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数据分析与知识发现  2018, Vol. 2 Issue (8): 16-30     https://doi.org/10.11925/infotech.2096-3467.2018.0216
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
新一代知识问答平台中提问者付费意愿的影响因素探究*
赵宇翔1(), 刘周颖1, 宋士杰2
1南京理工大学经济管理学院 南京 210094
2南京大学信息管理学院 南京 210023
Exploring the Influential Factors of Askers’ Intention to Pay in Knowledge Q&A Platforms
Zhao Yuxiang1(), Liu Zhouying1, Song Shijie2
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Information Management, Nanjing University, Nanjing 210023, China
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摘要 

目的】为了促进新一代知识问答平台的可持续发展, 对提问者付费意愿的影响因素进行探究。【方法】在文献梳理的基础上, 对传统知识问答平台和新一代知识问答平台之间的异同点进行比较分析。基于社会交换理论和社会资本理论, 运用结构方程模型对提问者的付费意愿进行实证研究。【结果】提问者的感知价值对付费意愿具有显著的正向影响; 经济收益、社会支持、自我提升和娱乐享受对感知价值具有显著的正向影响, 而经济成本对感知价值具有显著的负向影响; 正向互惠信念对经济成本具有显著的正向调节效应, 同时提问者对答主的信任感也显著地正向调节了感知价值和付费意愿的关系。【局限】仅采用截面数据, 且大部分数据依赖于参与者的自我报告。【结论】丰富新一代知识问答平台用户参与动机的理论基础, 并为付费知识问答平台的管理和设计提供相应的建议。

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赵宇翔
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关键词 分享经济知识问答平台知识付费付费意愿    
Abstract

[Objective] This paper explores the influencing factors of the askers’ intention to pay, aiming to promote the development of the knowledge Q&A platforms. [Methods] First, we compared the similarities and differences between the traditional and the new generation of knowledge Q&A platforms after conducting comprehensive literature review. Then, we built a model and conducted an empirical study on the askers’ intention to pay based on the theory of social exchange and social capital. [Results] The perceived value posed significant positive impact on the askes’ intention to pay. The financial benefit, social support, self-enhancement and entertainment had significant positive impacts on perceived value, while the financial cost had significant negative impacts on the askers’ intention to pay. The positive reciprocity belief posed significant positive effects on the financial costs, and the askers’ trust in the answerer also positively changed the relationship between perceived value and intention to pay. [Limitations] The study only employed cross-section data, and most of the data were self-reported. [Conclusions] The research contributes to the theoretical foundation of examining askers’ intention to use the payment-based knowledge Q&A platforms. It also offers some practical suggestion to the design and management of these new systems.

Key wordsSharing Economy    Knowledge Q&A Platforms    Pay for Knowledge    Pay Intention
收稿日期: 2018-02-28      出版日期: 2018-09-08
ZTFLH:  G254.9  
基金资助:*本文系国家自然科学基金面上项目“基于科研众包模式的公众科学项目运作与管理机制研究”(项目编号: 71774083)和国家自然科学基金青年项目“基于行动者网络框架的众包模式设计与管理研究”(项目编号: 71403119)的研究成果之一
引用本文:   
赵宇翔, 刘周颖, 宋士杰. 新一代知识问答平台中提问者付费意愿的影响因素探究*[J]. 数据分析与知识发现, 2018, 2(8): 16-30.
