- E-ISSN2586-6036
- KCI
Abstract
Purpose: It is necessary to establish more systematic and efficient accident prevention measures in relation to the promotion of safety activities to prevent safety accidents of foreign workers at construction sites, especially as safety accidents of foreign workers continue to occur among industrial accidents occurring at domestic construction sites. In this study, I would like to suggest ways to respond to legal issues related to the recruitment of foreign workers and ways to promote safety management that can effectively reduce industrial accidents through various safety management measures. Research design, data and methodology: In order to establish systematic safety management measures for foreign workers, in-depth research was attempted by collecting and analyzing various data such as the current status of domestic industrial accidents, employment status of foreign workers, and disaster statistics. Results: In addition, I intend to establish and present a more systematic safety management plan by conducting various analysis and feasibility review such as risk assessment education in terms of accident prevention for foreign workers. Conclusions: By establishing and presenting more systematic management measures, such as foreign employment, employment by occupation, and on-site education, this safety management system can effectively prevent accidents for foreign workers and is expected to contribute to the prevention of accidents at domestic construction sites for both construction companies and construction officials.
Abstract
Purpose: This study analyzed the general status and conditions of the kimchi industry in Korea. The purpose of this study is to contribute to the information of a desirable kimchi market by analyzing the distribution, price, market, and consumers of kimchi based on the current status and status of the kimchi industry in Korea. Research design, data and methodology: This study basically conducted research design and analysis based on theoretical consideration and kimchi market data. Results: The conclusion of the study is that in order to globalize kimchi, it is expected that a strategy to target overseas markets with relatively low competition through a low-salt diet and premium strategy along with the image of Western health is expected. Conclusions: In Korea, small and medium-sized companies can target the B2B (Business-to-Business) market first and then target department stores or convenience stores at a stable time in the future to expand sales channels and profitability through premium or low-cost policies. Another strategy is to target overseas markets as soon as the company stabilizes through B2B. Therefore, in the kimchi industry, it is necessary to establish a sales/marketing strategy according to what position and position of one's own company in the kimchi industry.
Abstract
This study presents a comprehensive analysis of AI service adoption in the food industry through a wellness-oriented perspective, utilizing a systematic literature review of publications from 2014 to 2024. Through an extensive examination of relevant literature, we identify three critical dimensions: the transformative impact of AI on consumer health and well-being, the fundamental challenges in AI service implementation, and strategic frameworks for successful adoption. Our findings demonstrate that AI services manifest primarily in three distinct forms: process automation, cognitive insights, and cognitive engagement, with cognitive insights emerging as the predominant form, particularly in quality control and supply chain optimization. The research reveals significant challenges, including data quality management, organizational resistance, and workforce adaptation, while emphasizing the critical importance of balancing technical innovation with wellness value creation. We contribute to the existing literature by developing an integrated theoretical framework that synthesizes technological, organizational, and wellness perspectives in AI adoption. The study provides both theoretical contributions through a novel wellness-centric approach to AI adoption research and practical implications by offering strategic guidelines for food industry practitioners. Our findings suggest that successful AI implementation requires a holistic strategy that encompasses technological advancement, organizational transformation, and sustainable wellness value creation, thereby advancing the theoretical understanding of AI.
Abstract
Purpose: This research, based on the tariff reduction table negotiated by South Korea and China free trade area, the specific tariffs of the two countries in the implementation of the Korea-China Free Trade Agreement are calculated, and the global equilibrium model, the global trade analysis project (GTAP) model, is used to simulate and analyze the impact of the Korea-China free trade area on the output and trade of the two countries. Research design, data and methodology: The study conducted a survey on 2018 year GTAP 9.0data. After empirically analyzing the data, we believe that the Major industry in Korea and China will maintain its growth momentum. Results: This study shows that under the assumption that the average tariff of China and South Korea at the beginning of FTA was reduced to 20%, two scenarios were simulated. Two scenarios are simulated under the assumption that the average tariff of China and South Korea FTA will be reduced to 10%. Conclusions: This paper assumes that the average tariff of China-Korea FTA is set at 20%, 10% and zero tariff respectively in the early, middle and long term of the FTA construction. It considers the impact of China-Japan-Korea FTA on China- Korea FTA.
Abstract
Purpose: According to the Ministry of Employment and Labor, the proportion of accidents in the construction and manufacturing industries accounts for more than 50% in 10 industrial sectors in Korea, and there is little gap between the two. However, compared to the construction industry, on-site applications and development of safety management app. are not actively carried out in the manufacturing industry. Based on data from the Ministry of Employment and Labor and the National Statistical Office, this paper analyzes disasters in the manufacturing sector, explains the main operating principles and main components of the app. in the current safety management mobile app, and analyzes necessary improvements and functions through analysis of disasters based on actual accident. Through this analysis, the main inspection process and various mounting functions of the safety management app are explained, and improvement directions that will be more useful if added to the current safety management app are presented. By utilizing these improvements, we intend to further maximize the effectiveness of the app. and provide a safer use environment for users. establishment of effective IAQ management policies and the creation of healthier learning environments.
