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Degree:博士
School/Department:College of Economics and Management

YanfengCHU

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Gender:Female

Education Level:南京航空航天大学

Alma Mater:南京航空航天大学

Paper Publications

Study on the Incentive Mechanism of Crowdsourcing Considering Participator's Fairness Preference
Date of Publication:2017-01-01 Hits:

Affiliation of Author(s):经济与管理学院
Journal:PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS)
Key Words:Crowdsourcing share coefficient principal-agent theory fairness preference
Abstract:The traditional principal-agent model is based purely on the self-interest of the agent. In this paper, the fairness preference is incorporated into the model, and the Crowd-sourcing sponsors and the task participants are analyzed as a system. The fairness preference of task participants is considered to analyze the effect of fairness preference on benefit distribution. The study shows that the share coefficient and the fairness preference factor of the participants in the fixed-payers task are affected, and increasing the transparency of the information can increase the effort degree of the task participants and increase the profit of the enterprise.
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Cao, Huijuan
Correspondence Author:YanfengCHU
Date of Publication:2017-01-01