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Team problem solving and motivation under disorganization - an agent-based modeling approach

机译：杂乱无章的团队问题解决和动机-基于Agent的建模方法

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摘要

Purpose - This paper aims at simulating on how "disorganization" affects team problem solving. The prime objective is to determine how team problem solving varies between an organized and disorganized environment also considering motivational aspects. Design/methodology/approach - Using agent-based modeling, the authors use a real-world data set from 226 volunteers at five different types of non-profit organizations in Southwest England to define some attributes of the agents. The authors introduce the concepts of natural, structural and functional disorganization while operationalizing natural and functional disorganization. Findings - The simulations show that "disorganization" is more conducive for problem solving efficiency than "organization" given enough flexibility (range) to search and acquire resources. The findings further demonstrate that teams with resources above their hierarchical level (access to better quality resources) tend to perform better than teams that have only limited access to resources. Originality/value - The nuanced categories of "(dis-)organization" allow us to compare between various structural limitations, thus generating insights for improving the way managers structure teams for better problem solving.
机译：目的-本文旨在模拟“杂乱无章”如何影响团队解决问题。主要目标是确定团队问题解决在有组织和无组织的环境之间如何变化，同时还要考虑激励因素。设计/方法/方法-使用基于代理的建模，作者使用来自英格兰西南部五种不同类型的非营利组织的226名志愿者的真实数据集来定义代理的某些属性。作者介绍了自然，结构和功能混乱的概念，同时将自然和功能混乱进行了操作。发现-模拟显示，给定足够的灵活性（范围）来搜索和获取资源，“组织”比“组织”更有利于解决问题。调查结果进一步表明，资源高于其层次结构级别（可以访问质量更好的资源）的团队比只具有有限资源访问权限的团队表现更好。独创性/价值-“（无组织）组织”的细微差别类别使我们能够在各种结构性限制之间进行比较，从而产生见解，从而改善管理人员组织团队的方式以更好地解决问题。

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