• 통상정보연구
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• 제14권4호
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• pp.339-360
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• 2012

본 논문은 글로벌금융위기시기 정부의 정책의지에 따라 운영될 수 밖 에 없었던 정책금융지원기관으로서, 공적수출신용보증기관 무보가 중소조선기업 보증지원 시 운영상의 문제점을 개선할 수 있도록 방안을 제시하다. 그러므로 본 연구는 기존연구와는 달리 중소조선사를 대표하는 S조선 지원 사례를 서지(書誌)분석을 통하여, 무보의 선박수출보증보험운영상의 불합리한 규정의 개선 뿐 만아니라 무보의 중소조선사 총괄 보증제도 까지 연구범위를 확대하여, 무보의 선박수출보증제도의 운영상의 문제점 및 시사점 뿐 만 아니라 경제위기상황에서 정부의 정책적 오류 발생 및 이와 연관된 정책집행기구의 역할에 대한 정책적 시사점을 제시하였다.

• 한국환경교육학회지:환경교육
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• 제25권1호
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• pp.25-34
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• 2012

Following the UN Conference on Environment and Development held in Rio de Janeiro, Brazil, in 1992, a number of companies began to incorporate the concept of Environmental Sustainability into their business activities. Soon after this, interest in business sustainability within the academic world began to grow and a number of universities in Europe and North America decided to develop environmental management education-related materials and curricula under the support from their respective govemments and private companies. Starting in 1996, a wide-range of environmental management education programs also began to appear in several Korean universities. However, in contrast with the gradual evolution of environmental management education into a single study field internationally, environmental management education in Korea has not become fully specialized, nor has it developed in a systematic manner. In order to enhance and facilitate domestic environmental management education in Korea, universities must put more effort into differentiating environmental management education courses from regular environmental courses through the development of curricula related to business management. The business world has an immense impact on the environment and international environmental regulations are steadily becoming stronger. In this light, environmental education programs need to extend their sphere of study not only to the spread of knowledge and sensitivity towards the environment among members of the general public, but also train businessmen to have an understanding of how their actions impact the environment.

• 한국융합학회논문지
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• 제12권2호
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• pp.287-294
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• 2021

연구는 노인채용 관련 필요한 지원서비스를 유형화하고, 노인채용 관련 필요한 지원서비스 유형과 노인채용계획 간의 관계를 심층적으로 확인하는 데 목적이 있다. 이를 위해 서울시 A구 상공인과 소상공인 182명을 대상으로 잠재프로파일 분석과 이항 로지스틱 회귀분석을 진행하였다. 분석결과, 첫째, 노인채용 계획 확률을 높이는 요인이 종사자 수와 노인 인력 여부인 것으로 확인되었다. 둘째, 노인채용 관련 '필요 지원서비스 고수준 집단'이 타 집단보다 노인 채용 계획이 있을 확률이 높은 것으로 나타났다. 연구 결과를 바탕으로 민간 사업체가 노인 인력 채용 시에 필요한 정부의 지원 방향 관련하여 기초자료를 제공하고자 한다.

• 디지털산업정보학회논문지
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• 제10권2호
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• pp.157-171
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• 2014

A organization of social enterprises is to achieve various goals such as private interests, the public nature, and social policy. For fulfilling these goals, we have to understand the various success factors. These success factors were shared among peoples. This study explored a position of structure of social network formed by success factors of Social Enterprises with importance. A position within social network defined a number of link connected other nodes. A position is closely associated with to individual's behaviors, opinions and thinking. We used social network analysis with two mode method for explaining feathers of structure of social network formed by success factors shared among peoples. We choose degree centrality for determining a position within social network. Centrality is a key measure in social network analysis. Results is that shared success factors are operation capital(15.15%) totally, and by Buying experience of products of Social Enterprises, Business Compliance(14.39%) and planning(12.88%), and by usage time of smart devices, Business Support(17.05%) and planning(16.10%). and the dominant success factor was not explored.

