The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.

Although concerns about overheating of the franchise industry's market structure continue to be raised, there are few studies that analyze the market structure of the franchise industry and suggest practical use. Most existing studies mainly analyze the market structure of other industries using industrial concentration(HHI) as an indicator of market competition intensity from the perspective of industrial organization theory. This study seeks to present a market structure analysis method that is different from existing methods. Considering practical application, this study presented a method to analyze the market structure that combines industry concentration(HHI) analysis and matrix analysis of the franchise industry. First, the industry concentration(HHI) and operating profit ratio(SMR) of 15 major industries in the franchise industry were analyzed in a time series manner (2014-2019). Second, using industrial concentration and operating profit ratio(SMR) as two variables on the x-axis and y-axis, a two-stage matrix analysis was used to understand the market structure characteristics of 15 industries at a glance. Third, a method of utilizing the matrix analysis results for practical decision-making was presented.

본 연구는 한국에서 시행 중인 탄소배출권 거래제도가 탄소중립을 달 성하는데 효과적으로 기여하고 효율적으로 작동할 수 있도록 정책적 시 사점을 제공하고자 한다. 이를 위해서, 탄소배출권 가격과 전산업생산지 수의 관계를 분석하였다. 즉, 탄소배출권 가격과 전산업생산지수의 선형 및 비선형 관계를 고려하여 경제학적 모형을 통해 추정 및 분석을 진행 하였다. 분석 방식은 구조변화를 반영한 방식과 임계값(문턱값)을 반영하 는 방식으로 나누어 모형을 구축하고 추정하였다. 그 결과, 한국의 탄소 배출권 가격과 전산업생산지수는 추정한 모형에서 비선형적 관계가 포착 되었다. 이러한 결과는 한국에서 시행 중인 탄소배출권 거래제도가 효율 적으로 작동할 수 있도록 추가적인 정책이 필요함을 시사한다. 예를 들 어, 산업 분야에서 저탄소 공정으로의 전환(또는 저탄소 경제로의 전환) 이 완전히 이루어지지 않은 현실을 고려할 때, 여전히 경제가 성장하는 상황에서 비선형 관계가 포착된다는 것은 탄소배출권 가격이 적정한 수 준을 유지하지 못하고 지속적으로 하락하는 추세를 나타낸다는 것이기 때문이다. 따라서, 탄소배출권 거래제도의 본래 취지인 탄소배출량의 감 축에 기여할 수 있도록 적정한 탄소배출권 가격이 배출권 거래제도하에 서 유지되도록 하는 정책을 고려해야 한다.

본 연구는 뷰티 분야에서 디지털 기술 적용 및 혁신수용으로 나타나는 변화에 대한 인식개선 및 해결방안으로 뷰티관련 전공 학습자들의 신기술 수용의도를 분석하여 뷰티산업을 이끌어 갈 예비 뷰티 서비스 전문가들에게 필요한 전문적인 디지털 관련 기술 교과목을 개설하여 교육하고, 신기술을 적용할 수 있는 능력을 배양하여 디지털 기술에 대한 인식도가 높은 뷰티 전문가 배출의 가능성을 알아보고자 하였 다. 뷰티전공 학습자의 디지털 신기술 수용의도를 분석한 결과 신기술에 대한 주관적 규범, 자기효능감은 매 개변수인 용이성에 유의미한 영향을 미치는 것으로 나타났으며, 혁신의지와 자기효능감은 매개변수인 유 용성에 유의미한 영향을 미치는 것으로 나타났다. 그러나 혁신의지는 용이성에 유의미한 영향을 미치지 않는 것으로 나타났다. 또한 용이성과 유용성은 수용태도에 유의미한 영향을 미치는 것으로 나타났으며, 수용태도는 신기술 수용의도에 유의미한 영향을 미치는 것으로 나타났다. 이러한 결과를 종합하여 볼 때 뷰티전공 학습자들의 디지털 기술 관련 기초지식 수준을 분석하고, 디지털 신기술과 관련한 기초지식을 습득할 수 있도록 비교적 낮은 수준의 관련 교과목 개발 및 프로그램을 활용하여 뷰티전공 학숩자들이 디지털 신기술을 쉽게 인식할 수 있는 변화의 계기가 마련될 필요가 있다.

