Exploring Promising Technology in ICT Sector Using Patent Network and Promising Index Based on Patent Information

Inchae Park, Gwangman Park, Byungun Yoon, Soonju Koh

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This research proposes the use of a patent analysis methodology that can suggest promising technology in the ICT sector at the micro-level. This approach identifies core patents from the technology field, groups them as research frontiers (RFs), and develops a visualized network based on the citing relationships to monitor the relationship among RFs. In addition, it calculates a "promising index" based on the growth potential, impact, and marketability of patents to ultimately derive promising RFs. To illustrate the proposed approach, this research presents analysis results for a chosen area, which is the user interface and user experience (UI/UX) technology field. By proposing promising technological fields at the micro-level, the proposed methodology will serve as a useful decisionmaking support tool in selecting R&D projects, technology planning, and determining technology policy direction.

Original languageEnglish
Pages (from-to)405-415
Number of pages11
JournalETRI Journal
Volume38
Issue number2
DOIs
StatePublished - Apr 2016

Keywords

  • Patent analysis
  • Patent network
  • Promising index
  • Promising technology

Fingerprint

Dive into the research topics of 'Exploring Promising Technology in ICT Sector Using Patent Network and Promising Index Based on Patent Information'. Together they form a unique fingerprint.

Cite this