information quality in the context of virtual community. Smart PLS2.0software is running to get12latent variable score of information quality in the context of virtual community, information content quality, information utility quality, information media quality, authenticity, expression completeness, currency, suitability, integrity, ease of operation, system performance, security. Then perceived differences of information quality in the context of virtual community are compared from six perspectives of gender, age, level of education, occupation, Internet experience, topic preferences, as well as from the perspective of information providers and information consumers.
The sixth chapter is given some suggestions. The main content and conclusion of the dissertation are concluded. The disadvantages are reflected. The future research is prospected.
The discussion of the implications for both theory and practice is as follows:
(i) Information Communication Theory provides a theoretical implication for solving information quality problem in the context of virtual community. The three key elements as information, information effects and media link to virtual community's information contents, the perception of information utility and Website system. With the focus group interviews and exploratory factor analysis, this paper identifies three high-order factors of information content quality, information utility quality and information media quality which corresponds to three key elements of Information Communication Theory.
(ii) Authenticity and security is the key to the percepection of high-quality information in the context of virtual community. Authenticity is the positive reflection of the information content quality which reflects correct, reliable and authority. Authenticity is the basis to form trust in the context of virtual community. It is found that the information provider paid more attention to the authenticity than information consumer. Security is the positive reflection of the information media quality which reflects the users'personal privacy in the information communication process. It is found that regardless of age, security is given the high degree of attention. Compared with other professions, party and government officials pay more attention to security. People who have a bachelor's degree are generally higher than other academic levels. Perceived difference is more significant when community members providing/searching medical health information than other types of information,
(iii) Managers, desigers and users of community should take appropriate measures to improve information quality together. Managers and designers should ensure that the community site reasonable, clear navigation, links smooth, timely response, easy to operate, and provide a variety of channels of information exchange and a variety of social media features. The users should constantly improve their information literacy and information recognition capability, and safeguard the information environment consciously.
This study is supported by National Natural Science Foundation of China (NSFC)[grant number71073118].
引文
①Kelton, K. Trust in digital information. Journal of the American Society for Information Science and Technology,2008,59(3),363-374.
②朱东红.网络社区交互对消费者购买意愿的影响：基于比较的视角[D].武汉：华中科技大学,2012.
③倪波.信息传播原理[M].北京：书目文献出版社,1996,p.8.
① Eppler, M., Muenzenmayer, P. Measuring information quality in the web context:A survey of state-of-the-art instruments and an application methodology. Proceedings of the Seventh International Conference on Information Quality,2002,187-196.
②Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of the International Conference on Information Quality,2000. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.6523&rep=rep1&type=pdf [2002-9-12].
③倪波.信息传播原理[M].北京：书目文献出版社,1996,p.338.
④Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95.
⑤Damman, O. C., Hendriks, M., Rademakers, J., Spreeuwenberg, P., Delnoij, D., Groenewegen, P. Consumers' interpretation and use of comparative information on the quality of health care:The effect of presentation approaches. Health Expectations,2012,15(2),197-211.
⑥Yang, X., Zheng, H., Zheng, B. Analysis and design of quality management information system based on UML and BPR.3rd International Institute of Statistics and Management Engineering Symposium,2010.
①章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
②朱兰.质量管理回顾与展望[J].冶金标准化与质量,1995(4),28-35.
③宋立荣,诸军亮.网络信息环境下信息质量管理的初步认识[J].现代情报,2009,29(10),53-56.
①冯慧玲,周晓英.信息资源管理研究与教育：一个大有作为的领域[J].图书情报工作,2004(9),24-27.
②查先进.信息资源配置与共享[M].武汉:武汉大学出版社,2008.
③宋立荣,李思经.从数据质量到信息质量的发展[J].情报科学,2009,28(2),182-156.
①CIRCULAR NO. A-130.1985. http://www.whitehouse.gov/omb/circulars_a130 [2012-7-10].
②Paperwork Reduction Act of 1995.1995. http://www.cio.gov/documents/paperwork_reduction_act_1995.html [2012-7-10].
③宋立荣,彭洁.美国政府“信息质量法”的介绍及其启示[J].情报杂志,2012,31(2),12-18.
④Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
⑤Welsh Assembly Government. NHS Wales Informatics Service.1997. Caldicott:Principles into Practice [Online]. http://www.wales.nhs.uk/sites3/home.cfm?orgid=783 [2012-8-10].
⑥Canadian Institute for Health Information. The CIHI Data Quality Framework. Ottawa, Ontario: CIHI.2009. http://www.cihi.ca/cihiweb/en/downloads/data quality framework 2009 e.pdf. [2012-8-10].
⑦Kerr, K. The institutionalisation of data quality in the New Zealand health sector. University of Auckland,2006.
①Wei, K.-K., Teo, H.-H, Chan, H. C., Tan, B. C. Y. Conceptualizing and testing a social cognitive model of the digital divide. Information System Research,2011,22(1),170-187.
②Forbes, J. D. Bridging the second digital divide:Readability of news web sites. California State University,2002.
English, L. The years of information quality advances what next.2001. http://www.information-management.com/issues/20010201/3009-1.html [2012-7-11].
②Hansen, M. Zero defect data:Tackling the corporate data quality problem, Cambridge:MIT Sloan School of Management,1991.
③Juran, J. Juran on quality by design. New York, NY:the free press,1992.
④Deming, W. E. The new economics for industry, government, education. Cambridge: Massachusetts Institute of Technology,1993.
①Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
②Fisher, C., Lauria, E., Chengular-Smith, S., Wang, R. Y. Introduction to information quality. United Kingdom:AuthorHouse,2006.
③Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
①Madnick, S., Lee, Y., Wang, R., Zhu, H. Overview and framework for data and information quality research. ACM J. Data Inform,2009,1(1),2-22.
②Klein, B. D., Goodhue, D. L., Davis, G. B. Can humans detect errors in data? Impact of base rates, incentives, and goals. MIS Guarterly,1997,21(2),169-194.
③Juran, J. Juran on quality by design. New York, NY:the free press,1992.
④Wang, R. Y, Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
⑤Eppler, M. Managing information quality:Increasing the value of information i knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
⑥Pipino, L. L., Lee, Y. W., Wang, R. Y. Data quality assessment. Communications of the ACM, 2002,45(4),211-218.
⑦Ballou, D., Pazer, H. L. Modeling data and process quality in multi-input, multi-output information systems. Management science,1985,31(2),150-162.
⑧Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
②Damman, O. C., Hendriks, M., Rademakers, J., Spreeuwenberg, P., Delnoij, D., Groenewegen, P. Consumers' interpretation and use of comparative information on the quality of health care:The effect of presentation approaches. Health Expectations,2012,15(2),197-211.
③Yang, X., Zheng, H., Zheng, B. Analysis and design of quality management information system based on UML and BPR.3rd International Institute of Statistics and Management Engineering Symposium,2010.
④Sellami, M., Talbi, M. Quality management in information systems for combating desertification and dry lands management. NATO Advanced Research Workshop on Desertification and Risk Analysis Using High and Medium Satellite Date, Tozeur, Tunisia,2008.
⑤Li, H., Lin, B. S. Accessing information sharing and information quality in supply chain management. Decision Support System,2006,42(11),1641-1656.
⑥Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
⑦Zeist, R. H. J., Hendriks, P. R. H. Specifying software quality with the extended ISO model. Software Quality Journal,1996,5(4),273-284.
①Shanks, G., Corbitt, B. Understanding data quality:Social and cultural aspects. Proceedings of the 10th Australasian Conference on Information Systems,1999.
②Dedeke, A. A conceptual framework for developing quality measures for information systems. Proceedings of 5th International Conference on Information Quality,2000.
①Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of 5th International Conference on Information Quality,2000.
②Klein, B. D. When do users detect information quality problems on the World Wide Web? Proceedings of AMCIS,2002.
①林寅.提高信息质量促进企业科学决策——运用织布机监测数据改进现场管理[J].数量经济技术经济研究,1984(7),53-59.
②高智勇,高建民,王侃昌,陈富明,刘军强.基于信息结构要素的信息质量定义与内涵分析[J].计算机集成制造系统,2006,12(10),1724-1728.
③曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002,84(4),6-8,p.7.
①查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
②冯敏.基于数据包络分析(DEA)的组织信息质量评价[D].上海：华东理工大学,2005.
③马小闳,龚国伟.信息质量评估研究[J].情报杂志,2006(5),19-21.
④郝金星.基于ISO 9000:2000质量管理体系的企业信息质量管理研究[D].武汉：武汉大学,2004.
⑤王颖.企业统计数据质量影响因素研究[D].浙江：浙江大学,2006.
⑥胡磊.互联网学术信息质量启发式评价中存在的问题分析[J].情报科学,2011,29(2),178-181.
⑦刘冰,卢爽.基于用户体验的信息质量综合评价体系研究[J].图书情报工作,2011,55(22),56-59.
⑧余玮.改进企业网上财务信息质量[J].中国会计电算化,2003(6),7-8.
①Alex, D., Michael, C., Peter, A. Risk management for software projects (2nd ed.). Berkshire, England:McGraw-Hill Book Company,1994.
②Garvin, D. A. Managing guality. New York, NY:The Free Press,1988.
⑧Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
①Strong, D. M., Lee, Y., Wang, R. Y. Data Quality in Context. Communications of the ACM,1997, 40(5),103-110.
②Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
①Eppler, M J. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2003. http://mitiq.mit.edu/ICIQ/Documents/IQ%20Conference%202001/Papers/AGenericFramework4I QinKnowledgeIntenProc.pdf [2012-8-10].
②Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
③宋立荣.基于网络共享的农业科技信息质量管理研究[D].北京：中国农业科学院,2008.
④Madnick, S. E., Lee, Y. W., Wang, R. Y., Zhu, H. Overview and framework for data and information quality research. ACM J. Data Inform. Quality,2009,1(1),2-22.
①苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
②Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34, pp.7.
③Rai, A., Al-Hindi, H. The effects of development process modeling and task uncertainty on development quality performance. Information and Management,2000,37(6),335-346.
④Gemoets, L. A., Mahmood, M. A. Effect of the quality of user documentation on user satisfaction with information systems. Information and Management,1990,18(1),47-54.
⑤Kettinger, W. J., Lee, C. C. Perceived service quality and user satisfaction with the information services function. Decision Sciences,1994,25(5-6),737-766.
⑥Liu, C., Arnett, K. P. Exploring the factors associated with web site success in the context of electronic commerce. Information and Management,2000,38 (1),23-33.
①克劳斯比.零缺点的质量管理[M].北京：三联书店,1994.
②章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
③Juran, J. Juran on quality by design.1992, New York, NY:The Free Press.
④McClave, J., Benson, P. A first courses in business statistics (5th ed.).1992, New York, NY: Macmillan.
⑤Harmon, G. Progress in Communication Sciences. Journal of the American Sociaty for Information Science,2007,39(2),99-100.
⑥Evans, J., Lindsay, W. The management and control of quality (6 ed.).2005, Mason, OH: Thomson.
⑦Kahn, B. K., Stong, D. M. Product and service performance model for information quality:An update,1998, in:Chengalur-Smith, I., Pipino, L. L. Proceedings of the 1998 Conference on Information Quality,1998.
⑧Eppler, M. J. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2003.
⑨Rieh, S. Y. Judgment of information quality and cognitive authority in the web. Journal of the American Sociaty for Information Science and Technology,2002,53(2),145-161.
⑩The Department of Health and Children. Proposed Health Information Bill.2011. http://www.dohc.ie/issues/hib/[2012-07-21].
①Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes.2003, Berlin, Germany:Springer-Verlag.
②Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Sociaty for Information Science,2009,60(5),1012-1026.
③Stvilia, B. Measuring information quality. University of Illinois,2006, p.19.
④Porter, M. E. Towards a dynamic theory of strategy. Strategic Management Journal,1991, S2(12), 95-117.
⑤Booch, G., Rurnbaugh, J., Jacobson, I. The unified modeling language user guide.1999, Redwood City, CA:Addison Wesley Longman Publishing.
①United Nations Statistics Division. http://unstats.un.org/unsd/class/family/default.asp [2012-11-9].
②Morey, R. C. Estimating and improving the quality of information in the MIS. Communications of the ACM,1982,25(5),337-342.
③Laudon, K. C. Data quality and due process in large interorganizational record systems. Communications of the ACM,1986,29(1),4-11.
④Ballou, D. P., Pazer, H. L. Modeling data and process quality in multi-input, multi-output information systems. Management Science,1985,31(2),150-162.
⑤Delone, W. H., McLean, E. R. Information systems success:The quest for the dependent variable. Information Systems Research,1992,3(1),60-95.
⑥Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
②Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-192.
③Alexander, J. E., Tate, M. A. Web wisdom:How to evaluate and create information quality on the web.1999, Mahwah, NJ:Erlbaum.
④Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
①Huang, K.-T., Lee, Y. W., Wang, R. Y. Quality information and knowledge.1999, New Jersey: Prentice Hall.
②Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
③Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
④Klein, B. D. When do users detect information quality problems on the World Wide Web? Proceeding of eighth Americas Conference on Information Systems,2002.
①Canadian Institute for Health Information. The CIHI Data Quality Framework. Ottawa, Ontario: CIHI.2009. http://www.cihi.ca/cihiweb/en/downloads/data_quality_framework_2009_e.pdf. [2012-8-10]
②Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
②Rheingold, H. Virtual community:homesteading in the electronic frontoer.1993, MA: Addison-Wesley.
③Brown, A. L., Ellery, S., Campione, J. C. Creating zones of proximal development electronically in Thinking practices in mathematics and science learning.1998, NJ:Lawrence Erlbaun.
④Balasubramanian, S., Mahajan, V. The economic lever age of the virtual community. Intemational Journal of Electronic Commerce,2001,5(3),103-138.
①范晓屏.非交易类虚拟社区成员参与动机：实证研究与管理启示[J].管理工程学报,2009,23(1),1-6.
②杨彦青.知识型虚拟社区客户价值影响因素及客户忠诚度研究[D].浙江：浙江大学,2009.
③Ray, O. Big companies plug big causes for big gains. Business & Society Review,1995,52(13), 22-23.
④Hagel, J., Armstrong, A. Net gain:Expanding markets through virtual cornnnunities.1997, Massachusetts:Harvard Business Sehool Press.
⑤Romm, C., Pliskin, N., Clarke, R. Virtual communities and society:Toward an integrative three phrase model. International Journal of Information Management,1997,17(4),261-270.
⑥Lee, F. S. Vogel, D., Limayem, M. Virtual community informatics:A review and research agenda. Journal of Information Technology and Application,2003,5(1),47-61.
⑦王飞绒,龚建立,柴晋颖.虚拟社区知识共享运作机制研究[J].虚拟社区知识共享运作机制研究浙江学刊,2007(5),201-205.
