Supply Networks as a Complex Adaptive System: Toward Simulation-Based Theory Building on Evolutionary Decision Making

被引:97
作者
Nair, Anand [1 ]
Narasimhan, Ram [2 ]
Choi, Thomas Y. [3 ]
机构
[1] Univ S Carolina, Moore Sch Business, Dept Management Sci, Columbia, SC 29208 USA
[2] Michigan State Univ, Eli Broad Coll Business, Dept Mkt & Supply Chain Management, E Lansing, MI 48824 USA
[3] Arizona State Univ, WP Carey Sch Business, Dept Supply Chain Management, Tempe, AZ 85287 USA
关键词
Cellular Automata; Complex Adaptive Systems; Complexity Theory; Supply Networks; and Theory Building; DYNAMICS; ANTECEDENTS; PERFORMANCE; RECIPROCITY; GOVERNANCE; EMERGENCE; INSIGHTS; COMPANY; MODEL; POWER;
D O I
10.1111/j.1540-5915.2009.00251.x
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this article, we examine how the firms embedded in supply networks engage in decision making over time. The supply networks as a complex adaptive system are simulated using cellular automata (CA) through a dynamic evolution of cooperation (i.e., "voice" decision) and defection (i.e., "exit" decision) among supply network agents (i.e., firms). Simple local rules of interaction among firms generate complex patterns of cooperation and defection decisions in the supply network. The incentive schemes underlying decision making are derived through different configurations of the payoff-matrix based on the game theory argument. The prisoner's dilemma game allows capturing the localized decision-making process by rational agents, and the CA model allows the self-organizing outcome to emerge. By observing the evolution of decision making by cooperating and defecting agents, we offer testable propositions regarding relationship development and distributed nature of governance mechanisms for managing supply networks.
引用
收藏
页码:783 / 815
页数:33
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