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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Marina V. Vasiljeva (Atlantic Science and Technology Academic Press) Vadim V. Ponkratov (Financial University under the Government of the Russian Federation) Nikolay V. Kuznetsov (State University of Management) Maksim S. Maramygin (Ural State University of Economics) Irina V. Osinovskaya (Tyumen Industrial University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.18 No.4
발행연도
2019.12
수록면
859 - 871 (13page)
DOI
10.7232/iems.2019.18.4.859

이용수

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

초록· 키워드

오류제보하기
This paper reports a methodological approach to quantitatively assess the effectiveness of the Blue Ocean Strategy in the Russian steel market that makes the competition irrelevant. Based on the simulation method, qualitative and quantitative dependencies are determined between firm economic performance and the implementation of the Blue Ocean, Red Ocean, and Monopoly strategies. It is shown by the example of the Russian steel market that Blue Ocean Strategy enables to get a significantly higher level of profit for the enterprise as compared to the implementation of the Red Ocean Strategy, even in a monopolistic market. This is provided by creating innovative value, manifested in the minimization of social losses in the market, ensuring the possibility of establishing a higher market value while reducing production costs. The results of the paper may serve as an aid to the effective development of small and medium-sized businesses by providing a sound quantitative framework to quantify the value of innovation. This article gives an insight into how firms can create blue oceans of uncontested market space to prosper in the future, providing an opportunity to evaluate the effectiveness of the chosen strategy to minimize risks.

목차

ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. MATERIALS AND METHODS
4. DATA
5. RESULTS
6. DISCUSSION
7. CONCLUSIONS
REFERENCES

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