⑧孙丽萍.虚拟社区中的知识分享行为分析.合作经济与科技,2007(11),54-55.
①Chiu, C.-M., Hsu, M.-H., Wang, E. T. G. Understanding knowledge sharing in virtual communities:An integration of social capital and social cognitive theories. Decision Support Systems,2006,42(3),1872-1888.
②2012年1月中国互联网统计报告http://www.cnnic.net.cn/[2012-11-9].
①Armstrong, A., Hagel, J. The real value of online communities. Harvard Business Review,1996, 74(3),134-141.
②Kozinets, V. E-tribalized marketing:The strategic implications of virtual communities of consumption. European Management Journal,1999,17(3),252-264.
③Verwijs, C., Mulder, I., Slagter, R., de Poot, H. Positioning communities:A study on the state of the art of professional and learning communities.2001. https://doc.telin.nl/dsweb/Get/Document-13740/position_communi ties.pdf [2012-9-12].
④连征忠.虚拟社群成员信任关系之探讨[D].台湾事业经营研究所,2002.
⑤Plant, R. Online communities. Technology in society,2004,26(1),51-65.
⑥Dholakia, U. M., Bagozzi, R. P., Pearo, L. K. A social influence model of consumer participation in network and small-group-based virtual communities. International Journal of Research in Marketing,2004,21(3),241-263.
⑦范晓屏.非交易类虚拟社区成员参与动机：实证研究与管理启示[J].管理工程学报,2009,23(1),1-6.
⑧章郑.网络社会资本对虚拟社区知识共享及创新的影响研究[D].浙江：浙江大学,2008.
⑨戴雅楠.虚拟社区的传播特征浅析[J].东南传媒,2009(6),106-108.
⑩Lin, H.-F. Determinants of successful virtual communities:Contributions from system characteristics and social factors. Information & Management,2008,45 (8),522-527.
①袁毅,蔚海燕.问答社区低可信度信息的传播与控制研究[J].图书馆论坛,2011,31(6),171-177.
②张豪锋,边会艳.研究生网络问答社区使用现状调查与分析[J].现代教育技术,2012,22(6),84-87.
③倪波.信息传播原理[M].北京:书目文献出版社,1996,p.116.
④米哈伊洛夫著,徐新民等译.科学交流与情报学[M].北京：科学技术文献出版社,1980.
⑤李荣山,吴新文,张春强等著.现代信息传播[M].湖北：湖北人民出版社,2004.
①raman, S. Defining information:An approach for policy-makers. Telecommunications Policy, 1989,13(3),233-242, p.233.
②Machlup, F., Mansfield, U. The study of information:Interdisciplinary Messages.1983, New York:John Wiley & Sons, p.653.
③丰成君.信息交流原理[M].湖北：武汉大学出版社,1997,p.25.
④杨学山.情报科学理论体系逻辑结构探讨[J].情报科学,1984,5(2),1-8.
①钟义信.信息科学原理[M].北京：北京邮电大学出版社,1996,p.6.
②李荣山.现代信息传播[M].湖北：湖北人民出版社,2004,p.3.
③柯平,高洁.信息管理概论[M].北京：科学出版社,2007.
④倪波.信息传播原理[M].北京：书目文献出版社,1996,p.2.
①Miller, G. A. The magical number seven, plus or minus two:Some limits on our capacity for processing information. Psychological Review,1956,63(2),81-97, p.82.
②王培智.软科学知识词典[Z].北京：中国展望出版社,1988,776-777.
③王雨田.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社(2版),1988,283-284.
①孟广均等.信息资源管理导论[M].北京：科学出版社(2版).2003,p.85.
②倪波.信息传播原理[M].北京：书目文献出版社,1996,p.294.
①孟广均等.信息资源管理导论[M].北京：科学出版社(2版),2003.
②王雨田.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社(2版),1988,p.304.
①倪波.信息传播原理[M].北京：书目文献出版社,1996,p.10.
②Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of the International Conference on Information Quality.2000. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.6523&rep=rep1&type=pdf [2012-9-10].
③南宏师,张浩.网络传播学[M].北京：国防工业出版社,2008.
④李荣山,吴新文,张春强等著.现代信息传播[M].湖北：湖北人民出版社,2004.
⑤朱东红.网络社区交互对消费者购买意愿的影响：基于比较的视角[D].武汉：华中科技大学,2012.
①倪波.信息传播原理[M].北京：书目文献出版社,1996,p.128.
①王秋文,郑建明.Web2.0环境下网络信息消费行为模式研究[J].新世纪图书馆,2012(5),23-26.
①南宏师,张浩.网络传播学[M].北京：国防工业出版社,2008,p.163.
②贺修明.信息安全、信息污染、信息犯罪与信息消费——信息社会化环境下的消费者权益保护[J].消费经济,1997(1),19-23.
①Srinivasan, A. Alternative measures of system effectiveness:Associations and implications. MIS Quarterly,1985,9(3),243-253.
②DeLone, W. H., McLean, E. R. Information systems success:The quest for the dependent variable. Information Systems Research,1992,3(1),60-95.
①Seddon, P. B. A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research,2007,8(3),240-253, p.245.
②DeLone, W. H., McLean, E. R. Model of information systems success:A ten-year update. Journal of Management Information Systems,2003,19(4),9-30.
①Lin, J. C., Lu, H. Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management,2000,20(3),197-208.
①Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
②Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
③Lin, H.-F. Determinants of successful virtual communities:Contributions from system characteristics and social factors. Information & Management,2008,45,522-527.
①Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
②金献幸.城市政府门户网站服务质量与内外部用户再使用意愿研究——以杭州市政府门户网站为例[D].浙江：杭州大学,2007.
③周涛,鲁耀斌,张金隆.移动商务网站关键成功因素研究[J].管理评论,2011,23(6),62-67.
④李君君,孙建军.基于因子分析的电子商务网站质量维度的实证研究[J].科技管理研究,2009,10,264-278.
①Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
②Lu, D., Yang, D. Information exchange in virtual communities under extreme disaster conditions. Decision Support Systems,2011,50,529-538.
①Chiu, C.-M., Hsu, M.-H., Wang, E. T. G. Understanding knowledge sharing in virtual communities:An integration of social capital and social cognitive theories. Decision Support Systems,2006,42(3),1872-1888.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
①Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
①Eppler, M. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2001.
②Eppler, M. Muenzenmayer, P. Measuring information quality in the web context:A survey of state-of-the-art instruments and an application methodology. Proceedings of the Seventh International Conference on Information Quality,2002,187-196, p.188.
①Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
①Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
②Stracke, C. M. Quality standards for quality development in e-learning:Adoption, implementation and adaptation. Proceedings of world conference on educational multimedia, hypermedia and telecommunication,2007.
③谢阳群等.微观信息管理[M].合肥：安徽大学出版社,2004,p.36.
④孟广均等.信息资源管理导论[M].北京：科学出版社(2版),2003,p.7.
①曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
②Ku, E. C. S. Distributed fascinating knowledge over an online travel community. International Journal of Tourism Research,2012, DOI:10.1002/jtr.1895.
③Zmud, R. W. An empirical investigation of the dimensionality of the concept of information. Decision Sciences,1978,9(2),187-195.
④查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
⑤曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
⑥Ku, E. C. S. Distributed fascinating knowledge over an online travel community. International Journal of Tourism Research,2012, DOI:10.1002/jtr.1895.
⑦孟魁.虚拟社区环境下信任机制的研究[D].上海：复旦大学,2005.
①Zucker, L. G. Production of trust:Institutional sources of economic structure,1840-1920. Research in Organizational Behavior,1986,8(6),53-111.
②Shelat, B., Egger, F. N. What makes people trust online gambling sites. Proceedings of the Conference on Human Factors in Computing Systems. New York:Association for computing machinary,2002.
③Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
④Prybutok, V. R., Spink, A. Transformation of a health care information system:A self-assessment survey. IEEE Transactions on Engineering Management,1999,46(3),299-310.
⑤Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-193.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34, p.32
②Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-193.
③查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
④苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
⑤Elliot, S., Li, G., Choi, C. Understanding service quality in a virtual travel community environment. Journal of Business Research,2012, doi:10.1016/j.jbusres.2012.03.011.
⑥McKinney, V., Yoon, K., Zahedi, F. M. The measurement of web-customer satisfaction:An expectation and disconfirmation approach. Information Systems Research,2002,13(3),296-315.
①戴维民.网络信息优化传播导论[M].上海：复旦大学出版社,2004,p.97.
②吴风.网络传播学——一种形而上的透视[M].北京：中国广播电视出版社,2004,p.236.
③Baily, J. E., Pearson, S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science,1983,29(5),530-545.
④Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
⑤Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10]。
⑥Ahituv, N. A systematic approach toward assessing the value of an information system. Management Information Systems Quarterly,1980,4(4),61-75.
⑦查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
①Redman, T. C. What those who know quality need to understand about data. Proceedings of the American Society for Quality Annual Quality Congress,2001.
②苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
③陈传夫,唐琼,于媛等.网络上科学信息的时效性测量[J].情报学报,2009,28(4),610-617.
④Hamilton, S., Chervany, N. L. Evaluating information system effectiveness-PartⅡ:Comparing evaluator viewpoints. MIS Quarterly,1981,5(4),79-86.
⑤O'Reilly, C. A. Variations in decision makers'use of information sources:The impact of quality and accessibility of information. Academic of Management Journal,1982,25(4),756-771.
⑥Baily, J. E., Pearson, S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science,1983,29(5),530-545.
⑦Miller, H. The multiple dimension of information quality. Information Systems Management, 1996,13(2),79-82.
⑧Kovac's R., Lee, Y. W., Pipino, L. L. Total data quality management:The case of IRI.1997. http://pdf.aminer.org/000/413/591/total_data_quality_management_the_case_of_iri.pdf [2012-9-25].
⑨Van Dyke, T. P., Prybutok, V. R., Kappelman, L. A. Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences,1999, 30(3),877-891.
⑩Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
①Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
②Zeist, R. H. J., Hendriks, P. R. H. Specifying software quality with the extended ISO model. Software Quality Journal,1996,5(4),273-284.
③Jarke, M., Vassiliou, Y. Data warehouse quality:A review of the DWQ project. Proceeding of International Conference on Information Quality Cambridge,1997.
④Gilly, K., Juiz, C., Thomas, N. Adaptive admission control algorithm in a QoS-aware Web system. Information Sciences,2012,199(15),58-77.
⑤Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,1989,13 (3),318-339.
①Pipino, L. L., Lee, Y. W., Wang, R. Y. Data quality assessment. Communications of the ACM, 2002,45(4),211-218.
②靖继鹏,马费成,张向先.情报科学理论[M].北京：科学出版社,2009,49-50.
③靖继鹏,马费成,张向先.情报科学理论[M].北京：科学出版社,2009,35-36.
④戴维民.网络信息优化传播导论[M].上海：复旦大学出版社,2004,p.102.
⑤蒋坡.国际信息政策法律比较[M].法律出版社,2001,424-425.
①吴风.网络传播学——一种形而上的透视[M].北京：中国广播电视出版社,2004,p.240.
②Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
③Dedeke, A. A conceptual framework for developing quality measures for information systems. Proceeding of 5th International Conference on information Quality,2000.
④Zhu, X., Gauch, S. Incorporating quality metrics in centralized/distributed information retrieval on World Wide Web. Proceeding of 23 international ACM SIGIR conference on research and development in information retrieval,2000.
⑤Leung, H. K. N. Quality metrics for intranet applications. Information & Management,2001, 38(3),137-152.
⑥Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-193.
①McKinney, V., Yoon, K., Zahedi, F. M. The measurement of web-customer satisfaction:An expectation and disconfirmation approach. Information Systems Research,2002,13(3),296-315.
②Liu, X. W., Han, S. L. Ranking fuzzy numbers with preference weighting function expectations. Computers & Mathematics with Applications,2005,49(11-12),1731-1753.
③Besiki, S., Gasser, L., Twidale, M. B., Smith, L. C. A framework for information quality assessment. Journal of the American Society for Information Science and Technology,2007, 58(12),1720-1733.
④Kim, B., Han,I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
⑤Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
⑥Elliot, S., Li, G., Choi, C. Understanding service quality in a virtual travel community environment. Journal of Business Research,2012, doi:10.1016/j jbusres.2012.03.011.
①Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
①曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
②查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
③Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34
④Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality:An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
③曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
⑥Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
⑦Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
①查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
②Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
③Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4),165-177.
④Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
⑤文军,蒋逸民.质性研究概述[M].北京：北京大学出版社,2010,p.169.
⑥Kaplowitz, M. D., Hoehn, J. Do focus groups and personal interviews reveal the same information for natural resource valuation? Ecological Economics,2001,36,237-247.
①Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
①Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality:An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
②曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
③Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas.2004.
④Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management, 2000,17,110-127.
⑤Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
①Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
②Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4),165-177.
③Cheung C. M. K. Understanding the sustainability of virtual community:Model development and empirical test. City University of Hong Kong,2007, p.194.
④荣泰生.AMOS与研究方法[M].重庆：重庆大学出版社.2010,p.59
①查先进.信息分析[M].武汉：武汉大学出版社,2011,p.168.
②Hoyle, R. H., Kenny, D. A. Statistical strategies for small sample research. CA:Sage,1999.
③Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
④Hair, J. F., Anderson, R. E., Tatham, R. L., Black, W. C. Multivariate data analysis with readings (3rd Edition).1992, New York:Macmillan.
①Hair, J. F., Anderson, R. E., Tatham, R. L., Black, W. C. Multivariate data analysis with readings (3rd Edition).1992, New York:Macmillan.
①Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②Churchill, G. A. A paradigm for developing better measures of marketing constructs. Journal of Marketing Research,1979,16(1),64-73.
③Emory, W. C., Cooper, D. R. Business research methods (4rd Edition).1991, Boston:Irwin/ McGrawHill.
① Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
②Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②邱皓政,林碧芳.结构方程模型的原理与应用[M].北京：中国轻工业出版社,2009.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②Fassnacht, M., Koese, I. Quality of electronic services:Conceptualizing and testing a hierarchical model. Journal of Service Research,2006,9(1),19-37.
③Kiran, K., Diljit, S. Modeling web-based library service quality. Library & Information Science Research,2012,34(3),184-196.
④Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
⑤Chin, W. W., Marcolin, B. L., Newsted, P. R. A partial least squares latent variable modeling approach for measuring interaction effects:Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research,2003,14(2),189-217.
⑥Hulland, J., Ryan, M. J., Rayner, R. K. Modeling customer satisfaction:A comparative performance evaluation of covariance structure analysis versus partial least squares.2010, Handbook of partial least squares. New York:Springer.
①Wetzels, M., Odekerken-Schroder, G., Oppen, C. V. Using PLS path modeling for assessing hierarchical construct models:Guidelines and empirical illustration. MIS Quarterly,2009,33(1), 177-195.