Zhao Yuxiang,Liu Zhouying,Song Shijie. Exploring the Influential Factors of Askers’ Intention to Pay in Knowledge Q&A Platforms. Data Analysis and Knowledge Discovery, 2018, 2(8): 16-30.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0216      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2018/V2/I8/16
  新一代知识问答平台运作模式
特征维度 传统知识问答平台 新一代知识问答平台
业务模式 免费 付费(大额支付及微支付)
用户角色 提问者、回答者、潜水者 提问者、回答者、偷听者
运作模式 提问者免费提问, 问题可以由众多回答者回答, 潜水者可免费搭便车查看回答内容 提问者向回答者一对一付费提问(回答者定价), 回答者独立回答问题, 偷听者查看回答内容需进行微支付
回答属性 事实型、建议型居多 洞见型、观点型居多
回答方式 文字为主 文字、图片、语音、视频为主
典型平台 百度知道、搜狗问问、新浪爱问 分答、值乎、新浪微博问答
  传统知识问答平台和新一代知识问答平台的比较
  研究模型
构念 测度问题项 参考文献
问题编撰成本(CC) 1.在新一代知识问答平台上, 我提出一个问题需要花费较长的时间。
2.在新一代知识问答平台上, 我提出一个问题需要耗费较多的精力。
[21]
经济成本(FC) 1.在新一代知识问答平台上, 提问所需支出的费用比较高。
2.我担心选择了不合适的答主而浪费了我所花费的金钱。
[66]
经济收益(FB) 1.在新一代知识问答平台上进行提问, 我能够获得经济上的回报。
2.在新一代知识问答平台中, 所获得收益能够部分改善我的经济状况。
[2,30]
社会支持(SP) 1.当我向新一代知识问答平台上的答主诉说所遇到的问题时, 新一代知识问答平台上的答主会给予我必要的情感支持。
2.当我向新一代知识问答平台上的答主诉说所遇到的问题时, 新一代知识问答平台上的答主会倾听我的个人感受。
3.当我向新一代知识问答平台上的答主诉说所遇到的问题时, 新一代知识问答平台上的答主会给予我充分的重视。
[37,44]
自我提升(SE) 1.在新一代知识问答平台上, 我可以学到许多知识。
2.新一代知识问答平台中的回答内容让我的技能有所提升。
3.新一代知识问答平台中的回答内容让我的效率有所提升。
[67]
娱乐享受(ENT) 1.我觉得在新一代知识问答平台上提问是有趣的。
2.在使用新一代知识问答平台的过程中, 我觉得十分愉快。
3.在使用新一代知识问答平台的过程中, 我可以得到放松。
[9,45]
对答主的信任(TIA) 1.我对新一代知识问答平台中答主的能力有信心。
2.我认为新一代知识问答平台中的答主是值得信任的。
3.我相信如果我遇到难题, 新一代知识问答平台中的答主会尽力帮我解决。
[18]
对平台的信任(TIP) 1.我相信新一代知识问答平台会对问答内容采取保护措施, 不会被恶意使用。
2.我相信新一代知识问答平台会保障付费问答的安全性。
3.我相信新一代知识问答平台对问答方式有相应的技术支撑。
[32]
正向互惠信念(PRB) 1.我通常会对别人的帮助予以回报。
2.如果答主解答了我的疑问, 我觉得我应当给予其一定的报酬。
3.我觉得我应当付回答者一定的报酬来表示我对他/她的感谢。
[53]
感知价值(PV) 1.我认为在新一代知识问答平台上进行提问付费是一个不错的交易。
2.我在新一代知识问答平台上所付出的金钱是值得的。
3.总的来说, 新一代知识问答平台给我提供的回答是物有所值的。
[24]
付费意愿(PI) 1.未来我在新一代知识问答平台上进行提问付费的可能性较高。
2.如果我有问题要问, 我会考虑在新一代知识问答平台上进行付费提问。
3.我在新一代知识问答平台上进行付费提问的意愿较高。
[24]
  量表选项来源及题项设计
基本信息 类别 样本数 所占比例
性别 118 47.97%
128 52.03%
年龄 18岁以下 5 2.03%
19-24岁 115 46.75%
25-34岁 100 40.65%
35-44岁 24 9.76%
45岁以上 2 0.81%
受教育
程度
高中及以下 9 3.66%
大专及本科 115 46.75%
硕士研究生 91 36.99%
博士研究生 31 12.60%
提问次数(平台提供) 1-3次 7 2.85%
4-6次 119 48.37%
7-9次 84 34.15%
10次及以上 36 14.63%
每次提问所花费的平均时间 1小时之内 110 44.72%
1-2小时 92 37.40%
2-3小时 37 15.04%
3小时以上 7 2.84%
  调研样本的基本信息统计
  提问者的收益状况
  提问者首要考虑因素
  选择答主时的考虑因素
构念 Cronbach’s Alpha CR AVE VIF
问题编撰成本(CC) 0.898 0.943 0.902 2.256
经济成本(FC) 0.754 0.882 0.806 1.467
经济收益(FB) 0.896 0.931 0.903 1.578
社会支持(SP) 0.856 0.901 0.805 1.324
自我提升(SE) 0.802 0.912 0.745 1.768
