Iterative problem solving in teams: insights from an agent-based simulation

IF 1.6 Q3 MANAGEMENT Team Performance Management Pub Date : 2016-03-02 DOI:10.1108/TPM-04-2015-0023
A. Martynov, Dina M. Abdelzaher
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引用次数: 3

Abstract

Purpose – This paper aims to evaluate the effect of knowledge overlap, search width and problem complexity on the quality of problem-solving in teams that use the majority rule to aggregate heterogeneous knowledge of the team members. Design/methodology/approach – The paper uses agent-based simulations to model iterative problem-solving by teams. The simulation results are analyzed using linear regressions to show the interactions among the variables in the model. Findings – We find that knowledge overlap, search width and problem complexity interact to jointly impact the optimal solution in the iterative problem-solving process of teams using majority rule decisions. Interestingly, we find that more complex problems require less knowledge overlap. Search width and knowledge overlap act as substitutes, weakening each other’s performance effects. Research limitations/implications – The results suggest that team performance in iterative problem-solving depends on interactions among knowledge overlap, search...
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团队中的迭代问题解决:来自基于代理的模拟的见解
目的-本文旨在评估知识重叠、搜索宽度和问题复杂性对团队解决问题质量的影响,这些团队使用多数决定原则来聚集团队成员的异构知识。设计/方法论/方法-本文使用基于代理的模拟来模拟团队的迭代解决问题。利用线性回归分析了模型中各变量之间的相互作用。发现-我们发现知识重叠、搜索宽度和问题复杂性相互作用,共同影响团队使用多数决决策的迭代解决问题过程中的最佳解决方案。有趣的是,我们发现更复杂的问题需要更少的知识重叠。搜索宽度和知识重叠是替代关系,相互削弱绩效效应。研究局限性/启示——结果表明,团队在迭代解决问题中的表现取决于知识重叠、搜索……
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来源期刊
CiteScore
3.40
自引率
29.40%
发文量
28
期刊介绍: This international journal contributes to the successful implementation and development of work teams and team-based organizations by providing a forum for sharing experience and learning to stimulate thought and transfer of ideas. It seeks to bridge the gap between research and practice by publishing articles where the claims are evidence-based and the conclusions have practical value. Effective teams form the heart of every successful organization. But team management is one of the hardest challenges faced by managers.
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