②Gefen, D., Straub, D. A practical guide to factorial validity using PLS-graph:Tutorial and annotated example. Communications of the Association for Information Systems,2005,16, 91-109.
①Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality:An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
②Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas.2004.
③Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
①Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
②Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
③Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4),165-177.
①Lohmoeller, J.-B. Latent variables path analysis with partial least squares.1989, Heidelberg: Physica-Verl.
①Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
①Fornell, C. A., Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Joumal of Marketing Research,1981,18(1),39-50.
②Fornell, C. A., Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,1981,18(1),39-50.
①Wetzels, M, Odekerken-Schroder, G., Oppen, C. V. Using PLS path modeling for assessing hierarchical construct models:Guidelines and empirical illustration. MIS Quarterly,2009,33(1), 177-195.
①Rieh, S. Y. Judgment of information quality and cognitive authority in the web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
②Olaisen, J. Information quality factors and the cognitive authority of electronic information. In I. Wormell (Ed.), Information quality:Definitions and dimensions (pp.99-120).1990, Los Angeles: Taylor Graham.
①Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
②Liu, Z., Huang, X. Evaluating the credibility of scholarly information on the web:A cross cultural study. The International Information & Library Review,2005,37(2),99-106.
③Chaudhuri, A. A macro analysis of the relationship of product involvement and information search:The role of risk. Journal of Marketing Theory and Practice,2000,8(1),1-13.
④丁香调查派.医生眼中的"Dr.Internet"调查报告http://vote.dxy.cn/reportlist/content/id/13277 [2012-8-23].
⑤Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
⑥ Yeh, N.-C., Lin, J., Lu, H.-P. The moderating effect of social roles on user behaviour in virtual worlds. Online Information Review,2011,35(5),747-769.
①金晓玲.探讨网上问答社区的可持续发展：“雅虎知识堂”案例研究[D].合肥：中国科技大学,2009.
①沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
①Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
①刘立.信息技术条件下的消费者行为特征[J].情报学报,2002,21(2),237-241.
①沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
①Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
①章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
②Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
③周涛,鲁耀斌,张金隆.移动商务网站关键成功因素研究[J].管理评论,2011,23(6),62-67.
①孟广均等.信息资源管理导论[M].北京：科学出版社(2版),2003,p.14.
②沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
①罗家德.网络网际关系行销[M].北京：社会科学文献出版社,2001.
②Ardichvili, A. Learning and knowledge sharing in virtual communities of practice:Motivators, barriers, and enablers. Advances in Developing Human Resources,2008,10(4),541-554.
③McKnight, D. H., Chervany, N. L. Conceptualizing trust:A typology and E-Commerce customer relationships model. Proceedings of the 34th Hawaii International Conference on System Sciences, 2001.
④孟魁.虚拟社区环境下信任机制的研究[D].上海：复旦大学,2005.
⑤Hsu, M. H., Ju, T. L., Yen, C. H., Chang, C. M. Knowledge sharing behaviour in virtual communities:The relationship between trust, self-efficacy, and outcome expectation. International Journal of Human-Computer Studies,2007,65(2),153-169.
⑥Yang, H. L., Lai, C. Y. Motivations of Wikipedia content contributors. Computers in Human Behaviour,2010,26(6),1377-1383.
⑦Zha, X. J., Li, J., Yan, Y. L. Understanding preprint sharing on Sciencepaper Online from the perspectives of motivation and trust. Information Development,2012. doi: 10.1177/0266666912449455.
①Frey, K., Luthje, C. Antecedents and consequences of interaction quality in virtual end-user communities. Creativity and innovation management,2011,20(1),22-35.
②杜慧英.3G增值业务采纳行为及安全信任机制研究[D].北京：北京邮电大学,2011.
[1]Ahituv, N. A systematic approach toward assessing the value of an information system. Management Information Systems Quarterly,1980,4(4),61-75.
[2]Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
[3]Alex, D., Michael, C., Peter, A. Risk management for software projects (2nd ed.). Berkshire, England:McGraw-Hill Book Company,1994.
[4]Alexander, J. E., Tate, M. A. Web wisdom:How to evaluate and create information quality on the web.1999, Mahwah, NJ:Erlbaum.
[5]Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
[6]Ardichvili, A. Learning and knowledge sharing in virtual communities of practice: Motivators, barriers, and enablers. Advances in Developing Human Resources,2008,10(4), 541-554.
[7]Armstrong, A., Hagel, J. The real value of online communities. Harvard Business Review, 1996,74(3),134-141.
[8]Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
[9]Baily, J. E., Pearson, S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science,1983,29(5),530-545.
[10]Balasubramanian, S., Mahajan, V. The economic lever age of the virtual community. International Journal of Electronic Commerce,2001,5(3),103-138.
[11]Ballou, D., Pazer, H. L. Modeling data and process quality in multi-input, multi-output information systems. Management science,1985,31(2),150-162.
[12]Besiki, S., Gasser, L., Twidale, M. B., Smith, L. C. A framework for information quality assessment. Journal of the American Society for Information Science and Technology,2007, 58(12),1720-1733.
[13]Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
[14]Braman, S. Defining information:An approach for policy-makers. Telecommunications Policy,1989,13(3),233-242, p.233.
[15]Brown, A. L., Ellery, S., Campione, J. C. Creating zones of proximal development electronically in Thinking practices in mathematics and science learning.1998, NJ: Lawrence Erlbaun.
[16]Canadian Institute for Health Information. The CIHI Data Quality Framework. Ottawa, Ontario:CIHI.2009. http://www.cihi.ca/cihiweb/en/downloads/data_quality_framework_2009_e.pdf. [2012-8-10].
[17]Chaudhuri, A. A macro analysis of the relationship of product involvement and information search:The role of risk. Journal of Marketing Theory and Practice,2000,8(1),1-13.
[18]Cheung C. M. K. Understanding the sustainability of virtual community:Model development and empirical test. City University of Hong Kong,2007, p.194.
[19]Chin, W. W., Marcolin, B. L., Newsted, P. R. A partial least squares latent variable modeling approach for measuring interaction effects:Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research,2003, 14(2),189-217.
[20]Chiu, C.-M., Hsu, M.-H., Wang, E. T. G. Understanding knowledge sharing in virtual communities:An integration of social capital and social cognitive theories. Decision Support Systems,2006,42(3),1872-1888.
[21]Churchill, G. A. A paradigm for developing better measures of marketing constructs. Journal of Marketing Research,1979,16(1),64-73.
[22]CIRCULAR NO. A-130.1985. http://www.whitehouse.gov/omb/circulars_a130 [2012-7-10].
[23]Damman, O. C., Hendriks, M., Rademakers, J., Spreeuwenberg, P., Delnoij, D., Groenewegen, P. Consumers' interpretation and use of comparative information on the quality of health care:The effect of presentation approaches. Health Expectations,2012, 15(2),197-211.
[24]Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,1989,13 (3),318-339.
[25]Dedeke, A. A conceptual framework for developing quality measures for information systems. Proceedings of 5th International Conference on Information Quality,2000.
[26]Delone, W. H., McLean, E. R. Information systems success:The quest for the dependent variable. Information Systems Research,1992,3(1),60-95.
[27]DeLone, W. H., McLean, E. R. Model of information systems success:A ten-year update. Journal of Management Information Systems,2003,19(4),9-30.
[28]Deming, W. E. The new economics for industry, government, education. Cambridge: Massachusetts Institute of Technology,1993.
[29]Dholakia, U. M., Bagozzi, R. P., Pearo, L. K. A social influence model of consumer participation in network and small-group-based virtual communities. International Journal of Research in Marketing,2004,21(3),241-263.
[30]Elliot, S., Li, G., Choi, C. Understanding service quality in a virtual travel community environment. Journal of Business Research,2012, doi:10.1016/j.jbusres.2012.03.011.
[31]Emory, W. C., Cooper, D. R. Business research methods (4rd Edition).1991, Boston:Irwin/ McGrawHill.
[32]English, L. The years of information quality advances what next.2001. http://www. Informatio n-management.com/issues/20010201/3009-1.html [2012-7-11].
[33]Eppler, M. J. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2003.
[34]Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Germany:Springer-Verlag,2006.
[35]Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
[36]Eppler, M. Muenzenmayer, P. Measuring information quality in the web context:A survey of state-of-the-art instruments and an application methodology. Proceedings of the Seventh International Conference on Information Quality,2002,187-196.
[37]Evans, J., Lindsay, W. The management and control of quality (6 ed.).2005, Mason, OH: Thomson.
[38]Fassnacht, M., Koese, I. Quality of electronic services:Conceptualizing and testing a hierarchical model. Journal of Service Research,2006,9(1),19-37.
[39]Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
[40]Fisher, C., Lauria, E., Chengular-Smith, S., Wang, R. Y. Introduction to information quality. United Kingdom:AuthorHouse,2006.
[41]Forbes, J. D. Bridging the second digital divide:Readability of news web sites. California State University,2002.
[42]Fornell, C. A., Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,1981,18(1),39-50.
[43]Fornell, C., Bookstein, F. Two structural equation models:LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research.1982,19(4),440-452.
[44]Frey, K., Luthje, C. Antecedents and consequences of interaction quality in virtual end-user communities. Creativity and innovation management,2011,20(1),22-35.
[45]Garvin, D. A. Managing guality. New York, NY:The Free Press,1988.
[46]Gefen, D., Straub, D. A practical guide to factorial validity using PLS-graph:Tutorial and annotated example. Communications of the Association for Information Systems,2005,16, 91-109.
[47]Gemoets, L. A. Mahmood, M. A. Effect of the quality of user documentation on user satisfaction with information systems. Information and Management,1990,18(1),47-54.
[48]Gilly, K., Juiz, C., Thomas, N. Adaptive admission control algorithm in a QoS-aware Web system. Information Sciences,2012,199(15),58-77.
[49]Ha, S., Stoel, L. Consumer e-shopping acceptance:antecedents in a technology acceptance model. Journal of Business Research,2009,62(5),565-571.
[50]Hagel, J., Armstrong, A. Net gain:expanding markets through virtual cornnnunities.1997, Massachusetts:Harvard Business Sehool Press.
[51]Hair, J. F., Anderson, R. E., Tatham, R. L., Black, W. C. Multivariate data analysis with readings (3rd Edition).1992, New York:Macmillan.
[52]Hamilton, S., Chervany, N. L. Evaluating information system effectiveness-Partll: Comparing evaluator viewpoints. MIS Quarterly,1981,5(4),79-86.
[53]Hansen, M. Zero defect data:Tackling the corporate data quality problem, Cambridge:MIT Sloan School of Management,1991.
[54]Harmon, G. Progress in Communication Sciences. Journal of the American Sociaty for Information Science,2007,39(2),99-100.
[55]Hoyle, R. H., Kenny, D. A. Statistical strategies for small sample research. CA:Sage,1999.
[56]Hsu, M. H., Ju, T. L., Yen, C. H., Chang, C. M. Knowledge sharing behaviour in virtual communities:The relationship between trust, self-efficacy, and outcome expectation. International Journal of Human-Computer Studies,2007,65(2),153-169.
[57]Huang, K.-T., Lee, Y. W., Wang, R. Y. Quality information and knowledge.1999, New Jersey:Prentice Hall.
[58]Hulland, J., Ryan, M. J., Rayner, R. K. Modeling customer satisfaction:A comparative performance evaluation of covariance structure analysis versus partial least squares.2010, Handbook of partial least squares. New York:Springer.
[59]Jarke, M., Vassiliou, Y. Data warehouse quality:A review of the DWQ project. Proceeding of International Conference on Information Quality Cambridge,1997.
[60]Juran, J. Juran on quality by design. New York, NY:the free press,1992.
[61]Kahn, B. K., Stong, D. M. Product and service performance model for information quality: An update,1998, in:Chengalur-Smith, I., Pipino, L. L. Proceedings of the 1998 Conference on Information Quality,1998.
[62]Kahn, B.K., Strong, D.M, Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-192.
[63]Kaplowitz, M. D., Hoehn, J. Do focus groups and personal interviews reveal the same information for natural resource valuation? Ecological Economics,2001,36,237-247.
[64]Kelton, K. Trust in digital information. Journal of the American Society for Information Science and Technology,2008,59(3),363-374.
[65]Kerr, K. The institutionalisation of data quality in the New Zealand health sector. University of Auckland,2006.
[66]Kettinger, W. J., Lee, C. C. Perceived service quality and user satisfaction with the information services function. Decision Sciences,1994,25(5-6),737-766.
[67]Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009,60(5),1012-1026.
[68]Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
[69]Kiran, K., Diljit, S. Modeling web-based library service quality. Library & Information Science Research,2012,34(3),184-196.
[70]Klein, B. D., Goodhue, D. L., Davis, G B. Can humans detect errors in data? Impact of base rates, incentives, and goals. MIS Guarterly,1997,21 (2),169-194.
[71]Kovac's R., Lee, Y. W., Pipino, L. L. Total data quality management:The case of IRI.1997. http://pdf.aminer.org/000/413/591/total_data_quality_management_the_case_of_iri.pdf [2012-9-25].
[72]Kozinets, V. E-tribalized marketing:The strategic implications of virtual communities of consumption. European Management Journal,1999,17(3),252-264.
[73]Ku, E. C. S. Distributed fascinating knowledge over an online travel community. International Journal of Tourism Research,2012, DOI:10.1002/jtr.1895.
[74]Laudon, K. C. Data quality and due process in large interorganizational record systems. Communications of the ACM,1986,29(1),4-11.
[75]Lee, F. S. Vogel, D., Limayem, M. Virtual community informatics:A review and research agenda. Journal of Information Technology and Application,2003,5(1),47-61.
[76]Leung, H. K. N. Quality metrics for intranet applications. Information & Management, 2001,38(3),137-152.
[77]Lin, H.-F. Determinants of successful virtual communities:Contributions from system characteristics and social factors. Information & Management,2008,45 (8),522-527.
[78]Lin, J. C., Lu, H. Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management,2000,20(3),197-208.
[79]Liu, C., Arnett, K. P. Exploring the factors associated with web site success in the context of electronic commerce. Information and Management,2000,38 (1),23-33.
[80]Liu, X. W., Han, S. L. Ranking fuzzy numbers with preference weighting function expectations. Computers & Mathematics with Applications,2005,49(11-12),1731-1753.
[81]Liu, Z., Huang, X. Evaluating the credibility of scholarly information on the web:A cross cultural study. The International Information & Library Review,2005,37(2),99-106.
[82]Lohmoeller, J.-B. Latent variables path analysis with partial least squares.1989, Heidelberg: Physica-Verl.