娱乐价值(ENT) 0.807 0.843 0.765 1.654
感知价值(PV) 0.844 0.931 0.786 1.231
付费意愿(PI) 0.742 0.865 0.734 1.653
正向互惠信念(PRB) 0.889 0.947 0.854 2.211
对答主的信任(TIA) 0.754 0.838 0.836 1.436
对平台的信任(TIP) 0.776 0.872 0.858 1.656
  信度分析
CC FC FB SP SE ENT PV PI PRB TIA TIP
CC 0.890
FC 0.404 0.886
FB -0.022 -0.234 0.946
SP -0.098 -0.364 0.389 0.898
SE -0.145 -0.143 0.405 0.521 0.867
ENT -0.198 -0.278 0.378 0.465 0.404 0.884
PV -0.206 -0.367 0.785 0.543 0.496 0.564 0.894
PI -0.027 -0.204 0.508 0.484 0.404 0.421 0.504 0.823
PRB -0.044 -0.067 0.354 0.432 0.258 0.196 0.154 0.452 0.822
TIA -0.106 -0.004 0.196 0.156 0.206 0.054 0.043 0.322 0.457 0.845
TIP -0.209 -0.768 0.467 0.447 0.314 0.364 0.567 0.308 0.082 0.032 0.908
  效度分析
  研究模型分析
  正向互惠信念对经济成本和感知价值之间关系的调节效应
  对答主的信任对感知价值和付费意愿之间关系的调节效应
[1] Cheng M.Sharing Economy: A Review and Agenda for Future Research[J]. International Journal of Hospitality Management, 2016, 57: 60-70.
doi: 10.1016/j.ijhm.2016.06.003
[2] Hamari J, Sjöklint M, Ukkonen A.The Sharing Economy: Why People Participate in Collaborative Consumption[J]. Journal of the Association for Information Science & Technology, 2016, 67(9): 2047-2059.
[3] 关于促进分享经济发展的指导性意见 [OL]. [2017-07-03]. .
[3] (Guidance on Promoting the Development of Sharing Economy[OL]. [2017-07-03].
[4] 刘周颖, 赵宇翔. 基于语音互动的付费知识问答社区运营模式初探——以分答和值乎为例[J]. 图书与情报, 2017(4) :38-46.
doi: 10.11968/tsyqb.1003-6938.2017071
[4] (Liu Zhouying, Zhao Yuxiang.A Preliminary Study on the Operation Mode of the Paid Knowledge Q&A Community Based on the Voice Chat: Taking Fenda and Zhihu as Cases[J]. Library & Information, 2017(4): 38-46.)
doi: 10.11968/tsyqb.1003-6938.2017071
[5] 智酷Live报告:有多少网民愿意花钱买知识?| 知识付费调研[OL]. [2016-12-19]. .
[5] (Zhiku Live Report: How Many Netizens are Willing to Pay for Knowledge? | Research on Knowledge Payment [OL]. [2016-12-19].
[6] Choi E, Shah C.User Motivations for Asking Questions in Online Q&A Services[J]. Journal of the Association for Information Science and Technology, 2015,67(5):1182-1197.
doi: 10.1002/asi.23490
[7] Wilson T D.On User Studies and Information Needs[J]. Journal of Documentation, 1981, 37(1): 3-15.
doi: 10.1108/eb026702
[8] Zhang Y.Contextualizing Consumer Health Information Searching: An Analysis of Questions in a Social Q&A Community[C]//Proceedings of the 1st ACM International Health Informatics Symposium. ACM, 2010: 210-219.
