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

被引:79
作者
Dissanayake, Indika
Zhang, Jie [1 ]
Gu, Bin [2 ]
机构
[1] Univ Texas Arlington, Coll Business Adm, Informat Syst, Arlington, TX USA
[2] Arizona State Univ, WP Carey Sch Business, Informat Syst, Tempe, AZ 85287 USA
基金
中国国家自然科学基金;
关键词
crowdsourcing; crowdsourcing contests; econometrics; intellectual capital; social capital; social network analysis; team competition; virtual teams; INNOVATION CONTESTS; NETWORK STRUCTURE; VIRTUAL TEAMS; PERFORMANCE; CENTRALITY; DIVERSITY; COMMUNICATION; LEADERS; DESIGN; IMPACT;
D O I
10.1080/07421222.2015.1068604
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 self-organized 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 into improving performance in team-based competitions in crowdsourcing communities.
引用
收藏
页码:8 / 39
页数:32
相关论文
共 63 条
[61]  
Yang Y., 2009, Proceedings of the 20th Workshop on Information Systems and Economics, P14
[62]  
Yang Y., 2010, Proceedings of the 21st Workshop on Information Systems and Economics, P11
[63]   Task Design, Motivation, and Participation in Crowdsourcing Contests [J].
Zheng, Haichao ;
Li, Dahui ;
Hou, Wenhua .
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2011, 15 (04) :57-88