Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, Jiwon | - |
dc.contributor.author | Hwang, Jong-Gyu | - |
dc.contributor.author | Hwang, Jumi | - |
dc.contributor.author | Jun, Sung Chan | - |
dc.contributor.author | Kang, Sumin | - |
dc.contributor.author | Lee, Chulung | - |
dc.contributor.author | Kim, Hyundong | - |
dc.date.accessioned | 2021-08-30T09:47:04Z | - |
dc.date.available | 2021-08-30T09:47:04Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-11 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/52027 | - |
dc.description.abstract | With the development of the online platforms and the Internet of Things (IoT), various transportation services have been provided, and the lifestyle of the general public has changed significantly. However, the speed of development of technologies and services for the mobility handicapped has been relatively slow. Accordingly, in this paper, the smart mobility patent data for the mobility handicapped is subdivided through clustering to derive the mobility handicapped-related vacant technologies, and the prospect of the vacant technology is verified. For each cluster, a technology level map is generated in consideration of the technology growth level and the scope of authority of the vacant technology derived through the generative topographic map (GTM) patent map, and the level of the vacant technology is checked in terms of quantity and quality. Both indicators perform time series analyses on superior technology to predict technology trends and determine the technology's promisingness. Unlike the precedent studies that focused only on quantitative analysis methods, this paper identified the usefulness of the technology through clustering and various verification processes and materialized it as a vacant technology that is applicable to actual R&D. Accordingly, through this empirical paper, it is possible to understand the current level of vacant technology in smart mobility for the mobility handicapped and establish an R&D strategy to prevent monopoly in technology in the future market and maintain competitiveness. It can also be utilized for new technology development in consideration of convergence with currently developed technology. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | SELF-ORGANIZING MAPS | - |
dc.subject | QUALITY ANALYSIS | - |
dc.subject | SYSTEMS | - |
dc.subject | TRENDS | - |
dc.title | Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Chulung | - |
dc.identifier.doi | 10.3390/su12229310 | - |
dc.identifier.scopusid | 2-s2.0-85095939507 | - |
dc.identifier.wosid | 000594592900001 | - |
dc.identifier.bibliographicCitation | SUSTAINABILITY, v.12, no.22 | - |
dc.relation.isPartOf | SUSTAINABILITY | - |
dc.citation.title | SUSTAINABILITY | - |
dc.citation.volume | 12 | - |
dc.citation.number | 22 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.subject.keywordPlus | SELF-ORGANIZING MAPS | - |
dc.subject.keywordPlus | QUALITY ANALYSIS | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | TRENDS | - |
dc.subject.keywordAuthor | smart mobility | - |
dc.subject.keywordAuthor | patent analysis | - |
dc.subject.keywordAuthor | vacant technologies | - |
dc.subject.keywordAuthor | mobility impairment | - |
dc.subject.keywordAuthor | promising technologies | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.