[9] Choi E, Kitzie V, Shah C.Developing a Typology of Online Q&A Models and Recommending the Right Model for Each Question Type[J]. Proceedings of the Association for Information Science and Technology, 2012, 49(1): 1-4.
[10] Lee J H, Downie J S, Cunningham S J.Challenges in Cross-Cultural/Multilingual Music Information Seeking[C]// Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR). 2005: 1-7.
[11] Morris M R, Teevan J, Panovich K.What do People Ask Their Social Networks, and Why?: A Survey Study of Status Message Q&A Behavior[C]//Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2010: 1739-1748.
[12] Chen Y, Ho T H U A, Kim Y M I. Knowledge Market Design: A Field Experiment at Google Answers[J]. Journal of Public Economic Theory, 2010, 12(4): 641-664.
doi: 10.1111/j.1467-9779.2010.01468.x
[13] Zeithaml V A.Consumer Perceptions of Price, Quality, and Value: A Means-end Model and Synthesis of Evidence[J]. Journal of Marketing, 1988, 52(3): 2-22.
doi: 10.2307/1251446
[14] Kim H W, Xu Y, Gupta S.Which is More Important in Internet Shopping, Perceived Price or Trust?[J]. Electronic Commerce Research and Applications, 2012, 11(3): 241-252.
doi: 10.1016/j.elerap.2011.06.003
[15] Wu K, Vassileva J, Noorian Z, et al.How do You Feel When You See a List of Prices? The Interplay Among Price Dispersion, Perceived Risk and Initial Trust in Chinese C2C Market[J]. Journal of Retailing and Consumer Services, 2015, 25: 36-46.
doi: 10.1016/j.jretconser.2015.03.007
[16] Homans G C.Social Behavior as Exchange[J]. American Journal of Sociology, 1958, 63(6): 597-606.
doi: 10.1086/222355
[17] Cropanzano R, Mitchell M S.Social Exchange Theory: An Interdisciplinary Review[J]. Journal of Management, 2005, 31(6): 874-900.
[18] Zhao L, Lu Y, Wang B, et al.Cultivating the Sense of Belonging and Motivating User Participation in Virtual Communities: A Social Capital Perspective[J].International Journal of Information Management, 2012, 32: 574-588.
doi: 10.1016/j.ijinfomgt.2012.02.006
[19] 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[J]. Decision Support Systems, 2006, 42(3): 1872-1888.
doi: 10.1016/j.dss.2006.04.001
[20] Nahapie J, Ghoshal S. Social Capital, Intellectual Capital,the Organizational Advantage[J]. Academy of Management Journal, 1998, 23(2): 242-266.
[21] Kankanhalli A, Tan B, Wei K K.Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation[J]. MIS Quarterly, 2005, 29(1): 113-143.
doi: 10.2307/25148670
[22] Hall H.Borrowed Theory: Applying Exchange Theories in Information Science Research[J]. Library & Information Science Research, 2003, 25(3): 287-306.
doi: 10.1016/S0740-8188(03)00031-8
[23] Emerson R M.Social Exchange Theory[J]. Annual Review of Sociology, 1976, 2(1): 335-362.
doi: 10.1146/annurev.so.02.080176.002003
[24] Kim H W, Xu Y, Gupta S.Which is More Important in Internet Shopping, Perceived Price or Trust?[J]. Electronic Commerce Research and Applications, 2012, 11(3): 241-252.
doi: 10.1016/j.elerap.2011.06.003
[25] Shafiq R, Raza I, Zia-ur-Rehman M. Analysis of the Factors Affecting Customers’ Purchase Intention: The Mediating Role of Perceived Value[J]. African Journal of Business Management, 2011, 5(26): 10577-10585.
[26] Shu W, Chuang Y H.Why People Share Knowledge in Virtual Communities[J]. Social Behavior and Personality, 2011, 39(5): 671-690.
doi: 10.2224/sbp.2011.39.5.671
[27] Beck R, Rai A, Fischbach K, et al.Untangling Knowledge Creation and Knowledge Integration in Enterprise Wikis[J]. Journal of Business Economics, 2015, 85(4): 389-420.
doi: 10.1007/s11573-014-0760-2
[28] Zhang J, Qu Y, Hansen D.User Acceptance of Micro-blogging in the Enterprise[C]//Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. 2010.
