Scientific knowledge integration in R&D and innovation performance연구개발에서의 과학적 지식융합이 혁신성과에 미치는 영향

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 393
  • Download : 0
In the transition from a labor-intensive and production-based economy to a knowledge-based economy, the importance of knowledge has been emphasized to sustain competitive advantage. As a result of this emphasis, the total amount of knowledge has increased the so called “Burden of knowledge.” This phenomenon requires leads collaborative research to overcome the burden of learning when attempting innovation. Accordingly, the boundary of existing technology and knowledge is expanded, that is, collaborative research is accompanied by the phenomenon of "knowledge integration." In order to cope with this new paradigm shift, it is necessary to study innovation strategy appropriately. Therefore, this study aims to examine the research and development (R&D) activities of government research institutes and firms that are major innovation actors from the perspective of scientific knowledge. Through that, this study examines the effect of knowledge integration on innovation performance. This study focuses on the following two questions. First, how has interdisciplinary research developed in terms of science and technology and how does it affect performance at the government research institute level? Second, how does the degree of interaction between science and technology affect a firm’s performance? In order to answer the first question, this study collected data from collaborative research patent papers by 13 research institutes located in Daedeok Innopolis, written between 1992 and 2012, and analyzed the co-authors and co-assignee networks. Through this process, the interdisciplinary research (IDR) map of Daedeok Innopolis was ascertained identified and the structural position of IDR was identified. In addition, this study analyzed the difference in innovation performance through non - parametric statistical analysis according to structural position on the IDR map, and found that there is a significant difference. The suggestion of this study is that it is necessary to take into consideration the unique characteristics of each participant when proposing a policy to activate IDR. In order to answer the second question, this study collected the financial information, papers, and patent information of 637 manufacturing companies registered on the Korean Securities Dealers Automated Quotations (KOSDAQ) during 2005 ~ 2014. This study measured inventor-author overlap to understand the interaction between science and technology at the research level and topic level. As a result, researchers who have published both scientific papers and patents have a positive effect on market performance but a negative effect on innovation performance. The topic relatedness between science and technology has a negative effect on market performance but a positive effect on innovation performance. This is because the role of scientific knowledge is useful when it has direct input into technological innovation, while it is possible for researchers who perform both scientific and technological work to transfer tacit and complex knowledge. This has a positive effect on a firm’s market performance. This result shows that it is necessary to clarify goals when organizing investment or R&D and to establish an R&D strategy and investment plan as well.
Advisors
Kim, Wonjoonresearcher김원준researcher
Description
한국과학기술원 :기술경영학부,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 기술경영학부, 2018.2,[iv, 57 p. :]

Keywords

Scientific knowledge integration▼aInnovation performance▼aInteraction between science and technology▼aInterdisciplinary research▼aInnovation strategy; 과학적 지식융합▼a혁신성과▼a과학·기술 상호작용▼a학제간 연구▼a혁신전략▼a융합연구

URI
http://hdl.handle.net/10203/264589
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=867879&flag=dissertation
Appears in Collection
MG-Theses_Ph.D.(박사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0