当前位置: X-MOL 学术Behav. Inf. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Collaboration in crowdsourcing contests: how different levels of collaboration affect team performance
Behaviour & Information Technology ( IF 2.9 ) Pub Date : 2021-02-22 , DOI: 10.1080/0144929x.2021.1887354
Hanieh Javadi Khasraghi 1 , Rudy Hirschheim 2
Affiliation  

ABSTRACT

With the advances in internet technologies and the emergence of crowdsourcing, organisations are now increasingly looking outside their boundaries for solving problems. Yet, the success of crowdsourcing depends on high-quality participation of crowdsourcing individuals and teams. In recent studies, examining the effect of simultaneous collaboration and competition mechanisms on individual and team performance in crowdsourcing has received considerable attention. But, none of these studies examined how different levels of collaboration affect team performance in crowdsourcing contests. In this paper, using a rich data set from a crowdsourcing platform, Kaggle.com, we study how team discussion-forum performance and solution-sharing performance affect its performance in online crowdsourcing contests. Our results suggest that team’s discussion-forum performance and solution-sharing performance have significant effect on its competition performance. Our findings offer valuable theoretical and managerial implications for researchers and crowdsourcing sponsors who want to improve teams’ performance in crowdsourcing contests.



中文翻译:

众包竞赛中的协作:不同级别的协作如何影响团队绩效

摘要

随着互联网技术的进步和众包的出现,组织现在越来越多地寻求超越边界来解决问题。然而,众包的成功取决于众包个人和团队的高质量参与。在最近的研究中,研究同时协作和竞争机制对众包中个人和团队绩效的影响受到了相当大的关注。但是,这些研究都没有研究不同级别的协作如何影响众包竞赛中的团队绩效。在本文中,我们使用来自众包平台 Kaggle.com 的丰富数据集,研究团队讨论论坛表现和解决方案共享表现如何影响其在在线众包竞赛中的表现。我们的研究结果表明,团队的论坛表现和解决方案分享表现对其竞争表现有显着影响。我们的研究结果为希望提高团队在众包竞赛中的表现的研究人员和众包赞助商提供了宝贵的理论和管理启示。

更新日期:2021-02-22
down
wechat
bug