Please wait a minute...
Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (11): 60-69    DOI: 10.11925/infotech.2096-3467.2019.0339
Current Issue | Archive | Adv Search |
Knowledge Sharing of Competitive Crowdsourcing Community Based on fsQCA
Xinyuan Lu,Xuelin Wang(),Qiaofeng Dai
Hubei Electronic Commerce Research Center, Wuhan 430079, China
Download: PDF (471 KB)   HTML ( 12
Export: BibTeX | EndNote (RIS)      

[Objective] This paper analyzes the contributions of the crowdsourcing community members, aiming to encourage them to share more knowledge. [Methods] We adopted qualitative comparison method based on fuzzy sets to study these members from a competitive knowledge crowdsourcing community. Then, we chose condition variables from community environment, motivation theory, and sunk cost effect. Finally, we used the degree of knowledge contribution as the result variable. [Results] There are two types of high-level knowledge sharing configurations: (I) Communities with administrators could lead members to a high degree of knowledge sharing through currency rewards and sunk costs (time or money); (II) Community members invested money and time could also promote high-level knowledge sharing. There are two types of low-level knowledge sharing: (I) In communities without administrators, it is hard for members to share knowledge;(II)Community members without money or time investments had low level of knowledge sharing. [Limitations] We only studied one website and the cross-section of research data might influence our results. [Conclusions] The proposed method helps the knowledge sharing community improve member management, as well as the quality of crowdsourcing tasks.

Key wordsFuzzy-Set Qualitative Comparative Analysis      Configuration      Knowledge Sharing     
Received: 29 March 2019      Published: 18 December 2019
ZTFLH:  C93-0  
Corresponding Authors: Xuelin Wang     E-mail:

Cite this article:

Xinyuan Lu,Xuelin Wang,Qiaofeng Dai. Knowledge Sharing of Competitive Crowdsourcing Community Based on fsQCA. Data Analysis and Knowledge Discovery, 2019, 3(11): 60-69.

URL:     OR

结果变量 划分标准 补充
知识贡献程度 高程度知识贡献(1); 低程度知识贡献(0) 参考指标: (1) 发帖总数; (2) 回帖总数
条件变量 划分标准 补充
管理员(1); 非管理员(0) 所在圈子由网站管理员创建记为1, 非管理员记为0
完全隶属成员=85 th 百分位数;
完全不隶属=15 th 百分位数;
将第85百分位数记为1, 第15百分位数记为0, 中位数记为0.5, 剩余值缩放在(0, 1)
金卡会员(1); 银卡会员(0.85); 普通会员(0) 金卡会员记为1, 银卡会员记为0.85, 普通会员记为0
完全隶属成员=85 th百分位数;
完全不隶属=15 th百分位数;
将第85百分位数记为1, 第15百分位数记为0, 中位数记为0.5, 剩余值缩放在(0, 1)
前因变量 充分性一致率(Consistency) 必要性覆盖率(Coverage)
高程度知识贡献 低程度知识贡献 高程度知识贡献 低程度知识贡献
圈主身份(CI) 0.784514 0.424522 0.745645 0.548245
~CI 0.256415 0.687955 0.561474 0.721546
在线时长(OT) 0.756464 0.456454 0.256446 0.853265
~OT 0.461654 0.687916 0.156546 0.925461
圈币(CC) 0.665461 0.516549 0.465461 0.851665
~CC 0.456166 0.687941 0.465478 0.912654
会员身份(MS) 0.718447 0.316546 0.966461 0.894645
~MS 0.665135 0.956561 0.365461 0.894651
条件变量 高程度知识贡献
Ha1 Ha2 Hb
圈主身份(CI) ?
在线时长(OT) ?
Raw Coverage 0.476165 0.541144 0.316544
Unique Coverage 0.032474 0.057971 0.098971
Consistency 0.826546 0.846654 0.847815
Overall Solution Coverage 0.787453
Overall Solution Consistency 0.812454
前因变量 高程度知识贡献
La1 La2 Lb
圈主身份(CI) ? ?
在线时长(OT) ?
会员身份(MS) ?
