pom·2017년 12월 30일
Big Data Analytics for Rapid, Impactful, Sustained, and Efficient (RISE) Humanitarian Operations
Production and Operations Management
69
피인용
8.2
FWCI
19
IS/마케팅/OM 탑저널 피인용
20
IS/마케팅/OM 탑저널 참고문헌
- 주제디지털혁신과 정보시스템 · 디지털조직
- 방법
- 현상
01Abstract
There has been a significant increase in the scale and scope of humanitarian efforts over the last decade. Humanitarian operations need to be—rapid, impactful, sustained, and efficient (RISE). Big data offers many opportunities to enable RISE humanitarian operations. In this study, we introduce the role of big data in humanitarian settings and discuss data streams which could be utilized to develop descriptive, prescriptive, and predictive models to significantly impact the lives of people in need.
02연구 흐름
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03비슷한 논문
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04이후 연구
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05선행 연구
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06서지 정보
- 저널Production and Operations Management · 27(9) · 1696–1700
- 토픽Facility Location and Emergency Management · Organizational Behavior and Human Resource Management
- DOI10.1111/poms.12840
- 저자Jayashankar M. Swaminathan