Earticle

초록

영어

The era of the 4th industrial revolution is a complex environment in which the cyber world and the physical world are integrated and interacted. In order to successfully implement and be sustainable the 4th industrial revolution of hyper-connectivity, hyper-convergence, and hyper-intelligence, not only the technological aspects that implemented digitalization but also the social aspects must be recognized and dealt with as important. There are socio-technical systems and socio-technical systems theory as concepts that describe systems involving complex interactions between the environmental aspects of human, mechanical and tissue systems. This study confirmed how the Socio-technical System was applied in the research literature for the last 10 years through machine learning-based analysis. Eight clusters were derived by performing co-occurrence keywords network analysis, and 13 research topics were derived and analyzed by performing a structural topic model. This study provides consensus and insight on the social and technological perspectives necessary for the sustainability of the 4th industrial revolution.

목차

Abstract
1. Introduction
2. Research methods
2.1. Co-occurrence keywords network analysis
2.2. Analysis of research topics related to socio-technical system
3. Results and discussion
3.1. Results and discussion on co-occurrence keywords network analysis
3.2. Results and discussion on analysis of research topics related to socio-technical system
3.3. STM based topic trend estimation
4. Conclusion
References

키워드

저자

• Jee Young Lee [ Senior Researcher, Graduate School of Information, Yonsei University, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380