Raw Coverage 0.365454 0.451354 0.456131
Unique Coverage 0.056461 0.071323 0.061321
Consistency 0.815465 0.826547 0.844578
Overall Solution Coverage 0.711354
Overall Solution Consistency 0.824657
[1] Shao B, Shi L, Xu B , et al. Factors Affecting Participation of Solvers in Crowdsourcing: An Empirical Study from China[J]. Electronic Markets, 2012,22(2):73-82.
doi: 10.1007/s12525-012-0093-3
[2] 夏恩君, 赵轩维 . 网络众包参与者行为的影响因素研究——基于小米网络众包社区的实证研究[J]. 研究与发展管理, 2017,29(1):10-21.
[2] ( Xia Enjun, Zhao Xuanwei . Research on the Factors Affecting Participation Behavior in Crowdsourcing System——Based on Xiaomi Crowdsourcing Network Community[J]. R&D Management, 2017,29(1):10-21.)
[3] Bilgihan A, Barreda A, Okumus F , et al. Consumer Perception of Knowledge-Sharing in Travel-Related Online Social Networks[J]. Tourism Management, 2016,52:287-296.
doi: 10.1016/j.tourman.2015.07.002
[4] Davenport T H, Prusak L. Working Knowledge: How Organizations Manage What They Know[M]. Harvard Business Press, 1998.
[5] Alali H, Salim J . Virtual Communities of Practice Success Model to Support Knowledge Sharing Behaviour in Healthcare Sector[J]. Procedia Technology, 2013,11:176-183.
doi: 10.1016/j.protcy.2013.12.178
[6] Frey K, Lüthje C, Haag S . Whom Should Firms Attract to Open Innovation Platforms? The Role of Knowledge Diversity and Motivation[J]. Long Range Planning, 2011,44(5-6):397-420.
doi: 10.1016/j.lrp.2011.09.006
[7] 曹树金, 王志红 . 虚拟社区知识共享意愿与行为的影响因素及其调节变量: 元分析研究[J]. 图书情报工作, 2018,62(8):74-83.
[7] ( Cao Shujin, Wang Zhihong . A Meta-analysis Research on Antecedents and Their Moderating Factors of Knowledge Sharing Intentions and Behavior in Online Communities[J]. Library and Information Service, 2018,62(8):74-83.)
[8] Hsu C L, Lin J C C . Acceptance of Blog Usage: The Roles of Technology Acceptance, Social Influence and Knowledge Sharing Motivation[J]. Information & Management, 2008,45(1):65-74.
doi: 10.1038/s41386-019-0589-z pmid: 31841296
[9] Chang H H, Chuang S S . Social Capital and Individual Motivations on Knowledge Sharing: Participant Involvement as a Moderator[J]. Information & Management, 2011,48(1):9-18.
doi: 10.1038/s41386-019-0589-z pmid: 31841296
[10] Kankanhalli A, Tan B C, Wei K K . Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation[J]. MIS Quarterly, 2005,29(1):113-143.
doi: 10.2307/25148670
[11] Ardichvili A, Page V, Wentling T . Motivation and Barriers to Participation in Virtual Knowledge-Sharing Communities of Practice[J]. Journal of Knowledge Management, 2003,7(1):64-77.
doi: 10.1108/13673270310463626
[12] Butler B, Sproull L, Kiesler S , et al. Community Effort in Online Groups: Who Does the Work and Why[J]. Leadership at a Distance: Research in Technologically Supported Work, 2002,1:171-194.
[13] Zheng H, Li D, Hou W. Task Design , Motivation, and Participation in Crowdsourcing Contests[J]. International Journal of Electronic Commerce, 2011,15(4):57-88.
doi: 10.2753/JEC1086-4415150402
[14] Zhao Y, Zhu Q . Effects of Extrinsic and Intrinsic Motivation on Participation in Crowdsourcing Contest: A Perspective of Self-Determination Theory[J]. Online Information Review, 2014,38(7):896-917.
doi: 10.1108/OIR-08-2014-0188
[15] Martinez M G . Solver Engagement in Knowledge Sharing in Crowdsourcing Communities: Exploring the Link to Creativity[J]. Research Policy, 2015,44(8):1419-1430.
doi: 10.1016/j.respol.2015.05.010
[16] Liang H, Wang M M, Wang J J , et al. How Intrinsic Motivation and Extrinsic Incentives Affect Task Effort in Crowdsourcing Contests: A Mediated Moderation Model[J]. Computers in Human Behavior, 2018,81:168-176.
doi: 10.1016/j.chb.2017.11.040
[17] Bandura A . Social Cognitive Theory: An Agentic Perspective[J]. Annual Review of Psychology, 2001,52(1):1-26.
doi: 10.1187/cbe.18-10-0219 pmid: 31008673
[18] Koh J, Kim Y G . Knowledge Sharing in Virtual Communities: An E-Business Perspective[J]. Expert Systems with Applications, 2004,26(2):155-166.
doi: 10.1016/S0957-4174(03)00116-7
[19] Venkatesh V, Davis F D . A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies[J]. Management Science, 2000,46(2):186-204.
doi: 10.1287/mnsc.
