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Collaborative Knowledge Creation: Evidence from Japanese patent data

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  • MORI Tomoya
  • SAKAGUCHI Shosei

Abstract

In this paper, we quantitatively characterize the mechanism of collaborative knowledge creation at the individual researcher level a la Berliant and Fujita (2008) by using Japanese patent data. The key driver for developing new ideas is found to be the exchange of differentiated knowledge among collaborators. To stay creative, inventors seek opportunities to shift their technological expertise to unexplored niches by utilizing the differentiated knowledge of new collaborators in addition to their own stock of knowledge. In particular, while collaborators' differentiated knowledge raises the average cited count, average (technological) novelty, and the quantity of patents for which an inventor contributes to the development, it has the largest impact on the average novelty among the three.

Suggested Citation

  • MORI Tomoya & SAKAGUCHI Shosei, 2018. "Collaborative Knowledge Creation: Evidence from Japanese patent data," Discussion papers 18068, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:18068
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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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