• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• 한국분말재료학회지
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• 제29권2호
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• pp.166-175
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• 2022

Ppuri or Root technology primarily includes technologies such as casting, mold, plastic working, welding, heat treatment and surface treatment. It is regarded as an essential element for improving the competitiveness of the quality of final products. This study investigates the current status of smart factory implementation for Ppuri companies and analyzes the influencing relationships among various company factors. The factors affecting smart factory implementation for Ppuri companies are sales, exports, number of technical employees, and holding corporate research institutes. In addition, this research shows that even if smart factory implementation is pursued for data collection, data utilization is not implemented properly. Thus, it is suggested that the implementation of smart factories requires not only the availability of facilities and systems but also proper data utilization.

• 대한산업공학회지
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• 제40권5호
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• pp.462-476
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• 2014

The Korean government has been implementing diverse policies with programs to generate better outcomes and results of university-industry collaboration since 1990s. In this paper, we analyze the effect of universities' competency factors on the performance of technology commercialization and start-ups respectively. We employ multiple regression models using 154 data sets from university information posting system of the Korean Council for University Education. Through conducting statistical analyses with diverse data manipulations, we obtained a high degree of significance on hypotheses, and also could compare mutual differences between the effects of university competence on technology commercialization and start-ups. The technology transfer and commercialization specifically depends on professors' patent applications and technology holding company, while start-ups does professionals in industry-university cooperation. We suggest government to spur on the ongoing customization of university-industry collaboration policy, and university to properly cope with global atmosphere changing from ivory tower to academic capitalism and start-ups promotion.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.311-314
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• 2005

Supply chain optimization is one of the most important components in the optimization of a company's value chain. This paper considers the problem of designing the supply chain for a product that is represented as an assembly bill of material (BOM). In this problem we are required to identify the locations at which different components of the product arc are produced/assembled. The objective is to minimize the overall cost, which comprises production, inventory holding and transportation costs. We assume that production locations are known and that the inventory policy is a base stock policy. We first formulate the problem as a 0-1 nonlinear integer programming model and show that it can be reformulated as a 0-1 linear integer programming model with an exponential number of decision variables.

• Journal of Animal Science and Technology
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• 제44권3호
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• pp.361-368
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• 2002

한국산 수출용 냉동 돈육의 품질 특성을 조사하기 위해 수출 육가공업체 3개소(Ⅰ . Ⅱ . Ⅲ)의 냉동 돈육 등심을 -20$^{\circ}C$에서 40일간 냉동 저장한 후 각 수출업체별 시료의 pH, 일반성분, 이화학적 특성, 관능적 특성, 선도 및 미생물 변화를 조사하였으며, 그 결과는 다음과 같다. 일반성분에서 조단백질은 Ⅱ업체 시료가 유의적(p<0.05)으로 높았고, 조회분은 Ⅰ업체 시료가 유의적으로 높았다. 육질 특성에서 pH와 보수성은 Ⅱ업체 시료가 유의적으로 높았으며, 전단력과 가열 감량은 Ⅱ업체 시료가 가장 낮았다. 총세균 수는 3.04${\sim}$3.75 log cfu/$cm^2$, 대장균군 수는 0.37${\sim}$1.32 log cfu/$cm^2$ 수준이었으며, TBARS 값은 평균 0.35${\sim}$0.38 mg malonaldehyde/kg sample 수준으로 비교적 낮았다. 척도묘사평가법을 이용한 관능검사 결과 세 업체 모두 평가 항목간에 유의적인 차이가 없는 것으로 나타났다.

• 기술혁신학회지
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• 제16권4호
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• pp.1055-1089
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• 2013

오늘날 대학의 주요 임무 중의 하나가 산학연 협력 및 교류를 통한 사회적기여 활동이다. 특히 보유기술의 이전 및 사업화를 통한 산업발전의 지원과 이를 통한 수익창출 활동은 대학의 중요한 사명으로서 인식되고 있다. 이와 같은 대학 연구 성과의 확산 및 산학연 협력의 주요 수단이 기술이전 사업화 전담조직을 설치 운영하는 것이며, 우리나라는 2000년대 이후 관련 정책을 본격 추진해나가고 있다. 그러나 제도운영의 역사와 경험이 아직 충분하지 못하고, 일부 제도상의 문제점들도 제기되는 등 아직은 활성화되지 못하고 있는 것으로 평가되고 있다. 이에 본 논문은 우리나라 대학의 기술이전 사업화 전담조직 운영에 관한 제도의 발전 및 그동안의 성과를 분석하고, 현행 운영제도상 제기되는 몇 가지 법제도적 문제점들을 검토하여 발전적인 개선방안을 제시해보고자 한다.

• 공학교육연구
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• 제15권4호
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• pp.14-20
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• 2012

The Regional Cooperative Development Center (RCDC) at Tokushima Bunri University was established in 2005. The role of the RCDC is to make a social contribution and to assist in the development of human resources. The RCDC has made contributions to society by organizing meetings to facilitate the exchange of technology, holding public lectures, supporting joint research projects, providing technical assistance for manufacturers, making available the free use of equipment owned by the university and so on. Additionally, the RCDC has put much effort into giving undergraduate students internship opportunities at industries in the eastern part of Kagawa Prefecture (the TOSAN area) in Japan. The RCDC also trained a contracted researcher from a small company about the creation of intellectual property, including how to conduct a patent prior art search, how to prepare a patent specification, etc. The RCDC has worked in partnership with industry, Sanuki City Society of Commerce and Industry and Higashi-Kagawa City Society of Commerce and Industry in order to revitalize local communities.