• 토지주택연구
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• 제11권3호
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• pp.21-31
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• 2020

This paper quantitatively analyzes the investment performance of the environmental improvement fund focusing on the sales effect and the housing benefit effect. The analysis of this study focused on the effects of sales and housing benefits for completed business sites among the business sites supported by the Environmental Improvement Fund. The analysis results are as follows. First, it appears that the sales effect of the completed workplace is effective compared to the amount of investment, so it seems that the purpose of industrial integration of the environment improvement fund is being achieved. Second, it was found that there are variations by workplace and region in housing benefits. This seems to be due to the fact that profitability can be neglected by reflecting the characteristics of residential facilities built by private businesses. The Environmental Improvement Fund is a policy fund that pursues both profitability and publicity. Therefore, it is necessary to transform the structure of the fund to expand support for industrial infrastructure with high publicity. To this end, it is necessary to establish a long-term management plan that equitably considers the profitability and publicity of the environmental improvement fund.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.499-510
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• 2022

This study examines the reporting factors of crime against business in Korea and proposes a corresponding predictive model using machine learning. While many previous studies focused on the individual factors of theft victims, there is a lack of evidence on the reporting factors of crime against a business that serves the public good as opposed to those that protect private property. Therefore, we proposed a crime prevention model for the willingness factor of theft reporting in businesses. This study used data collected through the 2015 Commercial Crime Damage Survey conducted by the Korea Institute for Criminal Policy. It analyzed data from 834 businesses that had experienced theft during a 2016 crime investigation. The data showed a problem with unbalanced classes. To solve this problem, we jointly applied the Synthetic Minority Over Sampling Technique and the Tomek link techniques to the training data. Two prediction models were implemented. One was a statistical model using logistic regression and elastic net. The other involved a support vector machine model, tree-based machine learning models (e.g., random forest, extreme gradient boosting), and a stacking model. As a result, the features of theft price, invasion, and remedy, which are known to have significant effects on reporting theft offences, can be predicted as determinants of such offences in companies. Finally, we verified and compared the proposed predictive models using several popular metrics. Based on our evaluation of the importance of the features used in each model, we suggest a more accurate criterion for predicting var.

• Educational Technology International
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• 제21권1호
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• pp.31-67
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• 2020

The purpose of this study was to propose an education cooperation model for Human Resources Development (HRD) in Asia-Pacific region in response to environmental changes in business and industry. In order to carry out the model, this study reviewed the key features of human resources in the APEC which is a symbolic regional integration entity in Asia-Pacific region, shaped critical issues related with HRD in this region and then analyzed the trends of education cooperation projects conducted by the APEC in terms of topics, implementation methods and proposing economies of the projects. In result, this study proposed a triangular education cooperation model for HRD consisting of three elements: Voluntary Partnership, Information on Needs and Support for Cooperation. These interconnected and interdependent elements were designed to encourage actors to participate in education cooperative activities with their own willingness, produce and manage research-based information required for sustainable cooperation and support communication and connectivity among actors for effective activities. Also, this study expected that this model would make a commitment to narrowing educational divides, enhancing global-standard skills development, facilitating public and private partnership and organizing the foundation of future education for cultivating creative talents in the era of innovation for APEC members.

• 경영정보학연구
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• 제10권2호
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• pp.137-158
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• 2008

