IDEAS home Printed from https://ideas.repec.org/a/oup/indcch/v6y1997i1p119-43.html
   My bibliography  Save this article

Long-Term Evolutionary Change in organizational Populations: Theory, Models and Empirical Findings in Industrial Demography

Author

Listed:
  • Carroll, Glenn R

Abstract

Organizational ecology is a theoretical perspective on organizations that attempts to explain long-term social evolution, especially the rise and fall of organizational populations. This artist review the most sustained demographic research program of the perspective, one based on the density-dependent model of legitimation and competition. It discusses the theoretical model and evidence from industrial demography that has been offered in its support as well as criticisms that have been registered. Unresolved research problems of the program are identified and three major models-in-progress attempting to address these open questions are discussed and compared. Copyright 1997 by Oxford University Press.

Suggested Citation

  • Carroll, Glenn R, 1997. "Long-Term Evolutionary Change in organizational Populations: Theory, Models and Empirical Findings in Industrial Demography," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 6(1), pages 119-143.
    • Handle: RePEc:oup:indcch:v:6:y:1997:i:1:p:119-43
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. repec:dgr:rugsom:97b40 is not listed on IDEAS
    2. Cabras, Ignazio & Goumagias, Nikolaos D. & Fernandes, Kiran & Cowling, Peter & Li, Feng & Kudenko, Daniel & Devlin, Sam & Nucciarelli, Alberto, 2017. "Exploring survival rates of companies in the UK video-games industry: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 305-314.
    3. Peli, Gabor & Nooteboom, Bart, 1997. "Market partitioning and the geometry of the resource space," Research Report 97B40, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Christian Garavaglia, 2016. "Thinking about Entry of Firms: A Theoretical Discussion," International Business Research, Canadian Center of Science and Education, vol. 9(2), pages 46-73, February.
    5. Daniela Grieco, 2007. "The entrepreneurial decision: Theories, determinants and constraints," KITeS Working Papers 200, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised May 2007.
    6. Sydney Winter & Giovanni Dosi, 2000. "Interpreting Economic Change: Evolution, Structures and Games," LEM Papers Series 2000/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. S .G. Winter & Y. M. Kaniovski, 2000. "Modeling Industrial Dynamics with Innovative Entrants," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 16, pages 459-500, Edward Elgar Publishing.
    8. Giovanni Dosi & Luigi Marengo, 2007. "Perspective---On the Evolutionary and Behavioral Theories of Organizations: A Tentative Roadmap," Organization Science, INFORMS, vol. 18(3), pages 491-502, June.
    9. Sidney Winter & Yuri Kaniovski & Giovanni Dosi, 2003. "A baseline model of industry evolution," Journal of Evolutionary Economics, Springer, vol. 13(4), pages 355-383, October.
    10. Stamm, Isabell & Lubinski, Christina, 2011. "Crossroads of family business research and firm demography—A critical assessment of family business survival rates," Journal of Family Business Strategy, Elsevier, vol. 2(3), pages 117-127.
    11. J. Cameron Verhaal & Olga M. Khessina & Stanislav D. Dobrev, 2015. "Oppositional Product Names, Organizational Identities, and Product Appeal," Organization Science, INFORMS, vol. 26(5), pages 1466-1484, October.
    12. Saras Sarasvathy & Nicholas Dew, 2005. "New market creation through transformation," Journal of Evolutionary Economics, Springer, vol. 15(5), pages 533-565, November.
    13. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    14. Brouwer, Aleid & Mariotti, Ilaria & van Ommeren, Jos, 2002. "The firm relocation decision: a logit model," ERSA conference papers ersa02p205, European Regional Science Association.
    15. Bergek, Anna & Jacobsson, Staffan & Carlsson, Bo & Lindmark, Sven & Rickne, Annika, 2008. "Analyzing the functional dynamics of technological innovation systems: A scheme of analysis," Research Policy, Elsevier, vol. 37(3), pages 407-429, April.
    16. Alessandro Lomi & Erik R. Larsen & John H. Freeman, 2005. "Things Change: Dynamic Resource Constraints and System-Dependent Selection in the Evolution of Organizational Populations," Management Science, INFORMS, vol. 51(6), pages 882-903, June.
    17. Maier, Tomas, 2013. "Selected Aspect of the Microbreweries Boom," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(4), pages 1-8, December.
    18. Michael Menhart & Andreas Pyka & Bernd Ebersberger & Horst Hanusch, 2003. "Product Innovation and Population Dynamics in the German Insurance Market," Discussion Paper Series 240, Universitaet Augsburg, Institute for Economics.
    19. Aleid Elizabeth Brouwer, 2001. "Organizational Ecology and Industrial Organization; Old Firms in the Netherlands," ERSA conference papers ersa01p174, European Regional Science Association.

    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:6:y:1997:i:1:p:119-43. 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.