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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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Sidney G. Winter & Gabriel Szulanski, 2001. "Replication as Strategy," Organization Science, INFORMS, vol. 12(6), pages 730-743, December.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Ferdinand K. Levy, 1965. "Adaptation in the Production Process," Management Science, INFORMS, vol. 11(6), pages 136-154, April.
    10. 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.
    11. 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.
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