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The Effect of Collaboration Network on Inventors' Job Match, Productivity and Tenure

Author

Listed:
  • Ryo Nakajima
  • Ryuichi Tamura
  • Nobuyuki Hanaki

Abstract

It has been argued in the economic literature that job search through informal job networks improves the employer-employee match quality. This paper argues that inventors' research collaboration networks reduce the uncertainty of firms about the match qualities of inventors prior to hiring. We estimate the effect of inventors' collaboration networks on their productivity and mobility using the U.S. patent application database. It is found that network- recruited inventors are more productive and have longer tenure than publicly recruited inventors. The evidence from fixed-effect regressions shows that the higher productivity and longer tenure of network-recruited inventors are not solely attributable to their unobserved ability. These results are consistent with the job match hypothesis between inventors and firms through their collaboration networks.

Suggested Citation

  • Ryo Nakajima & Ryuichi Tamura & Nobuyuki Hanaki, 2009. "The Effect of Collaboration Network on Inventors' Job Match, Productivity and Tenure," Tsukuba Economics Working Papers 2009-001, Faculty of Humanities and Social Sciences, University of Tsukuba.
  • Handle: RePEc:tsu:tewpjp:2009-001
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    Cited by:

    1. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2014. "Localized Knowledge Spillovers and Patent Citations: A Distance-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 967-985, December.
    2. Holford, Angus, 2017. "Access to and returns from unpaid graduate internships," ISER Working Paper Series 2017-07, Institute for Social and Economic Research.
    3. Hanaki, Nobuyuki & Nakajima, Ryo & Ogura, Yoshiaki, 2010. "The dynamics of R&D network in the IT industry," Research Policy, Elsevier, vol. 39(3), pages 386-399, April.
    4. Tubiana, Matteo & Miguelez, Ernest & Moreno, Rosina, 2022. "In knowledge we trust: Learning-by-interacting and the productivity of inventors," Research Policy, Elsevier, vol. 51(1).
    5. Poege, Felix & Gaessler, Fabian & Hoisl, Karin & Harhoff, Dietmar & Dorner, Matthias, 2022. "Filling the Gap: The Consequences of Collaborator Loss in Corporate R&D," IZA Discussion Papers 15618, IZA Network @ LISER.
    6. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2013. "Localized knowledge spillovers and patent citations: A distance-based approach (revised version)," GRIPS Discussion Papers 12-18, National Graduate Institute for Policy Studies.
    7. Clément Gorin, 2016. "Patterns and determinants of inventors' mobility across European urban areas," Working Papers halshs-01313086, HAL.
    8. Di Lorenzo, Francesco & Almeida, Paul, 2017. "The role of relative performance in inter-firm mobility of inventors," Research Policy, Elsevier, vol. 46(6), pages 1162-1174.
    9. Gergő Tóth & Balázs Lengyel, 2021. "Inter-firm inventor mobility and the role of co-inventor networks in producing high-impact innovation," The Journal of Technology Transfer, Springer, vol. 46(1), pages 117-137, February.
    10. Ernest Miguélez & Rosina Moreno, 2014. "What Attracts Knowledge Workers? The Role Of Space And Social Networks," Journal of Regional Science, Wiley Blackwell, vol. 54(1), pages 33-60, January.
    11. Bao, Leo & Gangadharan, Lata & Leister, C. Matthew, 2025. "Deterrence in networks," Games and Economic Behavior, Elsevier, vol. 150(C), pages 501-517.
    12. Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rails and knowledge productivity: A global perspective," Transport Policy, Elsevier, vol. 101(C), pages 174-186.
    13. Cristobal Cheyre & Steven Klepper & Francisco Veloso, 2015. "Spinoffs and the Mobility of U.S. Merchant Semiconductor Inventors," Management Science, INFORMS, vol. 61(3), pages 487-506, March.
    14. Yukiko SAITO & Isamu YAMAUCHI, 2015. "Inventors' Mobility and Organizations' Productivity: Evidence from Japanese rare name inventors," Discussion papers 15128, Research Institute of Economy, Trade and Industry (RIETI).
    15. Rao, Neel, 2016. "Social effects in employer learning: An analysis of siblings," Labour Economics, Elsevier, vol. 38(C), pages 24-36.
    16. Zwick, Thomas & Frosch, Katharina & Hoisl, Karin & Harhoff, Dietmar, 2017. "The power of individual-level drivers of inventive performance," Research Policy, Elsevier, vol. 46(1), pages 121-137.
    17. Igna, Ioana A., 2018. "The effects of educational mismatch on inventor productivity. Evidence from Sweden, 2003-2010," Papers in Innovation Studies 2018/8, Lund University, CIRCLE - Centre for Innovation Research.
    18. Miwa, Norihiro & Bhatt, Ayushman & Morikawa, So & Kato, Hironori, 2022. "High-Speed rail and the knowledge economy: Evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 398-416.
    19. Carlo Giglio & Gianluca Salvatore Vocaturo & Roberto Palmieri, 2023. "Patent Acquisitions in the Healthcare Industry: An Analysis of Learning Mechanisms," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    20. Ryuichi Tamura, 2017. "The Effect of High-speed Railways on Knowledge Transfer: Evidence from Japanese Patent Citations," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 13(3), pages 325-342, November.
    21. Asmaa Elsayed Belal, 2023. "Antecedents of employee mobility: a systematic review and agenda for future research," Management Review Quarterly, Springer, vol. 73(4), pages 1795-1823, December.
    22. Carlo Giglio & Roberto Sbragia & Roberto Musmanno & Roberto Palmieri, 2021. "Cross-country learning from patents: an analysis of citations flows in innovation trajectories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7917-7936, September.
    23. Baah-Boateng, William & Twum, Eric & Twumasi Baffour, Priscilla, 2019. "“Whom you know” and labour market outcomes: An empirical investigation in Ghana," MPRA Paper 109688, University Library of Munich, Germany.

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