Supply networks and complex adaptive systems: control versus emergence

被引:984
作者
Choi, TY
Dooley, KJ
Rungtusanatham, M
机构
[1] Arizona State Univ, Dept Management & Supply Chain Management, Tempe, AZ 85287 USA
[2] Arizona State Univ, Dept Management & Ind Engn, Tempe, AZ 85287 USA
[3] Arizona State Univ, Dept Management, Tempe, AZ 85287 USA
关键词
interdisciplinary; operations strategy; purchasing/operations interface; supplier management; supply network; complexity theory; chaos theory;
D O I
10.1016/S0272-6963(00)00068-1
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In much of the current literature on supply chain management, supply networks are recognized as a system. In this paper, we take this observation to the next level by arguing the need to recognize supply networks as a complex adaptive system (CAS). We propose that many supply networks emerge rather than result from purposeful design by a singular entity. Most supply chain management literature emphasizes negative feedback for purposes of control, however, the emergent patterns in a supply network can much better be managed through positive feedback, which allows for autonomous action. Imposing too much control detracts from innovation and flexibility; conversely, allowing too much emergence can undermine managerial predictability and work routines. Therefore, when managing supply networks, managers must appropriately balance how much to control and how much to let emerge. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:351 / 366
页数:16
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