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Learning to Be Edison: Inventors, Organizations, and Breakthrough Inventions

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  • Raffaele Conti

    (Catolica Lisbon School of Business and Economics, Palma de Cima, 1649-023 Lisbon, Portugal)

  • Alfonso Gambardella

    (Department of Management and Technology, Bocconi University, 20136 Milan, Italy)

  • Myriam Mariani

    (Department of Policy Analysis and Public Management, Bocconi University, 20136 Milan, Italy)

Abstract

This study examines whether inventors’ past stock of inventions affects the rate at which they produce technological breakthroughs, as well as the role of organizational contingencies in moderating this effect. The breakthrough rate depends on the rate at which an inventor generates inventions and the probability that each of these inventions is a breakthrough. We argue that inventors with larger patent records generate a higher rate of inventions, but the single inventions that they generate each have a lower probability of being a breakthrough. Longitudinal data of 5,144 European inventors and fixed-effects estimation confirm these predictions and reveal that the net effect of the inventors’ stock of past inventions on the breakthrough rate is positive—that is, more established inventors display a higher rate of breakthroughs than brand-new inventors. We also confirm the role of organizational contexts in shaping inventors’ productivity. In particular, firms’ control over research and development targets lessens the advantage of established inventors with regard to the rate of breakthrough generation.

Suggested Citation

  • Raffaele Conti & Alfonso Gambardella & Myriam Mariani, 2014. "Learning to Be Edison: Inventors, Organizations, and Breakthrough Inventions," Organization Science, INFORMS, vol. 25(3), pages 833-849, June.
  • Handle: RePEc:inm:ororsc:v:25:y:2014:i:3:p:833-849
    DOI: 10.1287/orsc.2013.0875
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    6. Sam Arts & Lee Fleming, 2018. "Paradise of Novelty—Or Loss of Human Capital? Exploring New Fields and Inventive Output," Organization Science, INFORMS, vol. 29(6), pages 1074-1092, December.
    7. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
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