Study on the Influencing Factors of Task Performance of Crowdsourcing Platform Based on Contracting Method

Abstract

Abstract:

Through online trading of professional services, crowdsourcing platforms can provide cost-effective and diversified solutions for the seekers. For crowdsourcing platform operators, it is of great practical significance to attract more innovators to be the solver, thus maximizing the performance of crowdsourcing task. Using transaction data collected from a crowdsourcing platform "EpWeike.com", this study empirically examines the factors that influence the task performance which is indicated by the number of solvers. Results show that award, follow and time have significant positive effects on the task performance; difficulty has a significant negative effect on the task performance; mode moderates the relationships between difficulty, award and the task performance. That is to say, in different contrac-ting modes, award and difficulty have distinct influences on the size of solver group. Award has a significant effect on the task perform-ance in single-mode reward and piecework task mode, but not significant in bidding task mode. This study aims at providing theoretical support for enterprises to make decisions on the crowdsourcing, and to tell the differences between different trading mechanisms and opti-mize platform rules targetedly, thus improving platform operating performance.

Key words: crowdsourcing platform, witkey, solver, task performance, contracting method

Zong Liyong, Li Yuanxu. Study on the Influencing Factors of Task Performance of Crowdsourcing Platform Based on Contracting Method[J]. , 2018, 30(2): 107-116.

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