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The Stability of Self-Organized Rule-Following Work Teams

Author

Listed:
  • Crayton C. Walker

    (University of Connecticut)

  • Kevin J. Dooley

    (University of Connecticut)

Abstract

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. We operationalize the notion of stability of the team&2018;s work routine and determine stability under small perturbations for all possible rules these teams can follow. To study the organizational concomitants of stability, we characterize the rules by their memory, fluency, homogeneity, and autonomy. We relate these measures to work routine stability, and find that stability in ten member teams is enhanced by rules that have low memory, high homogeneity, and low autonomy.

Suggested Citation

  • Crayton C. Walker & Kevin J. Dooley, 1999. "The Stability of Self-Organized Rule-Following Work Teams," Computational and Mathematical Organization Theory, Springer, vol. 5(1), pages 5-30, May.
    • Handle: RePEc:spr:comaot:v:5:y:1999:i:1:d:10.1023_a:1009689326098
    DOI: 10.1023/A:1009689326098
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    Cited by:

    1. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    2. Fosco, C. & Mengel, F., 2008. "Incentives and informal networks," Research Memorandum 022, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

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