• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.40-40
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• 2017

국내 대학은 연구 및 교육 기관으로서의 중요성과 함께 창업에 기여해야 할 사회적 책무를 지고 있다. 대학이 축적한 각종 지식 성과와 함께 연구와 개발 인프라를 활용하고 대학생 및 대학원생의 창의적 아이디어의 활용 가치를 높여 경제 활성화를 위한 새로운 성장 엔진을 개발해야 한다. 또한 창업연구와 창업지원 사업에 대한 사회적 요구에 맞추어 대학은 창업기능을 구조 혁신의 도구로 삼을 기회를 가지게 되었다는 점도 주목해야 한다. 본 연구는 한국 대학의 창업지원 기관의 역할 정립을 위한 학술적 지식을 되짚어 보고 창업을 중심으로 한 대학의 적극적인 창업지원단 구축 모델에 대한 논의를 담고 있다. 창업교육과 창업지원에 관한 기존의 연구와 2차 통계자료를 기반으로 창업지원 방향에 관한 시사점을 획득하고 대학 혁신을 위한 창업지원 모델인 WoW! Valley Model을 제안한다. 본 모형은 창업지원단의 역할 정립에 도움을 주고 대학 창업지원의 정책 수립의 기초를 제공할 것으로 본다. 국내외 경제 여건의 악화와 글로벌 경제 침체 속에서 창업의 사회적 중요성은 점차 커지고 있다. 이러한 상황에서 대학의 창업 활성화는 시대적 과제라 할 수 있다. 체계적인 창업 지원 정책을 대학이 주도하고 현실 학문적 성격을 강화하는 방향으로 체질을 개선하는 일이 시급하다. 본 연구는 대학의 창업지원단 활동의 새로운 모델을 제시하고 있다. 이미 국내의 많은 대학들이 창업지원을 위한 센터나 지원단을 운영하고 있으며 독자적인 체계를 갖추고 있다. 그러나 창업지원을 중심으로 대학의 기능을 재편하는 등의 혁신 체계로서의 창업지원단 운영 모델은 수립 및 시행된 경우가 드물다. 본 연구는 창업교육과 창업지원에 관한 기존의 연구 성과를 되짚어 보고 국내 대학의 창업지원을 위한 새로운 시각을 제시한다. 창업 지원단의 수립 및 운영 모형에 관한 논의가 절실한 시점에서 본 연구는 연구자와 대학 운영자 및 정책 입안자에게 의미 있는 시사점을 줄 것으로 기대한다. 한편, 본 연구는 개념적 디자인을 제시하는 수준이므로 디자인을 평가하여 새로운 지식을 얻는 등의 후속 과정을 거쳐 보완될 필요가 있다. 다중 사례 연구와 실행 연구(Action Research) 등의 실증 방법을 통해 본 연구의 후속 결과가 요구된다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.526-530
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• 2004

The portion of plant industry has increased within construction market. In spite of plant industry is dynamic field which leads state-of-the-art and creates a value, phased information management and knowledge intensive business accomplishment are insufficient. Henceforth plant is expected to demand increment of industrial project from hereafter international plant industry market. The continuous plan technique and know-how accumulation are urgent from domestic. 1'his research analyzes the areas in which domestic plant industry is insufficient and then elicits project management key success factors from current operation process. In addition, this research compares domestic plant level with overseas plant level. This study establishes work models for critical work phases based on the analysis of domestic plant technical level.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.47-68
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• 2008

The aim of this research is to develop a new business model using mobile RFID in exhibition spaces such as museums and art galleries. Using mobile RFID, the exhibition space is expected to be evolved from a simple media space only for the exhibition to an extended space integrating media, commerce and entertainment. This paper proposes a u-Exhibition business model and its scenario in the u-Exhibition space. We discuss the real-world issues for the implementation and show the ways of investigating working conditions for the business model through revenue simulation and analyzing the expected value of tag installed on the exhibition space by so-called 'tag evaluation model.'

• International Area Studies Review
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• v.21 no.1
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• pp.247-279
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• 2017

Korean firms are faced with the necessity of creating new markets in 21st century. Korean economy has witnessed the accelerated growth rate of trade volume during the period from the latter part of 20th century to the early part of 21st century. In recent times, Korean export volumes have been stagnated. For the second take off, Korea has to create a new ASEAN BOP market. In order to penetrate into the ASEAN BOP Market, it is necessary for exporting firms to have a partnership with ASEAN countries via ODA. In particular, Public-Private Partnership(PPP) might be seen as an effective tool to access the BOP market in ASEAN region. The international development cooperation based on PPP will establish the humanitarian values as well as economic values through the combined effort of government and business enterprises. This study suggests four kinds of business model to have a mutual cooperation between Korean firms and ASEAN markets.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.97-117
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• 2020

