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Taste for science, academic boundary spanning, and inventive performance of scientists and engineers in industry

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  • Sam Arts
  • Reinhilde Veugelers

Abstract

Matching survey data on PhD scientists and engineers currently working in an R&D job in industry with publications and patents, we study the relation between their individual motives and the rate and nature of their inventive output. We find that individuals with a strong taste for science, that is motivated by intellectual challenge, autonomy, and contribution to society, create more novel and impactful patents in industry. These individuals are also more involved in academic boundary spanning, proxied by scientific publications co-authored with academic scientists, and this boundary spanning partially mediates the effect of taste for science on impactful inventive output. In contrast, individuals with a strong taste for salary and career collaborate less with academic scientists, fully mediating the negative effect of taste for salary and career on impactful inventive output.

Suggested Citation

  • Sam Arts & Reinhilde Veugelers, 2020. "Taste for science, academic boundary spanning, and inventive performance of scientists and engineers in industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(4), pages 917-933.
  • Handle: RePEc:oup:indcch:v:29:y:2020:i:4:p:917-933.
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    File URL: http://hdl.handle.net/10.1093/icc/dtaa013
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    Cited by:

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    2. Cassiman, Bruno & Veugelers, Reinhilde & Arts, Sam, 2018. "Mind the gap: Capturing value from basic research through combining mobile inventors and partnerships," Research Policy, Elsevier, vol. 47(9), pages 1811-1824.
    3. Rotolo, Daniele & Camerani, Roberto & Grassano, Nicola & Martin, Ben R., 2022. "Why do firms publish? A systematic literature review and a conceptual framework," Research Policy, Elsevier, vol. 51(10).
    4. Quentin Plantec & Pascal Le Masson & Benoit Weil, 2021. "Another way to get the Nobel Prize: the role of the industry in the emergence of new scientific breakthroughs," Post-Print halshs-03278662, HAL.
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    6. Sajad Ashouri & Anne-Laure Mention & Kosmas X. Smyrnios, 2021. "Anticipation and analysis of industry convergence using patent-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5727-5758, July.
    7. Arts, Sam & Hou, Jianan & Gomez, Juan Carlos, 2021. "Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures," Research Policy, Elsevier, vol. 50(2).

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    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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