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DC Field | Value | Language |
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dc.citation.endPage | 1825 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1813 | - |
dc.citation.title | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT | - |
dc.citation.volume | 68 | - |
dc.contributor.author | Kim, Young-Choon | - |
dc.contributor.author | Ahn, Joon Mo | - |
dc.contributor.author | Kwon, Ohjin | - |
dc.contributor.author | Lee, Changyong | - |
dc.date.accessioned | 2023-12-21T15:06:50Z | - |
dc.date.available | 2023-12-21T15:06:50Z | - |
dc.date.created | 2019-09-27 | - |
dc.date.issued | 2021-12 | - |
dc.description.abstract | Experts have difficulty assessing the economic value of university-originated technologies due to the high level of uncertainty associated with the commercialization of early stage and basic technologies. This article proposes a random forest approach to the valuation of university-originated technologies that integrates monetary value and patent value models for technology valuation. First, a technological characteristics-value matrix was constructed after defining a total of 23 indicators from the U.S. Patent and Trademark and Scopus databases and extracting the value of university-originated technologies from technology transaction databases. Second, a random forest model, an ensemble machine learning model based on a multitude of decision trees, was employed to assess the economic value of university-originated technologies. Finally, the performance of our approach was assessed using quantitative metrics. A case study of the technologies registered in the Office of Technology Licensing of Stanford University confirms, with statistically significant outcomes, that our method is valuable as a complementary tool for the valuation of university-originated technologies. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, v.68, no.6, pp.1813 - 1825 | - |
dc.identifier.doi | 10.1109/TEM.2019.2938182 | - |
dc.identifier.issn | 0018-9391 | - |
dc.identifier.scopusid | 2-s2.0-85072535339 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/27784 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8844800 | - |
dc.identifier.wosid | 000688231300026 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Valuation of University-Originated Technologies: A Predictive Analytics Approach | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | BusinessEngineering, IndustrialManagement | - |
dc.relation.journalResearchArea | Business & EconomicsEngineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Cost accountingPatentsBiological system modelingEconomicsTechnological innovationCommercializationLicensesPatent databasespublication databasesrandom foresttechnology transaction databasestechnology valuationuniversity-originated technologies | - |
dc.subject.keywordPlus | RANDOM FORESTSINDICATORSCOMMERCIALIZATIONCLASSIFICATIONPERFORMANCEDYNAMICSPATENTS | - |
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