download0 view541
twitter facebook

공공누리This item is licensed Korea Open Government License

Title
Collective Intelligence: An Emerging World in Open Innovation
Author(s)
윤진효정의섭함성덕조효비김경훈
Publisher
Molecular Diversity Preservation International
Publication Year
2019-08-19
Abstract
Responding to the lack of empirical research on the effect of collective intelligence on open innovation in the fourth industrial revolution, we examined the relationship between collective intelligence and open innovation. Collective intelligence or crowd innovation not only produces creative ideas or inventions, but also moderates any firm to innovate inside-out, outside-in, or in a coupled manner. We asked the following research questions: Does collective intelligence (or crowd innovation) motivate open innovation? Is there any difference in the effect of collective intelligence on open innovation by industry? These research questions led to the following three hypotheses: (1) Collective intelligence increases the performance of a firm, (2) collective intelligence will moderate the effect of open innovation, and (3) differences exist between the automotive industry and the pharmaceutical industry in these two effects. To empirically examine these three hypotheses, we analyzed the registered patents of these two industries from 2000 to 2014 over a 15-year period. These automotive and pharmaceutical patents were registered in the B60 category and the A61K category of the Korea Patent office, respectively. Collective intelligence was measured by co-invention. We found differences in the effects of collective intelligence on open innovation between the two industries. In the automotive industry, collective intelligence not only directly increased the performance, but also indirectly moderated the open innovation effect. However, this was not the case for the pharmaceutical industry.
Keyword
집단지능; 개방혁신; 중재효과; 자동차산업; 제약산업; collective intelligence; open innovation; moderating effect; automotive industry; pharmaceutical industry
Journal Title
Sustainability;
Citation Volume
11
ISSN
2071-1050
DOI
10.3390/su11164495
Files in This Item:
There are no files associated with this item.
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/16345
Fulltext
 https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=NART108756250
Export
RIS (EndNote)
XLS (Excel)
XML

Browse