健壮的分布式组织网络结构设计的建模与仿真分析

发布时间：2018-06-28 02:58

本文选题：分布式组织 + 卡夫曼网络　；参考：《管理工程学报》2017年03期

【摘要】：借助Watts的卡夫曼网络结构模型构建了分布式组织的人际交互网络结构模型,然后基于NK模型和组织学习理论给出了学习绩效的运算。通过一系列的仿真实验检查了不同网络结构下的学习绩效。我们发现半隔离的网络结构是一种最优的模式,它能给组织带来较高的学习绩效,同时我们验证了该网络结构在组织规模、学习速度、动荡环境和成员关系变化情况下具有很强的健壮性。我们发现:(1)在动荡的环境下,一定程度的离职有益于组织的学习并能带来比稳定的成员关系还高的绩效,而且半隔离的网络结构比其他结构在减弱成员离职带来的负作用要强;(2)当个体的学习速度在区间[0.5,0.7]时,学习绩效是最高的,小于0.7时,半分隔的结构都是最优的,但是在高于0.7时,组织的学习绩效独立于沟通结构;(3)动态变化环境下,半分隔的组织结构能让组织保持高的长期学习收益;(4)分布式组织的学习绩效随着规模的增大而变小,任何一种规模下,半隔离的网络结构的绩效也都是最高的。
[Abstract]:Based on Watts' Kaufman network model, the interpersonal interaction network model of distributed organization is constructed, and then the learning performance is calculated based on NK model and organizational learning theory. Through a series of simulation experiments, the learning performance under different network structure is checked. We find that the semi-isolated network structure is an optimal model, which can bring higher learning performance to the organization. At the same time, we verify the network structure in the organizational scale, learning speed, The turbulent environment and the change of the member relation have very strong robustness. We find that: (1) in the turbulent environment, a certain degree of turnover is beneficial to organizational learning and can lead to higher performance than stable membership. Moreover, the semi-isolated network structure is stronger than other structures in weakening the negative effect brought by the turnover of members. (2) when the learning speed is in the range of 0.50.70, the learning performance is the highest, and when the structure is less than 0.7, the semi-separated structure is the best. But when it is higher than 0.7, the learning performance of the organization is independent of the communication structure; (3) under the dynamic changing environment, the semi-separated organizational structure can keep the long-term learning benefit of the organization high; (4) the learning performance of the distributed organization becomes smaller with the increase of the scale. Under any scale, the performance of semi-isolated network structure is also the highest.
【作者单位】：华中科技大学管理学院;
【基金】：国家自然科学基金资助面上项目(71271093);国家自然科学基金重点资助项目(71131004)
【分类号】：C936

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