TY - JOUR
T1 - Task Division for Team Success in Crowdsourcing Contests
T2 - Resource Allocation and Alignment Effects
AU - Dissanayake, Indika
AU - Zhang, Jie
AU - Gu, Bin
N1 - Funding Information:
The authors are grateful to seminar participants at the University of Texas at Arlington, University of Florida, University of Texas at Dallas, and conference participants at AMCIS 2014 (Savannah), ICIS 2014 (Auckland), and HICSS 2015 (Kauai) for excellent feedback. They also benefited greatly from discussions with Mahmut Yasar, Radha Mahapatra, Greg Frazier, and Wendy Casper. The authors especially appreciate valuable comments from the editors Rob Kauffman, Eric Clemons, Thomas Weber, and the reviewers of the Special Section. Bin Gu acknowledges the financial support of the National Natural Science Foundation of China [Grant 71328102].
Publisher Copyright:
Copyright © Taylor & Francis Group, LLC.
PY - 2015/4/3
Y1 - 2015/4/3
N2 - 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.
AB - 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.
KW - crowdsourcing
KW - crowdsourcing contests
KW - econometrics
KW - intellectual capital
KW - social capital
KW - social network analysis
KW - team competition
KW - virtual teams
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U2 - 10.1080/07421222.2015.1068604
DO - 10.1080/07421222.2015.1068604
M3 - Article
AN - SCOPUS:84940562741
SN - 0742-1222
VL - 32
SP - 8
EP - 39
JO - Journal of Management Information Systems
JF - Journal of Management Information Systems
IS - 2
ER -