Earticle

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

키워드

저자

• Kyung-shik Shin [ Ewha Womans University, Business School, Seoul, Korea ] Main Author
• 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 ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  정보화연구 [정보화연구(구 정보기술아키텍처연구)]

• 간기

  계간

• pISSN

  1738-382X

• 수록기간

  2004~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658