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 language | English |
|---|---|
| Pages (from-to) | 363-378 |
| Number of pages | 16 |
| Journal | Technology Analysis and Strategic Management |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2020 Apr 2 |
| Externally published | Yes |
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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