Ik Hoon Jang, Sung Hee Park, So Hyun Kim, Young Chan Choe, Srinivas Nowduri Ph.D.
언어
영어(ENG)
URL
https://www.earticle.net/Article/A230694
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
Korean pig farms face challenges from free trade environment. Many farms have adopted Information System to improve the productivity on the farm. This study applies statistical analysis to verify the productivity gain and its determinants by using information system on the pig farm. Using the farm level weekly data from the PigPlan from 2006 to 2012, we find productivity gain on the farm increases gradually after adoption of the IS on the farm. We also find time of IS usage, the size of farm, farrowing rate, and total piglet per litter link to the productivity gains.
목차
Abstract 1. Introduction 2. Korean Pig Sector 3. Literature Review 4. Date and Methods 4.1. Data 4.2. Decision tree Analysis 5. Results 5.1. Multi Regression Analysis 5.2. Results of decision making tree analysis 5.3. The Effects of Influence Factors 6. Conclusion and Limitations Acknowledgments References
Ik Hoon Jang [ Dept. of Agricultural Economics and Rural Development, Seoul National University ]
First author
Srinivas Nowduri Ph.D. [ Associative Professor and Chairman Department of Information Technology & Computer Science, American University of Afghanistan, Darul Aman Road, Kabul, Afghanistan ]
Sung Hee Park [ Dept. of Agricultural Economics and Rural Development, Seoul National University ]
So Hyun Kim [ Dept. of Agricultural Economics and Rural Development, Seoul National University ]
Young Chan Choe [ Dept. of Agricultural Economics and Rural Development, Seoul National University ]
Corresponding author
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
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 Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.8 No.8