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Patent data based search framework for IT R&D employees for convergence technology

Author

Listed:
  • Jong Wook Lee

    (Yonsei University)

  • So Young Sohn

    (Yonsei University)

Abstract

As technology convergence is attracting increasing attention, many companies pay attention to human resources planning for the convergence R&D. This study proposes a patent-based R&D employee search framework for the firms planning to develop convergence technologies. We apply this framework to an automobile company searching patent inventors in the Information and Communication Technology (ICT) field, reflecting the future convergence trends in self-driving vehicles. ICT patent inventors were evaluated based on their ICT patents scored in three steps. First, the importance of the ICT areas they cover is considered in terms of International Patent Classification code by taking into account the converge potential with the focal firm’s technologies in the future. Second, the feasibility of convergence with the ICT technologies that the focal firm wants to cover is assessed. Finally, various inherent values of ICT patent are considered. The proposed framework is expected to improve the efficiency of the process of spotting candidates for convergence R&D.

Suggested Citation

  • Jong Wook Lee & So Young Sohn, 2021. "Patent data based search framework for IT R&D employees for convergence technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5687-5705, July.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-04011-z
    DOI: 10.1007/s11192-021-04011-z
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    References listed on IDEAS

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    Cited by:

    1. Shicheng Tan & Tao Zhang & Shu Zhao & Yanping Zhang, 2023. "Self-supervised scientific document recommendation based on contrastive learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5027-5049, September.

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    More about this item

    Keywords

    R&D manpower search; Technology convergence; Patent scoring; Doc2vec;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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