[83]Long, J., Richards, J., Seko, C. E. The Canadian institute for health information (CIHI) data quality framework, Version 1:A meta-evaluation and future directions. Proceeding of the Seventh International Conference on Information Quality,2002.
[84]Lu, D., Yang, D. Information exchange in virtual communities under extreme disaster conditions. Decision Support Systems,2011,50,529-538.
[85]Machlup, F., Mansfield, U. The study of information:Interdisciplinary Messages.1983, New York:John Wiley & Sons, p.653.
[86]Madnick, S. E., Lee, Y. W., Wang, R. Y., Zhu, H. Overview and framework for data and information quality research. ACM J. Data Inform. Quality,2009,1(1),2-22.
[87]Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management, 2000,17,110-127.
[88]McClave, J., Benson, P. A first courses in business statistics (5th ed.).1992, New York, NY: Macmillan.
[89]McKinney, V., Yoon, K., Zahedi, F. M. The measurement of web-customer satisfaction:An expectation and disconfirmation approach. Information Systems Research,2002,13(3), 296-315.
[90]McKnight, D. H., Chervany, N. L. Conceptualizing trust:A typology and E-Commerce customer relationships model. Proceedings of the 34th Hawaii International Conference on System Sciences,2001.
[91]Miller, G. A. The magical number seven, plus or minus two:Some limits on our capacity for processing information. Psychological Review,1956,63(2),81-97, p.82.
[92]Miller, H. The multiple dimension of information quality. Information Systems Management,1996,13(2),79-82.
[93]Morey, R. C. Estimating and improving the quality of information in the MIS. Communications of the ACM,1982,25(5),337-342.
[94]Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of 5th International Conference on Information Quality,2000.
[95]Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
[96]O'Reilly, C. A. Variations in decision makers' use of information sources:The impact of quality and accessibility of information. Academic of Management Journal,1982,25(4), 756-771.
[97]Olaisen, J. Information quality factors and the cognitive authority of electronic information. In I. Wormell (Ed.), Information quality:Definitions and dimensions (pp.99-120).1990, Los Angeles:Taylor Graham.
[98]Paperwork Reduction Act of 1995.1995. http://www.cio.gov/documents/paperwork_reduction_act_1995.html [2012-7-10].
[99]Pipino, L. L., Lee, Y. W., Wang, R. Y. Data quality assessment. Communications of the ACM,2002,45(4),211-218.
[100]Plant, R. Online communities. Technology in society,2004,26(1),51-65.
[101]Porter, M. E. Towards a dynamic theory of strategy. Strategic Management Journal,1991, S2(12),95-117.
[102]Prybutok, V. R., Spink, A. Transformation of a health care information system:A self-assessment survey. IEEE Transactions on Engineering Management,1999,46(3), 299-310.
[103]Rai, A., Al-Hindi, H. The effects of development process modeling and task uncertainty on development quality performance. Information and Management,2000,37(6),335-346.
[104]Ray, O. Big companies plug big causes for big gains. Business & Society Review,1995, 52(13),22-23.
[105]Redman, T. C. What those who know quality need to understand about data. Proceedings of the American Society for Quality Annual Quality Congress,2001.
[106]Rheingold, H. Virtual community:homesteading in the electronic frontoer.1993, MA: Addison-Wesley.
[107]Rieh, S. Y. Judgment of information quality and cognitive authority in the web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
[108]Romm, C., Pliskin, N., Clarke, R. Virtual communities and society:Toward an integrative three phrase model. International Journal of Information Management,1997,17(4), 261-270.
[109]Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4), 165-177.
[110]Seddon, P. B. A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research,2007,8(3),240-253, p.245.
[111]Sellami, M., Talbi, M. Quality management in information systems for combating desertification and dry lands management. NATO Advanced Research Workshop on Desertification and Risk Analysis Using High and Medium Satellite Date, Tozeur, Tunisia, 2008.
[112]Serenko, A., Detlor, B., Julien, H., Booker, L. D. A model of student learning outcomes of information literacy instruction in a business school. Journal of the American Society for Information Science and Technology,2012,63(4),671-686.
[113]Shanks, G., Corbitt, B. Understanding data quality:Social and cultural aspects. Proceedings of the 10th Australasian Conference on Information Systems,1999.
[114]Shelat, B., Egger, F. N. What makes people trust online gambling sites. Proceedings of the Conference on Human Factors in Computing Systems. New York:Association for computing machinary,2002.
[115]Srinivasan, A. Alternative measures of system effectiveness:Associations and implications. MIS Quarterly,1985,9(3),243-253.
[116]Stracke, C. M. Quality standards for quality development in e-learning:Adoption, implementation and adaptation. Proceedings of world conference on educational multimedia, hypermedia and telecommunication,2007.
[117]Strong, D., Lee, Y., Wang, R. Y. Data Quality in Context. Communications of the ACM, 1997,40(5),103-110.
[118]Stvilia, B. Measuring information quality. University of Illinois,2006, p.19.
[119]The Department of Health and Children. Proposed Health Information Bill.2011. http:// www.dohc.ie/issues/hib/[2012-07-21].
[120]United Nations Statistics Division. http://unstats.un.org/unsd/class/family/default.asp [2012-11-9].
[121]Van Dyke, T. P., Prybutok, V. R., Kappelman, L. A. Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences,1999, 30(3),877-891.
[122]Verwijs, C., Mulder, I., Slagter, R., de Poot, H. Positioning communities:A study on the state of the art of professional and learning communities.2001.
[123]Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95
[124]Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
[125]Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4):5-34.
[126]Wei, K.-K., Teo, H.-H, Chan, H. C., Tan, B. C. Y. Conceptualizing and testing a social cognitive model of the digital divide. Information System Research,2011,22(1),170-187.
[127]Welsh Assembly Government. NHS Wales Informatics Service.1997. Caldicott:Principles into Practice [Online]. http://www.wales.nhs.uk/sites3/home.cfm?orgid=783 [2012-8-10]
[128]Wetzels, M., Odekerken-Schroder, G., Oppen, C. V. Using PLS path modeling for assessing hierarchical construct models:Guidelines and empirical illustration. MIS Quarterly,2009, 33(1),177-195.
[129]Yang, H. L., Lai, C. Y. Motivations of Wikipedia content contributors. Computers in Human Behaviour,2010,26(6),1377-1383.
[130]Yang, X., Zheng, H., Zheng, B. Analysis and design of quality management information system based on UML and BPR.3rd International Institute of Statistics and Management Engineering Symposium,2010.
[131]Yeh, N.-C., Lin, J., Lu, H.-P. The moderating effect of social roles on user behaviour in virtual worlds. Online Information Review,2011,35(5),747-769.
[132]Zeist, R. H. J., Hendriks, P. R. H. Specifying software quality with the extended ISO model. Software Quality Journal,1996,5(4),273-284.
[133]Zha, X. J., Li, J., Yan, Y. L. Understanding preprint sharing on Sciencepaper Online from the perspectives of motivation and trust. Information Development,2012. doi:10.1177 /0266666912449455.
[134]Zhu, X., Gauch, S. Incorporating quality metrics in centralized/distributed information retrieval on World Wide Web. Proceeding of 23 international ACM SIGIR conference on research and development in information retrieval,2000.
[135]Zmud, R. W. An empirical investigation of the dimensionality of the concept of information. Decision Sciences,1978,9(2),187-195.
[136]Zucker, L. G. Production of trust:Institutional sources of economic structure,1840-1920. Research in Organizational Behavior,1986,8(6),53-111.
[137]曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
[138]查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
[139]查先进.信息分析[M].武汉：武汉大学出版社,2011.
[140]查先进.信息资源配置与共享[M].武汉：武汉大学出版社,2008.
[141]丁香调查派.医生眼中的"Dr. Internet"调查报告http://vote.dxy.cn/reportlist/content/id/ 13277 [2012-8-23].
[142]陈传夫,唐琼,于媛等.网络上科学信息的时效性测量[J].情报学报,2009,28(4),610-617.
[143]陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
[144]戴维民.网络信息优化传播导论[M].上海：复旦大学出版社,2004,p.102.
[145]戴雅楠.虚拟社区的传播特征浅析[J].东南传媒,2009(6),106-108.
[146]邓朝华.移动服务用户采纳模型及其实证研究[D].武汉：华中科技大学,2008.
[147]杜慧英.3G增值业务采纳行为及安全信任机制研究[D].北京：北京邮电大学,2011.
[148]范晓屏.非交易类虚拟社区成员参与动机：实证研究与管理启示[J].管理工程学报,2009,23(1),1-6.
[149]丰成君.信息交流原理[M].湖北：武汉大学出版社,1997,p.25.
[150]冯慧玲,周晓英.信息资源管理研究与教育：一个大有作为的领域[J].图书情报工作,2004(9),24-27.
[151]冯敏.基于数据包络分析(DEA)的组织信息质量评价[D].上海：华东理工大学,2005.
[152]高智勇,高建民,王侃昌,陈富明,刘军强.基于信息结构要素的信息质量定义与内涵分析[J].计算机集成制造系统,2006,12(10),1724-1728.
[153]葛某智,苏颖.信息质量研究的现状与未来研究方向[J].中国科技资源导刊,2009,41(1),5-16.
[154]郝金星.基于ISO 9000:2000质量管理体系的企业信息质量管理研究[D].武汉：武汉大学,2004.
[155]贺修明.信息安全、信息污染、信息犯罪与信息消费——信息社会化环境下的消费者权益保护[J].消费经济,1997(1),19-23.
[156]胡磊.互联网学术信息质量启发式评价中存在的问题分析[J].情报科学,2011,29(2):178-181.
[157]蒋坡.国际信息政策法律比较[M].法律出版社,2001,424-425.
[158]金献幸.城市政府门户网站服务质量与内外部用户再使用意愿研究——以杭州市政府门户网站为例[D].浙江：杭州大学,2007.
[159]金晓玲.探讨网上问答社区的可持续发展：“雅虎知识堂”案例研究[D].合肥：中国科 技大学,2009.
[160]靖继鹏,马费成,张向先.情报科学理论[M].北京：科学出版社,2009.
[161]柯平,高洁.信息管理概论[M].北京：科学出版社,2007.
[162]克劳斯比.零缺点的质量管理[M].北京：三联书店,1994.
[163]李君君,孙建军.基于因子分析的电子商务网站质量维度的实证研究[J].科技管理研究,2009,10,264-278.
[164]李荣山,吴新文,张春强等著.现代信息传播[M].湖北：湖北人民出版社,2004.
[165]李荣山.现代信息传播[M].湖北：湖北人民出版社,2004,p.3.
[166]连征忠.虚拟社群成员信任关系之探讨[D].台湾事业经营研究所,2002.
[167]林寅.提高信息质量促进企业科学决策——运用织布机监测数据改进现场管理[J].数量经济技术经济研究,1984(7),53-59.
[168]刘冰,卢爽.基于用户体验的信息质量综合评价体系研究[J].图书情报工作,2011,55(22),56-59.
[169]刘立.信息技术条件下的消费者行为特征[J].情报学报,2002,21(2),237-241.
[170]罗家德.网络网际关系行销[M].北京：社会科学文献出版社,2001.
[171]马小闳,龚国伟.信息质量评估研究[J].情报杂志,2006(5),19-21.
[172]孟广均等.信息资源管理导论[M].北京：科学出版社(2版).2003.
[173]孟魁.虚拟社区环境下信任机制的研究[D].上海：复旦大学,2005.
[174]米哈伊洛夫著,徐新民等译.科学交流与情报学[M].北京：科学技术文献出版社,1980.
[175]南宏师,张浩.网络传播学[M].北京：国防工业出版社,2008,p.163.
[176]倪波.信息传播原理[M].北京：书目文献出版社,1996.
[177]荣泰生AMOS与研究方法[M].重庆：重庆大学出版社.2010,p.59
[178]沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
[179]宋立荣.基于网络共享的农业科技信息质量管理研究[D].北京：中国农业科学院,2008.
[180]宋立荣,彭洁.美国政府“信息质量法”的介绍及其启示[J].情报杂志,2012,31(2),12-18.
[181]宋立荣,李思经.从数据质量到信息质量的发展[J].情报科学,2009,28(2),182-56.
[182]宋立荣,诸军亮.网络信息环境下信息质量管理的初步认识[J].现代情报,2009,29(10),53-56.
[183]苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
[184]孙丽萍.虚拟社区中的知识分享行为分析.合作经济与科技,2007(11),54-55.
[185]王飞绒,龚建立,柴晋颖.虚拟社区知识共享运作机制研究[J].虚拟社区知识共享运 作机制研究浙江学刊,2007(5),201-205.
[186]王培智.软科学知识词典[Z].北京：中国展望出版社,1988,776-777.
[187]王秋文,郑建明.Web2.0环境下网络信息消费行为模式研究[J].新世纪图书馆,2012(5),23-26.
[188]王颖.企业统计数据质量影响因素研究[D].浙江：浙江大学,2006.
[189]王雨田.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社(2版),1988.
[190]文军,蒋逸民.质性研究概述[M].北京：北京大学出版社,2010.
[191]吴风.网络传播学——一种形而上的透视[M].北京：中国广播电视出版社,2004,p.236.
[192]谢阳群等.微观信息管理[M].合肥：安徽大学出版社,2004,p.36.
[193]杨学山.情报科学理论体系逻辑结构探讨[J].情报科学,1984,5(2),1-8.
[194]杨彦青.知识型虚拟社区客户价值影响因素及客户忠诚度研究[D].浙江：浙江大学,2009.
[195]余玮.改进企业网上财务信息质量[J].中国会计电算化,2003(6),7-8.
[196]袁毅,蔚海燕.问答社区低可信度信息的传播与控制研究[J].图书馆论坛,2011,31(6),171-177.
[197]张豪锋,边会艳.研究生网络问答社区使用现状调查与分析[J].现代教育技术,2012,22(6),84-87.
[198]章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
[199]章郑.网络社会资本对虚拟社区知识共享及创新的影响研究[D].浙江：浙江大学,2008.
[200]钟义信.信息科学原理[M].北京:北京邮电大学出版社,1996,p.6.
[201]周涛,鲁耀斌,张金隆.移动商务网站关键成功因素研究[J].管理评论,2011,23(6),62-67.
[202]朱东红.网络社区交互对消费者购买意愿的影响：基于比较的视角[D].武汉：华中科技大学,2012.
[203]朱兰.质量管理回顾与展望[J].冶金标准化与质量.1995(4),28-35.
②朱东红.网络社区交互对消费者购买意愿的影响：基于比较的视角[D].武汉：华中科技大学,2012.
③倪波.信息传播原理[M].北京：书目文献出版社,1996,p.8.
① Eppler, M., Muenzenmayer, P. Measuring information quality in the web context:A survey of state-of-the-art instruments and an application methodology. Proceedings of the Seventh International Conference on Information Quality,2002,187-196.
②Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of the International Conference on Information Quality,2000. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.6523&rep=rep1&type=pdf [2002-9-12].
③倪波.信息传播原理[M].北京：书目文献出版社,1996,p.338.
④Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95.
⑤Damman, O. C., Hendriks, M., Rademakers, J., Spreeuwenberg, P., Delnoij, D., Groenewegen, P. Consumers' interpretation and use of comparative information on the quality of health care:The effect of presentation approaches. Health Expectations,2012,15(2),197-211.
⑥Yang, X., Zheng, H., Zheng, B. Analysis and design of quality management information system based on UML and BPR.3rd International Institute of Statistics and Management Engineering Symposium,2010.
①章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
②朱兰.质量管理回顾与展望[J].冶金标准化与质量,1995(4),28-35.
③宋立荣,诸军亮.网络信息环境下信息质量管理的初步认识[J].现代情报,2009,29(10),53-56.
①冯慧玲,周晓英.信息资源管理研究与教育：一个大有作为的领域[J].图书情报工作,2004(9),24-27.
②查先进.信息资源配置与共享[M].武汉:武汉大学出版社,2008.
③宋立荣,李思经.从数据质量到信息质量的发展[J].情报科学,2009,28(2),182-156.
①CIRCULAR NO. A-130.1985. http://www.whitehouse.gov/omb/circulars_a130 [2012-7-10].
②Paperwork Reduction Act of 1995.1995. http://www.cio.gov/documents/paperwork_reduction_act_1995.html [2012-7-10].
③宋立荣,彭洁.美国政府“信息质量法”的介绍及其启示[J].情报杂志,2012,31(2),12-18.
④Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
⑤Welsh Assembly Government. NHS Wales Informatics Service.1997. Caldicott:Principles into Practice [Online]. http://www.wales.nhs.uk/sites3/home.cfm?orgid=783 [2012-8-10].
⑥Canadian Institute for Health Information. The CIHI Data Quality Framework. Ottawa, Ontario: CIHI.2009. http://www.cihi.ca/cihiweb/en/downloads/data quality framework 2009 e.pdf. [2012-8-10].
⑦Kerr, K. The institutionalisation of data quality in the New Zealand health sector. University of Auckland,2006.
①Wei, K.-K., Teo, H.-H, Chan, H. C., Tan, B. C. Y. Conceptualizing and testing a social cognitive model of the digital divide. Information System Research,2011,22(1),170-187.
②Forbes, J. D. Bridging the second digital divide:Readability of news web sites. California State University,2002.
English, L. The years of information quality advances what next.2001. http://www.information-management.com/issues/20010201/3009-1.html [2012-7-11].
②Hansen, M. Zero defect data:Tackling the corporate data quality problem, Cambridge:MIT Sloan School of Management,1991.
③Juran, J. Juran on quality by design. New York, NY:the free press,1992.
④Deming, W. E. The new economics for industry, government, education. Cambridge: Massachusetts Institute of Technology,1993.
①Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
②Fisher, C., Lauria, E., Chengular-Smith, S., Wang, R. Y. Introduction to information quality. United Kingdom:AuthorHouse,2006.
③Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
①Madnick, S., Lee, Y., Wang, R., Zhu, H. Overview and framework for data and information quality research. ACM J. Data Inform,2009,1(1),2-22.
②Klein, B. D., Goodhue, D. L., Davis, G. B. Can humans detect errors in data? Impact of base rates, incentives, and goals. MIS Guarterly,1997,21(2),169-194.
③Juran, J. Juran on quality by design. New York, NY:the free press,1992.
④Wang, R. Y, Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
⑤Eppler, M. Managing information quality:Increasing the value of information i knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
⑥Pipino, L. L., Lee, Y. W., Wang, R. Y. Data quality assessment. Communications of the ACM, 2002,45(4),211-218.
⑦Ballou, D., Pazer, H. L. Modeling data and process quality in multi-input, multi-output information systems. Management science,1985,31(2),150-162.
⑧Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
②Damman, O. C., Hendriks, M., Rademakers, J., Spreeuwenberg, P., Delnoij, D., Groenewegen, P. Consumers' interpretation and use of comparative information on the quality of health care:The effect of presentation approaches. Health Expectations,2012,15(2),197-211.
③Yang, X., Zheng, H., Zheng, B. Analysis and design of quality management information system based on UML and BPR.3rd International Institute of Statistics and Management Engineering Symposium,2010.
④Sellami, M., Talbi, M. Quality management in information systems for combating desertification and dry lands management. NATO Advanced Research Workshop on Desertification and Risk Analysis Using High and Medium Satellite Date, Tozeur, Tunisia,2008.
⑤Li, H., Lin, B. S. Accessing information sharing and information quality in supply chain management. Decision Support System,2006,42(11),1641-1656.
⑥Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
⑦Zeist, R. H. J., Hendriks, P. R. H. Specifying software quality with the extended ISO model. Software Quality Journal,1996,5(4),273-284.
①Shanks, G., Corbitt, B. Understanding data quality:Social and cultural aspects. Proceedings of the 10th Australasian Conference on Information Systems,1999.
②Dedeke, A. A conceptual framework for developing quality measures for information systems. Proceedings of 5th International Conference on Information Quality,2000.
①Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of 5th International Conference on Information Quality,2000.
②Klein, B. D. When do users detect information quality problems on the World Wide Web? Proceedings of AMCIS,2002.
①林寅.提高信息质量促进企业科学决策——运用织布机监测数据改进现场管理[J].数量经济技术经济研究,1984(7),53-59.
②高智勇,高建民,王侃昌,陈富明,刘军强.基于信息结构要素的信息质量定义与内涵分析[J].计算机集成制造系统,2006,12(10),1724-1728.
③曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002,84(4),6-8,p.7.
①查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
②冯敏.基于数据包络分析(DEA)的组织信息质量评价[D].上海：华东理工大学,2005.
③马小闳,龚国伟.信息质量评估研究[J].情报杂志,2006(5),19-21.
④郝金星.基于ISO 9000:2000质量管理体系的企业信息质量管理研究[D].武汉：武汉大学,2004.
⑤王颖.企业统计数据质量影响因素研究[D].浙江：浙江大学,2006.
⑥胡磊.互联网学术信息质量启发式评价中存在的问题分析[J].情报科学,2011,29(2),178-181.
⑦刘冰,卢爽.基于用户体验的信息质量综合评价体系研究[J].图书情报工作,2011,55(22),56-59.
⑧余玮.改进企业网上财务信息质量[J].中国会计电算化,2003(6),7-8.
①Alex, D., Michael, C., Peter, A. Risk management for software projects (2nd ed.). Berkshire, England:McGraw-Hill Book Company,1994.
②Garvin, D. A. Managing guality. New York, NY:The Free Press,1988.
⑧Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
①Strong, D. M., Lee, Y., Wang, R. Y. Data Quality in Context. Communications of the ACM,1997, 40(5),103-110.
②Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
①Eppler, M J. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2003. http://mitiq.mit.edu/ICIQ/Documents/IQ%20Conference%202001/Papers/AGenericFramework4I QinKnowledgeIntenProc.pdf [2012-8-10].
②Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
③宋立荣.基于网络共享的农业科技信息质量管理研究[D].北京：中国农业科学院,2008.
④Madnick, S. E., Lee, Y. W., Wang, R. Y., Zhu, H. Overview and framework for data and information quality research. ACM J. Data Inform. Quality,2009,1(1),2-22.
①苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
②Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34, pp.7.
③Rai, A., Al-Hindi, H. The effects of development process modeling and task uncertainty on development quality performance. Information and Management,2000,37(6),335-346.
④Gemoets, L. A., Mahmood, M. A. Effect of the quality of user documentation on user satisfaction with information systems. Information and Management,1990,18(1),47-54.
⑤Kettinger, W. J., Lee, C. C. Perceived service quality and user satisfaction with the information services function. Decision Sciences,1994,25(5-6),737-766.
⑥Liu, C., Arnett, K. P. Exploring the factors associated with web site success in the context of electronic commerce. Information and Management,2000,38 (1),23-33.
①克劳斯比.零缺点的质量管理[M].北京：三联书店,1994.
②章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
③Juran, J. Juran on quality by design.1992, New York, NY:The Free Press.
④McClave, J., Benson, P. A first courses in business statistics (5th ed.).1992, New York, NY: Macmillan.
⑤Harmon, G. Progress in Communication Sciences. Journal of the American Sociaty for Information Science,2007,39(2),99-100.
⑥Evans, J., Lindsay, W. The management and control of quality (6 ed.).2005, Mason, OH: Thomson.
⑦Kahn, B. K., Stong, D. M. Product and service performance model for information quality:An update,1998, in:Chengalur-Smith, I., Pipino, L. L. Proceedings of the 1998 Conference on Information Quality,1998.
⑧Eppler, M. J. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2003.
⑨Rieh, S. Y. Judgment of information quality and cognitive authority in the web. Journal of the American Sociaty for Information Science and Technology,2002,53(2),145-161.
⑩The Department of Health and Children. Proposed Health Information Bill.2011. http://www.dohc.ie/issues/hib/[2012-07-21].
①Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes.2003, Berlin, Germany:Springer-Verlag.
②Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Sociaty for Information Science,2009,60(5),1012-1026.
③Stvilia, B. Measuring information quality. University of Illinois,2006, p.19.
④Porter, M. E. Towards a dynamic theory of strategy. Strategic Management Journal,1991, S2(12), 95-117.
⑤Booch, G., Rurnbaugh, J., Jacobson, I. The unified modeling language user guide.1999, Redwood City, CA:Addison Wesley Longman Publishing.
①United Nations Statistics Division. http://unstats.un.org/unsd/class/family/default.asp [2012-11-9].
②Morey, R. C. Estimating and improving the quality of information in the MIS. Communications of the ACM,1982,25(5),337-342.
③Laudon, K. C. Data quality and due process in large interorganizational record systems. Communications of the ACM,1986,29(1),4-11.
④Ballou, D. P., Pazer, H. L. Modeling data and process quality in multi-input, multi-output information systems. Management Science,1985,31(2),150-162.
⑤Delone, W. H., McLean, E. R. Information systems success:The quest for the dependent variable. Information Systems Research,1992,3(1),60-95.
⑥Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
②Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-192.
③Alexander, J. E., Tate, M. A. Web wisdom:How to evaluate and create information quality on the web.1999, Mahwah, NJ:Erlbaum.
④Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
①Huang, K.-T., Lee, Y. W., Wang, R. Y. Quality information and knowledge.1999, New Jersey: Prentice Hall.
②Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
③Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
④Klein, B. D. When do users detect information quality problems on the World Wide Web? Proceeding of eighth Americas Conference on Information Systems,2002.
①Canadian Institute for Health Information. The CIHI Data Quality Framework. Ottawa, Ontario: CIHI.2009. http://www.cihi.ca/cihiweb/en/downloads/data_quality_framework_2009_e.pdf. [2012-8-10]
②Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
②Rheingold, H. Virtual community:homesteading in the electronic frontoer.1993, MA: Addison-Wesley.
③Brown, A. L., Ellery, S., Campione, J. C. Creating zones of proximal development electronically in Thinking practices in mathematics and science learning.1998, NJ:Lawrence Erlbaun.
④Balasubramanian, S., Mahajan, V. The economic lever age of the virtual community. Intemational Journal of Electronic Commerce,2001,5(3),103-138.
①范晓屏.非交易类虚拟社区成员参与动机：实证研究与管理启示[J].管理工程学报,2009,23(1),1-6.
②杨彦青.知识型虚拟社区客户价值影响因素及客户忠诚度研究[D].浙江：浙江大学,2009.
③Ray, O. Big companies plug big causes for big gains. Business & Society Review,1995,52(13), 22-23.
④Hagel, J., Armstrong, A. Net gain:Expanding markets through virtual cornnnunities.1997, Massachusetts:Harvard Business Sehool Press.
⑤Romm, C., Pliskin, N., Clarke, R. Virtual communities and society:Toward an integrative three phrase model. International Journal of Information Management,1997,17(4),261-270.
⑥Lee, F. S. Vogel, D., Limayem, M. Virtual community informatics:A review and research agenda. Journal of Information Technology and Application,2003,5(1),47-61.
⑦王飞绒,龚建立,柴晋颖.虚拟社区知识共享运作机制研究[J].虚拟社区知识共享运作机制研究浙江学刊,2007(5),201-205.
⑧孙丽萍.虚拟社区中的知识分享行为分析.合作经济与科技,2007(11),54-55.
①Chiu, C.-M., Hsu, M.-H., Wang, E. T. G. Understanding knowledge sharing in virtual communities:An integration of social capital and social cognitive theories. Decision Support Systems,2006,42(3),1872-1888.
②2012年1月中国互联网统计报告http://www.cnnic.net.cn/[2012-11-9].
①Armstrong, A., Hagel, J. The real value of online communities. Harvard Business Review,1996, 74(3),134-141.
②Kozinets, V. E-tribalized marketing:The strategic implications of virtual communities of consumption. European Management Journal,1999,17(3),252-264.
③Verwijs, C., Mulder, I., Slagter, R., de Poot, H. Positioning communities:A study on the state of the art of professional and learning communities.2001. https://doc.telin.nl/dsweb/Get/Document-13740/position_communi ties.pdf [2012-9-12].
④连征忠.虚拟社群成员信任关系之探讨[D].台湾事业经营研究所,2002.
⑤Plant, R. Online communities. Technology in society,2004,26(1),51-65.
⑥Dholakia, U. M., Bagozzi, R. P., Pearo, L. K. A social influence model of consumer participation in network and small-group-based virtual communities. International Journal of Research in Marketing,2004,21(3),241-263.
⑦范晓屏.非交易类虚拟社区成员参与动机：实证研究与管理启示[J].管理工程学报,2009,23(1),1-6.
⑧章郑.网络社会资本对虚拟社区知识共享及创新的影响研究[D].浙江：浙江大学,2008.
⑨戴雅楠.虚拟社区的传播特征浅析[J].东南传媒,2009(6),106-108.
⑩Lin, H.-F. Determinants of successful virtual communities:Contributions from system characteristics and social factors. Information & Management,2008,45 (8),522-527.
①袁毅,蔚海燕.问答社区低可信度信息的传播与控制研究[J].图书馆论坛,2011,31(6),171-177.
②张豪锋,边会艳.研究生网络问答社区使用现状调查与分析[J].现代教育技术,2012,22(6),84-87.
③倪波.信息传播原理[M].北京:书目文献出版社,1996,p.116.
④米哈伊洛夫著,徐新民等译.科学交流与情报学[M].北京：科学技术文献出版社,1980.
⑤李荣山,吴新文,张春强等著.现代信息传播[M].湖北：湖北人民出版社,2004.
