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A complexity perspective on collaborative decision making in organizations: The ecology of group-performance

机译:组织中协作决策的复杂性观点:团队绩效的生态

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Networks of communication are essential when managing corporate work and performing information exchange; the systems must allow them to be dynamic and well-structured. They help provide high organizational performance and innovative capacity in today's knowledge intense corporations, and this means that organizations must manage the networks strategically. Despite the fact that practitioners are aware of the huge influence of informal communication on decision making, little is known about the underlying principles of efficient employee network collaboration, which is dynamic in nature, especially for complex environments resulting from steady innovation and high competitive pressure. We addressed this issue from a complexity perspective, using an agent based simulation to visualize the key elements of efficient, information-based, collaborative decision making. Our findings suggested that information and communication technologies (ICT) may not be able to leverage corporate performance of the increasingly complex adaptive organizations. There seem to be elementary natural constraints on the cognitive capacities of people dealing with and managing information. Rather than a better technical approach, a more ecologic one is therefore advocated as the best way to improve decision making.
机译:在管理公司工作和进行信息交换时,沟通网络至关重要。系统必须使它们具有动态性和良好的结构。它们有助于在当今知识密集的公司中提供较高的组织绩效和创新能力,这意味着组织必须从战略上管理网络。尽管从业者意识到非正式沟通对决策的巨大影响,但对于有效的员工网络协作的基本原理知之甚少,这种协作本质上是动态的,尤其是对于稳定的创新和高度的竞争压力所导致的复杂环境。我们从复杂性的角度解决了这个问题,使用基于代理的模拟来可视化高效,基于信息的协作决策的关键要素。我们的发现表明,信息和通信技术(ICT)可能无法利用日益复杂的适应性组织的公司绩效。在处理和管理信息的人们的认知能力上似乎存在基本的自然限制。因此,与其说是一种更好的技术方法,不如说是一种更加生态的方法,它是改善决策的最佳方法。

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