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Adoption of a Process Innovation with Learning-by-Doing: Evidence from the Semiconductor Industry

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  • Cabral, Ricardo
  • Leiblein, Michael J

Abstract

This article analyzes the adoption of a new process technology in the global semiconductor manufacturing industry. The paper extends research on the relationship between learning-by-doing and technology adoption by examining the stability of learning effects across technological generations. While the results indicate that production experience with the immediately preceding technological generation is associated with a higher likelihood of adoption, we find no evidence that experience with older technologies or regional knowledge spillovers influence adoption. Finally, the results indicate that large firms and memory manufacturers have a higher likelihood of adoption than small firms and non-memory manufacturers, respectively. Copyright 2001 by Blackwell Publishing Ltd

Suggested Citation

  • Cabral, Ricardo & Leiblein, Michael J, 2001. "Adoption of a Process Innovation with Learning-by-Doing: Evidence from the Semiconductor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(3), pages 269-280, September.
  • Handle: RePEc:bla:jindec:v:49:y:2001:i:3:p:269-80
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    Cited by:

    1. Harrington, Donna Ramirez, 2012. "Two-stage adoption of different types of pollution prevention (P2) activities," Resource and Energy Economics, Elsevier, vol. 34(3), pages 349-373.
    2. repec:eee:tefoso:v:125:y:2017:i:c:p:166-177 is not listed on IDEAS
    3. Liu, Wen-Hsien & Chyi, Yih-Luan, 2006. "A Markov regime-switching model for the semiconductor industry cycles," Economic Modelling, Elsevier, vol. 23(4), pages 569-578, July.
    4. Hervas-Oliver, Jose-Luis & Sempere-Ripoll, Francisca & Boronat-Moll, Carles, 2012. "Process innovation objectives and management complementarities: patterns, drivers, co-adoption and performance effects," MERIT Working Papers 051, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Jose-Luis Hervas-Oliver & Francisca Sempere-Ripoll & Carles Boronat-Moll, 2014. "Process innovation strategy in SMEs, organizational innovation and performance: a misleading debate?," Small Business Economics, Springer, vol. 43(4), pages 873-886, December.
    6. repec:wsi:ijimxx:v:21:y:2017:i:04:n:s1363919617500402 is not listed on IDEAS
    7. Lehrer, Mark & Banerjee, Preeta M. & Wang, I. Kim, 2017. "When the sky is the limit on scale: From temporal to multiplicative scaling in process-based technologies," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 151-159.
    8. Das Nilotpal & Falaris Evangelos M & Mulligan James G, 2009. "Vintage Effects and the Diffusion of Time-Saving Technological Innovations," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-37, June.
    9. James G. Mulligan & Nilotpal Das, 2006. "Item Pricing Laws, Supplier Behavior, and the Diffusion of Time-Saving Technology Innovations," Working Papers 06-11, University of Delaware, Department of Economics.
    10. Emmanuel Dechenaux & Brent Goldfarb & Scott Shane & Marie Thursby, 2008. "Appropriability and Commercialization: Evidence from MIT Inventions," Management Science, INFORMS, vol. 54(5), pages 893-906, May.
    11. James G. Mulligan & Nilotpal Das, 2005. "Persistent Adoption of Time-Saving Process Innovations," Working Papers 05-03, University of Delaware, Department of Economics.
    12. Chang, Shun-Chiao & Wu, Ho-Mou, 2006. "Production experiences and market structure in R&D competition," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 163-183, February.
    13. James G. Mulligan & Nilotpal Das, 2004. "Vintage Effects and the Diffusion of Time-Saving Technological Innovations: The Adoption of Optical Scanners by U.S. Supermarkets."," Working Papers 04-06, University of Delaware, Department of Economics.

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