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Credit History: The Changing Nature of Scientific Credit

In: The Changing Frontier: Rethinking Science and Innovation Policy

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  • Joshua S. Gans
  • Fiona Murray

Abstract

This paper considers the role of the allocation of scientific credit in determining the organization of science. We examine changes in that organization and the nature of credit allocation in the past half century. Our contribution is a formal model of that organizational choice that considers scientist decisions to integrate, collaborate or publish and how credit should be allocated to foster efficient outcomes.
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Suggested Citation

  • Joshua S. Gans & Fiona Murray, 2014. "Credit History: The Changing Nature of Scientific Credit," NBER Chapters, in: The Changing Frontier: Rethinking Science and Innovation Policy, pages 107-131, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:13042
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    References listed on IDEAS

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    15. Fiona E. Murray & Scott Stern, 2007. "Do Formal Intellectual Property Rights Hinder the Free Flow of Scientific Knowledge?: An Empirical Test of the Anti-Commons Hypothesis," NBER Chapters, in: Academic Science and Entrepreneurship: Dual Engines of Growth, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    2. Saltuk Özerturk & Huseyin Yildirim, 2019. "Credit Attribution and Collaborative Work," Departmental Working Papers 1907, Southern Methodist University, Department of Economics.
    3. Na Liu & Jiancheng Guan, 2015. "Dynamic evolution of collaborative networks: evidence from nano-energy research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1895-1919, March.
    4. Joshua Gans & Fiona Murray, 2014. "Markets for Scientific Attribution," NBER Working Papers 20677, National Bureau of Economic Research, Inc.
    5. Haeussler, Carolin & Sauermann, Henry, 2020. "Division of labor in collaborative knowledge production: The role of team size and interdisciplinarity," Research Policy, Elsevier, vol. 49(6).
    6. Carolin Haeussler & Henry Sauermann, 2016. "The Division of Labor in Teams: A Conceptual Framework and Application to Collaborations in Science," NBER Working Papers 22241, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • 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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