IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v47y2001i6p752-768.html
   My bibliography  Save this article

Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery

Author

Listed:
  • Gary P. Pisano

    (Harvard Business School, Soldiers Field Road, Boston, Massachusetts 02163)

  • Richard M.J. Bohmer

    (Harvard Business School, Soldiers Field Road, Boston, Massachusetts 02163)

  • Amy C. Edmondson

    (Harvard Business School, Soldiers Field Road, Boston, Massachusetts 02163)

Abstract

This paper examines learning curves in the health care setting to determine whether organizations achieve performance improvements from cumulative experience at different rates. Although extensive research has shown that cumulative experience leads to performance improvement across numerous contexts, the question of how much of this improvement is due to mere experience and how much is due to collective learning processes has received little attention. We argue that organizational learning processes may allow some organizations to benefit more than others from equivalent levels of experience. We thus propose that learning curves can vary across organizations engaged in the same "learning task," due to organizational learning effects. To investigate this proposition, we investigate cardiac surgery departments implementing a new technology for minimally invasive cardiac surgery. Data on operative procedure times from a sample of 660 patients who underwent the new operation at 16 different institutions are analyzed. The results confirm that cumulative experience is a significant predictor of learning, and further reveal that the slope of the learning curve varies significantly across organizations. Theoretical and practical implications of the work are discussed.

Suggested Citation

  • Gary P. Pisano & Richard M.J. Bohmer & Amy C. Edmondson, 2001. "Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 47(6), pages 752-768, June.
  • Handle: RePEc:inm:ormnsc:v:47:y:2001:i:6:p:752-768
    DOI: 10.1287/mnsc.47.6.752.9811
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.47.6.752.9811
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.47.6.752.9811?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. von Hippel, Eric, 1976. "The dominant role of users in the scientific instrument innovation process," Research Policy, Elsevier, vol. 5(3), pages 212-239, July.
    2. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    3. Anne S. Miner & Stephen J. Mezias, 1996. "Ugly Duckling No More: Pasts and Futures of Organizational Learning Research," Organization Science, INFORMS, vol. 7(1), pages 88-99, February.
    4. Ronald S. Jarmin, 1994. "Learning by Doing and Competition in the Early Rayon Industry," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 441-454, Autumn.
    5. Dennis Epple & Linda Argote & Rukmini Devadas, 1991. "Organizational Learning Curves: A Method for Investigating Intra-Plant Transfer of Knowledge Acquired Through Learning by Doing," Organization Science, INFORMS, vol. 2(1), pages 58-70, February.
    6. Nile W. Hatch & David C. Mowery, 1998. "Process Innovation and Learning by Doing in Semiconductor Manufacturing," Management Science, INFORMS, vol. 44(11-Part-1), pages 1461-1477, November.
    7. Gavin Sinclair & Steven Klepper & Wesley Cohen, 2000. "What's Experience Got to Do With It? Sources of Cost Reduction in a Large Specialty Chemicals Producer," Management Science, INFORMS, vol. 46(1), pages 28-45, January.
    8. Von Hippel, Eric, 1982. "Appropriability of innovation benefit as a predictor of the source of innovation," Research Policy, Elsevier, vol. 11(2), pages 95-115, April.
    9. von Hippel, Eric & Tyre, Marcie J., 1995. "How learning by doing is done: problem identification in novel process equipment," Research Policy, Elsevier, vol. 24(1), pages 1-12, January.
    10. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    11. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    12. Nelson, Richard R & Winter, Sidney G, 1982. "The Schumpeterian Tradeoff Revisited," American Economic Review, American Economic Association, vol. 72(1), pages 114-132, March.
    13. Bertrand Moingeon & Amy Edmondson, 1998. "From Organizational Learning to the Learning Organization," Post-Print hal-00465872, HAL.
    14. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    Full references (including those not matched with items on IDEAS)

    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. Rui, Huaichuan & Cuervo-Cazurra, Alvaro & Annique Un, C., 2016. "Learning-by-doing in emerging market multinationals: Integration, trial and error, repetition, and extension," Journal of World Business, Elsevier, vol. 51(5), pages 686-699.
    2. Nadeau, Marie-Claude & Kar, Ashish & Roth, Richard & Kirchain, Randolph, 2010. "A dynamic process-based cost modeling approach to understand learning effects in manufacturing," International Journal of Production Economics, Elsevier, vol. 128(1), pages 223-234, November.
    3. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    4. Demeester, Lieven L. & Qi, Mei, 2005. "Managing learning resources for consecutive product generations," International Journal of Production Economics, Elsevier, vol. 95(2), pages 265-283, February.
    5. Ray Reagans & Linda Argote & Daria Brooks, 2005. "Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together," Management Science, INFORMS, vol. 51(6), pages 869-881, June.
    6. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    7. 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.
    8. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    9. Pattravadee Ploykitikoon & Charles M. Weber, 2019. "Knowledge Pathways and Performance: An Empirical Study of the National Laboratories in a Technology Latecomer Country," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-37, May.
    10. Funk, Jeffrey L. & Magee, Christopher L., 2015. "Rapid improvements with no commercial production: How do the improvements occur?," Research Policy, Elsevier, vol. 44(3), pages 777-788.
    11. Morrison, J. Bradley, 2008. "Putting the learning curve in context," Journal of Business Research, Elsevier, vol. 61(11), pages 1182-1190, November.
    12. Megan Lawrence, 2020. "Replication using templates: Does the unit learn from itself, the template, or both?," Strategic Management Journal, Wiley Blackwell, vol. 41(11), pages 1955-1982, November.
    13. Marco D. Huesch & Mariko Sakakibara, 2009. "Forgetting the learning curve for a moment: how much performance is unrelated to own experience?," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 855-862, July.
    14. Ivan Lugovoi & Dimitrios A. Andritsos & Claire Senot, 2022. "Novelty and scope of process innovation: The role of related and unrelated manufacturing experience," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3877-3895, October.
    15. Megan Lawrence, 2018. "Taking Stock of the Ability to Change: The Effect of Prior Experience," Organization Science, INFORMS, vol. 29(3), pages 489-506, June.
    16. David Maslach & Oana Branzei & Claus Rerup & Mark J. Zbaracki, 2018. "Noise as Signal in Learning from Rare Events," Organization Science, INFORMS, vol. 29(2), pages 225-246, April.
    17. Pablo Martin de Holan & Nelson Phillips, 2004. "Remembrance of Things Past? The Dynamics of Organizational Forgetting," Management Science, INFORMS, vol. 50(11), pages 1603-1613, November.
    18. Tridas Mukhopadhyay & ParamVir Singh & Seung Hyun Kim, 2011. "Learning Curves of Agents with Diverse Skills in Information Technology-Enabled Physician Referral Systems," Information Systems Research, INFORMS, vol. 22(3), pages 586-605, September.
    19. 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.
    20. Michael A. Lapré & Luk N. Van Wassenhove, 2001. "Creating and Transferring Knowledge for Productivity Improvement in Factories," Management Science, INFORMS, vol. 47(10), pages 1311-1325, October.

    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:inm:ormnsc:v:47:y:2001:i:6:p:752-768. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.