대한민국의 해양레저산업은 세일링을 비롯한 다양한 형태의 수상레저 활동이 증가하는 추세에 따라 세계적으로 신흥시장으로 주목받고 있어 세일링 요트에 대한 수요가 높아질 것으로 추정된다. 이에 따라 2022년 현재 우리나라 요트 문화의 부흥과 보급을 위해 해 양수산부의 지원을 받아 28피트 세일 요트의 설계 및 개발이 착수되었다. 개발 초기 단계에서의 성능을 확인하고 이를 통해 설계 인자를 결정하기 위하여 속도 예측 프로그램 VPP(Velocity Prediction Program) 분석이 수행되었다. 본 연구에서 사용된 소프트웨어는 University of Southampton의 Wolfson Unit社의 WinDesign으로, 속도 예측에 적용된 유체역학적 데이터 모델은 Wolfson Unit社자체적인 조선공학 및 요트 연구 분야에서 수십 년간의 예인 수조 시험 데이터를 회귀 분석한 방법으로 대부분의 현대식 요트에 대해 신뢰할 수 있는 추정치를 제공 하는 것으로 여겨진다. 하지만 예인 수조 시험이나 CFD 수치해석 등을 통한 실험 결과적인 유체역학적 정보가 없기 때문에 소프트웨어에 서 제공하는 유체역학적 데이터 회귀 모델의 저항 값은 다소 차이가 있을 것으로 예상된다. 또한, 아직 미완료된 무게 중심 추정에 의한 VCG 값은 속도 예측의 입력 변수 중 하나로, 성능 결과에 어느 정도 영향을 미칠 수 있을 것으로 예상된다. 개발 세일 요트에 대한 최적 화된 보트 속도는 풍속 4, 8, 12, 16 및 20노트의 집세일 조합(최대 120° TWA) 및 스피네커 세일 조합(80° TWA부터) 모두에서 확인되었으 며, VPP를 활용하여 얻어진 최적화된 속도는 국제적으로 유사한 등급의 요트와 견줄수 있는 수준으로 확인되었다.

The production of the North Korea fisheries industry has been steadily falling since it reached its peak in the 1980s. The production of thefisheries industry is an important indicator of the current status and changes in the North Korea fisheries industry as a whole. This study reviewed the production volume of the North Korea fishery and derived changes and characteristics of the North Korea fisheries from the standpoint of production changes. Changes in North Korea's fisheries industry in the situation of falling production are as follows. First, the production of capture fisheries has fallen sharply. Second, the production of seaweed farming increased. In particular, the production of kelp farming has increased rapidly since the 1970s. Third, North Korea is trying to diversify its production means to cope with the decline in production. The characteristics of the North Korea fisheries from the viewpoint of falling production are as follows. First, the proportion of seaweed aquaculture in the fishery output is excessively high. In particular, the proportion of kelp is high. Second, production facilities are concentrated in the East Sea. Third, there is little production of fish farming using deep-sea fishing and sea sponges. Fourth, the production of the fisheries industry is falling continuously in the long term.

