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Cross-country learning from patents: an analysis of citations flows in innovation trajectories

Author

Listed:
  • Carlo Giglio

    (Mediterranean University of Reggio Calabria)

  • Roberto Sbragia

    (University of São Paulo)

  • Roberto Musmanno

    (University of Calabria, Via Pietro Bucci)

  • Roberto Palmieri

    (University of Calabria, Via Pietro Bucci)

Abstract

This study proposes a methodological approach to investigate cross-country creativity/knowledge flows by analyzing patent citation networks, taking the aircraft, aviation and cosmonautics (AAC) industry as a case study. It aims at shedding some light on the following research questions: (a) how cross-country creative/learning flows can be investigated; (b) have countries of current patent owners benefited from patent acquisitions. In fact, despite the well-established economic interest for (analyzing and forecasting) innovation trajectories, this research area is still unexplored, thus, motivating the need for such study. Over 43,000,000 patents have been analyzed whereby: (a) owners have performed cross-country patent acquisitions; (b) acquired patents (granted within 2005–2009) are cited by subsequent patents (2010–2015). Methodology and results are scalable to other industries and can be exploited by managers and policy makers to: (a) help firms forecasting innovation trajectories; (b) support governments in designing/implementing measures nurturing patented innovations in industries deemed relevant to national interest.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:9:d:10.1007_s11192-021-04094-8
    DOI: 10.1007/s11192-021-04094-8
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    2. 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.

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