IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v19y2013i4d10.1007_s10588-012-9143-9.html
   My bibliography  Save this article

Parametric interdependence, learning-by-doing, and industrial structure

Author

Listed:
  • William Martin Tracy

    (Rensselaer Polytechnic Institute)

  • M. V. Shyam Kumar

    (Rensselaer Polytechnic Institute)

  • William Paczkowski

    (Rensselaer Polytechnic Institute)

Abstract

We explore the proposition that parametric interdependence makes learning-by-doing a nondeterministic, path-dependent process. The implications of our model challenge two conventional beliefs about the relationships between industrial structure, spillovers, and learning-by-doing. First, we challenge the belief that the monopolistic industrial structure always maximizes learning-by-doing gains when there are no spillovers. Second, we challenge the belief that increasing spillovers unambiguously increases welfare when learning-by-doing drives innovation.

Suggested Citation

  • William Martin Tracy & M. V. Shyam Kumar & William Paczkowski, 2013. "Parametric interdependence, learning-by-doing, and industrial structure," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 580-600, December.
  • Handle: RePEc:spr:comaot:v:19:y:2013:i:4:d:10.1007_s10588-012-9143-9
    DOI: 10.1007/s10588-012-9143-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-012-9143-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10588-012-9143-9?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
    ---><---

