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RISS 인기검색어
- 검색키워드
- 저자 : Letizia Mortara (검색결과 3 건)
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Deriving technology intelligence from patents: Preposition-based semantic analysis
An, Jaehyeong,Kim, Kyuwoong,Mortara, Letizia,Lee, Sungjoo Elsevier 2018 Journal of Informetrics Vol.12 No.1
<P><B>Abstract</B></P> <P>Patents are one of the most reliable sources of technology intelligence, and the true value of patent analysis stems from its capability of describing the content of technology based on the relationships between keywords. To date a number of techniques for analyzing the information contained in patent documents that focus on the relationships between keywords have been suggested. However, a drawback of the existing keyword approaches is that they cannot yet determine the types of relationships between the keywords. This study proposes a novel approach based on preposition semantic analysis network which overcomes the limitations of the existing keywords-based network analysis and demonstrates its potential through an application. A preposition is a word that defines the relationship between two neighboring words, and, in the case of patents, prepositions aid in revealing the relationships between keywords related to technologies. To demonstrate the approach, patents regarding an electric vehicle were employed. 13 prepositions were identified which could be used to define 5 relationships between neighboring technological terms: “inclusion (utilization),” “objective (purpose),” “effect,” “process,” and “likeness.” The proposed approach is expected to improve the usability of keyword-based patent analyses and support more elaborate studies on patent documents.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A proposition-based semantic analysis to develop a patent network was proposed. </LI> <LI> The approach was applied to develop a technology-relation-technology network. </LI> <LI> Patents regarding an electric vehicle were adopted as an illustrative example. </LI> <LI> The relationships of technologies were defined using 13 meaningful prepositions. </LI> <LI> Five relationships were defined: inclusion, objective, effect, process, and likeness. </LI> </UL> </P>
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The Effects of Open Innovation on Firm Performance
Joon Mo Ahn,Letizia Mortara,Tim Minshall 과학기술정책연구원 2013 STI Policy Review Vol.4 No.1
Although open innovation (OI) has been an important research theme for over a decade, its theoretical framework has been relatively under-researched. As OI involves a wide range of innovation activities, a firm’s capacities in the use of the various firm resources play a critical role in OI implementation. However, it is unclear how they affect firms’ performances for little is known of OI capacities. Based on a theoretical framework derived from the literature, this study looks into the relationships between six OI capacities (inventive, absorptive, transformative, connective, innovative, and desorptive) and financial performance using the Korean Innovation Survey (KIS) 2008 data. The research model was tested using structural equation modelling (SEM) while potential differences in capacities between different firm groups were also investigated. The results indicate that 1) OI capacities are significantly associated with firms’ financial performance; 2) capacities are highly correlated with one another; and 3) some capacities are differently configured between different types of firms. Findings suggest that policy makers should pay more attention to helping firms enhance OI capacities and attempt to develop relevant policies in order to complement inadequate capacities.
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