본 논문의 목적은 한국 조선산업의 경쟁력에 영향을 주는 정부의 산업 정책이 어떻게 변화해 왔으며, 그 변화의 원인을 담론제도주의 시각에서 분석하는 것이다. 이 연구는 1970년대부터 2000년대 각 시기별 주요 조 선산업정책과 관련된 이슈들을 살펴봄으로써 한국에서 조선산업이 위기 에 직면했을 때 주요 정책 행위자들 간에 산업정책의 방향을 두고 산업 논리 담론과 시장논리 담론이 첨예하게 대립하였으며, 이러한 담론경쟁 의 결과가 한국 조선산업정책의 변화에 중요한 영향을 미쳤음을 강조한 다. 즉, 이 논문은 담론정치를 통해 1970년대 이후 한국의 조선산업정책 이 크게 “발전주의적 육성정책→발전주의적 조정정책→자유주의적 육성 정책→자유주의적 조정정책”의 4단계로 변화하였음을 보여준다는 점에서 의의를 가진다.

This study aims to investigate the correlation between the causes of natural disasters and feng shui factors targeting disaster management experts, feng shui experts, and the general public who are interested in feng shui. To this end, it is intended to reveal that the factors of the disaster at Mt. The purpose of this study is to analyze the impact of three factors on disasters: feng shui factors, natural factors, and social factors. To this end, a survey was conducted targeting feng shui experts, disaster management experts, master's and doctoral students in feng shui geography, residents of the Umyeonsan disaster area, and people interested in feng shui geography. 260 copies of the questionnaire were prepared and 248 copies were used for the final analysis. First, in order to analyze the impact of feng shui factors on awareness of disaster occurrence, after controlling for demographic variables, hierarchical multiple regression analysis was conducted to analyze the impact of feng shui factors on awareness of disaster occurrence. Second, as a result of analyzing the effect of natural factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Third, as a result of analyzing the effect of social factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Finally, as a result of the T-test and Anova analysis conducted for discriminant analysis, if the p-value was less than .005, the F value for each group was obtained as a result of the ANOVA analysis on the feng-shui factors

In the global manufacturing industry, digital transformation is emerging as an important issue for companies to improve productivity and strengthen industrial competitiveness. The government and shipbuilding companies drive research and development to attain advanced technologies through digital transformation for shipbuilding & offshore plants, one of Korea's representative manufacturing industries. Therefore, the digital transformation of the shipbuilding & offshore plant industry was defined using an input-output analysis model, and the economic interrelationships of industries linked to the digital transformation of the shipbuilding & offshore plant industry were analyzed. According to the analysis, the shipbuilding & offshore plant industry ranks second among all 34 industries regarding the forward linkage effect. The backward linkage effect was ranked 27th, making it a mid-demand industry with a robust forward linkage effect. In addition, the production-induced effect was 0.455, the value-added-induced effect was 0.174, and the employment-induced effect was 1.779 people per billion won. The contribution of this study is that it will provide the basis for establishing policies necessary to strengthen the competitiveness of the shipbuilding & offshore plant industry. Also, it will help analyze the economic effects of digital transformation in other manufacturing industries.

In South Korea, the exporters of items related to nuclear power generation are diversified. Consequently, there is a risk of illegitimate export by companies failing to recognize the export control system because the awareness about this system for the strategic items among the subcontractors of nuclear power facilities is limited. To prevent illegitimate export of the strategic items, it is necessary to conduct outreach activities regarding the export control system for the related companies. Additionally, the exporters and export license examiners should consider whether an export target is on the Denial List, who may divert the strategic items to weapons of mass destruction. Therefore, the Korea Institute of Nuclear Nonproliferation and Control developed two systems for controlling illegitimate export of the Trigger List items. The first system, Nuclear Industry Information Collection and Analysis System, can gather information about the key nuclear industries in Korea and analyze the dealing of strategic items. The second system, Denied Persons Information Gathering System, can regularly gather information about the denied persons and provide the updated data to the exporters and regulatory examiners. These two systems can be used for outreach activities and export license examination to prevent illegitimate export of the strategic items.