①raman, S. Defining information:An approach for policy-makers. Telecommunications Policy, 1989,13(3),233-242, p.233.
②Machlup, F., Mansfield, U. The study of information:Interdisciplinary Messages.1983, New York:John Wiley & Sons, p.653.
③丰成君.信息交流原理[M].湖北：武汉大学出版社,1997,p.25.
④杨学山.情报科学理论体系逻辑结构探讨[J].情报科学,1984,5(2),1-8.
①钟义信.信息科学原理[M].北京：北京邮电大学出版社,1996,p.6.
②李荣山.现代信息传播[M].湖北：湖北人民出版社,2004,p.3.
③柯平,高洁.信息管理概论[M].北京：科学出版社,2007.
④倪波.信息传播原理[M].北京：书目文献出版社,1996,p.2.
①Miller, G. A. The magical number seven, plus or minus two:Some limits on our capacity for processing information. Psychological Review,1956,63(2),81-97, p.82.
②王培智.软科学知识词典[Z].北京：中国展望出版社,1988,776-777.
③王雨田.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社(2版),1988,283-284.
①孟广均等.信息资源管理导论[M].北京：科学出版社(2版).2003,p.85.
②倪波.信息传播原理[M].北京：书目文献出版社,1996,p.294.
①孟广均等.信息资源管理导论[M].北京：科学出版社(2版),2003.
②王雨田.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社(2版),1988,p.304.
①倪波.信息传播原理[M].北京：书目文献出版社,1996,p.10.
②Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of the International Conference on Information Quality.2000. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.6523&rep=rep1&type=pdf [2012-9-10].
③南宏师,张浩.网络传播学[M].北京：国防工业出版社,2008.
④李荣山,吴新文,张春强等著.现代信息传播[M].湖北：湖北人民出版社,2004.
⑤朱东红.网络社区交互对消费者购买意愿的影响：基于比较的视角[D].武汉：华中科技大学,2012.
①倪波.信息传播原理[M].北京：书目文献出版社,1996,p.128.
①王秋文,郑建明.Web2.0环境下网络信息消费行为模式研究[J].新世纪图书馆,2012(5),23-26.
①南宏师,张浩.网络传播学[M].北京：国防工业出版社,2008,p.163.
②贺修明.信息安全、信息污染、信息犯罪与信息消费——信息社会化环境下的消费者权益保护[J].消费经济,1997(1),19-23.
①Srinivasan, A. Alternative measures of system effectiveness:Associations and implications. MIS Quarterly,1985,9(3),243-253.
②DeLone, W. H., McLean, E. R. Information systems success:The quest for the dependent variable. Information Systems Research,1992,3(1),60-95.
①Seddon, P. B. A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research,2007,8(3),240-253, p.245.
②DeLone, W. H., McLean, E. R. Model of information systems success:A ten-year update. Journal of Management Information Systems,2003,19(4),9-30.
①Lin, J. C., Lu, H. Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management,2000,20(3),197-208.
①Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
②Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
③Lin, H.-F. Determinants of successful virtual communities:Contributions from system characteristics and social factors. Information & Management,2008,45,522-527.
①Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
②金献幸.城市政府门户网站服务质量与内外部用户再使用意愿研究——以杭州市政府门户网站为例[D].浙江：杭州大学,2007.
③周涛,鲁耀斌,张金隆.移动商务网站关键成功因素研究[J].管理评论,2011,23(6),62-67.
④李君君,孙建军.基于因子分析的电子商务网站质量维度的实证研究[J].科技管理研究,2009,10,264-278.
①Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
②Lu, D., Yang, D. Information exchange in virtual communities under extreme disaster conditions. Decision Support Systems,2011,50,529-538.
①Chiu, C.-M., Hsu, M.-H., Wang, E. T. G. Understanding knowledge sharing in virtual communities:An integration of social capital and social cognitive theories. Decision Support Systems,2006,42(3),1872-1888.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
①Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
①Eppler, M. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2001.
②Eppler, M. Muenzenmayer, P. Measuring information quality in the web context:A survey of state-of-the-art instruments and an application methodology. Proceedings of the Seventh International Conference on Information Quality,2002,187-196, p.188.
①Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Berlin, Germany:Springer-Verlag,2003.
①Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
②Stracke, C. M. Quality standards for quality development in e-learning:Adoption, implementation and adaptation. Proceedings of world conference on educational multimedia, hypermedia and telecommunication,2007.
③谢阳群等.微观信息管理[M].合肥：安徽大学出版社,2004,p.36.
④孟广均等.信息资源管理导论[M].北京：科学出版社(2版),2003,p.7.
①曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
②Ku, E. C. S. Distributed fascinating knowledge over an online travel community. International Journal of Tourism Research,2012, DOI:10.1002/jtr.1895.
③Zmud, R. W. An empirical investigation of the dimensionality of the concept of information. Decision Sciences,1978,9(2),187-195.
④查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
⑤曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
⑥Ku, E. C. S. Distributed fascinating knowledge over an online travel community. International Journal of Tourism Research,2012, DOI:10.1002/jtr.1895.
⑦孟魁.虚拟社区环境下信任机制的研究[D].上海：复旦大学,2005.
①Zucker, L. G. Production of trust:Institutional sources of economic structure,1840-1920. Research in Organizational Behavior,1986,8(6),53-111.
②Shelat, B., Egger, F. N. What makes people trust online gambling sites. Proceedings of the Conference on Human Factors in Computing Systems. New York:Association for computing machinary,2002.
③Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
④Prybutok, V. R., Spink, A. Transformation of a health care information system:A self-assessment survey. IEEE Transactions on Engineering Management,1999,46(3),299-310.
⑤Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-193.
①Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34, p.32
②Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-193.
③查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
④苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
⑤Elliot, S., Li, G., Choi, C. Understanding service quality in a virtual travel community environment. Journal of Business Research,2012, doi:10.1016/j.jbusres.2012.03.011.
⑥McKinney, V., Yoon, K., Zahedi, F. M. The measurement of web-customer satisfaction:An expectation and disconfirmation approach. Information Systems Research,2002,13(3),296-315.
①戴维民.网络信息优化传播导论[M].上海：复旦大学出版社,2004,p.97.
②吴风.网络传播学——一种形而上的透视[M].北京：中国广播电视出版社,2004,p.236.
③Baily, J. E., Pearson, S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science,1983,29(5),530-545.
④Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
⑤Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10]。
⑥Ahituv, N. A systematic approach toward assessing the value of an information system. Management Information Systems Quarterly,1980,4(4),61-75.
⑦查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
①Redman, T. C. What those who know quality need to understand about data. Proceedings of the American Society for Quality Annual Quality Congress,2001.
②苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
③陈传夫,唐琼,于媛等.网络上科学信息的时效性测量[J].情报学报,2009,28(4),610-617.
④Hamilton, S., Chervany, N. L. Evaluating information system effectiveness-PartⅡ:Comparing evaluator viewpoints. MIS Quarterly,1981,5(4),79-86.
⑤O'Reilly, C. A. Variations in decision makers'use of information sources:The impact of quality and accessibility of information. Academic of Management Journal,1982,25(4),756-771.
⑥Baily, J. E., Pearson, S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science,1983,29(5),530-545.
⑦Miller, H. The multiple dimension of information quality. Information Systems Management, 1996,13(2),79-82.
⑧Kovac's R., Lee, Y. W., Pipino, L. L. Total data quality management:The case of IRI.1997. http://pdf.aminer.org/000/413/591/total_data_quality_management_the_case_of_iri.pdf [2012-9-25].
⑨Van Dyke, T. P., Prybutok, V. R., Kappelman, L. A. Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences,1999, 30(3),877-891.
⑩Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
①Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
②Zeist, R. H. J., Hendriks, P. R. H. Specifying software quality with the extended ISO model. Software Quality Journal,1996,5(4),273-284.
③Jarke, M., Vassiliou, Y. Data warehouse quality:A review of the DWQ project. Proceeding of International Conference on Information Quality Cambridge,1997.
④Gilly, K., Juiz, C., Thomas, N. Adaptive admission control algorithm in a QoS-aware Web system. Information Sciences,2012,199(15),58-77.
⑤Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,1989,13 (3),318-339.
①Pipino, L. L., Lee, Y. W., Wang, R. Y. Data quality assessment. Communications of the ACM, 2002,45(4),211-218.
②靖继鹏,马费成,张向先.情报科学理论[M].北京：科学出版社,2009,49-50.
③靖继鹏,马费成,张向先.情报科学理论[M].北京：科学出版社,2009,35-36.
④戴维民.网络信息优化传播导论[M].上海：复旦大学出版社,2004,p.102.
⑤蒋坡.国际信息政策法律比较[M].法律出版社,2001,424-425.
①吴风.网络传播学——一种形而上的透视[M].北京：中国广播电视出版社,2004,p.240.
②Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
③Dedeke, A. A conceptual framework for developing quality measures for information systems. Proceeding of 5th International Conference on information Quality,2000.
④Zhu, X., Gauch, S. Incorporating quality metrics in centralized/distributed information retrieval on World Wide Web. Proceeding of 23 international ACM SIGIR conference on research and development in information retrieval,2000.
⑤Leung, H. K. N. Quality metrics for intranet applications. Information & Management,2001, 38(3),137-152.
⑥Kahn, B. K., Strong, D. M., Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-193.
①McKinney, V., Yoon, K., Zahedi, F. M. The measurement of web-customer satisfaction:An expectation and disconfirmation approach. Information Systems Research,2002,13(3),296-315.
②Liu, X. W., Han, S. L. Ranking fuzzy numbers with preference weighting function expectations. Computers & Mathematics with Applications,2005,49(11-12),1731-1753.
③Besiki, S., Gasser, L., Twidale, M. B., Smith, L. C. A framework for information quality assessment. Journal of the American Society for Information Science and Technology,2007, 58(12),1720-1733.
④Kim, B., Han,I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009, 60(5),1012-1026.
⑤Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
⑥Elliot, S., Li, G., Choi, C. Understanding service quality in a virtual travel community environment. Journal of Business Research,2012, doi:10.1016/j jbusres.2012.03.011.
①Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
①曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
②查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
③Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34
④Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality:An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
③曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
⑥Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
⑦Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
①查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
②Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
③Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4),165-177.
④Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
⑤文军,蒋逸民.质性研究概述[M].北京：北京大学出版社,2010,p.169.
⑥Kaplowitz, M. D., Hoehn, J. Do focus groups and personal interviews reveal the same information for natural resource valuation? Ecological Economics,2001,36,237-247.
①Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
①Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality:An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
②曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
③Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas.2004.
④Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management, 2000,17,110-127.
⑤Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
①Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
②Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4),165-177.
③Cheung C. M. K. Understanding the sustainability of virtual community:Model development and empirical test. City University of Hong Kong,2007, p.194.
④荣泰生.AMOS与研究方法[M].重庆：重庆大学出版社.2010,p.59
①查先进.信息分析[M].武汉：武汉大学出版社,2011,p.168.
②Hoyle, R. H., Kenny, D. A. Statistical strategies for small sample research. CA:Sage,1999.
③Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
④Hair, J. F., Anderson, R. E., Tatham, R. L., Black, W. C. Multivariate data analysis with readings (3rd Edition).1992, New York:Macmillan.
①Hair, J. F., Anderson, R. E., Tatham, R. L., Black, W. C. Multivariate data analysis with readings (3rd Edition).1992, New York:Macmillan.
①Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②Churchill, G. A. A paradigm for developing better measures of marketing constructs. Journal of Marketing Research,1979,16(1),64-73.
③Emory, W. C., Cooper, D. R. Business research methods (4rd Edition).1991, Boston:Irwin/ McGrawHill.
① Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4),5-34.
②Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②邱皓政,林碧芳.结构方程模型的原理与应用[M].北京：中国轻工业出版社,2009.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
①陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
②Fassnacht, M., Koese, I. Quality of electronic services:Conceptualizing and testing a hierarchical model. Journal of Service Research,2006,9(1),19-37.
③Kiran, K., Diljit, S. Modeling web-based library service quality. Library & Information Science Research,2012,34(3),184-196.
④Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
⑤Chin, W. W., Marcolin, B. L., Newsted, P. R. A partial least squares latent variable modeling approach for measuring interaction effects:Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research,2003,14(2),189-217.
⑥Hulland, J., Ryan, M. J., Rayner, R. K. Modeling customer satisfaction:A comparative performance evaluation of covariance structure analysis versus partial least squares.2010, Handbook of partial least squares. New York:Springer.
①Wetzels, M., Odekerken-Schroder, G., Oppen, C. V. Using PLS path modeling for assessing hierarchical construct models:Guidelines and empirical illustration. MIS Quarterly,2009,33(1), 177-195.
②Gefen, D., Straub, D. A practical guide to factorial validity using PLS-graph:Tutorial and annotated example. Communications of the Association for Information Systems,2005,16, 91-109.
①Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality:An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
②Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas.2004.
③Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management,2000,17,110-127.
①Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
②Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
③Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4),165-177.
①Lohmoeller, J.-B. Latent variables path analysis with partial least squares.1989, Heidelberg: Physica-Verl.
①Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
①Fornell, C. A., Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Joumal of Marketing Research,1981,18(1),39-50.
②Fornell, C. A., Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,1981,18(1),39-50.
①Wetzels, M, Odekerken-Schroder, G., Oppen, C. V. Using PLS path modeling for assessing hierarchical construct models:Guidelines and empirical illustration. MIS Quarterly,2009,33(1), 177-195.
①Rieh, S. Y. Judgment of information quality and cognitive authority in the web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
②Olaisen, J. Information quality factors and the cognitive authority of electronic information. In I. Wormell (Ed.), Information quality:Definitions and dimensions (pp.99-120).1990, Los Angeles: Taylor Graham.
①Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
②Liu, Z., Huang, X. Evaluating the credibility of scholarly information on the web:A cross cultural study. The International Information & Library Review,2005,37(2),99-106.
③Chaudhuri, A. A macro analysis of the relationship of product involvement and information search:The role of risk. Journal of Marketing Theory and Practice,2000,8(1),1-13.
④丁香调查派.医生眼中的"Dr.Internet"调查报告http://vote.dxy.cn/reportlist/content/id/13277 [2012-8-23].
⑤Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
⑥ Yeh, N.-C., Lin, J., Lu, H.-P. The moderating effect of social roles on user behaviour in virtual worlds. Online Information Review,2011,35(5),747-769.
①金晓玲.探讨网上问答社区的可持续发展：“雅虎知识堂”案例研究[D].合肥：中国科技大学,2009.
①沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
①Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
①刘立.信息技术条件下的消费者行为特征[J].情报学报,2002,21(2),237-241.
①沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
①Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
①章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
②Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
③周涛,鲁耀斌,张金隆.移动商务网站关键成功因素研究[J].管理评论,2011,23(6),62-67.
①孟广均等.信息资源管理导论[M].北京：科学出版社(2版),2003,p.14.
②沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
①罗家德.网络网际关系行销[M].北京：社会科学文献出版社,2001.
②Ardichvili, A. Learning and knowledge sharing in virtual communities of practice:Motivators, barriers, and enablers. Advances in Developing Human Resources,2008,10(4),541-554.
③McKnight, D. H., Chervany, N. L. Conceptualizing trust:A typology and E-Commerce customer relationships model. Proceedings of the 34th Hawaii International Conference on System Sciences, 2001.
④孟魁.虚拟社区环境下信任机制的研究[D].上海：复旦大学,2005.
⑤Hsu, M. H., Ju, T. L., Yen, C. H., Chang, C. M. Knowledge sharing behaviour in virtual communities:The relationship between trust, self-efficacy, and outcome expectation. International Journal of Human-Computer Studies,2007,65(2),153-169.
⑥Yang, H. L., Lai, C. Y. Motivations of Wikipedia content contributors. Computers in Human Behaviour,2010,26(6),1377-1383.
⑦Zha, X. J., Li, J., Yan, Y. L. Understanding preprint sharing on Sciencepaper Online from the perspectives of motivation and trust. Information Development,2012. doi: 10.1177/0266666912449455.
①Frey, K., Luthje, C. Antecedents and consequences of interaction quality in virtual end-user communities. Creativity and innovation management,2011,20(1),22-35.
②杜慧英.3G增值业务采纳行为及安全信任机制研究[D].北京：北京邮电大学,2011.
[1]Ahituv, N. A systematic approach toward assessing the value of an information system. Management Information Systems Quarterly,1980,4(4),61-75.
[2]Aladwani, A. M., Palvia, P. C. Developing and validating an instrument for measuring user-perceived web quality. Information & Management,2002,39,467-476.
[3]Alex, D., Michael, C., Peter, A. Risk management for software projects (2nd ed.). Berkshire, England:McGraw-Hill Book Company,1994.
[4]Alexander, J. E., Tate, M. A. Web wisdom:How to evaluate and create information quality on the web.1999, Mahwah, NJ:Erlbaum.
[5]Alkhattabi, M., Neagu, D., Cullen, A. Information quality framework for e-learning systems. Knowledge Management and E-Learning:An International Journal (KM&EL),2010,2(4), 340-362.
[6]Ardichvili, A. Learning and knowledge sharing in virtual communities of practice: Motivators, barriers, and enablers. Advances in Developing Human Resources,2008,10(4), 541-554.
[7]Armstrong, A., Hagel, J. The real value of online communities. Harvard Business Review, 1996,74(3),134-141.
[8]Audit Commission. Improving information to support decision making:Standards for better quality data.2007. http://www.audit-commission.gov.uk. [2012-8-10].
[9]Baily, J. E., Pearson, S. W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science,1983,29(5),530-545.
[10]Balasubramanian, S., Mahajan, V. The economic lever age of the virtual community. International Journal of Electronic Commerce,2001,5(3),103-138.
[11]Ballou, D., Pazer, H. L. Modeling data and process quality in multi-input, multi-output information systems. Management science,1985,31(2),150-162.
[12]Besiki, S., Gasser, L., Twidale, M. B., Smith, L. C. A framework for information quality assessment. Journal of the American Society for Information Science and Technology,2007, 58(12),1720-1733.
[13]Bovee, M. W. Information quality:A conceptual framework and empirical validation. University of Kansas,2004.
[14]Braman, S. Defining information:An approach for policy-makers. Telecommunications Policy,1989,13(3),233-242, p.233.
[15]Brown, A. L., Ellery, S., Campione, J. C. Creating zones of proximal development electronically in Thinking practices in mathematics and science learning.1998, NJ: Lawrence Erlbaun.
[16]Canadian Institute for Health Information. The CIHI Data Quality Framework. Ottawa, Ontario:CIHI.2009. http://www.cihi.ca/cihiweb/en/downloads/data_quality_framework_2009_e.pdf. [2012-8-10].
[17]Chaudhuri, A. A macro analysis of the relationship of product involvement and information search:The role of risk. Journal of Marketing Theory and Practice,2000,8(1),1-13.
[18]Cheung C. M. K. Understanding the sustainability of virtual community:Model development and empirical test. City University of Hong Kong,2007, p.194.
[19]Chin, W. W., Marcolin, B. L., Newsted, P. R. A partial least squares latent variable modeling approach for measuring interaction effects:Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research,2003, 14(2),189-217.
[20]Chiu, C.-M., Hsu, M.-H., Wang, E. T. G. Understanding knowledge sharing in virtual communities:An integration of social capital and social cognitive theories. Decision Support Systems,2006,42(3),1872-1888.
[21]Churchill, G. A. A paradigm for developing better measures of marketing constructs. Journal of Marketing Research,1979,16(1),64-73.
[22]CIRCULAR NO. A-130.1985. http://www.whitehouse.gov/omb/circulars_a130 [2012-7-10].
[23]Damman, O. C., Hendriks, M., Rademakers, J., Spreeuwenberg, P., Delnoij, D., Groenewegen, P. Consumers' interpretation and use of comparative information on the quality of health care:The effect of presentation approaches. Health Expectations,2012, 15(2),197-211.
[24]Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,1989,13 (3),318-339.
[25]Dedeke, A. A conceptual framework for developing quality measures for information systems. Proceedings of 5th International Conference on Information Quality,2000.
[26]Delone, W. H., McLean, E. R. Information systems success:The quest for the dependent variable. Information Systems Research,1992,3(1),60-95.
[27]DeLone, W. H., McLean, E. R. Model of information systems success:A ten-year update. Journal of Management Information Systems,2003,19(4),9-30.
[28]Deming, W. E. The new economics for industry, government, education. Cambridge: Massachusetts Institute of Technology,1993.
[29]Dholakia, U. M., Bagozzi, R. P., Pearo, L. K. A social influence model of consumer participation in network and small-group-based virtual communities. International Journal of Research in Marketing,2004,21(3),241-263.
[30]Elliot, S., Li, G., Choi, C. Understanding service quality in a virtual travel community environment. Journal of Business Research,2012, doi:10.1016/j.jbusres.2012.03.011.
[31]Emory, W. C., Cooper, D. R. Business research methods (4rd Edition).1991, Boston:Irwin/ McGrawHill.
[32]English, L. The years of information quality advances what next.2001. http://www. Informatio n-management.com/issues/20010201/3009-1.html [2012-7-11].
[33]Eppler, M. J. A generic framework for information quality in knowledge-intensive processes. Proceedings of the Sixth International Conference on Information Quality,2003.
[34]Eppler, M. Managing information quality:Increasing the value of information in knowledge-intensive products and processes. Germany:Springer-Verlag,2006.
[35]Eppler, M. J., Wittig, D. Conceptualizing information quality:A review of information quality frameworks from the last ten years. Proceedings of 5th International Conference on Information Quality,2000.
[36]Eppler, M. Muenzenmayer, P. Measuring information quality in the web context:A survey of state-of-the-art instruments and an application methodology. Proceedings of the Seventh International Conference on Information Quality,2002,187-196.
[37]Evans, J., Lindsay, W. The management and control of quality (6 ed.).2005, Mason, OH: Thomson.
[38]Fassnacht, M., Koese, I. Quality of electronic services:Conceptualizing and testing a hierarchical model. Journal of Service Research,2006,9(1),19-37.
[39]Fichman, P. A comparative assessment of answer quality on four question answering sites. Journal of Information Science,2010,37(5),476-486.
[40]Fisher, C., Lauria, E., Chengular-Smith, S., Wang, R. Y. Introduction to information quality. United Kingdom:AuthorHouse,2006.
[41]Forbes, J. D. Bridging the second digital divide:Readability of news web sites. California State University,2002.
[42]Fornell, C. A., Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,1981,18(1),39-50.
[43]Fornell, C., Bookstein, F. Two structural equation models:LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research.1982,19(4),440-452.
[44]Frey, K., Luthje, C. Antecedents and consequences of interaction quality in virtual end-user communities. Creativity and innovation management,2011,20(1),22-35.
[45]Garvin, D. A. Managing guality. New York, NY:The Free Press,1988.
[46]Gefen, D., Straub, D. A practical guide to factorial validity using PLS-graph:Tutorial and annotated example. Communications of the Association for Information Systems,2005,16, 91-109.
[47]Gemoets, L. A. Mahmood, M. A. Effect of the quality of user documentation on user satisfaction with information systems. Information and Management,1990,18(1),47-54.
[48]Gilly, K., Juiz, C., Thomas, N. Adaptive admission control algorithm in a QoS-aware Web system. Information Sciences,2012,199(15),58-77.
[49]Ha, S., Stoel, L. Consumer e-shopping acceptance:antecedents in a technology acceptance model. Journal of Business Research,2009,62(5),565-571.
[50]Hagel, J., Armstrong, A. Net gain:expanding markets through virtual cornnnunities.1997, Massachusetts:Harvard Business Sehool Press.
[51]Hair, J. F., Anderson, R. E., Tatham, R. L., Black, W. C. Multivariate data analysis with readings (3rd Edition).1992, New York:Macmillan.
[52]Hamilton, S., Chervany, N. L. Evaluating information system effectiveness-Partll: Comparing evaluator viewpoints. MIS Quarterly,1981,5(4),79-86.
[53]Hansen, M. Zero defect data:Tackling the corporate data quality problem, Cambridge:MIT Sloan School of Management,1991.
[54]Harmon, G. Progress in Communication Sciences. Journal of the American Sociaty for Information Science,2007,39(2),99-100.
[55]Hoyle, R. H., Kenny, D. A. Statistical strategies for small sample research. CA:Sage,1999.
[56]Hsu, M. H., Ju, T. L., Yen, C. H., Chang, C. M. Knowledge sharing behaviour in virtual communities:The relationship between trust, self-efficacy, and outcome expectation. International Journal of Human-Computer Studies,2007,65(2),153-169.
[57]Huang, K.-T., Lee, Y. W., Wang, R. Y. Quality information and knowledge.1999, New Jersey:Prentice Hall.
[58]Hulland, J., Ryan, M. J., Rayner, R. K. Modeling customer satisfaction:A comparative performance evaluation of covariance structure analysis versus partial least squares.2010, Handbook of partial least squares. New York:Springer.
[59]Jarke, M., Vassiliou, Y. Data warehouse quality:A review of the DWQ project. Proceeding of International Conference on Information Quality Cambridge,1997.
[60]Juran, J. Juran on quality by design. New York, NY:the free press,1992.
[61]Kahn, B. K., Stong, D. M. Product and service performance model for information quality: An update,1998, in:Chengalur-Smith, I., Pipino, L. L. Proceedings of the 1998 Conference on Information Quality,1998.
[62]Kahn, B.K., Strong, D.M, Wang, R. Information quality benchmarks:Product and service performance. Communications of the ACM,2002,45(4),184-192.
[63]Kaplowitz, M. D., Hoehn, J. Do focus groups and personal interviews reveal the same information for natural resource valuation? Ecological Economics,2001,36,237-247.
[64]Kelton, K. Trust in digital information. Journal of the American Society for Information Science and Technology,2008,59(3),363-374.
[65]Kerr, K. The institutionalisation of data quality in the New Zealand health sector. University of Auckland,2006.
[66]Kettinger, W. J., Lee, C. C. Perceived service quality and user satisfaction with the information services function. Decision Sciences,1994,25(5-6),737-766.
[67]Kim, B., Han, I. The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology,2009,60(5),1012-1026.
[68]Kim, H., Niehm, L. S. The impact of website quality on information quality, value, and loyalty in apparel retailing. Journal of Interactive Marketing,2009,23,221-233.
[69]Kiran, K., Diljit, S. Modeling web-based library service quality. Library & Information Science Research,2012,34(3),184-196.
[70]Klein, B. D., Goodhue, D. L., Davis, G B. Can humans detect errors in data? Impact of base rates, incentives, and goals. MIS Guarterly,1997,21 (2),169-194.
[71]Kovac's R., Lee, Y. W., Pipino, L. L. Total data quality management:The case of IRI.1997. http://pdf.aminer.org/000/413/591/total_data_quality_management_the_case_of_iri.pdf [2012-9-25].
[72]Kozinets, V. E-tribalized marketing:The strategic implications of virtual communities of consumption. European Management Journal,1999,17(3),252-264.
[73]Ku, E. C. S. Distributed fascinating knowledge over an online travel community. International Journal of Tourism Research,2012, DOI:10.1002/jtr.1895.
[74]Laudon, K. C. Data quality and due process in large interorganizational record systems. Communications of the ACM,1986,29(1),4-11.
[75]Lee, F. S. Vogel, D., Limayem, M. Virtual community informatics:A review and research agenda. Journal of Information Technology and Application,2003,5(1),47-61.
[76]Leung, H. K. N. Quality metrics for intranet applications. Information & Management, 2001,38(3),137-152.
[77]Lin, H.-F. Determinants of successful virtual communities:Contributions from system characteristics and social factors. Information & Management,2008,45 (8),522-527.
[78]Lin, J. C., Lu, H. Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management,2000,20(3),197-208.
[79]Liu, C., Arnett, K. P. Exploring the factors associated with web site success in the context of electronic commerce. Information and Management,2000,38 (1),23-33.
[80]Liu, X. W., Han, S. L. Ranking fuzzy numbers with preference weighting function expectations. Computers & Mathematics with Applications,2005,49(11-12),1731-1753.
[81]Liu, Z., Huang, X. Evaluating the credibility of scholarly information on the web:A cross cultural study. The International Information & Library Review,2005,37(2),99-106.
[82]Lohmoeller, J.-B. Latent variables path analysis with partial least squares.1989, Heidelberg: Physica-Verl.
[83]Long, J., Richards, J., Seko, C. E. The Canadian institute for health information (CIHI) data quality framework, Version 1:A meta-evaluation and future directions. Proceeding of the Seventh International Conference on Information Quality,2002.
[84]Lu, D., Yang, D. Information exchange in virtual communities under extreme disaster conditions. Decision Support Systems,2011,50,529-538.
[85]Machlup, F., Mansfield, U. The study of information:Interdisciplinary Messages.1983, New York:John Wiley & Sons, p.653.
[86]Madnick, S. E., Lee, Y. W., Wang, R. Y., Zhu, H. Overview and framework for data and information quality research. ACM J. Data Inform. Quality,2009,1(1),2-22.
[87]Maltz, E. Is all communication created equal? An investigation into the effects of communication mode on perceived information quality. Journal of Innovation Management, 2000,17,110-127.
[88]McClave, J., Benson, P. A first courses in business statistics (5th ed.).1992, New York, NY: Macmillan.
[89]McKinney, V., Yoon, K., Zahedi, F. M. The measurement of web-customer satisfaction:An expectation and disconfirmation approach. Information Systems Research,2002,13(3), 296-315.
