• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.1050-1072
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• 2011

It is well known that international cooperation is considerably more difficult because of the difference of interests, level of technology of the partners, social and culture as well as various macro-environmental conditions. This case study aims to investigate the success factors of international R&D collaboration between two firms. For it, an in-dept interview was conducted to the Etri-Microsoft Information Security Lab. A comprehensive research on theories, such as resource-based theory, network theory, relationship marketing theory and market power perspective was done as well. The results show clear objectives, communications based on trust, core competence on which the counterpart can rely on, consideration on the government decision process as well as the environment are important for success.

• Nuclear Engineering and Technology
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• v.38 no.6
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• pp.505-534
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• 2006

Ensuring sufficient supplies of clean, economic and acceptable energy is a critical global challenge for the 21st century. There seems little alternative to a greatly expanded role for nuclear power, but implementation of this option will depend on ensuring that all resulting wastes can be disposed of safely. Although there is a consensus on the fundamental feasibility of such disposal by experts in the field, concepts have to be developed to make them more practical to implement and, in particular, more acceptable to key stakeholders. By considering global trends and using illustrative examples from Japan, key areas for future R&D are identified and potential areas where the synergies of international collaboration would be beneficial are highlighted.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.356-365
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• 2017

Most studies of the effects of corporate patents on managerial performance conducted to date have been based on internally-generated patents. However, global pharmaceutical and biotechnology companies acquire patents not only from internal research and development (R&D), but also through university-industry collaboration and purchase. Focusing on this issue, our study collected patents from various sources, including internal R&D, purchased patents, and university-industry collaboration, to examine the real effects more accurately. Additionally, our study used a finite time lag model to consider the time lag between patent and corporate performance. The results of the quantitative analysis of the relationship between patents and corporate financial performance revealed that patent quantitative levels had less impact on sales than other types. However, quantitative patents levels appeared to have a significant impact on market value. Moreover, quantitative patent levels appeared to moderate impact on corporate profit. Patents acquired by internal R&D had the greatest impact on market value, while purchased patents had the greatest impact on corporate profit and sales. The purchased patents had a significant effect on financial performance in the pharmaceutical and biotechnology companies because of the long time required and expense associated with R&D. Overall, the results of this study provide the basis for global pharmaceutical and biotechnology companies to configure an optimal patent portfolio.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.37-52
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• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.217-230
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• 2012

To look at Korea trade environment, as increasing the quantity of goods transported in North-East Asia and deepening national competitive, information-oriented logistics environment is needed. That means it is automated work process and can provide value-added service. To do this, logistics business can be efficiently handled through "Electronic Means for the Clearance of Ships" and electronically data processing. Also, by increasing the risk of international terrorism, regulation regarding to logistics security has strengthened around the advanced country, such as USA and EU, etc. or international organization, such as IMO, ISO, etc.. Furthermore, because trade and logistics environment is changing and security becomes more important in logistics area, movement or status information of goods within the port or in entry in/out becomes more and more be needed in real time. In case cross-border logistics activities, international cooperation or agreement between countries is very important. However, different opinions much happened on defining the interface. If to follow one format or type using at a specific country or organization, it was occurred to difficulty in respect of interoperability as well as additional costs or time. Therefore, this paper proposes common interface model to exchange information for the efficient global SCM for using by the output of Korea R&D project, "National Logistics Standardization System Development".

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.389-396
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• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.215-224
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• 2012

The purpose of this study is to investigate the external collaboration factors that affect the performance of Korean venture businesses. We use 1,567 firm data (from Venture Business Survey by Small & Medium Business Administration) and analyze the effect of the external collaborations with large business, research institutions, other small business, and foreign companies, on their sales increase between 2008 and 2009. Our analysis shows that Korean venture business' collaborations with research institutions or foreign companies increase their sales statistically significantly, while their collaborations with large business decrease their sales significantly. In the mean time, their collaborations with other small businesses show no significant result. Additional analysis on the collaboration categories between venture businesses and large businesses shows that collaborative R&D, employee training and collaborative marketing help venture business to increase their sales significantly, while financial collaborations have a significant negative effect on sales increase. Technology transfers and profit-sharing mechanism have no significant effect. The result shows that venture business' collaborations for the increase in the fundamental capability of innovations and for searching new markets rather than simple transfer of technology or financial collaborations, have significant positive effects on the increase in sales.

• Journal of Korea Technology Innovation Society
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• v.17 no.3
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• pp.563-583
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• 2014

We classified collaboration types of Government-supported Research Institutes (GRIs) in Korea to make a creation knowledge with the openness and the diversity. The openness is described to collaboration dependence and leading intensity, and the diversity is expressed to collaboration diversity and collaboration concentration. We suggest four taxonomy models explained in terms of the openness and the diversity with country level and institute level. This study uses 39,507 papers in SCOUPS DB that include author(s) affiliated to 26 GRIs. It concludes that many GRIs is classified to the type of multilateral collaboration follower in institute level and to the type of global network player in country level from the perspective of openness. In the aspect of diversity, many GRIs is concentrated to the collaboration type of picky eater or monophagous in institute level and to the multinatioal asymmetry type or non-multinational asymmetry type in country level. It is necessary for GRIs to lead collaboration and to transfer inhouse R&D institutes with high performance to be competitive institutes which make high quality knowledge.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.135-155
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• 2022

Purpose - The purpose of this study is to examine how a broad palette of government support measures and firms' membership in government-developed clusters are related to firms' openness in innovation processes. Design/methodology/approach - Empirically, this study analyzes the Korea Innovation Survey 2018 data on the innovation activities of 1,450 Korean R&D-active manufacturing firms in a three-year period from 2015 through 2017. Findings - The results suggest that firms engage in open innovation to a greater extent--as measured by the breadth of external collaborating partners and of the utilized external sources of knowledge--when they are provided with a broader palette of government support measures and are located in government-developed clusters. However, the effect of diverse government support measures is attenuated for firms located in these clusters. Research implications or Originality - This study contributes to the innovation literature by illuminating how firms' open innovation can be understood in a national innovation system. Moreover, it provides valuable implications for firms seeking to obtain government support and collaborate with others.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.120-128
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• 2017

More people travel oversea as the economic size of Korea is getting larger and more new jobs are requested to be created by the society. To respond to these trend and request, Incheon International Airport Corporation (IIAC) is about to expand its processing capability with a new terminal; 54 million passengers to 72 million. IIAC is also introducing new strategies such as open innovation (OI) and creating shared value (CSV). With these changes, IIAC faces new challenges of restructuring its business and organization with new ideas. Most organizations including IIAC are becoming more dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the OI paradigm which is reported as a convincing strategy to improve competitiveness in terms of budget and time-to-market. OI is to quickly react to the rapidly changing business environment and is adopted to support startup incubation. In the previous research with IIAC, three major tasks were defined; utilizing the IIAC brand power for external vendors, building a technology road-map, and introducing a collaboration support system. This paper deals with the collaboration system as proposed in the previous research. We focused on the collaboration process for startup incubation. Cases were studied; the K-startup model by the government, a university model to explore youth startups, and a R&D institute model to study professional startups. Based on the case studies, we defined an IIAC model and proposed issues to take care of. The model is distinguished from the other studied models since IIAC is a prospective customer of new technology.