[29] Dodds W B, Monroe K B.The Effect of Brand and Price Information on Subjective Product Evaluations[J]. NA-Advances in Consumer Research, 1985, 12(3):85-90.
doi: 10.2307/2392687
[30] Hau Y S, Kim B, Lee H, et al.The Effects of Individual Motivations and Social Capital on Employees’ Tacit and Explicit Knowledge Sharing Intentions[J]. International Journal of Information Management, 2013, 33(2): 356-366.
doi: 10.1016/j.ijinfomgt.2012.10.009
[31] Hsieh G, Kraut R E, Hudson S E.Why Pay?: Exploring How Financial Incentives are Used for Question & Answer[C]//Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2010: 305-314.
[32] Ye H J, Kankanhalli A.Solvers’ Participation in Crowdsourcing Platforms: Examining the Impacts of Trust, and Benefit and Cost Factors[J]. The Journal of Strategic Information Systems, 2017, 26(2): 101-117.
doi: 10.1016/j.jsis.2017.02.001
[33] Cobb S.Social Support as a Moderator of Life Stress[J]. Psychosomatic Medicine, 1976, 38(5): 300-314.
doi: 10.1097/00006842-197609000-00003
[34] Pfeil U.Online Support Communities[A]//Social Computing and Virtual Communities[M]. New York: CRC Press, 2009: 124-127.
[35] Elliott R, Bohart A C, Watson J C, et al.Empathy[J] Psychotherapy Theory Research Practice Training, 2011, 48(1):43-49.
doi: 10.1037/a0022187
[36] Walter H.Social Cognitive Neuroscience of Empathy: Concepts, Circuits, and Genes[J]. Emotion Review, 2012, 4(1): 9-17.
doi: 10.1177/1754073911421379
[37] Lin X, Zhang D, Li Y.Delineating the Dimensions of Social Support on Social Networking Sites and Their Effects: A Comparative Model[J]. Computers in Human Behavior, 2016, 58: 421-430.
doi: 10.1016/j.chb.2016.01.017
[38] Liang T P, Ho Y T, Li Y W, et al.What Drives Social Commerce: The Role of Social Support and Relationship Quality[J]. International Journal of Electronic Commerce, 2011, 16(2): 69-90.
doi: 10.2753/JEC1086-4415160204
[39] Huang Q, Davison R M, Gu J.Impact of Personal and Cultural Factors on Knowledge Sharing in China[J]. Asia Pacific Journal of Management, 2008, 25(3): 451-471.
doi: 10.1007/s10490-008-9095-2
[40] Sangwan S.Virtual Community Success: A Uses and Gratifications Perspective[C]//Proceedings of the 38th Annual Hawaii International Conference on System Sciences. IEEE, 2005.
[41] Lee M R, Yen D C, Hsiao C Y.Understanding the Perceived Community Value of Facebook Users[J]. Computers in Human Behavior, 2014, 35(2): 350-358.
doi: 10.1016/j.chb.2014.03.018
[42] Zhang C B, Li Y N, Wu B, et al.How WeChat Can Retain Users: Roles of Network Externalities, Social Interaction Ties, and Perceived Values in Building Continuance Intention[J]. Computers in Human Behavior, 2017, 69: 284-293.
doi: 10.1016/j.chb.2016.11.069
[43] Lin K Y, Lu H P.Why People Use Social Networking Sites: An Empirical Study Integrating Network Externalities and Motivation Theory[J]. Computers in Human Behavior, 2011, 27(3): 1152-1161.
doi: 10.1016/j.chb.2010.12.009
[44] Chen G L, Yang S C, Tang S M.Sense of Virtual Community and Knowledge Contribution in a P3 Virtual Community: Motivation and Experience[J]. Internet Research, 2013, 23(1): 4-26.
