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Automation and related technologies: a mapping of the new knowledge base

Author

Listed:
  • Enrico Santarelli

    (University of Bologna
    University of Luxembourg)

  • Jacopo Staccioli

    (Catholic University of the Sacred Heart
    Sant’Anna School of Advanced Studies)

  • Marco Vivarelli

    (Catholic University of the Sacred Heart
    UNU-MERIT
    Forschungsinstitut Zur Zukunft der Arbeit GmbH (IZA))

Abstract

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a whole and distinguishing core and related innovations, along a 4-level core-periphery architecture. Merging patent applications with the Orbis IP firm-level database allows us to put forward a twofold analysis based on industry of activity and geographic location. In a nutshell, results show that: (i) rather than representing a technological revolution, the new knowledge base is strictly linked to the previous technological paradigm; (ii) the new knowledge base is characterised by a considerable—but not impressively widespread—degree of pervasiveness; (iii) robotics and AI are strictly related, converging (particularly among the related technologies and in more recent times) and jointly shaping a new knowledge base that should be considered as a whole, rather than consisting of two separate GPTs; (iv) the US technological leadership turns out to be confirmed (although declining in relative terms in favour of Asian countries such as South Korea, China and, more recently, India).

Suggested Citation

  • Enrico Santarelli & Jacopo Staccioli & Marco Vivarelli, 2023. "Automation and related technologies: a mapping of the new knowledge base," The Journal of Technology Transfer, Springer, vol. 48(2), pages 779-813, April.
  • Handle: RePEc:kap:jtecht:v:48:y:2023:i:2:d:10.1007_s10961-021-09914-w
    DOI: 10.1007/s10961-021-09914-w
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    Cited by:

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    2. Verhoeven, Loesje & Ritzen, Jo, 2022. "Globalisation increased trust in northern and western Europe between 2002 and 2018," MERIT Working Papers 2022-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Cannavacciuolo, Lorella & Ferraro, Giovanna & Ponsiglione, Cristina & Primario, Simonetta & Quinto, Ivana, 2023. "Technological innovation-enabling industry 4.0 paradigm: A systematic literature review," Technovation, Elsevier, vol. 124(C).
    4. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Muysken, Joan & Meijers, Huub, 2022. "Globalisation and financialisation in the Netherlands, 1995 - 2020," MERIT Working Papers 2022-006, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Olena Khlystova & Yelena Kalyuzhnova, 2023. "The impact of the creative industries and digitalization on regional resilience and productive entrepreneurship," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1654-1695, October.

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    More about this item

    Keywords

    Robotics; Artificial intelligence; General purpose technology; Technological paradigm; Industry 4.0; Patents full-text;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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