IDEAS home Printed from https://ideas.repec.org/a/oup/indcch/v23y2014i2p329-360..html
   My bibliography  Save this article

Collective performance: modeling the interaction of habit-based actions

Author

Listed:
  • Michael D. Cohen
  • Daniel A. Levinthal
  • Massimo Warglien

Abstract

Recurring patterns of action are essential in our efforts to explain central properties of business firms and other organizations. However, the development of systematic theory has been hampered by the difficulty of adequately specifying foundational assumptions. We address this problem by defining a concept of collective performance, which brings together a range of recurring organizational action patterns that have been studied under labels such as "routine," "practice," standard operating procedure, or "genre of action." All these forms of organizational action are based on human habit to a significant degree. We propose a conceptual framework for such habit-based organizational action patterns. The framework is a set of core principles and desirable model properties that can serve as a guide in the development of formal models of collective performance. It provides micro-foundations for the modeling of collective performance that are aligned with contemporary developments in psychology. Finally, we present a series of examples, developed in Supplementary Materials, that shows how our framework leads to new classes of formal models that can aid the analysis of collective performance.

Suggested Citation

  • Michael D. Cohen & Daniel A. Levinthal & Massimo Warglien, 2014. "Collective performance: modeling the interaction of habit-based actions," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 23(2), pages 329-360.
  • Handle: RePEc:oup:indcch:v:23:y:2014:i:2:p:329-360.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/icc/dtu005
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Anna Pereverzieva, 2019. "A Methodical Approach to the Assessment of Human Resources` Interactions," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 15(1), pages 171-204.
    2. Dehua Gao & Aliakbar Akbaritabar, 2022. "Using agent-based modeling in routine dynamics research: a quantitative and content analysis of literature," Review of Managerial Science, Springer, vol. 16(2), pages 521-550, February.
    3. Vikas A. Aggarwal & Hart E. Posen & Maciej Workiewicz, 2017. "Adaptive capacity to technological change: A microfoundational approach," Strategic Management Journal, Wiley Blackwell, vol. 38(6), pages 1212-1231, June.
    4. Rouslan Koumakhov & Adel Daoud, 2017. "Routine and reflexivity: Simonian cognitivism vs practice approach," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 727-743.
    5. Sidney G. Winter, 2017. "Pursuing the evolutionary agenda in economics and management research," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(3), pages 721-747.
    6. Giovanni Gavetti & Massimo Warglien, 2015. "A Model of Collective Interpretation," Organization Science, INFORMS, vol. 26(5), pages 1263-1283, October.
    7. Markus C. Becker & Thorbjørn Knudsen, 2017. "Heterogeneity of habits as a foundation for Schumpeterian economic policy," Journal of Evolutionary Economics, Springer, vol. 27(1), pages 43-62, January.

    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:oup:indcch:v:23:y:2014:i:2:p:329-360.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/icc .

    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.