IDEAS home Printed from https://ideas.repec.org/a/cup/apsrev/v74y1980i02p342-353_16.html
   My bibliography  Save this article

Explaining the Variable Utility of Disjointed Incrementalism: Four Propositions

Author

Listed:
  • Lustick, Ian

Abstract

Much of mainstream organization theory has been concerned with the implications for organizational design and policy process of high levels of uncertainty or complexity in task environments. Decentralization, disjointed incrementalist decision strategies, and quasi-market coordinative mechanisms have been advanced as rational responses to the complexity of most problems in the socio-political sphere. This article presents and illustrates four conditions which reduce the relative utility of this approach as a means of coping with uncertainty. The propositions are shown to be implicit in the logic of “muddling through,†and are used to help explain/predict the evolution of relatively centralized and planned organizations in certain types of complex task environments.

Suggested Citation

  • Lustick, Ian, 1980. "Explaining the Variable Utility of Disjointed Incrementalism: Four Propositions," American Political Science Review, Cambridge University Press, vol. 74(2), pages 342-353, June.
  • Handle: RePEc:cup:apsrev:v:74:y:1980:i:02:p:342-353_16
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0003055400166742/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaecheol Kim & Hyun-Young Jin, 2023. "Interpreting Tactical Urbanism through Innovation–Diffusion Theory: Insights from a Collaborative Design Studio Experience," Land, MDPI, vol. 13(1), pages 1-19, December.
    2. I. A. Antipin & N. Yu. Vlasova, 2020. "Incremental approach to regional strategising: Theory, methodology, practices," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 73-90, October.
    3. Sai Yayavaram & Sasanka Sekhar Chanda, 2023. "Decision making under high complexity: a computational model for the science of muddling through," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 300-335, June.
    4. Elizabeth A Kirk & Alison D Reeves & Kirsty L Blackstock, 2007. "Path Dependency and the Implementation of Environmental Regulation," Environment and Planning C, , vol. 25(2), pages 250-268, April.
    5. Bettis-Outland, Harriette, 2012. "Decision-making's impact on organizational learning and information overload," Journal of Business Research, Elsevier, vol. 65(6), pages 814-820.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:apsrev:v:74:y:1980:i:02:p:342-353_16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/psr .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.