[20] Lin F, Lin S, Huang T . Knowledge Sharing and Creation in a Teachers’ Professional Virtual Community[J]. Computers & Education, 2008,50(3):742-756.
doi: 10.3791/60425 pmid: 31840663
[21] 严贝妮, 叶宗勇 . 环境因素对虚拟社区用户知识共享行为的作用机制研究[J]. 情报理论与实践, 2017,40(10):74-79.
[21] ( Yan Beini, Ye Zongyong . Research on the Influencing Mechanism of Environmental Factors on User Knowledge Sharing Behavior in Virtual Communities[J]. Information Studies: Theory & Application, 2017,40(10):74-79.)
[22] 杜运周, 贾良定 . 组态视角与定性比较分析(QCA): 管理学研究的一条新道路[J]. 管理世界, 2017(6):155-167.
[22] ( Du Yunzhou, Jia Liangding . Configuration Perspective and Qualitative Comparative Analysis(QCA): A New Road to Management Research[J]. Management World, 2017(6):155-167.)
[23] Jiang D, Fischer M, Huang Z , et al. Identifying Drivers of China’s Provincial Wastewater Reuse Outcomes Using Qualitative Comparative Analysis[J]. Journal of Industrial Ecology, 2018,22(2):369-376.
doi: 10.1111/jiec.2018.22.issue-2
[24] Elbaz A M, Haddoud M Y, Shehawy Y M . Nepotism, Employees’ Competencies and Firm Performance in the Tourism Sector: A Dual Multivariate and Qualitative Comparative Analysis Approach[J]. Tourism Management, 2018,67:3-16.
doi: 10.1016/j.tourman.2018.01.002
[25] 程聪, 钟慧慧, 郭元源 , 等. 企业线上/线下创新协同机制研究——网络协同与资源配置的视角[J]. 科学学研究, 2018,36(4):723-731.
[25] ( Cheng Cong, Zhong Huihui, Guo Yuanyuan , et al. Research on the Driving Pattern of Firm’s Online/Offline Innovation Collaboration: Based on Networking Synergy and Resource Allocation[J]. Studies in Science of Science, 2018,36(4):723-731.)
[26] 池毛毛, 赵晶, 李延晖 , 等. 企业平台双元性的实现构型研究: 一项模糊集的定性比较分析[J]. 南开管理评论, 2017,20(3):65-76.
[26] ( Chi Maomao, Zhao Jing, Li Yanhui , et al. The Achievement Mechanisms of the Platform Ambidexterity: A Fuzzy-set Qualitative Comparative Analysis[J]. Nankai Business Review, 2017,20(3):65-76.)
[27] Hsu M H, Ju T L, Yen C H , et al. Knowledge Sharing Behavior in Virtual Communities: The Relationship Between Trust, Self-Efficacy, and Outcome Expectations[J]. International Journal of Human-Computer Studies, 2007,65(2):153-169.
doi: 10.1016/j.ijhcs.2006.09.003
[28] 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
[29] Constant D, Kiesler S, Sproull L . What’s Mine is Ours, or is It? A Study of Attitudes About Information Sharing[J]. Information Systems Research, 1994,5(4):400-421.
doi: 10.1287/isre.5.4.400
[30] Blohm I, Bretschneider U, Leimeister J M , et al. Does Collaboration Among Participants Lead to Better Ideas in IT-based Idea Competitions? An Empirical Investigation[J]. International Journal of Networking and Virtual Organisations, 2011,9(2):106-122.
doi: 10.1504/IJNVO.2011.042413
[31] Liu H, Li G . To Gain or not to Lose? The Effect of Monetary Reward on Motivation and Knowledge Contribution[J]. Journal of Knowledge Management, 2017,21(2):397-415.
doi: 10.1055/a-1033-7769 pmid: 31842239
[32] 曾萍, 蓝海林, 谢洪明 . 企业知识分享影响因素模型及对策研究[J]. 商业研究, 2006(4):24-27.
