IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00666707.html
   My bibliography  Save this paper

High Growth Firms and Technological Knowledge: Do gazelles follow exploration or exploitation strategies?

Author

Listed:
  • Alessandra Colombelli

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur - CNRS - Centre National de la Recherche Scientifique)

  • Jackie Krafft

    () (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur - CNRS - Centre National de la Recherche Scientifique)

  • Francesco Quatraro

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur - CNRS - Centre National de la Recherche Scientifique, Department of Economics, University of Turin - University of Turin)

Abstract

This paper analyzes the contribution of high-growth firms to the process of knowledge creation. We articulate a demand-pull innovation framework in which knowledge creation is driven by sales growth, and knowledge stems from creative recombination. Given the established literature on high growth firms and economic growth, we wonder whether gazelles follow patterns of knowledge creation mostly dominated by exploration or exploitation strategies. To this purpose, we derive indicators able to describe the structure of knowledge and qualify firms' innovation strategies. The empirical results suggest that the reality is richer than the interpretative frameworks. Increasing growth rates are indeed associated to exploration strategies, supporting the idea that high growth firms are key actors in the creation of new technological knowledge. But in the meantime, firms showing growth rates significantly higher than the average are able to command the exploration strategies by constraining them within the boundaries of familiar technological competences, suggesting that the exploration process is less random than anticipated. We end up with the result that high growth firms, and especially gazelles, follow predominantly an exploration strategy, but with the characteristics of an organized search which is often more observed in an exploitation strategy.

Suggested Citation

  • Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2014. "High Growth Firms and Technological Knowledge: Do gazelles follow exploration or exploitation strategies?," Post-Print hal-00666707, HAL.
  • Handle: RePEc:hal:journl:hal-00666707
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00666707
    as