Abstract
Purpose: This study explores the impact of cost-cutting practices in the multilayered subcontracting structure of the construction industry on the reduction of occupational safety and health management costs (OSHMC). Research design, data and methodology: By analyzing legal and contractual limitations of the current system, and the shortcomings of existing cooperative safety models, this study aims to identify structural issues and suggest alternatives. Results: The findings indicate that subcontracting cost reductions often lead to the omission or reduction of essential safety expenses, including the deployment of safety managers and training programs. Current institutional frameworks—such as mandatory contract clauses, cost adjustment systems, and partial prepayment models—show limitations in ensuring actual safety implementation, particularly for small subcontractors. Conclusions: Based on the analysis, this study proposes an 'Automated Safety Cost Linkage and Guarantee Platform' that ensures real-time calculation, monitoring, and validation of safety expenditures through a digital system. The platform aims to enhance transparency, prevent cost shifting, and improve safety outcomes, ultimately contributing to a safer and more sustainable construction industry.
Abstract
Purpose: This study examines long-term trends and regional variations in SO₂ concentrations across Korean cities from 2014 to 2023. It evaluates air pollution control policies and identifies key factors in SO₂ reduction to provide insights for sustainable environmental management. Research Design & Data: The study employs descriptive statistical analysis, time-series modeling, correlation analysis, and boxplot & violin plot visualizations to assess SO₂ concentration data. It also examines regional pollution variations, seasonal fluctuations, and policy effectiveness to determine key influences on urban air quality. Research Results: The findings indicate a statistically significant decline in SO₂ concentrations in most cities, particularly Seoul, Busan, etc. due to stricter emission policies and industrial restructuring. However, Gwangju exhibited a stable trend, suggesting limited impact from regulations. The boxplot analysis highlights pollution disparities, with higher variability in industrial hubs like Ulsan. The violin plot analysis shows a steady decline in SO₂ pollution, with high variability in earlier years (2014-2016) becoming more uniform in 2020-2023. This suggests that policy enforcement and industrial regulations have reduced pollution disparities. Correlation analysis reveals weak associations between meteorological factors and SO₂ levels, reinforcing the dominant role of policy enforcement and industrial emissions in air pollution trends. Conclusion: South Korea’s air pollution control policies have significantly reduced SO₂ levels, yet regional disparities persist, especially in industrial cities. Strengthened regional collaboration, targeted emission regulations, and improved air quality management are essential for sustaining progress. Future policies should focus on integrated pollution control strategies, stricter industrial emission limits, and advanced monitoring systems to ensure continued environmental and public health benefits.
Abstract
Purpose: This study aims to improve the quality of risk assessment by strengthening the on-site operation of TBM (Pre-work Safety Inspection Meeting) at small and medium-sized construction sites. The purpose is to empirically analyze the effects of TBM system improvement on worker participation, risk factor awareness, and on-site inspection culture, and to derive effective settlement strategies. Research design, data and methodology: In-depth interviews were conducted using FGI (Focus Group Interview) with 30 managers and experienced workers at two construction sites (Company A and Company B) with a budget of less than 80 billion won. Discussions were induced on a total of eight questions focusing on differences before and after TBM improvement, risk assessment techniques, worker participation methods, and improvement ideas. Results: TBM participation rate increased from 50% to over 95%, and a worker-centered risk factor observation and confirmation culture was established. The recognition rate of priority grades before work increased, and risk assessment execution was improved through reflection on unintentional accidents and self-inspection among colleagues. Conclusions: TBM system improvement brought about positive results in all areas of risk assessment. In the future, quantitative effect analysis, reflection of psychological factors, and review of applicability to various scales of sites are necessary. Compensation, education, and publicity linkage strategies to induce worker participation should also be implemented.
Abstract
This study aims to investigate cases of new service marketing markets emerging through the convergence of big data, artificial intelligence (AI), and ICT technologies across various industries in the era of the Fourth Industrial Revolution, and to create demand accordingly. Individual medical biosignals are stored as separate medical data, which are managed as integrated medical big data. This data constitutes personal information that can be provided to desired medical institutions based on the individual's consent. Furthermore, as regular medical information accumulates daily as personal biosignals through smart medical devices, the created medical big data can be utilized diversely through medical information platform services employing AI-based medical image processing technologies and distributed medical data sharing systems designed to protect personal information, enabling expansion into related industrial fields. However, since 'individual medical information' has the potential for misuse, it is essential to establish and apply security technologies for personal information protection. Therefore, with respect to various medical information platforms currently under active development—for example, blockchain-based security technologies for personal information protection such as the 'Blockchain for Medical Platform'—this study analyzed the importance of individual characteristic factors focusing on determinants of ‘service acceptance intention’ from a marketing perspective targeting service users.
Abstract
"In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.