Product evaluation criteria is an indicator describing attributes or values of products, which enable users or manufacturers measure and understand the products. When companies analyze their products or compare them with competitors, appropriate criteria must be selected for objective evaluation. The criteria should show the features of products that consumers considered when they purchased, used and evaluated the products. However, current evaluation criteria do not reflect different consumers' opinion from product to product. Previous studies tried to used online reviews from e-commerce sites that reflect consumer opinions to extract the features and topics of products and use them as evaluation criteria. However, there is still a limit that they produce irrelevant criteria to products due to extracted or improper words are not refined. To overcome this limitation, this research suggests LDA-k-NN model which extracts possible criteria words from online reviews by using LDA and refines them with k-nearest neighbor. Proposed approach starts with preparation phase, which is constructed with 6 steps. At first, it collects review data from e-commerce websites. Most e-commerce websites classify their selling items by high-level, middle-level, and low-level categories. Review data for preparation phase are gathered from each middle-level category and collapsed later, which is to present single high-level category. Next, nouns, adjectives, adverbs, and verbs are extracted from reviews by getting part of speech information using morpheme analysis module. After preprocessing, words per each topic from review are shown with LDA and only nouns in topic words are chosen as potential words for criteria. Then, words are tagged based on possibility of criteria for each middle-level category. Next, every tagged word is vectorized by pre-trained word embedding model. Finally, k-nearest neighbor case-based approach is used to classify each word with tags. After setting up preparation phase, criteria extraction phase is conducted with low-level categories. This phase starts with crawling reviews in the corresponding low-level category. Same preprocessing as preparation phase is conducted using morpheme analysis module and LDA. Possible criteria words are extracted by getting nouns from the data and vectorized by pre-trained word embedding model. Finally, evaluation criteria are extracted by refining possible criteria words using k-nearest neighbor approach and reference proportion of each word in the words set. To evaluate the performance of the proposed model, an experiment was conducted with review on '11st', one of the biggest e-commerce companies in Korea. Review data were from 'Electronics/Digital' section, one of high-level categories in 11st. For performance evaluation of suggested model, three other models were used for comparing with the suggested model; actual criteria of 11st, a model that extracts nouns by morpheme analysis module and refines them according to word frequency, and a model that extracts nouns from LDA topics and refines them by word frequency. The performance evaluation was set to predict evaluation criteria of 10 low-level categories with the suggested model and 3 models above. Criteria words extracted from each model were combined into a single words set and it was used for survey questionnaires. In the survey, respondents chose every item they consider as appropriate criteria for each category. Each model got its score when chosen words were extracted from that model. The suggested model had higher scores than other models in 8 out of 10 low-level categories. By conducting paired t-tests on scores of each model, we confirmed that the suggested model shows better performance in 26 tests out of 30. In addition, the suggested model was the best model in terms of accuracy. This research proposes evaluation criteria extracting method that combines topic extraction using LDA and refinement with k-nearest neighbor approach. This method overcomes the limits of previous dictionary-based models and frequency-based refinement models. This study can contribute to improve review analysis for deriving business insights in e-commerce market.

• Korean Journal of Environmental Biology
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• v.38 no.1
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• pp.30-39
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• 2020

The changes in fish stock and biomass before and after fishway renovation located in a Korean estuary were studied and fluctuations in the economic value of the fish resources were estimated. The target fishway located in the east coast area in Korea was renovated in 2014 from the small fish ladder to the ice-harbor fishway. Monitoring was continued for five consecutive years after the renovation(2015 to 2019). Since the renovation of the fish passage, the economic values increased with increases in the fishery resources, except for in 2016 when the drought impact was severe. The yearly average incremental increase in the five years after the renovation was about 227%. The increase in economic value is believed to be due to the increased population of migratory fish as a result of habitat expansion. The exponential rise model showed an increase in economic value with increasing fishery resources (R²=0.896). The model coefficient contributing to economic analysis was 0.582 and the maximum economic value after the renovation was estimated at about 30.4 million. The economic value would be a useful index for quantitative comparison in terms of ecosystem services before and after renovation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.69-85
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• 2024

Social enterprises, hybrid organizations that blend the logic of the public and market economies, have emerged as an alternative to market failure. However, due to the government-led compressed growth of social enterprises, many social enterprises rely on government financial support, and when the support ends, the survival rate drops significantly and the scale remains at the microenterprise level, raising concerns about the quality growth and sustainability of social enterprises. Therefore, the purpose of this study is to identify the social entrepreneurial orientation that affects the sustainable management performance and to empirically analyze the moderating effect of network utilization capabilities in this process. To achieve the purpose of this study, a questionnaire was distributed to a random sample of member organizations in the metropolitan area, including the Incheon City Small Business Association, the Gyeonggi-do Small Business Association etc. The survey was conducted for about two months and a total of 1,300 questionnaires were distributed and 180 were returned, of which 173 were used for empirical analysis, excluding seven that were not returned. The collected survey data were subjected to structural equation modeling test using Smart PLS ver. 4.1 statistical package. The results showed that entrepreneurial value orientation and social value orientation positively influenced both economic and social performance. Convergent value orientation was only found to have an effect on economic performance, but not on social performance. Finally, the moderating effect of network capabilities was also found, suggesting that social entrepreneurial orientation positively affects organizational performance when social network capabilities are higher.

