【讲座通知】| Task Division for Team Success in Crowdsourcing Contests: Resource Allocation and Alignment Effects

讲座题目：Task Division for Team Success in Crowdsourcing Contests: Resource Allocation and Alignment Effects

报告人：Prof. Jie Zhang (The University of Texas at Arlington)

开云手机在线登陆入口-开云(中国)：6月23日（周二）9:00

地点：25楼A区ClassB

报告主要内容：

Advances in information technology bring changes to the nature of work by facilitating companies to go beyond the wisdom of their workforce and tap into the “wisdom of the crowd” via online crowdsourcing contests. In these contests, active and motivated individuals collaborate in the form of selforganized teams that compete for rewards. Using a rich data set of 732 teams in 52 contests collected from the crowdsourcing platform, Kaggle.com, from its launch in April 2010 to July 2012, we studied how the allocation of members’ social and intellectual capital within a virtual team affects team performance in online crowdsourcing contests. Our econometric analysis uses a rank-ordered logistic regression model, and suggests that the effect of a member’s social and intellectual capital on team performance varies depending on his or her roles. Though a team leader’s social capital and a team expert’s intellectual capital significantly influence team performance, a team leader’s intellectual capital and a team expert’s social capital do not. Further, we found that the alignment of a member’s social and intellectual capital within a team has a significant influence on team performance. Moreover, the intensity of the competition moderates the impact. When a contest is highly competitive, the social and intellectual capital alignment negatively affects team performance, and when the competitive intensity is low, this alignment positively affects team performance. Our findings provide insights for improving performance in team-based competitions in crowdsourcing communities.