Information technology is one of the most important factors that have been impacting the development of forestry construction, with forest farmers playing an increasingly crucialrole in promotion of information technology. Survey data in this paper, collected from Yongan County and Youxi County in Fujian Province, usescombinedRough Set Theory (RST) andSupport Vector Machine (SVM), applied for reduction of influential factors of information technology adoption behavior of forestry farmers. The result shows factors, i.e.age, education, highest degree of the family, average annual income, forestland area, average annual income of forestland, status of fixed phone, average spending on mobile phone per month, status of cable TV and connection to the Internet, are of key influential in forestry farmers’ decision of information technology adoption.
목차
Abstract 1. Introduction 2. Forestry Research Status 3. Methodology 4. Data Analysis 4.1 Variable selection 4.2 Building information system 4.3 Data completion 4.4 Data discretization 4.5 Data reduction and results 5. Validation of the data 6. Summary and Conclusions Acknowledgements References
키워드
Influential factorsinformation technology adoptionrough set theorysupport vector machine
저자
Jinyu Yu [ School of Economics and Management, Beijing Forestry University, Beijing 100083, China ]
Ning Ma [ School of Economics and Management, Beijing Forestry University, Beijing 100083, China ]
Corresponding Author
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
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 Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.7 No.1