The construction industry stands out for its higher incidence of accidents in comparison to other sectors. A causal analysis of the accidents is necessary for effective prevention. In this study, we propose a data-driven causal analysis to find significant factors of fatal construction accidents. We collected 14,318 cases of structured and text data of construction accidents from the Construction Safety Management Integrated Information (CSI). For the variables in the collected dataset, we first analyze their patterns and correlations with fatal construction accidents by statistical analysis. In addition, machine learning algorithms are employed to develop a classification model for fatal accidents. The integration of SHAP (SHapley Additive exPlanations) allows for the identification of root causes driving fatal incidents. As a result, the outcome reveals the significant factors and keywords wielding notable influence over fatal accidents within construction contexts.

Background: The globalization of the healthcare industry and the increasing demand for skilled professionals in the global healthcare industry have opened up opportunities for specialized biotech healthcare professionals to seek overseas employment and career advancement. Objects: This study aimed to develop educational content essential for the overseas employment of digital bio-health professionals. Methods: A survey was conducted among 196 participants. Google Forms (Google) were utilized to create and administer the survey, employing purposive sampling, a non-probability sampling method. Data analysis was performed using IBM SPSS 25.0 (IBM Co.), including Cronbach’s α and independent sample t-tests to assess significant differences. Results: About half of college students are interested in overseas employment and international careers, while the other half had not. The most common reason for wanting to work or go overseas was “foreign experience will be useful for future activities in Korea.” Students who had experience taking courses from the Bio-health Convergence Open Sharing University preferred overseas programs more than those who did not have that experience. In terms of the degree of desire for overseas education courses provided by universities, contents related to human health were the highest, followed by bio-health big data. Conclusion: Many students wanted to work and go overseas if there is sufficient support from the university. The findings in this study suggest that universities are necessary to play an important role in supporting students' aspirations to work or go overseas by providing language education, education and training programs, information on overseas jobs, and mentoring programs.

Occupational safety and health management expenses in the construction industry are statutory and separately included in the cost statement to prevent occupational accidents and health problems. The expenses are determined by multiplying the standard amount by the rate decided according to construction types and scales. However, the current expense appropriation method does not properly reflect the recent changes in the construction industry such as industry size, industry diversification, and social atmosphere about safety reinforcement. This study surveyed 1579 questionnaires in total and analyzed expense execution rate and proportion of each expense category. The expense execution rate was relative higher in complex construction (e.g., heavy construction = 126%, civil engineering = 125%) and long-period project (equal to or over 48 months construction = 133%) compared to general construction (98~116%) and short-period project (less than 48 months construction = 115%). The proportion of spending expenses was higher in the category of safety manager labor costs (25~52%), safety facility costs (22~40%), and personal protective equipment costs (10~25%). The analysis results of the study can be utilized in revising the standard expense appropriation method by reflecting the current usages of the occupational safety and health management expenses in the construction industry.

Recently, the crisis of demographic extinction is rising in Korea more than any other country, and it is difficult for industrial sites to maintain without 'foreign workers'. Industrial accidents and accident deaths of foreign workers account for 7.6% and 12.3% of the total, through an in-depth analysis of fatal accidents in the manufacturing industry, differences and similarities between fatal accidents of foreign workers and all fatal accidents were confirmed in terms of occurrence type, workplace size, length of service, employment type, etc. In this study, customized countermeasures were found.

Laver aquaculture, which occupies a large proportion in the aquaculture industry in Korea, is still highly dependent on human labor. Therefore, it is necessary to study the development of an automatic system to improve the working environment and increase the efficiency of aquaculture production systems. The purpose of this study is to evaluate the economic feasibility of an improved system in a study for the loading-unloading and automatic weighing systems in laver aquaculture industry. Economic analysis of the developed unloading and automatic weighing system were implemented under various conditions to calculate more accurate benefits and costs. As a result of this study, the economic feasibility was found to be very high in the three models: net present value (NPV), benefit-cost ratio (B/C), internal rate of return (IRR). Moreover, the results of sensitivity analysis showed that the economical efficiency of the automatic loading, unloading, and weighing system in laver aquaculture was very high.

