• Journal of the Korean Society of Safety
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• v.34 no.1
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• pp.76-81
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• 2019

In this study, the causes of human error were identified through the survey of the drivers of the three organizations: Seoul Metro, Seoul Metropolitan Rapid Transit Corporation, and Korail. It was started with the aim of finding and eliciting causes in various directions including human factors, job factors, and environmental factors. The Cronbach alpha value was 0.95 for the reliability significance of the stress-induced factors in the operational area. The significance probability for organisational factors was shown to be 0.82, and the significance of the sub-accident experience and the driving skill factors in operation was 0.81 In addition, the analysis results showed that stress-induced in the field of driving is higher than the human factors in the reliability analysis. The results of the analysis confirmed that the reliability of the organizational and operational stress-induced factors was higher than other causes. In order to reduce urban railroad accidents, this paper suggests a method for operating safe urban railroad through the minimization human errors.

• Journal of Korean Public Health Nursing
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• v.33 no.1
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• pp.47-58
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• 2019

Purpose: Regarding the rapid growth of the obesity in Korea's youths, environmental factors as well as biological tendencies have been major focus of years of study. Methods: This study, as a secondary analysis research, bases its source upon the raw data from the 13th on-line survey of the Korean adolescents' health behaviors. In particular, it is a descriptive research for clarifying the relevance of the Korean youths' smart phone use with their health behaviors and obesity. Results: In logistic analysis, variables showing a significant difference are as follows: soft drinks frequency(p<.001), sweet drinks intake frequency(p<.001), fast food intake frequency(p<.001) and smoking status (p=.005). Based on the amount of time the teenagers using smart phones, there have been different results in the risk of obesity. Four to six hours a week of smart phone use (p=.002) has a 1.132 times higher risk, six to eight hours(p<.001) are 1.212 times higher, over eight hours(p=.020) are 1.132 times higher, than less than two hours'. Conclusion: This study has significance in that it has emphasized the new lifestyle, teenagers' smart phone use, as an additional important factor for the increased risk of obesity.

• Journal of Distribution Science
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• v.20 no.12
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• pp.89-98
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• 2022

Purpose: Due to the rapid growth of e-commerce in Thailand, the operational excellence of distribution service providers has been elevated. Thus, this research investigated the key drivers of operational performance of e-commerce distributors in Thailand. The research contains key variables: the analytics capabilities of an organization, supply chain disruption orientation, innovation capability, and operational performance. Research design, data, and methodology: An online survey is administered to top managers and key personnel (N=425) employed for at least one year in Thailand's top five e-commerce distributors. The sampling methods were conducted using purposive sampling, quota sampling, and convenience sampling. Confirmatory Factor Analysis and Structural Equation Model were applied to analyze and confirm the model's goodness-of-fit and hypothesis testing. Results: The findings reveal that an organization's analytics capabilities significantly affect supply chain disruption orientation and supply chain resilience. Furthermore, operational performance is affected by supply chain disruption, supplier quality management, and innovation capability. Nevertheless, supply chain resilience and digital supply chain have no significant effect on operational performance. Conclusions: The results imply that supply chain digitalization could drive higher operational performance. Distribution businesses are encountering transformation and disruption, which should address the high level of a digital supply chain, innovation, and quality management to maximize their profit margin and delivery service quality.

• Korea Trade Review
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• v.44 no.6
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• pp.105-118
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• 2019

In the past two decades, due to the rapid fluctuations in the oil supply and demand in Northeast Asia as well as a surge in oil prices in the early 2000s, Korea has been developing the Northeast Asia Oil Hub project as a national project. This project was promoted based on the policy consideration that the nation's energy security and regional development can be promoted by establishing an oil hub in Northeast Asia that can eventually replace Singapore as East Asia's oil logistics hub. Following the construction of a large-scale oil storage facility in Yeosu in 2013, the main project in Ulsan has suffered many difficulties due to environmental changes such as the supply and demand of oil and political factors. The survey, which investigated the performance, problems, and prospects of the oil hub project, illustrates that scores of all sectors are of average level. In terms of performance and prospects, policies such as facility investment, law, and system improvement were determined to be rather high while operational areas such as value-added activities, profitability, and marketing activities were perceived as having more serious problems by respondents. In conclusion, despite the strong potential of Korea's oil hub based on its geographical location, facilities, and oil product capacity, there are problems related to policies, institutions, and investment. In the future, the oil hub business should be reviewed by considering environmental factors, and a drastic improvement plan for attracting foreign investors and oil traders should be established.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.43-54
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• 2021

Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.2
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• pp.117-125
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• 2022

In the early 2000s, the rapid decline in the fertility rate resulted in a decrease in military resources to maintain the conscription system. In addition, there has been a further decline in the fertility rate in recent years. So, it is necessary to efficiently utilize military resources to prepare for future problems. The Republic of Korea Navy is planning to reduce the number of crew to operate the newly built warships to prepare for this trend of decreasing in troop resources. However, if the number of crew is reduced without reviewing the appropriate number of crew for the operation of the warship, a bigger problem may be encountered in the future. In order to solve this problem, research is being conducted to examine whether the number of crew aboard a warship is appropriate using simulation. However, it is difficult to create a crew simulation model due to the lack of detailed data related to crew operation. In this study, to solve this problem, a method of generating quantitative data using qualitative survey results was suggested, and the process of creating a crew simulation model was performed using this.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1173-1182
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• 2022

According to the National Fire Agency, there were 61 traffic accidents of Fire engines in 2021. That is an increase of about 80% compared to the previous year. And the number of injuries and deaths increased by more than 300%. According to the survey of this study, less than 25% of firefighters wore seat belts of Fire engines during dispatch, contrary to the rapid increase in injuries and deaths. About the reasons for why firefighters do not wear seat belts, It can be found in aspects that are related to personal consciousness, organizational culture, and firefighting dispatch. The number of dispatches will increase in the future, this is considered to be a serious problem for the stability of the firefighting organization. In this study, a seat belt should be designed newly and proposed to improve the seat belt wearing policy.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.795-799
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• 2022

In recent years, with the rapid development of artificial intelligence technology and an explosion of interest in it, education on artificial intelligence is spreading to various fields. As a result, many universities are establishing artificial intelligence-related departments or expanding their quota. In line with this trend, University C has newly established the AI operation department in line with the industrial base in the region. In this paper, a curriculum was developed for the newly established AI operation department, and this curriculum was designed and developed focusing on subjects reflecting the demands of industries based on AIOps (Artificial intelligence for IT Operations). To this end, a consultative body was formed with industry experts, and opinions were collected through a survey.

• Fourth Industrial Review
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• v.2 no.1
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• pp.33-43
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• 2022

Purpose - With the rapid development of information technology, the digital economy has become an important grip of the new development pattern, and the digital transformation of enterprises is a major trend. As SMEs are the mainstay of the economy and employment, it is important to study the digital transformation of SMEs to promote the development of the digital economy. Research design, data, and methodology - Based on a resource-based view, this report analyses the current situation and issues of digital transformation of SMEs from the perspective of digital orientation as well as the breadth and depth of technological capabilities of enterprises, using data from a survey of 200 manufacturing enterprises in China. Result - The results show that SMEs generally have a digital transformation mindset, but a weak digital foundation. In order to execute a digital strategy, companies need digital transformation capabilities. These behavioral capabilities are guided by the strategic direction of the business, and companies with strong capabilities are always trying to tap into the full digital potential. Conclusion - In order to effectively promote the digital transformation of SMEs, we suggest that SMEs pay attention to digital capability building, make good use of digital platforms and network resources, and lay a solid foundation for digital transformation; meanwhile, we suggest that government departments play a guiding and supporting role to build a cross-industry and cross-sector digital synergy system to help promote the development of SMEs' digital transformation. This paper presents some suggestions from both the internal and external environment of the enterprise, with the expectation of contributing to the digital transformation practices of SMEs.