A Study of Market Scale and Share Estimation Methodology on Effective Feasibility Analysis of IT R&D Program Using Fuzzy & Big Data
-
- 발행기관
- 보안공학연구지원센터(IJDTA) 바로가기
-
- 간행물
- International Journal of Database Theory and Application SCOPUS 바로가기
-
- 통권
- Vol.9 No.11 (2016.11)바로가기
-
- 페이지
- pp.13-28
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A291084
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Standardizing the various benefits and performance features of the different government R&D programs is difficult. This is largely because each of them involves a wide variety of necessary research. In order to minimize benefit distinctions—the difference in benefit between the proposal and the alternative--the OECD benefit assessment report was examined. Associated Research results and benefit distinctions from preliminary feasibility data were also used to draw benefit estimation hindrance factors. Analytic Hierarchy Process is used to identify the relative importance rank of benefit estimation hindrance factors. If Independence between benefit estimation hindrance factors fails to satisfy the evaluation criteria then, a model based on the fuzzy measure is applied. This is for drawing optimal evaluation results, In order to know the correlation between benefit distinctions and benefit estimation hindrance factors ordered digit model is utilized. The application of big data technique is used as a means to collect extensive trend data and adequately capture technology trends. In this paper, the R&D program related to Information Technology was classified into four categories (First-mover, Catch-up, Data existence). Finally a methodology for extracting a relevant market scale and a market share data is proposed.
목차
Abstract
1. Background
2. Preceding Researches and Factors Causing Benefit Distinctions
2.1. OECD Case Analysis
2.2. Existing Researches
2.3. The Case of Preliminary Feasibility Analysis
2.4. AHP and Utilization of Fuzzy Measurement
2.5. Utilizing Big Data Technique
3. Benefits Estimation Hindrance Factor Analysis Methods
3.1. Deduction of Benefits Estimation Hindrance Factors
3.2. Deduction of the Degree of Importance and Repetition of Benefits Estimation Hindrance Factors
3.3. Analysis of the Relationship between Benefits Estimation Hindrance Factors and Benefits Gap Generating Factors
4. Assessment of Market Size, Market Share Rate or the IT Department
4.1. Assessment Methods of Market Size, Market Share Rate
4.2. Utilization of Big Data
5. Application on the Improvement Plan
6. Conclusions
References
키워드
Fuzzy Measure Big Data Analytic Hierarchy Process Feasibility Analysis Market Scale and Share Estimation저자
간행물 정보
발행기관
-
- 발행기관명
- 보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
-
- 간행물명
- International Journal of Database Theory and Application
- 간기
- 격월간
- pISSN
- 2005-4270
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.9 No.11
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
0개의 논문이 장바구니에 담겼습니다.