earticle

논문검색

Development of a Big Data Capability Assessment Model

원문정보

Kyung-shik Shin, Sang-mi Chai, Hyun-jung Park, Nam-ok Jo, Shin-Ae Shin, Sung-hyun Kim

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Numerous organizations are turning to big data intelligence, expecting to elicit huge benefits from big data. A large number of them, however, are experiencing failures and struggling, not knowing where to start and where to continue. This study aims to develop a big data capability assessment model to provide these organizations with a practical guide and an evolutionary strategy for big data adoption. Significant big data capability factors were derived based on relevant capability and maturity models as well as interviews with big data experts. We devised a framework for assessing capability level, identifying weak capability types, and suggesting adequate guidelines according to evolutionary stage. Our model has been applied to five organizations in different business sectors for validation and refinement based on feedback.

목차

Abstract
1. Introduction
2. Model Development
2.1 Related Research
2.2 Model Development Method
3. Model Composition
3.1 Model Outline
3.2 Capability Factors
3.4 Capability Level Definition and Assessment Method
3.5 Weak Capability Type
3.6 Guidelines
4. Demonstration Application
4.1 Assessment Methods
4.2 Assessment Results
5. Conclusions
5.1 Implications
References

저자정보

  • Kyung-shik Shin Ewha Womans University, Business School, Seoul, Korea
  • Sang-mi Chai Ewha Womans University, Business School, Seoul, Korea
  • Hyun-jung Park Ewha Womans University, Business School, Seoul, Korea
  • Nam-ok Jo Ewha Womans University, Business School, Seoul, Korea
  • Shin-Ae Shin National Information Society Agency, Seoul, Korea
  • Sung-hyun Kim National Information Society Agency, Seoul, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.