메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
정용균 (강원대학교)
저널정보
한중사회과학학회 한중사회과학연구 한중사회과학연구 제18권 제1호
발행연도
2020.1
수록면
171 - 198 (28page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Reverse Innovation has been a newly emerging concept of innovation for last ten years. It implies that new technology or new knowledge flows from low income countries to high income countries. This concept of reverse innovation contradicts the conventional wisdom of innovation paradigm. The conventional wisdom implies that most of technological innovation has been created within research centers located at advanced countries. Our contribution is that this paper suggests an innovation- diffusion model of reverse innovation. We divide total diffusion of reverse innovation into four sub-parts: first, identification of the problem, second, innovation in low income country, third, innovation transfer from low income country to high income country, and fourth, innovation and diffusion in high income country. We also implements a case study of China in the area of reverse innovation. Our finding show that eleven cases of reverse innovation are identified in China. Accordingly, we conclude that China is one of the Emerging Market(EM) that implements a reverse innovation. One of implications of this study is that it is necessary to intensify cooperation between high income country and low income country, since executives of headquarter of multi-national corporation(MNC) located at high income countries need to understand cultures of low income country to sell their products to low income countries. At the same time, low income country needs to cooperate with the headquarter of multi-national corporation(MNC) in high income country in order to re-export their frugal products to high income countries.

목차

등록된 정보가 없습니다.

참고문헌 (49)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0