The Nonlinear Impact of Task Rewards and Duration on Solvers’ Participation Behavior: A Study on Online Crowdsourcing Platform

众包 竞赛 任务(项目管理) 持续时间(音乐) 计算机科学 过程(计算) 知识管理 数据科学 万维网 政治学 管理 经济 操作系统 文学类 艺术 法学
作者
Keng Yang,Hanying Qi
出处
期刊:Journal of Theoretical and Applied Electronic Commerce Research [Multidisciplinary Digital Publishing Institute]
卷期号:16 (4): 709-726 被引量:8
标识
DOI:10.3390/jtaer16040041
摘要

Crowdsourcing has attracted significant attention in the past decade because it has more competitive advantages than traditional methods for mobilizing distributed labor and utilizing innovation. Crowdsourcing contests are one of the most popular and effective crowdsourcing modes. Reasonable task rewards and duration are the key factors for seekers to attract solvers who can efficiently participate in the crowdsourcing contest task. Previous studies have mainly focused on task results to analyze solvers’ participation behavior in crowdsourcing contests, but have paid little attention to the task process, and there have been conflicting conclusions regarding the impact of task rewards and duration on solvers’ participation behavior and the performance of crowdsourcing contests. In view of this gap, this study collected 2706 logo design task data points from 2015–2017 on an online crowdsourcing platform and measured the performance of solvers’ participation behavior in two stages. The participation time was used to represent the performance of solvers’ participation behavior in the task process, while the number of submissions of solutions was used to represent the performance of participation behavior in the task result. The results show that task rewards and duration have an inverted U-shaped effect on the number of submissions, money rewards have a positive impact on participation time, and duration has an inverted U-shaped relationship with participation time. This study proposes the nonlinear effects of task rewards and duration on participation behavior and explains the reason for the conflicting results of previous studies. This paper also expands upon existing research by using solvers’ participation time in the task process to measure the performance of solvers’ participation behavior.

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