[32] ( Zeng Ping, Lan Hailin, Xie Hongming . Research on Influencing Factors Model and Countermeasures of Enterprise Knowledge Sharing[J]. Commercial Research, 2006(4):24-27.)
[33] 相鹏, 耿柳娜, 徐富明 , 等. 沉没成本效应的产生根源与影响因素[J]. 心理科学, 2017,40(6):1471-1476.
[33] ( Xiang Peng, Geng Liuna, Xu Fuming , et al. Sunk Cost Effect: Underlying Mechanisms and Influencing Factors[J]. Journal of Psychological Science, 2017,40(6):1471-1476.)
[34] Arkes H R, Blumer C . The Psychology of Sunk Cost[J]. Organizational Behavior and Human Decision Processes, 1985,35(1):124-140.
doi: 10.3758/s13420-019-00375-8 pmid: 30788729
[35] Tykocinski O E, Ortmann A . The Lingering Effects of Our Past Experiences: The Sunk-Cost Fallacy and the Inaction-Inertia Effect[J]. Social and Personality Psychology Compass, 2011,5(9):653-664.
doi: 10.1111/spco.2011.5.issue-9
[36] 赵鹏 . 学术博客用户知识共享意愿的影响因素研究——以科学网博客为例[J]. 情报杂志, 2014,33(11):163-168.
[36] ( Zhao Peng . Influencing Factors of User Knowledge Sharing Intention in Academic Blog Community: A Case Study of Science Blog[J]. Journal of Intelligence, 2014,33(11):163-168.)
[37] 胡昌平, 万莉 . 虚拟知识社区用户关系及其对知识共享行为的影响[J]. 情报理论与实践, 2015,38(6):71-76.
[37] ( Hu Changping, Wan Li . User Relationship in Virtual Knowledge Community and Its Impact on Knowledge Sharing Behavior[J]. Information Studies: Theory & Application, 2015,38(6):71-76.)
[38] 王忠义, 张鹤铭, 黄京 , 等. 基于社会网络分析的网络问答社区知识传播研究[J]. 数据分析与知识发现, 2018,2(11):80-94.
[38] ( Wang Zhongyi, Zhang Heming, Huang Jing , et al. Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis[J]. Data Analysis and Knowledge Discovery, 2018,2(11):80-94.)
[1] Gao Yuan,Shi Yuanlei,Zhang Lei,Cao Tianyi,Feng Jun. Reconstructing Tour Routes Based on Travel Notes[J]. 数据分析与知识发现, 2020, 4(2/3): 165-172.
[2] Yuxin Peng,Zhaohua Deng,Jiang Wu. Analysis of Knowledge Sharing Behavior of Medical Professional Users in Online Health Communities Based on Social Capital and Motivation Theory[J]. 数据分析与知识发现, 2019, 3(4): 63-70.
[3] Gao Haiyan, Dou Yongxiang, Qi Yilan. A Research of Knowledge Sharing Community Discovery Based on Interaction History Between Peers in P2P Networks[J]. 现代图书情报技术, 2013, 29(9): 93-98.
[4] Shi Liping, Yuan Jingting, Tang Shulin, Liu Qiang. Role Mechanism of Internal Control Mechanism and Shared Mental Model on Knowledge Sharing: The Perspectives of Extending Knowledge Sharing Achievement Paths[J]. 现代图书情报技术, 2013, 29(11): 40-45.
[5] Chen Zhenbiao,Wang Lingyan,Zhao Xuyao,Zhang Wende. Application of Knowledge-sharing Based on Wikipedia
——Take the Academic Topics of Graduate Education as an Example  
[J]. 现代图书情报技术, 2009, 25(11): 93-97.
[6] Lei Xue,Jiao Yuying,Lu Quan,Cheng Quan. Investigation on Knowledge Sharing Behavior of Wiki Community Based on the Social Cognitive Theory[J]. 现代图书情报技术, 2008, 24(2): 30-34.
[7] Wu Yuefang. The Security Configuration Maintenance and Rapid Recovery of Windows 98 Used in Library[J]. 现代图书情报技术, 2004, 20(7): 86-89.
[8] Li Jing,Qian Ping,Su Xiaolu. Building Knowledge Portals Based on Ontology[J]. 现代图书情报技术, 2004, 20(2): 18-21.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938