Anticipating technology-driven industry convergence: evidence from large-scale patent analysis

  • Ohjin Kwon
  • , Yoonjung An
  • , Myeongjung Kim
  • , Changyong Lee*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Industry convergence has been the subject of many prior studies, yet most have focused on certain domains based on ex post evaluation. This study presents a systematic approach to anticipating technology-driven industry convergence using large-scale patent analysis covering all technology fields. Our approach includes patent co-classification analysis with the concordance between patent classes and industrial sectors to measure technological relations between industries; centrality and brokerage analysis to identify the specific roles of technology fields in industry convergence; and finally link prediction analysis to anticipate technology-driven industry convergence. A case study with the patents issued by the United States Patent and Trademark Office from 1976 to 2014 confirms that our approach provides a holistic and forward-looking perspective on technology-driven industry convergence.

Original languageEnglish
Pages (from-to)363-378
Number of pages16
JournalTechnology Analysis and Strategic Management
Volume32
Issue number4
DOIs
Publication statusPublished - 2020 Apr 2
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • centrality and brokerage analysis
  • link prediction analysis
  • patent co-classification analysis
  • Technology-driven industry convergence

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research

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