• 벤처창업연구
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• 제18권3호
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• pp.33-43
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• 2023

본 연구는 대학의 자원과 제도가 교수의 창업과 그 성과에 어떤 영향을 미치는지 분석하기 위하여 한국의 134개 4년제 대학의 2017년 부터 2021년까지의 패널 자료를 분석하여, 창업생태계의 중요한 요소로 자리매김하고 있는 대학이 그 소속 교수의 창업과 창업기업의 경영성과에 미치는 영향을 도출하였다. 본 분석에서는 종속변수로 교수창업기업 수, 교수창업기업의 근로자 수, 그리고 교수창업기업의 매출액을 사용하였고, 독립변수로는 연구 및 사업화 자원의 규모, 창업휴직 허용기간, 기술지주회사 및 창업지원조직의 존재와 규모, 그리고 연구 논문 및 특허 실적을 활용하였다. 분석 결과는 교수들의 창업 활동을 개시하는 데 영향을 미치는 요인과 그 창업기업의 경영성과에 미치는 요인에는 다소 차이가 있다는 점을 보여주었다. 교수창업기업수에 유의하게 영향을 미치는 요인들은 창업지원조직 규모와 기술지주회사 보유 여부, 그리고 창업휴직 허용기간이었고, 교수창업기업의 고용에 유의하게 영향을 미치는 요인들은 사업화 자금의 규모 및 기술지주회사 보유 여부였다. 한편, 교수 창업기업의 매출액에 유의하게 영향을 미치는 요인들은 해외유명저널 게재 논문건 수와 사업화 자금의 규모 및 기술지주회사 보유 여부였다. 본 연구의 시사점으로는, 교수의 창업을 촉진하기 위하여 대학의 인사제도와 지원체제를 갖추면 교수의 창업 활동이 늘어나지만, 교수 창업기업들의 고용이나 매출의 확대를 통한 성장을 위하여는 창업 아이템의 근원이 되는 우수연구의 장려와 함께 사업화 자금의 확대가 필요하다는 것이다. 또한, 교수들의 창업이나 경영 활동에 있어서 기술지주회사의 역할이 중요하다는 점도 검증되었다. 따라서 교수창업 활성화를 위하여 대학의 제도나 인프라도 중요하지만 창업기업의 활발한 성장을 위하여는 우수한 연구 활동이 기반이 되어야 한다는 것이다.

• 디지털융복합연구
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• 제17권8호
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• pp.81-88
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• 2019

본 연구는 학생이나 연구원과는 다른 신분, 위험감수 성향, 창업 동기가 있는 교수의 기술창업에 초점을 맞추어 국내 현황과 장애 요인을 분석하고 활성화 방안을 제시한다. 이를 위해 기존 문헌에 등장하는 기술창업과 사업화 중에서 교수 기술창업의 가치, 해외사례, 관련 연구를 분석하고, 핵심 이해당사자인 대학의 지주회사, 산학협력단, 교수, 그리고 투자사를 대상으로 심층 인터뷰를 진행했다. 이제 막 태동기에 있는 국내 교수창업은 제도적, 경제적, 실행적인 면에서 장애 요인을 갖고 있다. 교수창업을 활성화하기 위해서는, 학교와 창업교수 간의 합리적인 인센티브 분배 규정을 사전에 정하고, 공공이 주도하고 여러 대학이 참여하는 기술지주회사 혹은 사업화 펀드를 설립하며, 제안받기보다 기회는 찾아가서 발굴하고 투자 후 전주기적으로 지원하며, 초기 개념검증과 상품 개발단계에 기업이 참여하여 시장성과 기술성을 높이는 역할을 해야 한다. 본 연구는 교수창업과 관련한 정책 입안자, 산업 종사자, 대학 및 교수에게 실용적인 시사점을 제공할 것이다.

• 한국전자통신학회논문지
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• 제14권1호
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• pp.111-118
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• 2019

다수의 정보보안을 위한 자산을 보유한 기업으로부터 보유 정보에 대한 운영과 관리차원의 현장 진단과 실태 점검 지표 및 각종 보안성 확보 기준들을 구성하고 이를 기반으로 정보자산의 분류를 시작하게 되었고 정보자산의 운영 및 관리 정책과, 서비스, 보유 디바이스의 물리적 자산관리, 응용소프트웨어 및 플랫폼에 대한 논리적 자산관리에 이르기까지 많은 영역으로 확대되고 있다. 이러한 정보자산 중 일부는 사물인터넷과 같은 새로운 분야의 신기술로써 이미 현실에서 운영되고 있다. 물론 일반 가정에서도 스마트홈과 같은 다양한 전자기기들을 사용하고 이러한 기기들이 과거와는 다르게 정보를 축적하고 가공하는 등의 일련의 정보 라이프 사이클이 존재하게 되었다. 뿐만 아니라 유통까지도 실현되는 지금 무엇보다도 해당 정보자산과 자산이 보유한 정보의 안정성을 확보해야 하는 과제가 도출되었다. 따라서 본 논문에서는 기업으로부터 가정에 이르기까지 보유한 정보자산에 대한 표준 보안정책 모듈화 기법을 제안하고 이를 적용함으로써 기밀성과 무결성 증대를 확보하는 연구를 하고자 한다.