• Environmental and Resource Economics Review
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• v.13 no.1
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• pp.49-82
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• 2004

The study aimed to evaluate cancer damage cost due to risk from benzene inhalation. We performed health risk assessment based on US EPA guideline to estimate annual population risk in Ulsan metropolitan city. Also, we estimated a willingness-to-pay amount for reducing a cancer mortality rate to evaluate a value of statistical life. We combined the annual population risk and the value of statistical life to calculate the cancer damage cost. In the health risk assessment, we applied the benzene unit risk ($2.2{\times}10^{-6}{\sim}7.8{\times}10^{-6}$) in the US EPA'S Integrated Risk Information System to assess the annual population risk. Average concentration of benzene in ambient air is $7.88{\mu}g/m^3$(min: 1.16~max: $23.32{\mu}g/m^3$). We targeted an exposure population of 516,641 persons who aged over 30 years old. Using a Monte-Carlo simulation for uncertainty analysis, we evaluated that the population risk of benzene during ten years in Ulsan city is 2.90 persons (5 percentile: 0.32~95 percentile: 9.11persons). And the monthly average WTP for 5/1,000 cancer mortality reduction during ten years is 14,852 Won(95% C.I: 13,135~16,794 Won) and the implied VSL is 36 million Won(95% C.I: 30~40 million Won). Cancer damage cost due to risk from benzene inhalation during 10 years in Ulsan city is about 104 million Won(5 percentile: 13~95 percentile: 328 million Won). Health benefit cost to reduce a cancer mortality risk of benzene is about 50 million Won is Ulsan metropolitann city. But, it is very important that this cost is not for all health damage cost of cancer mortality in some area. We just recommended a model for evaluating a cancer risk reduction, so we must re-evaluate an integrated application of total VOCs damage cost including benzene.

• KIEAE Journal
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• v.7 no.3
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• pp.3-10
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• 2007

사회적 경제적 환경적 영향에 대한 장기적인 고려 없이 진행된 개발도상국가의 도시화와 인구증가는 도시의 슬럼화 등 다양한 문제를 초래하고 있다. 본 연구는 베트남 하이퐁시를 대상으로 생태적 도시계획모델을 제시하는 것을 목표로 한다. 본 연구에서 적용한 생태적 계획과정은 크게 네 단계로 구분할 수 있다. 첫째, 기존에 연구된 생태적 도시계획 과정 및 절차를 검토, 정리하였다. 둘째, 한국을 포함한 성공적 사례를 검토함으로써 베트남에 적용 가능한 전략과 친환경적 개발 요소 등을 도출하였다. 베트남과 비슷한 경제발전 과정을 거친 한국의 일산, 분당 등 생태도시 사례로 부터 네 가지 전략을 도출하였다. 셋째, 대상지 분석 및 토지적합성평가를 실시하였으며 절대보전, 상대보전, 개발가능 지역 등을 도출하였다. 마지막으로 앞의 세 단계를 토대로 생태적 신도시건설을 위한 토지이용계획을 수립하였고, 블루네트워크(수체계), 그린네트워크(녹지체계), 화이트네트워크(바람길체계), 휴먼네트워크(자전거 및 보행도로체계), 문화네트워크(역사자원체계)의 다섯 가지 네트워크개념을 적용하였다. 각 네트워크별, 각 네트워크간의 연결 및 순환을 강조함으로써 현존하는 자연적 문화적 자원을 보전, 신도시의 가치로 창출되게 하고자 하였다.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.701-710
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• 2018

In the 4th Industrial Revolution, it is a time when all the devices and people interact to create new added value. Software education is necessary in elementary school because what is more important is software. However, until now there is a lack of teaching and learning methods for software education in elementary school. In this paper, IDOL model is proposed as a method to solve this problem. statements for elementary students. The idol model is learning through observe, to implement, to diversify. In the implementation, the elementary students are to make it quickly, In the diversification, it is variously changing the things that have been made, and observation how the changed things are different. A model is verified by a group of experts consisting of elementary school teachers.