IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v47y2001i10p1311-1325.html
   My bibliography  Save this article

Creating and Transferring Knowledge for Productivity Improvement in Factories

Author

Listed:
  • Michael A. Lapré

    (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

  • Luk N. Van Wassenhove

    (INSEAD, Boulevard de Constance, 77305 Fontainebleau Cedex, France)

Abstract

Can a firm accelerate its learning curve if knowledge about the production function is incomplete? This article identifies a production line specifically set up to create technological knowledge about its production function through scientific experimentation (formal learning) as opposed to learning by doing. The organizational structure of this line was very successful in creating technological knowledge. Formal learning resulted in huge productivity improvements. Replication of this organizational structure on three production lines in other plants within the same firm fell short of expectations. Formal learning did not result in similar productivity improvements. Our research suggests two factors that may facilitate creation and transfer of technological knowledge: management buy-in and knowledge diversity to solve interdepartmental problems.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:47:y:2001:i:10:p:1311-1325
    DOI: 10.1287/mnsc.47.10.1311.10264
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.47.10.1311.10264
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.47.10.1311.10264?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. 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.
    2. Gary P. Pisano, 1994. "Knowledge, Integration, and the Locus of Learning: An Empirical Analysis of Process Development," Strategic Management Journal, Wiley Blackwell, vol. 15(S1), pages 85-100, December.
    3. Michael A. Lapré & Amit Shankar Mukherjee & Luk N. Van Wassenhove, 2000. "Behind the Learning Curve: Linking Learning Activities to Waste Reduction," Management Science, INFORMS, vol. 46(5), pages 597-611, May.
    4. Sidney G. Winter & Gabriel Szulanski, 2001. "Replication as Strategy," Organization Science, INFORMS, vol. 12(6), pages 730-743, December.
    5. Jaikumar, Ramachandran & Bohn, Roger E., 1992. "A dynamic approach to operations management: An alternative to static optimization," International Journal of Production Economics, Elsevier, vol. 27(3), pages 265-282, October.
    6. 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.
    7. 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.
    8. Ferdinand K. Levy, 1965. "Adaptation in the Production Process," Management Science, INFORMS, vol. 11(6), pages 136-154, April.
    9. 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.
    10. Dennis Epple & Linda Argote & Kenneth Murphy, 1996. "An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer Through Learning by Doing," Operations Research, INFORMS, vol. 44(1), pages 77-86, February.
    11. Amit Shankar Mukherjee & Michael A. Lapré & Luk N. Van Wassenhove, 1998. "Knowledge Driven Quality Improvement," Management Science, INFORMS, vol. 44(11-Part-2), pages 35-49, November.
    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. Janice E. Carrillo & Cheryl Gaimon, 2004. "Managing Knowledge-Based Resource Capabilities Under Uncertainty," Management Science, INFORMS, vol. 50(11), pages 1504-1518, November.
    2. Kannan Srikanth & Jaideep Anand & Mihaela Stan, 2021. "The origins of time compression diseconomies," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1573-1599, September.
    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. 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.
    5. 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.
    6. Anupam Agrawal & Suresh Muthulingam, 2015. "Does Organizational Forgetting Affect Vendor Quality Performance? An Empirical Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 350-367, July.
    7. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    8. Michael A. Lapré & Amit Shankar Mukherjee & Luk N. Van Wassenhove, 2000. "Behind the Learning Curve: Linking Learning Activities to Waste Reduction," Management Science, INFORMS, vol. 46(5), pages 597-611, May.
    9. Ingrid M. Nembhard & Anita L. Tucker, 2011. "Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units," Organization Science, INFORMS, vol. 22(4), pages 907-922, August.
    10. Carolyn D. Egelman & Dennis Epple & Linda Argote & Erica R.H. Fuchs, 2013. "Learning by Doing in a Multi-Product Manufacturing Environment: Product Variety, Customizations, and Overlapping Product Generations," NBER Working Papers 19674, National Bureau of Economic Research, Inc.
    11. Wonsang Ryu & Brian T. McCann & William P. Wan, 2022. "Learning by doing and corporate diversification," Strategic Management Journal, Wiley Blackwell, vol. 43(8), pages 1635-1665, August.
    12. Kim, Youngsoo, 2022. "Taxi driver’s learning curves: An empirical analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 1-13.
    13. Anandasivam Gopal & Manu Goyal & Serguei Netessine & Matthew Reindorp, 2013. "The Impact of New Product Introduction on Plant Productivity in the North American Automotive Industry," Management Science, INFORMS, vol. 59(10), pages 2217-2236, October.
    14. 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.
    15. 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.
    16. Wang, Weijia & Plante, Robert D. & Tang, Jen, 2013. "Minimum cost allocation of quality improvement targets under supplier process disruption," European Journal of Operational Research, Elsevier, vol. 228(2), pages 388-396.
    17. 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.
    18. Guido Fioretti, 2007. "A connectionist model of the organizational learning curve," Computational and Mathematical Organization Theory, Springer, vol. 13(1), pages 1-16, March.
    19. 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.
    20. 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.

    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:10:p:1311-1325. 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.