Study on regulation mechanism of default risk in crowdsourcing based on differential game theory

LIU Wei, DING Kaiwen, LIU Dehai

Systems Engineering - Theory & Practice ›› 2019, Vol. 39 ›› Issue (10) : 2559-2568.

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Systems Engineering - Theory & Practice ›› 2019, Vol. 39 ›› Issue (10) : 2559-2568. DOI: 10.12011/1000-6788-2018-0700-10

Study on regulation mechanism of default risk in crowdsourcing based on differential game theory

  • LIU Wei, DING Kaiwen, LIU Dehai
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Abstract

This paper focuses on the crowdsourcing system consisting of platform and participants, and constructs a model about supervising behavior of the platform and default behavior of the participants in crowdsourcing process based on differential game theory. We explore the different game strategies under independent decision-making, Stackelberg game with platform and the cooperative decision-making situations. The findings are the return of platform and participants as well as the overall return of crowdsourcing system increases from independent decision making to the Stackelberg game with platform incentive, and then to the cooperative decision-making situations. The crowdsourcing platform can reduce the participants' default risk by the incentive mechanism and affect the return rate of both parties by the regulatory mechanism, so as to select the optimal strategic behavior reasonably and achieve the Pareto improvement. In addition, we set the model parameter based on Zhubajie crowdsourcing platform as case, and do a numerical analysis to validate the theoretical model.

Key words

crowdsourcing / default risk / differential game

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LIU Wei , DING Kaiwen , LIU Dehai. Study on regulation mechanism of default risk in crowdsourcing based on differential game theory. Systems Engineering - Theory & Practice, 2019, 39(10): 2559-2568 https://doi.org/10.12011/1000-6788-2018-0700-10

References

[1] Teece D J. Profiting from technological innovation:Implications for integration, collaboration, licensing and public policy[J]. Research Policy, 2014, 15(6):285-305.
[2] Howe J. The rise of crowdsourcing[J]. Wired Magazine, 2006, 14(6):176-183.
[3] 庞建刚. 众包社区创新的风险管理机制设计[J]. 中国软科学, 2015(2):183-192.Pang J G. The risk management mechanism of crowdsourcing community innovation[J]. China Soft Science, 2015(2):183-192.
[4] Brabham D C. Crowdsourcing as a model for problem solving:An introduction and cases[J]. Convergence:The International Journal of Research into New Media Technologies, 2008, 14(1):75-90.
[5] 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 & Virtual Organisations, 2010, 9(2):106-122.
[6] Balka K, Raasch C, Herstatt C. The effect of selective openness on value creation in user innovation communities[J]. Journal of Product Innovation Management, 2013, 31(2):392-407.
[7] 涂艳, 孙宝文, 张莹. 基于社会媒体的企业众包创新接包主体行为研究[J]. 经济管理, 2015(7):138-148.Tu Y, Sun B W, Zhang Y. Research on the individual behavior of enterprise crowdsourcing innovation model based on social media[J]. Economic Management, 2015(7):138-148.
[8] Boudreau K J, Lacetera N, Lakhani K R. Incentives and problem uncertainty in innovation contests:An empirical analysis[J]. Management Science, 2011, 57(5):843-863.
[9] Hienerth C, Hippel E V, Jensen M B. User community vs. producer innovation development efficiency:A first empirical study[J]. Research Policy, 2014, 43(1):190-201.
[10] Liu T X, Yang J, Adamic L A, et al. Crowdsourcing with all-pay auctions:A field experiment on Task.cn[J]. Proceedings of the American Society for Information Science & Technology, 2011, 48(1):1-4.
[11] Lüttgens D, Pollok P, Antons D, et al. Wisdom of the crowd and capabilities of a few:Internal success factors of crowdsourcing for innovation[J]. Journal of Business Economics, 2014, 84(3):339-374.
[12] Archak N, Sundararajan A. Optimal design of crowdsourcing contests[C]//International Conference on Information Systems, ICIS 2009, Phoenix, Arizona, Usa, December, DBLP, 2009:15-16.
[13] 郝琳娜, 郑海超, 侯文华. 基于损失规避的创新竞赛参与者的行为决策研究[J]. 系统工程理论与实践, 2015, 35(11):2773-2784.Hao L N, Zheng H C, Hou W H. Behavioral decision making of participants in innovation contest with loss aversion[J]. Systems Engineering-Theory & Practice, 2015, 35(11):2773-2784.
[14] 郝琳娜, 侯文华, 郑海超. 基于众包竞赛的虚拟社区内知识共享行为[J]. 系统工程, 2016, 34(6):65-71.Hao L N, Hou W H, Zheng H C. Knowledge sharing behavior of the virtual community based on crowdsourcing contest[J]. Systems Engineering, 2016, 34(6):65-71.
[15] 郑海超, 侯文华. 网上创新竞争中解答者对发布者的信任问题研究[J]. 管理学报, 2011, 8(2):233-240.Zheng H C, Hou W H. Solvers' trust in sponsor in online innovation contests[J]. Chinese Journal of Management, 2011, 8(2):233-240.
[16] Suri S, Watts D J. Cooperation and contagion in web based, networked public goods experiments[J]. ACM Sigecom Exchanges, 2010, 10(2):3-8.
[17] Hirth M, Hoffeld T, Tran-Gia P. Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms[J]. Mathematical & Computer Modeling, 2013, 57(11-12):2918-2932.
[18] 郝琳娜, 侯文华, 张李浩, 等. 基于众包虚拟社区的诚信保障和信誉评价机制研究[J].系统工程理论与实践, 2014, 34(11):2837-2848.Hao L N, Hou W H, Zhang L H, et al. Research on integrity safeguard mechanism and reputation evaluation mechanism of crowdsourcing in the virtual community[J]. Systems Engineering-Theory & Practice, 2014, 34(11):2837-2848.
[19] Marjanovic S, Fry C, Chataway J. Crowdsourcing based business models:In search of evidence for innovation 2.0[J]. Science & Public Policy, 2012, 39(3):318-332.
[20] Siala H. Crowdsourcing project management to the ‘open’ community[J]. PM World Journal, 2013, 10(2):1-17.
[21] 马如飞, 王嘉. 动态研发竞争与合作:基于微分博弈的分析[J]. 科研管理, 2011, 32(5):36-42.Ma R F, Wang J. Dynamic R&D competition and cooperation:A differential game approach[J]. Science Research Management, 2011, 32(5):36-42.
[22] 洪江涛, 黄沛. 基于微分博弈的供应链质量协调研究[J]. 中国管理科学, 2016, 24(2):100-107.Hong J T, Huang P. Research on quality coordination in supply chain based on differential game[J]. Chinese Journal of Management Science, 2016, 24(2):100-107.
[23] 徐春秋, 赵道致, 原白云,等. 上下游联合减排与低碳宣传的微分博弈模型[J]. 管理科学学报, 2016, 19(2):53-65.Xu C Q, Zhao D Z, Yuan B Y, et al. Differential game model on joint carbon emission reduction and low-carbon promotion in supply chains[J]. Journal of Management Sciences in China, 2016, 19(2):53-65.
[24] Lukyanenko R, Parsons J, Wiersma Y F. The IQ of the crowd:Understanding and improving information quality in structured user-generated content[J]. Information Systems Research, 2014, 25(4):669-689.

Funding

Humanities and Social Sciences Research Program Foundation of Ministry of Education of China (17YJA630059); Scientific Research Foundation of Liaoning Provincial Department of Education (LN2016YB006); Scientific Research Foundation of Dongbei University of Finance & Economics (DUFE2017Y04); Foundation for Innovative Scholar of Liaoning Province (81)
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