기업 경쟁력 강화의 중요한 이슈인 대량 개별화(mass-customization)의 실행을 위하여 통합 고객관계 관리 프로세스로서의 CRM(customer relationship management)에 대한 관심과 활용에 대한 필요성은 점점 더 높아지고 있다. 특히, 기존 고객들의 구매 정보를 기반으로 고객의 구매 패턴을 파악하고 의도를 예측하는 것은 오늘날 실질적인 판매 전략을 수립하는 마케팅 분야에서 상당히 큰 비중을 차지하고 있다. 고객의 구매의도 예측에는 대량의 데이터로부터 과거에 인지하지 못했던 의미 있고, 근거 있는 정보를 추출하는 데이터마이닝(datamining)이 주로 사용되고 있다. 기존의 구매의도 예측에 사용된 데이터마이닝 기법들은 주로 신경망(neural networks)과 로지스틱 회귀분석(logistic regression analysis)이었는데, 예측 정확성 및 모형 구축의 어려움으로 인한 다양한 문제점들이 제기되고 있는 실정이다. 따라서, 본 논문에서는 기존의 기법들이 가지고 있는 단점들을 개선하기 위하여 신경망과 로지스틱 회귀분석 외에 연관규칙(association rule), 연관성 매트릭스(association matrix), 의사결정 나무(decision tree), 베이지안 망(bayesian network), SVM(support vector machine) 기법들을 추가로 제안하였다. 본 연구의 목적은 고객의 특정 상품에 대한 구매의도 예측을 위하여 새로운 알고리즘을 제시하기보다는 기존의 다양한 데이터마이닝 기법들을 적용시켜 봄으로써, 가장 우수한 예측성과를 나타내는 기법을 발견하는 것이다. 연구에 사용된 자료는 기존의 연구에서는 적용되지 않았던 편의점의 영수증 데이터이다. 예측 목표상품은 카테고리화 된 '우유'와 '냉동식품'이며, 제안된 기법들의 신뢰성을 위하여 전체 데이터를 10개의 training과 test 셋으로 중복되지 않게 구분함과 동시에 10번의 교차 검증(cross validation)을 실시하였다. 실험 결과 SVM이 영수증 데이터를 이용한 고객의 특정 상품에 대한 구매의도 예측에서 가장 우수한 성과를 나타내는 것을 확인하였다.

• 한국산학기술학회논문지
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• 제15권11호
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• pp.6587-6598
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• 2014

본 연구는 기술협력 전략에 대해 선행연구에서 제기하는 문제들을 가설로 설정하고 기술혁신조사 자료를 이용하여 다항로짓모형으로 기술협력 유형의 결정요인에 대해 실증적으로 검증하였다. 본 연구의 의미 있는 결론들을 정리하면 다음과 같다. 첫째, 기업/제품 특성은 협력 유형을 결정하는 유의한 결정요인이 아닌 것으로 나타나고 있다. 둘째, 연구개발 조직 특성은 공식적인 R&D 조직 협력 유형을 결정하는 유의한 결정요인으로 나타난다. 셋째, 정부지원 특성은 매우 유의한 결정 요인으로 작용하며 더 많은 정부지원을 받을수록 공공형 협력을 채택할 가능성이 높다. 넷째, 기업이 속한 산업의 기술수준은 협력 유형을 결정하는 요인이며, 기술수준이 높을수록 수직형 협력 유형을 선호한다. 본 연구는 기술협력과 관련된 다양한 연구들에서 제기하고 있는 가설들을 실증분석하여 앞으로 기술협력 전략과 관련된 분야에서 다양한 연구의 기준을 제시할 수 있을 것으로 기대한다.

• 유통과학연구
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• 제20권2호
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• pp.65-77
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• 2022

Purpose: This study aims to identify factors affecting the adoption of e-commerce by household businesses in Vietnam's food and beverage industry. Research design, data and methodology: The integrated TAM and TOE frameworks and ten hypotheses were developed to test the relationship between relevant factors. A cross-sectional survey was conducted to collect valid data from 992 respondents who run F&B household businesses in Vietnam. Results: The empirical research results confirm all proposed hypotheses that e-commerce adoption is affected by the perceived usefulness, the perceived ease of use, vendor support partners, social expectancy, competitive pressure, subjective norm, and household resources. Meanwhile, technical readiness, environment readiness, and organization readiness are intermediate variables that influence the implementation of e-commerce in food and beverage distribution. Conclusions: The findings suggest effective orientations to foster the food and beverage e-trading practice for household businesses in developing countries. Accordingly, to encourage private household businesses to adopt e-commerce, it is necessary to focus on improving business resources, technology readiness, environment readiness, and organization readiness through raising awareness of usefulness, benefits, perceived ease of use, and increased support of vendor partners. Future research can focus on improving the efficiency of e-commerce applications in F&B distribution for both household businesses and larger-scale enterprises.