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The Tangled Nature Model for organizational ecology

Author

Listed:
  • Rudy Arthur

    (University of Southern Denmark)

  • Arwen Nicholson

    (University of Southern Denmark)

  • Paolo Sibani

    (University of Southern Denmark)

  • Michael Christensen

    (University of Southern Denmark)

Abstract

The Tangled Nature Model—a biologically inspired model of evolutionary ecology—is described, simulated, and analyzed to show its applicability in organization science and organizational ecology. It serves as a conceptual framework for understanding the dynamics in populations of organizations. A salient dynamical feature of this model is the spontaneous generation of a symbiotic group of core organizations. This core, consisting of several dominating species, introduces a mesoscopic level between that of the individual and the whole system. Despite prolonged periods of stability, this core is disrupted at random by parasitic interactions causing sudden core rearrangements. The size distribution of the core organizations is log-normal as predicted by theory and supported by empirical findings. As a simple application of the model, we study the adaptation of organizations to changes in resource availability in terms of population size, population diversity, and ecological efficiency. We find evidence that a temporary reduction in resources forces a consolidation resulting in a sustained increase in overall efficiency, suggesting that such reductions can be applied strategically to drive incremental improvements.

Suggested Citation

  • Rudy Arthur & Arwen Nicholson & Paolo Sibani & Michael Christensen, 2017. "The Tangled Nature Model for organizational ecology," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 1-31, March.
    • Handle: RePEc:spr:comaot:v:23:y:2017:i:1:d:10.1007_s10588-016-9214-4
    DOI: 10.1007/s10588-016-9214-4
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    References listed on IDEAS

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    Cited by:

    1. Xuefeng Liu & Hanzhi Yu & Guowei Lai & Shuxiao Wang & Yuying Xie, 2022. "Imitation or Innovation? Research on the Path Selection of Enterprise Performance Improvement from the Perspective of Organizational Ecology," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    2. Giovanni Gavetti & Constance E. Helfat & Luigi Marengo, 2017. "Searching, Shaping, and the Quest for Superior Performance," Strategy Science, INFORMS, vol. 2(3), pages 194-209, September.
    3. Sunil K. Dixit & Murali Sambasivan, 2020. "An Integrated Multitheoretical Perspective of Public Healthcare Services Delivery Organizations," Public Organization Review, Springer, vol. 20(2), pages 319-335, June.
    4. Xia Cao & Dan Lv & Zeyu Xing, 2020. "Innovative Resources, Promotion Focus and Responsible Innovation: The Moderating Roles of Adaptive Governance," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    5. Xu, Jin & Peng, Biyu & Cornelissen, Joep, 2021. "Modelling the network economy: A population ecology perspective on network dynamics," Technovation, Elsevier, vol. 102(C).

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