Taste for science, academic boundary spanning, and inventive performance of scientists and engineers in industry
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- Veugelers, Reinhilde & Arts, Sam, 2018. "Taste for Science, Academic Boundary Spanning and Inventive Performance of Scientists and Engineers in Industry," CEPR Discussion Papers 12704, C.E.P.R. Discussion Papers.
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Cited by:
- Chuks Otioma, 2023. "IT Capability, Organisational Learning and Innovation Performance of Firms in Kenya," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 3489-3517, September.
- Plantec, Quentin & Cabanes, Benjamin & le Masson, Pascal & Weil, Benoit, 2023. "Early-career academic engagement in university–industry collaborative PhDs: Research orientation and project performance," Research Policy, Elsevier, vol. 52(9).
- 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.
- 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).
- 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.
- Lawson, Cornelia & Lopes-Bento, Cindy, 2024. "Miss or match? The impact of PhD training on job market satisfaction," Research Policy, Elsevier, vol. 53(3).
- Martínez, Catalina & Parlane, Sarah, 2023. "Academic scientists in corporate R&D: A theoretical model," Research Policy, Elsevier, vol. 52(5).
- 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.
- 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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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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