• 한국실내디자인학회논문집
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• 제22호
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• pp.132-138
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• 2000

Internet services are utilizing a variety of server/client technologies. In particular internet technologies provide improved accessibility to information for facility management customers and users for the systems. This study is the architectural data exchange system development more effective management and accept using on Internet web environment. This paper is the explore the use of computers in architectural planning that how the information may be extracted drawing entered into database and exchanged architectural detail data interfaces. System support communication and interactive collaboration among designers through complex Building object during the Design. There are four part in collaborative design system. User Management system, Standard Database System, Project Database System and Interface system. All Data are recognizable format include drawing file and contents. Web/DB server supported communication and collaboration among partners in the building design and construction process. Collaborative Design system is provide new conceptual framework that exist in the Web.

• Journal of Information Technology Applications and Management
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• 제13권2호
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• pp.41-54
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• 2006

In this paper, we investigate the inter-organizational information systems effect to supply chain partnerships, and subsequently to the performance. The conceptual model for the causal relationships among interorganizational systems usage, interaction, partnership, and supply chain performances has been developed. Theoretical framework is based on the partnership research in relationship marketing area, and the interaction model from IMP group. The questionnaires are designed to test the hypotheses of the conceptual model. The survey result supports our hypotheses that collaborative IT effects to increase the interaction between the firms, and interaction causes to enhance the partnership quality. Also, the level of partnership shows strong positive correlation with the supply chain performances. Despite the limitations of collected sample data size, our study reveals the fact that inter-organizational information systems contribute to supply chain performance through enhancing the interaction and partnership level between the supply chain partners. Our research result is distinct from the most extant literatures that investigated the firm's collaboration impact on interorganizational systems usage.

• 천문학회보
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• 제42권2호
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• pp.59.1-59.1
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• 2017

The Subaru telescope is a 8.2m optical-infrared telescope operated by National Astronomical Observatory of Japan since 2000. Its wide field observation capability with good image quality makes the telescope one of the best astronomical facilities. We Subaru Telescope is seeking for international partners for the telescope operation to share science observations, future strategy and development. In the course of this effort, EAO and us exchanged a letter of intent on the planning of collaboration on the Subaru operation in this June. I introduce the contents of the Subaru-EAO LOI and the basic concepts of the Subaru international partnership in addition to a brief report of the current status of the observatory.

• Korean Journal of Health Education and Promotion
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• 제1권1호
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• pp.95-117
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• 1999

As the nation is moving into the 21st century, the fundamental challenge facing local health departments in the United States is to improve the quality of peoples lives by preventing disease, injury, and disability through collaboration with public and private partners. During this century, life expectancy in the United States has increased remarkably from less than 50 years at the turn of the century to 79 years for woman and 72 years for men (CDC 1999; Bunker et al. 1994). Major portions of this gain can be attributed to advances in public health. (omitted)

• Journal of Information Technology Applications and Management
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• 제15권4호
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• pp.159-188
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• 2008

This study suggests strategies which can enable to creation of new opportunities of competitive advantages while operating a long lasting and consistent business with major trading partners, based on interorganizational information systems (IOISs) specially established and installed for interorganizational transactions. Nowadays, IOISs based mechanism having been widely expanded as a conventional business infrastructure for the interorganizational transactions and/or exchanges, it is customary difficult to obtain any strongly sound advantage over the competitors who have adopted even the simplest deployment of the IOIS mechanisms. In this connection, this study intends to investigate the interorganizational collaborative activities conducted by under the auspicious of IOISs, focused on the prospect of the exploitation of IOISs rather than the implementation of the IOISs. In this study, we, firstly, suggest the concept of Electronic Collaboration which can be defined by the collaborative activities conducted by IOISs, compared to the ones conducted on off-line. In addition, we suggest the Electronic Collaboration as a multi-dimensional concept, constituted by three sub-constructs, the Electronic Information Sharing (EIS), the Electronic Joint Activity (EJA), and the construction of the Electronic Relational Knowledge Store (ERKS). Secondly, we empirically verify the effects of relational and environmental determinants on the Electronic Collaboration. In this study, the relational determinants relate to the variables created in interorganizational relationship like Trust, Influence, Relational Specific Asset-asset invested for the transaction-, and Continuity of the relationship. On the other hand, the environmental determinants relate to the variables surrounding the relationship which are difficult to control. We consider Product Complexity, Technological Uncertainty, and Market Variability as the domain of the environmental determinants. To test our hypotheses, we conducted both paper-based survey and online-based survey. After refining the data with missing responses, a total of 150 data was used for analysis. The results were as follows : Firstly, it is statistically significant that the Electronic Collaboration is composed of EIS, EJA, and ERKS. In particular, the results imply that the firms are able to accumulate relational knowledge base as well as to exchange information or knowledge, and to conduct joint activities through effort to further expand the Electronic Collaboration. Secondly, we have verified the individual effects of the relational and the environmental determinants on the Electronic Collaboration. Product Complexity has been revealed as the most influential variable affecting the Electronic Collaboration. Next, Interorganizational Trust and Technological Uncertainty, in that order, have been seen to have significant effects on the Electronic Collaboration. In other words, when products or services seem to be difficult to standardize, and the core technologies seem to rapidly change, the need for the Electronic Collaboration increase. In addition, the observation dictates that the interorganizational trust turns out to be a critical variable in building a relationship and in seeking further collaboration. The results, further, illustrate that the environmental determinants are relatively more effective than the relational determinants, which is not consistent with a few prior researches relational determinants emphasized. It is because this study doesn't consider the size of the firm. A few researchers have given an emphasis on the relational determinants like trust and influence, especially from the perspective of small firms in interorganizational relationship. However, in our study, where all the sizes of the firms are contained, electronic collaboration is considerably affected by the environmental determinants.