[90]McKnight, D. H., Chervany, N. L. Conceptualizing trust:A typology and E-Commerce customer relationships model. Proceedings of the 34th Hawaii International Conference on System Sciences,2001.
[91]Miller, G. A. The magical number seven, plus or minus two:Some limits on our capacity for processing information. Psychological Review,1956,63(2),81-97, p.82.
[92]Miller, H. The multiple dimension of information quality. Information Systems Management,1996,13(2),79-82.
[93]Morey, R. C. Estimating and improving the quality of information in the MIS. Communications of the ACM,1982,25(5),337-342.
[94]Naumann, F., Rolker, C. Assessment methods for information quality criteria. Proceedings of 5th International Conference on Information Quality,2000.
[95]Nelson, R. R., Todd, P. A., Wixom, B. H. Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4),199-235.
[96]O'Reilly, C. A. Variations in decision makers' use of information sources:The impact of quality and accessibility of information. Academic of Management Journal,1982,25(4), 756-771.
[97]Olaisen, J. Information quality factors and the cognitive authority of electronic information. In I. Wormell (Ed.), Information quality:Definitions and dimensions (pp.99-120).1990, Los Angeles:Taylor Graham.
[98]Paperwork Reduction Act of 1995.1995. http://www.cio.gov/documents/paperwork_reduction_act_1995.html [2012-7-10].
[99]Pipino, L. L., Lee, Y. W., Wang, R. Y. Data quality assessment. Communications of the ACM,2002,45(4),211-218.
[100]Plant, R. Online communities. Technology in society,2004,26(1),51-65.
[101]Porter, M. E. Towards a dynamic theory of strategy. Strategic Management Journal,1991, S2(12),95-117.
[102]Prybutok, V. R., Spink, A. Transformation of a health care information system:A self-assessment survey. IEEE Transactions on Engineering Management,1999,46(3), 299-310.
[103]Rai, A., Al-Hindi, H. The effects of development process modeling and task uncertainty on development quality performance. Information and Management,2000,37(6),335-346.
[104]Ray, O. Big companies plug big causes for big gains. Business & Society Review,1995, 52(13),22-23.
[105]Redman, T. C. What those who know quality need to understand about data. Proceedings of the American Society for Quality Annual Quality Congress,2001.
[106]Rheingold, H. Virtual community:homesteading in the electronic frontoer.1993, MA: Addison-Wesley.
[107]Rieh, S. Y. Judgment of information quality and cognitive authority in the web. Journal of the American Society for Information Science and Technology,2002,53(2),145-161.
[108]Romm, C., Pliskin, N., Clarke, R. Virtual communities and society:Toward an integrative three phrase model. International Journal of Information Management,1997,17(4), 261-270.
[109]Salisbury, W. D., Pearson, R. A., Pearson, A. W., Miller, D. W. Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems,2001,101(4), 165-177.
[110]Seddon, P. B. A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research,2007,8(3),240-253, p.245.
[111]Sellami, M., Talbi, M. Quality management in information systems for combating desertification and dry lands management. NATO Advanced Research Workshop on Desertification and Risk Analysis Using High and Medium Satellite Date, Tozeur, Tunisia, 2008.
[112]Serenko, A., Detlor, B., Julien, H., Booker, L. D. A model of student learning outcomes of information literacy instruction in a business school. Journal of the American Society for Information Science and Technology,2012,63(4),671-686.
[113]Shanks, G., Corbitt, B. Understanding data quality:Social and cultural aspects. Proceedings of the 10th Australasian Conference on Information Systems,1999.
[114]Shelat, B., Egger, F. N. What makes people trust online gambling sites. Proceedings of the Conference on Human Factors in Computing Systems. New York:Association for computing machinary,2002.
[115]Srinivasan, A. Alternative measures of system effectiveness:Associations and implications. MIS Quarterly,1985,9(3),243-253.
[116]Stracke, C. M. Quality standards for quality development in e-learning:Adoption, implementation and adaptation. Proceedings of world conference on educational multimedia, hypermedia and telecommunication,2007.
[117]Strong, D., Lee, Y., Wang, R. Y. Data Quality in Context. Communications of the ACM, 1997,40(5),103-110.
[118]Stvilia, B. Measuring information quality. University of Illinois,2006, p.19.
[119]The Department of Health and Children. Proposed Health Information Bill.2011. http:// www.dohc.ie/issues/hib/[2012-07-21].
[120]United Nations Statistics Division. http://unstats.un.org/unsd/class/family/default.asp [2012-11-9].
[121]Van Dyke, T. P., Prybutok, V. R., Kappelman, L. A. Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences,1999, 30(3),877-891.
[122]Verwijs, C., Mulder, I., Slagter, R., de Poot, H. Positioning communities:A study on the state of the art of professional and learning communities.2001.
[123]Wand, Y., Wang, R. Y. Anchoring data quality dimensions in ontological foundations. Communications of the ACM,1996,39(11),86-95
[124]Wang, R. Y. A product perspective on total data quality management. Communications of the ACM,1998,41(2),58-65.
[125]Wang, R. Y., Strong, D. M. Beyond accuracy:What data quality means to data consumers. Journal of Management Information System,1996,12(4):5-34.
[126]Wei, K.-K., Teo, H.-H, Chan, H. C., Tan, B. C. Y. Conceptualizing and testing a social cognitive model of the digital divide. Information System Research,2011,22(1),170-187.
[127]Welsh Assembly Government. NHS Wales Informatics Service.1997. Caldicott:Principles into Practice [Online]. http://www.wales.nhs.uk/sites3/home.cfm?orgid=783 [2012-8-10]
[128]Wetzels, M., Odekerken-Schroder, G., Oppen, C. V. Using PLS path modeling for assessing hierarchical construct models:Guidelines and empirical illustration. MIS Quarterly,2009, 33(1),177-195.
[129]Yang, H. L., Lai, C. Y. Motivations of Wikipedia content contributors. Computers in Human Behaviour,2010,26(6),1377-1383.
[130]Yang, X., Zheng, H., Zheng, B. Analysis and design of quality management information system based on UML and BPR.3rd International Institute of Statistics and Management Engineering Symposium,2010.
[131]Yeh, N.-C., Lin, J., Lu, H.-P. The moderating effect of social roles on user behaviour in virtual worlds. Online Information Review,2011,35(5),747-769.
[132]Zeist, R. H. J., Hendriks, P. R. H. Specifying software quality with the extended ISO model. Software Quality Journal,1996,5(4),273-284.
[133]Zha, X. J., Li, J., Yan, Y. L. Understanding preprint sharing on Sciencepaper Online from the perspectives of motivation and trust. Information Development,2012. doi:10.1177 /0266666912449455.
[134]Zhu, X., Gauch, S. Incorporating quality metrics in centralized/distributed information retrieval on World Wide Web. Proceeding of 23 international ACM SIGIR conference on research and development in information retrieval,2000.
[135]Zmud, R. W. An empirical investigation of the dimensionality of the concept of information. Decision Sciences,1978,9(2),187-195.
[136]Zucker, L. G. Production of trust:Institutional sources of economic structure,1840-1920. Research in Organizational Behavior,1986,8(6),53-111.
[137]曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4),6-8.
[138]查先进,陈明红.信息资源质量评估研究[J].中国图书馆学报,2010,136(186),46-55.
[139]查先进.信息分析[M].武汉：武汉大学出版社,2011.
[140]查先进.信息资源配置与共享[M].武汉：武汉大学出版社,2008.
[141]丁香调查派.医生眼中的"Dr. Internet"调查报告http://vote.dxy.cn/reportlist/content/id/ 13277 [2012-8-23].
[142]陈传夫,唐琼,于媛等.网络上科学信息的时效性测量[J].情报学报,2009,28(4),610-617.
[143]陈晓萍,徐淑英,樊景立.组织与管理研究的实证方法[M].北京：北京大学出版社,2008.
[144]戴维民.网络信息优化传播导论[M].上海：复旦大学出版社,2004,p.102.
[145]戴雅楠.虚拟社区的传播特征浅析[J].东南传媒,2009(6),106-108.
[146]邓朝华.移动服务用户采纳模型及其实证研究[D].武汉：华中科技大学,2008.
[147]杜慧英.3G增值业务采纳行为及安全信任机制研究[D].北京：北京邮电大学,2011.
[148]范晓屏.非交易类虚拟社区成员参与动机：实证研究与管理启示[J].管理工程学报,2009,23(1),1-6.
[149]丰成君.信息交流原理[M].湖北：武汉大学出版社,1997,p.25.
[150]冯慧玲,周晓英.信息资源管理研究与教育：一个大有作为的领域[J].图书情报工作,2004(9),24-27.
[151]冯敏.基于数据包络分析(DEA)的组织信息质量评价[D].上海：华东理工大学,2005.
[152]高智勇,高建民,王侃昌,陈富明,刘军强.基于信息结构要素的信息质量定义与内涵分析[J].计算机集成制造系统,2006,12(10),1724-1728.
[153]葛某智,苏颖.信息质量研究的现状与未来研究方向[J].中国科技资源导刊,2009,41(1),5-16.
[154]郝金星.基于ISO 9000:2000质量管理体系的企业信息质量管理研究[D].武汉：武汉大学,2004.
[155]贺修明.信息安全、信息污染、信息犯罪与信息消费——信息社会化环境下的消费者权益保护[J].消费经济,1997(1),19-23.
[156]胡磊.互联网学术信息质量启发式评价中存在的问题分析[J].情报科学,2011,29(2):178-181.
[157]蒋坡.国际信息政策法律比较[M].法律出版社,2001,424-425.
[158]金献幸.城市政府门户网站服务质量与内外部用户再使用意愿研究——以杭州市政府门户网站为例[D].浙江：杭州大学,2007.
[159]金晓玲.探讨网上问答社区的可持续发展：“雅虎知识堂”案例研究[D].合肥：中国科 技大学,2009.
[160]靖继鹏,马费成,张向先.情报科学理论[M].北京：科学出版社,2009.
[161]柯平,高洁.信息管理概论[M].北京：科学出版社,2007.
[162]克劳斯比.零缺点的质量管理[M].北京：三联书店,1994.
[163]李君君,孙建军.基于因子分析的电子商务网站质量维度的实证研究[J].科技管理研究,2009,10,264-278.
[164]李荣山,吴新文,张春强等著.现代信息传播[M].湖北：湖北人民出版社,2004.
[165]李荣山.现代信息传播[M].湖北：湖北人民出版社,2004,p.3.
[166]连征忠.虚拟社群成员信任关系之探讨[D].台湾事业经营研究所,2002.
[167]林寅.提高信息质量促进企业科学决策——运用织布机监测数据改进现场管理[J].数量经济技术经济研究,1984(7),53-59.
[168]刘冰,卢爽.基于用户体验的信息质量综合评价体系研究[J].图书情报工作,2011,55(22),56-59.
[169]刘立.信息技术条件下的消费者行为特征[J].情报学报,2002,21(2),237-241.
[170]罗家德.网络网际关系行销[M].北京：社会科学文献出版社,2001.
[171]马小闳,龚国伟.信息质量评估研究[J].情报杂志,2006(5),19-21.
[172]孟广均等.信息资源管理导论[M].北京：科学出版社(2版).2003.
[173]孟魁.虚拟社区环境下信任机制的研究[D].上海：复旦大学,2005.
[174]米哈伊洛夫著,徐新民等译.科学交流与情报学[M].北京：科学技术文献出版社,1980.
[175]南宏师,张浩.网络传播学[M].北京：国防工业出版社,2008,p.163.
[176]倪波.信息传播原理[M].北京：书目文献出版社,1996.
[177]荣泰生AMOS与研究方法[M].重庆：重庆大学出版社.2010,p.59
[178]沈小玲.影响信息消费的主体因素分析[J].情报理论与实践,2008,31(6),849-853.
[179]宋立荣.基于网络共享的农业科技信息质量管理研究[D].北京：中国农业科学院,2008.
[180]宋立荣,彭洁.美国政府“信息质量法”的介绍及其启示[J].情报杂志,2012,31(2),12-18.
[181]宋立荣,李思经.从数据质量到信息质量的发展[J].情报科学,2009,28(2),182-56.
[182]宋立荣,诸军亮.网络信息环境下信息质量管理的初步认识[J].现代情报,2009,29(10),53-56.
[183]苏强,梁冰.信息质量及其评价指标[J].计算机系统应用,2000(7),63-65.
[184]孙丽萍.虚拟社区中的知识分享行为分析.合作经济与科技,2007(11),54-55.
[185]王飞绒,龚建立,柴晋颖.虚拟社区知识共享运作机制研究[J].虚拟社区知识共享运 作机制研究浙江学刊,2007(5),201-205.
[186]王培智.软科学知识词典[Z].北京：中国展望出版社,1988,776-777.
[187]王秋文,郑建明.Web2.0环境下网络信息消费行为模式研究[J].新世纪图书馆,2012(5),23-26.
[188]王颖.企业统计数据质量影响因素研究[D].浙江：浙江大学,2006.
[189]王雨田.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社(2版),1988.
[190]文军,蒋逸民.质性研究概述[M].北京：北京大学出版社,2010.
[191]吴风.网络传播学——一种形而上的透视[M].北京：中国广播电视出版社,2004,p.236.
[192]谢阳群等.微观信息管理[M].合肥：安徽大学出版社,2004,p.36.
[193]杨学山.情报科学理论体系逻辑结构探讨[J].情报科学,1984,5(2),1-8.
[194]杨彦青.知识型虚拟社区客户价值影响因素及客户忠诚度研究[D].浙江：浙江大学,2009.
[195]余玮.改进企业网上财务信息质量[J].中国会计电算化,2003(6),7-8.
[196]袁毅,蔚海燕.问答社区低可信度信息的传播与控制研究[J].图书馆论坛,2011,31(6),171-177.
[197]张豪锋,边会艳.研究生网络问答社区使用现状调查与分析[J].现代教育技术,2012,22(6),84-87.
[198]章帆,韩福荣.质量生态学研究(2)——质量概念与质量管理理论的演化[J].世界标准化与质量管理,2005(4),29-32.
[199]章郑.网络社会资本对虚拟社区知识共享及创新的影响研究[D].浙江：浙江大学,2008.
[200]钟义信.信息科学原理[M].北京:北京邮电大学出版社,1996,p.6.
[201]周涛,鲁耀斌,张金隆.移动商务网站关键成功因素研究[J].管理评论,2011,23(6),62-67.
[202]朱东红.网络社区交互对消费者购买意愿的影响：基于比较的视角[D].武汉：华中科技大学,2012.
[203]朱兰.质量管理回顾与展望[J].冶金标准化与质量.1995(4),28-35.