机构:
Univ Texas Rio Grande Valley, Dept Informat Syst, Edinburg, TX 78539 USAUniv Delaware, Dept Accounting & Management Informat Syst, Delaware, OH USA
Wang, Xuan
[2
]
Sun, Jun
论文数: 0引用数: 0
h-index: 0
机构:
Univ Texas Rio Grande Valley, Coll Business & Entrepreneurship, Edinburg, TX USAUniv Delaware, Dept Accounting & Management Informat Syst, Delaware, OH USA
Purpose To obtain optimal deliverables, more and more crowdsourcing platforms allow contest teams to submit tentative solutions and update scores/rankings on public leaderboards. Such feedback-seeking behavior for progress benchmarking pertains to the team representation activity of boundary spanning. The literature on virtual team performance primarily focuses on team characteristics, among which network closure is generally considered a positive factor. This study further examines how boundary spanning helps mitigate the negative impact of network closure. Design/methodology/approach This study collected data of 9,793 teams in 246 contests from Kaggle.com. Negative binomial regression modeling and linear regression modeling are employed to investigate the relationships among network closure, boundary spanning and team performance in crowdsourcing contests. Findings Whereas network closure turns out to be a negative asset for virtual teams to seek platform feedback, boundary spanning mitigates its impact on team performance. On top of such a partial mediation, boundary spanning experience and previous contest performance serve as potential moderators. Practical implications The findings offer helpful implications for researchers and practitioners on how to break network closure and encourage boundary spanning with the establishment of facilitating structures in crowdsourcing contests. Originality/value The study advances the understanding of theoretical relationships among network closure, boundary spanning and team performance in crowdsourcing contests.