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000048565 0247_ $$2doi$$a10.1016/j.wpi.2023.102176
000048565 035__ $$a(OCoLC)1411269606
000048565 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL
000048565 041__ $$aeng
000048565 24502 $$aA multi-criteria decision framework for IP valuation method selection :$$b“Valuation case” matters.
000048565 264_1 $$aOxford [England] :$$bElsevier Ltd.,$$c2023
000048565 300__ $$a1 volume.
000048565 336__ $$atext$$2rdacontent
000048565 337__ $$acomputer$$2rdamedia
000048565 338__ $$aonline resource$$bcr$$2rdacarrier
000048565 4901_ $$aWorld Patent Information ;$$v73, June, 2023
000048565 520__ $$aThis paper explores the applicability of IP (Intellectual Property) valuation methods in the university TTOs context by using multi-criteria decision-making frameworks. The IP valuation methods are evaluated for their usage in university IP and Startup valuation, patent or patent-pending technologies, and different Technology Readiness Levels (TRLs). Data was collected through in-depth structured interviews and a Delphi survey with 17 experts. By descriptive analysis of responses and consensus rates, we proposed a combined multi-criteria decision-making model of Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for university Technology Transfer Offices (TTOs) to be utilized in selecting appropriate IP Valuation methods. Findings reveal that more than one method should be used to make well-supported estimates for patent value. DCF method is the most suggested method. Income methods are most favourable on University IP, Startup's IP, non–patented or patent-pending, TRL 1–6 technologies. Findings can help valuation practitioners, especially from TTOs, design roadmaps for IP valuation.
000048565 542__ $$fhttps://www.sciencedirect.com/science/article/abs/pii/S0172219023000108
000048565 588__ $$aCrossref
000048565 590__ $$aPublished online: 28-Feb-23
000048565 650_0 $$aTechnological innovations.
000048565 650_0 $$aIntellectual property.
000048565 650_0 $$aPatents.
000048565 650_0 $$aCopyright.
000048565 7001_ $$aKoc, Aysun Beyazkilic,$$eauthor.
000048565 7001_ $$aYildirim, Nihan,$$eauthor.
000048565 7730_ $$tWorld Patent Information$$wWPI
000048565 830_0 $$aWorld Patent Information ;$$v73, June, 2023.
000048565 85641 $$uhttps://doi.org/10.1016/j.wpi.2023.102176$$yonline version
000048565 904__ $$aArticle
000048565 980__ $$aWPI