    Download full text from publisher

    File URL: https://hal.archives-ouvertes.fr/hal-00666707/document
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alex Coad, 2007. "A Closer Look at Serial Growth Rate Correlation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 31(1), pages 69-82, August.
    2. Giulio Bottazzi & Alex Coad & Nadia Jacoby & Angelo Secchi, 2011. "Corporate growth and industrial dynamics: evidence from French manufacturing," Applied Economics, Taylor & Francis Journals, vol. 43(1), pages 103-116.
    3. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(04), pages 795-837, August.
    4. Colombelli, Alessandra & Krafft, Jackie & Quatraro, Francesco, 2013. "Properties of knowledge base and firm survival: Evidence from a sample of French manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1469-1483.
    5. Francesco Crespi & Mario Pianta, 2008. "Demand and innovation in productivity growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 22(6), pages 655-672.
    6. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    7. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    8. Koen Frenken & Frank Van Oort & Thijs Verburg, 2007. "Related Variety, Unrelated Variety and Regional Economic Growth," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 685-697.
    9. Nightingale, Paul, 1998. "A cognitive model of innovation," Research Policy, Elsevier, vol. 27(7), pages 689-709, November.
    10. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
    11. Maurice Obstfeld, 1989. "Dynamic Seigniorage Theory: An Exploration," NBER Working Papers 2869, National Bureau of Economic Research, Inc.
    12. Saviotti, Pier Paolo, 2007. "On the dynamics of generation and utilisation of knowledge: The local character of knowledge," Structural Change and Economic Dynamics, Elsevier, vol. 18(4), pages 387-408, December.
    13. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    14. Alex Coad, 2010. "Exploring the processes of firm growth: evidence from a vector auto-regression," Industrial and Corporate Change, Oxford University Press, vol. 19(6), pages 1677-1703, December.
    15. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
    16. Giulio Bottazzi & Davide Pirino, 2010. "Measuring Industry Relatedness and Corporate Coherence," LEM Papers Series 2010/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. 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.
    18. Magnus Henrekson & Dan Johansson, 2010. "Gazelles as job creators: a survey and interpretation of the evidence," Small Business Economics, Springer, vol. 35(2), pages 227-244, September.
    19. Francesco Quatraro, 2009. "Knowledge Coherence, Variety and Productivity Growth: Manufacturing Evidence from Italian Regions," Papers in Evolutionary Economic Geography (PEEG) 0902, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2009.
    20. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    21. Lionel Nesta & Pier-Paolo Saviotti, 2006. "Firm knowledge and market value in biotechnology," Industrial and Corporate Change, Oxford University Press, vol. 15(4), pages 625-652, August.
    22. Werner Hölzl, 2010. "The Economics of Entrepreneurship Policy: Introduction to the Special Issue," Journal of Industry, Competition and Trade, Springer, vol. 10(3), pages 187-197, September.
    23. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    24. Nesta, Lionel, 2008. "Knowledge and productivity in the world's largest manufacturing corporations," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 886-902, September.
    25. Sven-Olov Daunfeldt & Niklas Elert, 2013. "When is Gibrat’s law a law?," Small Business Economics, Springer, vol. 41(1), pages 133-147, June.
    26. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    27. Zoltán J. Ács & Pamela Mueller, 2015. "Employment effects of business dynamics: Mice, Gazelles and Elephants," Chapters,in: Global Entrepreneurship, Institutions and Incentives, chapter 16, pages 304-319 Edward Elgar Publishing.
    28. Jackie Krafft & Francesco Quatraro, 2011. "The dynamics of technological knowledge," Post-Print halshs-00727633, HAL.
    29. repec:fth:harver:1473 is not listed on IDEAS
    30. Werner Hölzl, 2009. "Is the R&D behaviour of fast-growing SMEs different? Evidence from CIS III data for 16 countries," Small Business Economics, Springer, vol. 33(1), pages 59-75, June.
    31. Jackie Krafft & Francesco Quatraro & Pier-Paolo Saviotti, 2008. "Evolution of the knowledge base in knowledge intensive sectors," Working Papers hal-00264261, HAL.
    32. Nelson, Richard R., 1990. "Capitalism as an engine of progress," Research Policy, Elsevier, vol. 19(3), pages 193-214, June.
    33. Antonelli, Cristiano & Krafft, Jackie & Quatraro, Francesco, 2010. "Recombinant knowledge and growth: The case of ICTs," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 50-69, March.
    34. Simon Parker & David Storey & Arjen Witteloostuijn, 2010. "What happens to gazelles? The importance of dynamic management strategy," Small Business Economics, Springer, vol. 35(2), pages 203-226, September.
    35. repec:taf:recgxx:v:85:y:2009:i:3:p:289-311 is not listed on IDEAS
    36. Scherer, F M, 1982. "Demand-Pull and Technological Invention: Schmookler Revisited," Journal of Industrial Economics, Wiley Blackwell, vol. 30(3), pages 225-237, March.
    37. Saviotti, P. P., 1988. "Information, variety and entropy in technoeconomic development," Research Policy, Elsevier, vol. 17(2), pages 89-103, April.
    38. Michael Dietrich & Jackie Krafft, 2012. "The Economics and Theory of the Firm," Chapters,in: Handbook on the Economics and Theory of the Firm, chapter 1 Edward Elgar Publishing.
    39. Carolina Castaldi & Giovanni Dosi, 2009. "The patterns of output growth of firms and countries: Scale invariances and scale specificities," Empirical Economics, Springer, vol. 37(3), pages 475-495, December.
    40. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(2), pages 331-360.
    41. Francesca Lotti & Enrico Santarelli & Marco Vivarelli, 2003. "Does Gibrat's Law hold among young, small firms?," Journal of Evolutionary Economics, Springer, vol. 13(3), pages 213-235, August.
    42. Lee, Chang-Yang, 2010. "A theory of firm growth: Learning capability, knowledge threshold, and patterns of growth," Research Policy, Elsevier, vol. 39(2), pages 278-289, March.
    43. Alex Coad & Rekha Rao, 2010. "Firm growth and R&D expenditure," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(2), pages 127-145.
    44. Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2011. "The knowledge-base evolution in biotechnology: a social network analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(5), pages 445-475.
    45. Carliss Y. Baldwin & Kim B. Clark, 2000. "Design Rules, Volume 1: The Power of Modularity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262024667, March.
    46. Grid Thoma & Salvatore Torrisi & Alfonso Gambardella & Dominique Guellec & Bronwyn H. Hall & Dietmar Harhoff, 2010. "Harmonizing and Combining Large Datasets - An Application to Firm-Level Patent and Accounting Data," NBER Working Papers 15851, National Bureau of Economic Research, Inc.
    47. Cristiano Antonelli (ed.), 2011. "Handbook on the Economic Complexity of Technological Change," Books, Edward Elgar Publishing, number 13391.
    48. Giulio Bottazzi & Angelo Secchi, 2003. "Common Properties and Sectoral Specificities in the Dynamics of U.S. Manufacturing Companies," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 23(3_4), pages 217-232, December.
    49. Malerba, Franco & Orsenigo, Luigi, 1996. "The Dynamics and Evolution of Industries," Industrial and Corporate Change, Oxford University Press, vol. 5(1), pages 51-87.
    50. Giulio Bottazzi & Angelo Secchi, 2006. "Explaining the distribution of firm growth rates," RAND Journal of Economics, RAND Corporation, vol. 37(2), pages 235-256, June.
    51. Teece, David J. & Rumelt, Richard & Dosi, Giovanni & Winter, Sidney, 1994. "Understanding corporate coherence : Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 23(1), pages 1-30, January.
    52. Acs, Zoltan J. & Anselin, Luc & Varga, Attila, 2002. "Patents and innovation counts as measures of regional production of new knowledge," Research Policy, Elsevier, vol. 31(7), pages 1069-1085, September.
    53. Schmookler, Jacob, 1962. "Economic Sources of Inventive Activity," The Journal of Economic History, Cambridge University Press, vol. 22(01), pages 1-20, March.
    54. Ron Boschma & Simona Iammarino, 2009. "Related Variety, Trade Linkages, and Regional Growth in Italy," Economic Geography, Taylor & Francis Journals, vol. 85(3), pages 289-311, July.
    55. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters,in: R&D, Patents, and Productivity, pages 73-88 National Bureau of Economic Research, Inc.
    56. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Gazelles; Recombinant Knowledge; Schumpeterian innovation patterns;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:journl:hal-00666707. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.