doi: 10.1108/10662241311295755
[45] Ifinedo P.Applying Uses and Gratifications Theory and Social Influence Processes to Understand Students’ Pervasive Adoption of Social Networking Sites:Perspectives from the Americas[J]. International Journal of Information Management, 2016, 36: 192-206.
doi: 10.1016/j.ijinfomgt.2015.11.007
[46] Chang S E, Shen W C, Liu A Y.Why Mobile Users Trust Smartphone Social Networking Services? A PLS-SEM Approach[J]. Journal of Business Research, 2016, 69(11): 4890-4895.
doi: 10.1016/j.jbusres.2016.04.048
[47] Mohammad M.The Effects of Utilitarian and Hedonic Online Shopping Value on Consumer Perceived Value[D]. Universitas Muhammadiyah Surakarta, 2016.
[48] Kim H W, Chan H C, Gupta S.Value-based Adoption of Mobile Internet: An Empirical Investigation[J]. Decision Support Systems, 2007, 43(1): 111-126.
doi: 10.1016/j.dss.2005.05.009
[49] Perugini M, Gallucci M, Presaghi F, et al.The Personal Norm of Reciprocity[J]. European Journal of Personality, 2003, 17(4): 251-283.
doi: 10.1002/(ISSN)1099-0984
[50] Wasko M M L, Faraj S. Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice[J]. MIS Quarterly, 2005, 29(1): 35-57.
doi: 10.2307/25148667
[51] Chai S, Das S, Rao H R.Factors Affecting Bloggers’ Knowledge Sharing: An Investigation Across Gender[J]. Journal of Management Information Systems, 2011, 28(3): 309-342.
doi: 10.2753/MIS0742-1222280309
[52] Umphress E E, Bingham J B, Mitchell M S.Unethical Behavior in the Name of the Company: The Moderating Effect of Organizational Identification and Positive Reciprocity Beliefs on Unethical Pro-Organizational Behavior[J]. Journal of Applied Psychology, 2010, 95(4): 769.
doi: 10.1037/a0019214
[53] Eisenberger R, Lynch P, Aselage J, et al.Who Takes the Most Revenge? Individual Differences in Negative Reciprocity Norm Endorsement[J]. Personality and Social Psychology Bulletin, 2004, 30(6): 787-799.
doi: 10.1177/0146167204264047 pmid: 15155041
[54] Lin C P.To Share or Not to Share: Modeling Knowledge Sharing Using Exchange Ideology as a Moderator[J]. Personnel Review, 2007, 36(3): 457-475.
doi: 10.1108/00483480710731374
[55] Zhang X, Chen Z, Vogel D, et al.Exchange Ideology as a Moderator of Knowledge Sharing in Virtual Teams: A Social Exchange Theory Perspective[J]. International Journal of Internet and Enterprise management, 2009, 6(2): 143-163.
doi: 10.1504/IJIEM.2009.023927
[56] Chai S, Kim M.What Makes Bloggers Share Knowledge? An Investigation on the Role of Trust[J]. International Journal of Information Management, 2010, 30(5): 408-415.
doi: 10.1016/j.ijinfomgt.2010.02.005
[57] Fang Y H, Chiu C M.In Justice We Trust: Exploring Knowledge-Sharing Continuance Intentions in Virtual Communities of Practice[J]. Computers in Human Behavior, 2010, 26(2): 235-246.
doi: 10.1016/j.chb.2009.09.005
[58] Lin C P.To Share or Not to Share: Modeling Tacit Knowledge Sharing, Its Mediators and Antecedents[J]. Journal of Business Ethics, 2007, 70(4): 411-428.
doi: 10.1007/s10551-006-9119-0
[59] Park J G, Lee J.Knowledge Sharing in Information Systems Development Projects: Explicating the Role of Dependence and Trust[J]. International Journal of Project Management, 2014, 32(1): 153-165.
doi: 10.1016/j.ijproman.2013.02.004
[60] Lin M J J, Hung S W, Chen C J. Fostering the Determinants of Knowledge Sharing in Professional Virtual Communities[J]. Computers in Human Behavior, 2009, 25(4): 929-939.
