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Inventing while you work: Knowledge, non-R&D learning and innovation

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  • Lee, You-Na
  • Walsh, John P.

Abstract

“Intuition, judgment, creativity are basically expressions of capabilities for recognition and response based upon experience and knowledge (p. 128–129)” (Simon, 1997). Workers gain experience and knowledge in the course of their normal jobs. Therefore, innovative ideas can be generated from knowledge built from learning opportunities across the firm (not just the R&D lab). Employees working for different functions (R&D and outside of R&D) in an organization have different work practices and build their learning through different processes. Moreover, the relative effectiveness of learning by different work practices for innovation is contingent on the nature of knowledge, characterized by generality (i.e., high mobility/transferability) and visibility (i.e., tighter links between actions and outcomes). Using multiple datasets combining public and private data and focusing on births of innovations, this study shows how the nature of knowledge affects differences in the innovation productivity of R&D and non-R&D work. The paper concludes with a discussion of the implications of these insights for innovation management and policy.

Suggested Citation

  • Lee, You-Na & Walsh, John P., 2016. "Inventing while you work: Knowledge, non-R&D learning and innovation," Research Policy, Elsevier, vol. 45(1), pages 345-359.
  • Handle: RePEc:eee:respol:v:45:y:2016:i:1:p:345-359
    DOI: 10.1016/j.respol.2015.09.009
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    3. Yao-Su Hu, 2019. "The Impact of Increasing Returns on Knowledge and Big Data: From Adam Smith and Allyn Young to the Age of Machine Learning and Digital Platforms," SPRU Working Paper Series 2019-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Wesley M. Cohen & You-Na Lee & John P. Walsh, 2019. "How Innovative Are Innovations? A Multidimensional, Survey-Based Approach," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 139-182, National Bureau of Economic Research, Inc.
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    10. Thomä, Jörg & Zimmermann, Volker, 2019. "Non-R&D, interactive learning and economic performance: Revisiting innovation in small and medium enterprises," ifh Working Papers 17/2019, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
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    15. Khan, Zeeshan & Malik, Muhammad Yousaf & Latif, Kashmala & Jiao, Zhilun, 2020. "Heterogeneous effect of eco-innovation and human capital on renewable & non-renewable energy consumption: Disaggregate analysis for G-7 countries," Energy, Elsevier, vol. 209(C).
    16. Jun Wen & Mingbo Zheng & Gen-Fu Feng & Sunwu Winfred Chen & Chun-Ping Chang, 2018. "Corruption And Innovation: Linear And Nonlinear Investigations Of Oecd Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(01), pages 103-129, July.
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    18. Tsuji, Masatsugu & Ueki, Yasushi & Shigeno, Hidenori & Bunno, Teruyuki & Idota, Hiroki, 2018. "ICT and Two Categories of R&D in the Innovation Process among Firms in ASEAN Countries Based on Firm-level Survey Data," 29th European Regional ITS Conference, Trento 2018 184970, International Telecommunications Society (ITS).

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