    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. Giovanni Gavetti & Daniel A. Levinthal & Jan W. Rivkin, 2005. "Strategy making in novel and complex worlds: the power of analogy," Strategic Management Journal, Wiley Blackwell, vol. 26(8), pages 691-712, August.
    2. Jim Jin & Juan Perote-Peña & Michael Troege, 2004. "Learning by doing, spillovers and shakeouts," Journal of Evolutionary Economics, Springer, vol. 14(1), pages 85-98, January.
    3. Gábor Péli & Bart Nooteboom, 1997. "Simulation of Learning in Supply Partnerships," Computational and Mathematical Organization Theory, Springer, vol. 3(1), pages 43-66, March.
    4. Michael J. Lenox & Scott F. Rockart & Arie Y. Lewin, 2007. "Interdependency, Competition, and Industry Dynamics," Management Science, INFORMS, vol. 53(4), pages 599-615, April.
    5. Fioretti, Guido, 2006. "Recognising investment opportunities at the onset of recoveries," Research in Economics, Elsevier, vol. 60(2), pages 69-84, June.
    6. Emanuela Randon & Ahmad Naimzada, 2007. "Dynamics of the non linear learning curve with spillovers in a differentiated oligopoly: effects on industry structure," Journal of Evolutionary Economics, Springer, vol. 17(1), pages 95-106, February.
    7. Young, Alwyn, 1993. "Invention and Bounded Learning by Doing," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 443-472, June.
    8. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
    9. Mansfield, Edwin, 1985. "How Rapidly Does New Industrial Technology Leak Out?," Journal of Industrial Economics, Wiley Blackwell, vol. 34(2), pages 217-223, December.
    10. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    11. 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.
    12. A. M. Spence, 1981. "The Learning Curve and Competition," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 49-70, Spring.
    13. Paul Guest & Dylan Sutherland, 2010. "The impact of business group affiliation on performance: evidence from China's 'national champions'," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 34(4), pages 617-631.
    14. Dasgupta, Partha & Stiglitz, Joseph E, 1988. "Learning-by-Doing, Market Structure and Industrial and Trade Policies," Oxford Economic Papers, Oxford University Press, vol. 40(2), pages 246-268, June.
    15. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    16. 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.
    17. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    18. Petra Ahrweiler & Nigel Gilbert & Andreas Pyka, 2011. "Agency and structure: a social simulation of knowledge-intensive industries," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 59-76, March.
    19. Tim Carroll & Richard M. Burton, 2000. "Organizations and Complexity: Searching for the Edge of Chaos," Computational and Mathematical Organization Theory, Springer, vol. 6(4), pages 319-337, December.
    20. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
    21. Philip Auerswald, 2010. "Entry and Schumpeterian profits," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 553-582, August.
    22. Marengo, Luigi, et al, 2000. "The Structure of Problem-Solving Knowledge and the Structure of Organizations," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 9(4), pages 757-788, December.
    23. Kollman, Ken & Miller, John H & Page, Scott E, 2000. "Decentralization and the Search for Policy Solutions," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 16(1), pages 102-128, April.
    24. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 249-267.
    25. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    26. Marvin B. Lieberman & David B. Montgomery, 1988. "First‐mover advantages," Strategic Management Journal, Wiley Blackwell, vol. 9(S1), pages 41-58, June.
    27. Nicolaj Siggelkow & Jan W. Rivkin, 2005. "Speed and Search: Designing Organizations for Turbulence and Complexity," Organization Science, INFORMS, vol. 16(2), pages 101-122, April.
    28. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    29. Daniel Solow & Sandy Piderit & Apostolos Burnetas & Chartchai Leenawong, 2005. "Mathematical Models for Studying the Value of Motivational Leadership in Teams," Computational and Mathematical Organization Theory, Springer, vol. 11(1), pages 5-36, May.
    30. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    31. Maurizio Zollo & Sidney G. Winter, 2002. "Deliberate Learning and the Evolution of Dynamic Capabilities," Organization Science, INFORMS, vol. 13(3), pages 339-351, June.
    32. Christina Fang & Jeho Lee & Melissa A. Schilling, 2010. "Balancing Exploration and Exploitation Through Structural Design: The Isolation of Subgroups and Organizational Learning," Organization Science, INFORMS, vol. 21(3), pages 625-642, June.
    33. 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.
    34. Koen Frenken & Alessandro Nuvolari, 2004. "The early development of the steam engine: an evolutionary interpretation using complexity theory," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 13(2), pages 419-450, April.
    35. Jan W. Rivkin, 2000. "Imitation of Complex Strategies," Management Science, INFORMS, vol. 46(6), pages 824-844, June.
    36. Gang Zhang & Ruoyang Gao, 2010. "Modularity and incremental innovation: the roles of design rules and organizational communication," Computational and Mathematical Organization Theory, Springer, vol. 16(2), pages 171-200, June.
    37. Spence, Michael, 1984. "Cost Reduction, Competition, and Industry Performance," Econometrica, Econometric Society, vol. 52(1), pages 101-121, January.
    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. William M. Tracy & Dmitri G. Markovitch & Lois S. Peters & B. V. Phani & Deepu Philip, 2017. "Algorithmic Representations of Managerial Search Behavior," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 343-361, March.
    2. Philip Auerswald, 2010. "Entry and Schumpeterian profits," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 553-582, August.
    3. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
    4. Koen Frenken & Alessandro Nuvolari, 2004. "Entropy statistics as a framework to analyse technological evolution," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 5, Edward Elgar Publishing.
    5. Jan W. Rivkin, 2001. "Reproducing Knowledge: Replication Without Imitation at Moderate Complexity," Organization Science, INFORMS, vol. 12(3), pages 274-293, June.
    6. Juha Uotila, 2018. "Punctuated equilibrium or ambidexterity: dynamics of incremental and radical organizational change over time," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 131-148.
    7. Koen Frenken, 2006. "Technological innovation and complexity theory," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(2), pages 137-155.
    8. Levin, Mark (Левин, Марк) & Matrosova, K. (Матросова, К.), 2016. "Research, Modeling and Process Management Dissemination of Innovations in Socio-Economic Systems [Исследование, Моделирование И Управление Процессами Распространения Инноваций В Социально-Экономиче," Working Papers 1443, Russian Presidential Academy of National Economy and Public Administration.
    9. Marco Valente, 2014. "An NK-like model for complexity," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 107-134, January.
    10. Sai Yayavaram & Sasanka Sekhar Chanda, 2023. "Decision making under high complexity: a computational model for the science of muddling through," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 300-335, June.
    11. 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.
    12. Sai Yayavaram & Wei-Ru Chen, 2015. "Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 377-396, March.
    13. Tammy L. Madsen & Michael J. Leiblein, 2015. "What Factors Affect the Persistence of an Innovation Advantage?," Journal of Management Studies, Wiley Blackwell, vol. 52(8), pages 1097-1127, December.
    14. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    15. Oliver Baumann, 2015. "Models of complex adaptive systems in strategy and organization research," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 169-183, November.
    16. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
    17. Unterschultz, James R. & Lerohl, Mel L. & Peng, Yanning & Gurung, Rajendra Kumar, 1998. "A Nutraceutical Industry: Policy Implications for Future Directions," Project Report Series 24051, University of Alberta, Department of Resource Economics and Environmental Sociology.
    18. Mo Chen & Aseem Kaul & Brian Wu, 2019. "Adaptation across multiple landscapes: Relatedness, complexity, and the long run effects of coordination in diversified firms," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1791-1821, November.
    19. Oliver Baumann & Nicolaj Siggelkow, 2013. "Dealing with Complexity: Integrated vs. Chunky Search Processes," Organization Science, INFORMS, vol. 24(1), pages 116-132, February.
    20. Valente Houhannisian, 2004. "Modeling Directod Local Search Strategies on Technology Landscapes and Breadth," Quaderni DISA 091, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.

    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:spr:comaot:v:19:y:2013:i:4:d:10.1007_s10588-012-9143-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.