doi: 10.1016/j.chb.2009.03.008
[61] Lu Y, Zhao L, Wang B.From Virtual Community Members to C2C E-Commerce Buyers: Trust in Virtual Communities and Its Effect on Consumers’ Purchase Intention[J]. Electronic Commerce Research and Applications, 2010, 9(4): 346-360.
doi: 10.1016/j.elerap.2009.07.003
[62] Shiau W L, Luo M M.Factors Affecting Online Group Buying Intention and Satisfaction: A Social Exchange Theory Perspective[J]. Computers in Human Behavior, 2012, 28(6): 2431-2444.
doi: 10.1016/j.chb.2012.07.030
[63] Dan J K, Ferrin D L, Rao H R.A Trust-based Consumer Decision-making Model in Electronic Commerce: The Role of Trust, Perceived risk, and Their Antecedents[J]. Decision Support Systems, 2008, 44(2): 544-564.
doi: 10.1016/j.dss.2007.07.001
[64] Ganguly B, Dash S B, Cyr D, et al.The Effects of Website Design on Purchase Intention in Online Shopping: The Mediating Role of Trust and the Moderating Role of Culture[J]. International Journal of Electronic Business, 2010, 8(4): 302-330.
doi: 10.1504/IJEB.2010.035289
[65] Chang H H, Wong K H.Adoption of E-Procurement and Participation of E-Marketplace on Firm Performance: Trust as a Moderator[J]. Information & Management, 2010, 47(5): 262-270.
[66] Lee M, Cunningham L F.A Cost/Benefit Approach to Understanding Service Loyalty[J]. Journal of Services Marketing, 2001, 15(2): 113-130.
doi: 10.1108/08876040110387917
[67] Nov O, Naaman M, Ye C.Analysis of Participation in an Online Photo‐Sharing Community: A Multidimensional Perspective[J]. Journal of the Association for Information Science and Technology, 2010, 61(3): 555-566.
[68] Ringle C M, Sarstedt M, Straub D W. Editor’s Comments: A Critical Look at the Use of PLS-SEM in “MIS Quarterly”[J]. MIS Quarterly, 2012, 36(1): iii-xiv.
doi: 10.1089/thy.1990.1.65.
[69] Wetzels M, Odekerken-Schröder G, Van Oppen C.Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration[J]. MIS Quarterly, 2009, 33(1): 177-195.
doi: 10.2307/20650284
[70] Bagozzi R, Yi Y.On the Evaluation of Structural Equation Models[J]. Journal of the Academy of Marketing Science, 1998, 16(1): 74-94.
doi: 10.1007/BF02723327
[71] Diamantopoulos A, Winklhofer H M.Index Construction with Formative Indicators: An Alternative to Scale Development[J]. Journal of Marketing Research, 2001, 38(2): 269-277.
doi: 10.1509/jmkr.38.2.269.18845
[72] Fornell C, Larcker D F.Evaluating Structural Equation Models with Unobservable Variables and Measurement Error[J]. Journal of Marketing Research, 1981, 18(1): 39-50.
doi: 10.2307/3151312
[73] Podsakoff P M, Mackenzie S B, Lee J Y, et al.Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies[J]. Journal of Applied Psychology, 2003, 88(5): 879-903.
doi: 10.1037/0021-9010.88.5.879
[74] Jaccard J, Wan C K, Turrisi R.The Detection and Interpretation of Interaction Effects Between Continuous Variables in Multiple Regression[J]. Multivariate Behavioral Research, 1990, 25(4): 467-478.
doi: 10.1207/s15327906mbr2504_4
[75] 赵宇翔, 朱庆华. 感知示能性在社会化媒体后续采纳阶段的调节效应初探[J]. 情报学报, 2013, 32(10): 1099-1111.
doi: 10.3772/j.issn.1000-0135.2013.10.009
[75] (Zhao Yuxiang, Zhu Qinghua.Exploring the Moderating Effects of Perceived Affordance at Social Media Post-adoption Stage[J]. Journal of the China Society for Scientific and Technical Information, 2013, 32(10): 1099-1111.)
doi: 10.3772/j.issn.1000-0135.2013.10.009
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