• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.677-696
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• 2017

Purpose: This study suggests that Six Sigma MBB should be used as a key talent to lead the fourth industrial revolution era by training them with big data processing capability. Methods: Through the analysis between articles on the fourth industrial revolution and Six Sigma related papers, common competencies of data scientists and Six Sigma MBBs were identified and the big data analysis capabilities needed for Six Sigma MBB were derived. Then, training was conducted to improve the big data analysis capabilities so that Six Sigma MBB is able to design algorithms required in the fourth industrial revolution era. Results: Six Sigma MBBs, equipped with the knowledge in field site improvement and basic statistics, were provided with 40 hours of big data analysis training and then were made to design a big data algorithm. Positive results were obtained after applying a AI algorithm which could forecast process defects in a field site. Conclusion: Six Sigma MBB equipped with big data capability will make the best talent for the fourth industrial revolution era. A Six Sigma MBB has an excellent capability for improving field sites. Utilizing the competencies of MBB can be a key to success in the fourth industrial revolution. We hope that the results of this study will be shared with many companies and many more improved case studies will arise in the future as a result of this study.

• Asian Journal of Innovation and Policy
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• v.6 no.3
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• pp.262-273
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• 2017

Recently, the attention to the $4^{th}$ Industrial Revolution has been increasing. In the $4^{th}$ Industrial Revolution era, the boundaries between physical space, digital space, and biological space are becoming blurred because of the active convergence between various fields. There are many issues about the $4^{th}$ Industrial Revolution such as artificial intelligence, Internet of things, big data, and cyber physical system. To cope with the $4^{th}$ Industrial Revolution, an accurate analysis and technology planning need to be undertaken from a broad point of view. However, there is little research on the analysis of the major issues about the 4th Industrial Revolution. Accordingly, this study aims to analyse these major issues. Data mining such as topic modelling method is used for this analysis. This study is expected to be helpful for the researcher and policy maker of the 4th Industrial Revolution.

• The Journal of Bigdata
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• v.3 no.1
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• pp.41-46
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• 2018

With the advent of the fourth industrial revolution, data becomes very important resource. Now is called as 'Data Revolution Age.' It is said that Data Revolution Age started with Big Data, then accelerated with Open Data, finally completed with My Data. In this paper, we compared Big Data, Open Data, and suggested roles and effects of My Data as a digital resource.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1321-1321
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• 2017

Recently the attention to the 4th industrial revolution has been increasing. In the 4th industrial revolution era, the boundaries of physical space, digital space, and biological space are becoming blurred since the active convergence between various fields There are a lot of issues on the 4th industrial revolution such as artificial intelligence, internet of thing, big data, and cyber physical system. Accordingly, this study aims to analyse the main issues of the 4th industrial revolution. Data mining such as topic modelling method is used for the analysis. This study is expected to be helpful for the researcher and policy maker of the 4th industrial revolution.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.185-192
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• 2019

This study is to explore the relationship between the Fourth Industrial Revolution and the environment using the big data methodology. We scrutinize the trend of the Fourth Industrial revolution, in association with the environment, and provide implications for a more desirable future environmental policy. The results show that the Industrial Revolution has been generally perceived as negative to environment before the 2010s, while it has been widely regarded as positive after the period. It is highly expected that the Fourth Industrial Revolution will be capable of functioning as a new alternative to enhance the quality of the biophysical and social environment. This study justifies that the new wave of technological development may serve as a cure for the enhancement of the environmental quality. The positive linkage between the new technological development and the environment from this study clearly indicates that the environmental industry and environmental technologies will be key economic factors in the next-generation society. They should be of critical importance in shaping our cities into clearer and greener spaces, and people will continuously depend on the development of new environmental technologies in order to correct environmental damages.

• Convergence Security Journal
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• v.20 no.3
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• pp.109-114
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• 2020

Currently, in the 4th industrial revolution era(4IR), the convergent infrastructure has been established by actively utilizing data based on the existing digital technological innovation in the 3rd industrial revolution. Thus, the technological innovation based on the knowledge-information society needs to put innovative efforts for creating new business models in various areas. Thus, this study aims to present an Electronic Security Framework by suggesting the Cyber-Physical Security System(CPSS) that could more accurately predict and efficiently utilize it based on structured data obtained by collecting, analyzing, and processing an enormous amount of unstructured data which is a core technology distinguished from the 3rd industrial revolution.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.11
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• pp.367-376
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• 2020

The fourth industrial revolution will greatly contribute to the entry of objects into an intelligent society through technologies such as big data and an artificial intelligence. Through the revolution, we were able to understand human behavior and awareness, and through the use of an artificial intelligence, we established ourselves as a key tool in various fields such as medicine and science. However, the fourth industrial revolution has a negative side with a positive future. In this study, an analysis was conducted using text mining techniques based on unstructured big data collected through social media. We wanted to look at keywords related to the fourth industrial revolution by year (2016, 2017 and 2018) and understand the meaning of each keyword. In addition, we understood how the keywords related to the Fourth Industrial Revolution changed with the change of the year and wanted to use R to conduct a Keyword Analysis to identify the recognition flow closely related to the Fourth Industrial Revolution through the keyword flow associated with the Fourth Industrial Revolution. Finally, people's perceptions of the fourth industrial revolution were identified by looking at the positive and negative feelings related to the fourth industrial revolution by year. The analysis showed that negative opinions were declining year after year, with more positive outlook and future.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.1-10
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• 2017

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

• Journal of Science and Technology Studies
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• v.17 no.2
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• pp.41-79
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• 2017

The fourth industrial revolution, which is all the rage in recent years in South Korea, comes from Klaus Schwab's book. Schwab claims that recent rapid technological innovation has inevitably determined the future of our society, and regulations on related policies need to be relaxed. The debate on the Fourth Industrial Revolution in the Korean society is also centered on deregulation policies. In particular, it is strongly argued that personal data protection regulation should be relaxed in a big data environments. The Science and technology studies has long criticized technological determinism. The future of technology can be changed by the will of regulatory authorities and the intervention of civil society. In this article, the author examines various discussions at home and abroad around the deregulation of data protection, including de-identification of personal data. Through this, the author criticizes the way of accepting the fourth industrial revolution theory, and draw its implications for the Korean society.

• World Technopolis Review
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• v.6 no.2
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• pp.90-101
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• 2017

This paper defines the role of the Science Park and makes policy recommendations for the "Era of $4^{th}$ Industrial Revolution" from a Triple Helix viewpoint. The role of traditional science parks, and theory of Triple Helix and the $4^{th}$ Industrial Revolution are reviewed, and strategies to cope with the $4^{th}$ Industrial Revolution in a few advanced countries are analyzed. This paper finishes by suggesting strategies such as acceleration of networking, education to foster creative and innovative manpower and initiating capacity building projects for the advancement of Science Parks in the $4^{th}$ Industrial Revolution.