IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v177y2007i3p1375-1384.html
   My bibliography  Save this article

The organizational learning curve

Author

Listed:
  • Fioretti, Guido

Abstract

No abstract is available for this item.

Suggested Citation

  • Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
  • Handle: RePEc:eee:ejores:v:177:y:2007:i:3:p:1375-1384
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(05)00360-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Joskow, Paul L & Rozanski, George A, 1979. "The Effects of Learning by Doing on Nuclear Plant Operating Reliability," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 161-168, May.
    2. Bernardo A. Huberman, 2001. "The Dynamics of Organizational Learning," Computational and Mathematical Organization Theory, Springer, vol. 7(2), pages 145-153, August.
    3. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    4. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    5. Edwin Hutchins, 1991. "Organizing Work by Adaptation," Organization Science, INFORMS, vol. 2(1), pages 14-39, February.
    6. Karl E. Weick, 1991. "The Nontraditional Quality of Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 116-124, February.
    7. Cramer,J. S., 2011. "Logit Models from Economics and Other Fields," Cambridge Books, Cambridge University Press, number 9780521188036.
    8. Melissa A. Schilling & Patricia Vidal & Robert E. Ployhart & Alexandre Marangoni, 2003. "Learning by Doing Something Else: Variation, Relatedness, and the Learning Curve," Management Science, INFORMS, vol. 49(1), pages 39-56, January.
    9. John F. Muth, 1986. "Search Theory and the Manufacturing Progress Function," Management Science, INFORMS, vol. 32(8), pages 948-962, August.
    10. Dutton, John M. & Thomas, Annie & Butler, John E., 1984. "The History of Progress Functions as a Managerial Technology," Business History Review, Cambridge University Press, vol. 58(2), pages 204-233, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Abrahamsen, Eirik Bjorheim & Moharamzadeh, Alireza & Abrahamsen, Håkon Bjorheim & Asche, Frank & Heide, Bjørnar & Milazzo, Maria Francesca, 2018. "Are too many safety measures crowding each other out?," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 108-113.
    2. Sandhya Rijal & Yu-Han Huang & Hung-Yueh Lin, 2021. "An Integrated Approach to Municipal Solid Waste Recycling Performance Evaluation by Incorporating Local Demographic Features," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    3. Fioretti, Guido, 2009. "From men and machines to the organizational learning curve," MPRA Paper 19392, University Library of Munich, Germany.
    4. Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
    5. Dunbing Tang & Qi Wang & Inayat Ullah, 2017. "Optimisation of product configuration in consideration of customer satisfaction and low carbon," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3349-3373, June.
    6. Christina Fang, 2012. "Organizational Learning as Credit Assignment: A Model and Two Experiments," Organization Science, INFORMS, vol. 23(6), pages 1717-1732, December.
    7. Chang, Dong-Shang & Liu, Wenrong & Yeh, Li-Ting, 2013. "Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance," European Journal of Operational Research, Elsevier, vol. 229(2), pages 496-504.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guido Fioretti, 2007. "A connectionist model of the organizational learning curve," Computational and Mathematical Organization Theory, Springer, vol. 13(1), pages 1-16, March.
    2. Fioretti, Guido, 2009. "From men and machines to the organizational learning curve," MPRA Paper 19392, University Library of Munich, Germany.
    3. Christina Fang, 2012. "Organizational Learning as Credit Assignment: A Model and Two Experiments," Organization Science, INFORMS, vol. 23(6), pages 1717-1732, December.
    4. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    5. Alvarez, F. & Cerda, E., 2003. "Learning by doing in a T-period production planning: Analytical solution," European Journal of Operational Research, Elsevier, vol. 150(2), pages 353-369, October.
    6. Scott F. Rockart & Nilanjana Dutt, 2015. "The rate and potential of capability development trajectories," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 53-75, January.
    7. Schoots, K. & Kramer, G.J. & van der Zwaan, B.C.C., 2010. "Technology learning for fuel cells: An assessment of past and potential cost reductions," Energy Policy, Elsevier, vol. 38(6), pages 2887-2897, June.
    8. Steven D. Levitt & John A. List & Chad Syverson, 2013. "Toward an Understanding of Learning by Doing: Evidence from an Automobile Assembly Plant," Journal of Political Economy, University of Chicago Press, vol. 121(4), pages 643-681.
    9. 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.
    10. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
    11. Gregory Nemet & Erin Baker & Bob Barron & Samuel Harms, 2015. "Characterizing the effects of policy instruments on the future costs of carbon capture for coal power plants," Climatic Change, Springer, vol. 133(2), pages 155-168, November.
    12. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
    13. Sáenz-Royo, Carlos & Salas-Fumás, Vicente, 2013. "Learning to learn and productivity growth: Evidence from a new car-assembly plant," Omega, Elsevier, vol. 41(2), pages 336-344.
    14. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    15. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
    16. Thompson, Peter, 2010. "Learning by Doing," 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 429-476, Elsevier.
    17. Eelke Wiersma, 2007. "Conditions That Shape the Learning Curve: Factors That Increase the Ability and Opportunity to Learn," Management Science, INFORMS, vol. 53(12), pages 1903-1915, December.
    18. Carlos Ocaña Pérez de Tudela, 1993. "Modelos dinámicos de competencia estratégica y cambio técnico: una panorámica," Investigaciones Economicas, Fundación SEPI, vol. 17(1), pages 43-63, January.
    19. Anelí Bongers, 2017. "Learning and forgetting in the jet fighter aircraft industry," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    20. Stavins, Robert & Jaffe, Adam & Newell, Richard, 2000. "Technological Change and the Environment," Working Paper Series rwp00-002, Harvard University, John F. Kennedy School of Government.

    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:eee:ejores:v:177:y:2007:i:3:p:1375-1384. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.