A Team-Formation Algorithm for Faultline Minimization
A Team-Formation Algorithm for Faultline Minimization
复制标题
DOI：
10.1016/j.eswa.2018.10.046
复制
发表时间：
2018-11
期刊：
影响因子：
--
通讯作者：
Sanaz Bahargam;Behzad Golshan;Theodoros Lappas;Evimaria Terzi
中科院分区：
文献类型：
--
作者：
Sanaz Bahargam;Behzad Golshan;Theodoros Lappas;Evimaria Terzi
近年来，在线简历的激增以及对现场和虚拟团队的大量候选人进行评估的需求，导致了人们对自动化团队组建的兴趣日益浓厚。如果有大量的候选人，一般的问题需要选择一个专家团队来完成给定的任务。令人惊讶的是，虽然正在进行的研究已经研究了许多不同的约束条件的变化，它忽略了一个因素，有充分的文件证明对团队凝聚力和绩效的影响：团队断层线。解决这一差距是具有挑战性的，因为现有团队中的故障线可用措施无法有效地应用于故障线优化。在这项工作中，我们迎接这一挑战，一个新的措施，可以有效地用于故障线测量和最小化。然后，我们使用的措施，以解决自动划分成低故障线团队的大人口的问题。通过将断层线引入团队形成文献，我们的工作为断层线优化的算法工作以及结合和研究断层线与其他有影响力的团队特征的连接的工作创造了令人兴奋的机会。
In recent years, the proliferation of online resumes and the need to evaluate large populations of candidates for on-site and virtual teams have led to a growing interest in automated team-formation. Given a large pool of candidates, the general problem requires the selection of a team of experts to complete a given task. Surprisingly, while ongoing research has studied numerous variations with different constraints, it has overlooked a factor with a well-documented impact on team cohesion and performance: team faultlines. Addressing this gap is challenging, as the available measures for faultlines in existing teams cannot be efficiently applied to faultline optimization. In this work, we meet this challenge with a new measure that can be efficiently used for both faultline measurement and minimization. We then use the measure to solve the problem of automatically partitioning a large population into low-faultline teams. By introducing faultlines to the team-formation literature, our work creates exciting opportunities for algorithmic work on faultline optimization, as well as on work that combines and studies the connection of faultlines with other influential team characteristics.