지식기반사회에서 산학협력의 중요성이 지속적으로 높아짐에 따라 정부는 산학협력 관련 다양한 사업을 추진하고 있다. 하지만 정부의 많은 지원에도 불구하고 만족스러운 성과를 거두지 못하고 있어 산학협력 성과를 확산하기 위한 실증적 성과분석의 필요성이 커지고 있다. 본 연구에서는 DEA를 활용하여 LINC+ 참여 대학의 산학협력 성과를 분석하였다. CCR 모형과 BCC 모형을 활용하여 효율성 분석을 수행하였으며, 규모효율성 분석을 통해 규모수익과 비효율 원인을 파악하였다. 또한 비효율적으로 운영되는 대학에 대하여 효율성 개선목표를 제시하였다. 분석 결과 대학이 위치한 지역에 따라 LINC+ 성과의 차이가 있으며, 대학별 비효율 개선을 위한 목표들이 상이한 것으로 나타났다. 본 연구 결과는 대학의 운영 효율성 제고와 경쟁력 강화에 기여할 것으로 기대되며, LINC+의 후속 사업 계획 수립에도 활용될 수 있을 것이다.

최근 글로벌 정치․경제 환경의 대전환으로 미국과 유럽 국가들은‘재산업화 전략’으로 제조업 회복을 추진하고 있고, 중국도 ‘중국제조 2025’를 통해 제조업의 질적 발전과 고도화에 집중하고 있다. 이러한 상황에서 본 연구는 외국인직접투자(Inward Foreign Direct Investment, IFDI)가 중국 제조업 고도화에 미치는 영향에 대해 실 증적 분석을 통해 검증해 보고자 하였다. 제조업 가운데 첨단기술 산업의 비중을 중국 제조업 고도화의 지표로 이용하여 2004년부터 2020년까지의 17개년도 중국 31개 성(省)별 패널데이터로 고정효과 모형과 FGLS 모형 을 활용하여 실증분석을 하였다. 분석 결과, 중국 전체와 중국의 동부, 중부, 동북 지역, 장강경제벨트는 IFDI가 중국 제조업 고도화에 긍정적인 영향을 미치는 것으로 나타났지만, 서부지역에 대해서는 영향을 미치지 않는 것 으로 나타났다. 이러한 결과를 통해 IFDI가 중국 제조업 고도화에 미치는 영향은 지역별로 다소 차이가 존재 하고 있음을 입증하였다. 분석 결과는 중국 정부의 IFDI를 통한 지역 균형 발전정책이 중부와 동북 지역에 대 해서는 효과적이었음을 알 수 있었던 반면 중국 서부지역에 대해서는 IFDI를 통한 첨단기술 산업 고도화의 정 책 목표와 전략을 수정할 필요가 있음을 시사한다. 한편 통제변수로 활용된 변수인 수출과 수입으로 측정된 개 방정도와 첨단기술에 대한 연구개발 투자는 제조업 고도화에 매우 긍정적인 영향을 미치는 것으로 일관되게 나 타나고 있다.

This study researches the restaurant industry in Seoul during the late 1940s. The research was based on the four major newspapers in Korea. The data included a total of 227 businesses with 164 non-fusion restaurants that served single-nation type food consisting of 101 Korean, 31 Western, 20 Japanese, and 12 Chinese. Some examples of South Korean dishes are Masan, Daegu, and Jeolla-do-style local foods. As for North Korean food, Pyongyang-style bulgogi, Naengmyeon, Hamheung-style janggukbap, and Gaejangguk were introduced frequently. Chinese restaurants that appeared were highend places with Beijing-style cuisine. In the case of Japanese restaurants, they mostly had Sukiyaki with Joseon food served as well. Moreover, Western restaurants were fusioned with Japanese as in pork cutlet and curry rice. Others are comprised of “French Cuisine”, “Indian curry rice”, “Steak”, and “Russian soup”. This analysis indicates that foreign cuisines had actively entered the market.