Research on User's Honest-trading Mechanism under Crowdsourcing Platform

Abstract

Abstract: Integrity mechanism is not only an important factor to ensure the participation of users of crowdsourcing platform, but also an indispensable guarantee for the sustainable development of the platform. This paper selects the network crowdsourcing platform as the research object and constructs a honest-trading game model, to compare the changes in user transaction decisions in the presence and absence of crowdsourcing platform supervision and third-party agent authentication; according to the analysis results, honest-trading mechanisms based on crowdsourcing platform supervision are designed (paying trading margins and penalizing fraud). Finally, the effectiveness of the honest-trading mechanism is proved by numerical simulation, and management suggestions for constructing the honest-trading mechanism are proposed from the perspective of crowdsourcing platform.

Key words: crowdsourcing platform, honest-trading mechanism, game theory, credit index, fraudulent transaction

Le Chengyi, Li Peipei, Zeng Ya, Song Zhanzhao. Research on User's Honest-trading Mechanism under Crowdsourcing Platform[J]. Management Review, 2021, 33(2): 187-194.

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