Nowadays many companies leverage crowdsourcing to solve problems in order to reduce cost. The quality of the solution submitted by the participant is especially important for the company, so how to improve participation performance has become an essential research topic. From the perspective of task design, this paper proposes a theoretical model based on the job characteristics model to explore how task complexity and outcome variety affect participation performance through influencing self-efficacy and task meaningfulness. We will collect data through an online experiment to validate our proposed research model in the context of a crowdsourced translation task. Participation performance will be measured with subjective questionnaire and objective translation grades. Findings of this research will have theoretical implications and provide practical guidelines for crowdsourcing projects.
Bao, Mengxuan; Tang, Jian; and Ma, Yanlin, "Investigating the Influence of Task Complexity and Outcome Variety on User Performance in Crowdsourcing Projects" (2019). WHICEB 2019 Proceedings. 51.