[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7236/IJIBC.2020.12.4.204

A Study on Socio-technical System for Sustainability of the 4th Industrial Revolution: Machine Learning-based Analysis

Lee, Jee Young (Graduate School of Information, Yonsei University)

Publication Information

International Journal of Internet, Broadcasting and Communication / v.12, no.4, 2020 , pp. 204-211 More about this Journal

Abstract

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.

Keywords

Socio-technical System; The fourth industrial revolution; Co-occurrence keywords networks; Structural topic model;

Citations & Related Records

Times Cited By KSCI : 4 (Citation Analysis)

Reference
Cited By KSCI

1	J. Lee, "A Study on Research Trend Analysis and Topic Class Prediction of Digital Transformation using Text Mining," International journal of advanced smart convergence, vol. 8, no. 2, pp. 183-190, 2019. DOI: https://doi.org/10.7236/IJASC.2019.8.2.183 DOI
2	J. Y. Lee, "A Study on Agile Transformation in the New Digital Age," International Journal of Advanced Culture Technology, vol. 8, no. 1, pp. 82-88, 2020 DOI: https://doi.org/10.17703/IJACT.2020.8.1.82 DOI
3	L. D. Xu, E. L. Xu, L. Li, "Industry 4.0: state of the art and future trends," International Journal of Production Research, vol. 56, no. 8, pp. 2941-2962, 2018. DOI: https://doi.org/10.1080/00207543.2018.1444806 DOI
4	R. Davies, T. Coole, A. Smith, "Review of socio-technical considerations to ensure successful implementation of Industry 4.0," in 7th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, pp. 1288-1295, June 27-30, 2017. DOI: https://doi.org/10.1016/j.promfg.2017.07.256
5	N. Zhao, J. Bao, N. Chen, "Ranking Influential Nodes in Complex Networks with Information Entropy Method," Complexity, vol. 2020, June 2020. DOI: https://doi.org/10.1155/2020/5903798 DOI
6	G. H. Walker, N. A. Stanton, P. M. Salmon, et al., "A review of sociotechnical systems theory: a classic concept for new command and control paradigms," Theoretical issues in ergonomics science, vol. 9, no. 6, pp. 479-499, 2018. DOI: https://doi.org/10.1080/14639220701635470 DOI
7	K. Eason, "Local sociotechnical system development in the NHS National Programme for Information Technology," Journal of Information Technology, vol. 22, no. 3, pp. 257-264, 2007. DOI: https://doi.org/10.1057/palgrave.jit.2000101 DOI
8	G. Baxter, I. Sommerville, "Socio-technical systems: From design methods to systems engineering," Interacting with computers, vol. 23, no. 1, pp. 4-17, 2011. DOI: https://doi.org/10.1016/j.intcom.2010.07.003 DOI
9	N. J. Van Eck, L. Waltman, "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, vol. 84, no. 2, pp. 523-538, 2010. DOI: https://doi.org/10.1007/s11192-009-0146-3 DOI
10	N. J. v. Eck, L. Waltman, "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, vol. 60, no. 8, pp. 1635-1651, 2009. DOI: https://doi.org/10.1002/asi.21075 DOI
11	N. J. Van Eck, L. Waltman, "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, vol. 111, no. 2, pp. 1053-1070, 2017. DOI: https://doi.org/10.1007/s11192-017-2300-7 DOI
12	M. E. Roberts, B. M. Stewart, D. Tingley, "stm: R package for structural topic models," Journal of Statistical Software, vol. 10, no. 2, pp. 1-40, 2014. DOI: https://doi.org/10.18637/jss.v091.i02
13	M. E. Roberts, B. M. Stewart, D. Tingley, et al., "The structural topic model and applied social science," in Advances in neural information processing systems workshop on topic models: computation, application, and evaluation, Harrahs and Harveys, Lake Tahoe, 2013.