• 아태비즈니스연구
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• 제10권2호
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• pp.1-12
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• 2019

Collaborative research and development (R&D) has been encouraged based on the belief that knowledge spill-over is mutually beneficial for partners. Although the benefits are supported by science and technology policy research, the risk of R&D collaboration has not been extensively discussed. Two independent studies suggest that there are risks associated with the overuse of collaborative research frameworks. Two sets of R&D collaboration data were analyzed: between the national bio-technology research program and 1) Data Envelop Analysis (DEA), and 2) between Stochastic Frontier Analysis (SFA). In the case of SFA, output measures were integrated into a single output, with weights extracted from research programme managers' responses to the questionnaire. While the DEA result demonstrated the inefficiency of collaborative research, SFA did not. Unlike previous research highlighting risks associated with disclosing proprietary R&D and potential conflict of interest, our study indicates that the transaction's social cost affects collaborative research efficiency. Therefore, governments promoting R&D collaborations should be carefully managed, and policy makers must reconsider the strict conditions governing compulsory collaborative R&D programs.

• 기술혁신학회지
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• 제15권3호
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• pp.533-556
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• 2012

본 연구는 국내 벤처기업들의 외부 협력이 그 협력의 대상 및 협력 내용별로 벤처기업의 혁신성과에 미치는 영향을 "벤처기업실태조사" 중 1,015개 벤처기업 자료를 활용하여 실증적으로 분석하였다. 분석 결과, 벤처기업과 연구기관 및 다른 중소 벤처기업간의 협력은 벤처기업의 혁신성과(지적재산권 보유 출원수)에 긍정적인 영향을 미쳤고, 대기업과의 협력은 중규모 이상의 벤처기업에서만 긍정적인 영향이 있었다. 또한 벤처기업과 대기업간의 협력의 경우, 공동기술개발 및 기술지도 이전 협력은 벤처기업의 혁신성과에 긍정적인 효과를 미친 반면, 직원교육 인적교류 및 공동마케팅 활동은 부정적인 효과를 미쳤다. 한편, 대기업과 거래관계에 있는 벤처기업이 공동기술개발 및 기술지도 이전 협력을 하는 경우에는 그 혁신성과 제고효과가 더 컸으며, 거래관계가 없는 대기업과 공동기술개발 및 직원교육 인적교류 협력을 하는 경우에는 오히려 혁신성과에 부정적인 영향을 미쳤다. 본 연구의 결과는 벤처 기업의 외부협력은 벤처기업의 규모, 협력의 대상 및 그 협력활동의 내용과 거래관계의 유무 등에 따라 달라진다는 것을 보여주고 있어, 향후 대 중소기업간 협력정책 등 벤처기업의 외부협력 촉진정책 추진시에 고려해야 하는 요소들에 대한 시사점을 주고 있다.

• 기술혁신학회지
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• 제20권1호
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• pp.1-33
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• 2017

본 연구는 기술집약적 중소기업인 벤처기업이 외부주체와 수행하는 R&D협력에서 협력성과 강화요인을 규명하기 위해 수행되었다. 이를 위해 벤처기업의 기업가적 지향성과 협력주체 간 사회적 자본의 역할을 고찰하고, 각 요인이 협력성과에 미치는 영향을 실증적으로 분석하였다. 협력성과는 R&D협력을 통해 개발된 기술이 기업의 경쟁우위에 기여하는 정도를 의미하는 기술경쟁력과, 해당 기술을 상업적으로 활용하여 달성한 기업성과로 구분하였다. 설문조사를 통해 R&D협력을 수행한 벤처기업을 대상으로 설문조사를 하여 총 218개 표본기업의 응답데이터를 분석하였다. 그 결과, R&D협력에서 벤처기업의 기업가적 지향성과 협력주체 간 사회적 자본은 협력성과 창출에 긍정적인 영향을 미치는 것으로 나타났다. 또한 사회적 자본은 기업가적 지향성의 형성에 기여하며, 기업가적 지향성은 사회적 자본과 협력성과의 영향관계에서 완전매개의 역할을 담당하는 것으로 나타났다. 이상의 분석을 통해 [사회적 자본-기업가적 지향성-협력성과]의 R&D협력성과 창출구조가 작동한다는 사실을 확인하였다. 본 결과가 내포한 학문적 및 실무적 의의는 결론에서 상세히 기술하였다.

• 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.

• Journal of Information Technology Applications and Management
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• 제10권3호
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• pp.121-142
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• 2003

Most of companies related to the area of B2B electronic commerce are making their efforts to innovate their existing business process into new designed process based on the concept of virtual enterprise. Virtual enterprise can take on many forms and definitions. Nevertheless, the rationale for this business model is clear cooperate to compete, the virtual organization advocates collaboration, partnerships, alliance and similar ideas. This studyintends to suggest an empirical clue to test several hypotheses related to the influence of environmental. organizational, and technological factor to the successful implementation of virtual enterprise in automobile industry. This research surveyed 91 corporations in Korean automobile part industry. Among those samples 86 data of corporate general managers turned out to be statistically valid. This study performed the factor analysis, Cronbach-alpha test. Pearson correlation analysis for testing the validity and the reliability of this research. The results of factor analysis and reliability test indicate that thirty issues to be surveyed are to be grouped into nine factors. The result of multiple regression shows that the influencing factors of eight independent variables on a dependent variable are cooperation between partners, information intensity, IT compatibility, IS maturity. The partners in the strategic alliance will have to trust each other in carrying out their designated roles and responsibilities. and supplying the correct information critical for creating value in virtual business environment.