The Stability of Self-Organized Rule-Following Work Teams

被引：5
作者：
Crayton C. Walker
Kevin J. Dooley
机构：
[1] University of Connecticut,Department of Operations and Information Management
来源：
Computational & Mathematical Organization Theory | 1999年 / 5卷 / 1期
关键词：
network models; organization theory; rule following; self organized; stability; work teams; work routine;
D O I：
10.1023/A:1009689326098
中图分类号：
学科分类号：
摘要：
Self-organized rule-following systems are increasingly relevant objects of study in organization theory due to such systems&2018; capacity to maintain control while enabling decentralization of authority. This paper proposes a network model for such systems and examines the stability of the networks&2018; repetitive behavior. The networks examined are Ashby nets, a fundamental class of binary systems: connected aggregates of nodes that individually compute an interaction rule, a binary function of their three inputs. The nodes, which we interpret as workers in a work team, have two network inputs and one self-input. All workers in a given team follow the same interaction rule.
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页码：5 / 30
页数：25
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