• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.87-94
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• 2020

In this study, the factors affecting the efficiency of 48 projects of private R&D institutes were analyzed using the Tobit model. Influencing factors were selected as open R&D network size, IT industry, interaction between R&D network size and IT industry, and type of R&D network cooperation. As a result of Tobit analysis, the R&D network size, the IT industry, and the type of R&D network cooperation were found to be significant. The larger the open R&D network size, the lower the efficiency, and the IT industry showed lower R&D efficiency than other industries. In addition, cooperation with universities and research institutes showed lower R&D efficiency than cooperation with companies. As a result of these studies, companies will be able to select and focus on cooperation with the outside in relations and investment allocation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.627-629
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• 2016

Open source software when promoting development in R&D has many advantages and is becoming an open software - based R&D projects continuously created in a number of countries. However, there are still limits to the creation of effective performance in R&D projects, as well as difficulty of the project implementation because it not yet established an appropriate management plan for the open source R&D projects in the public sector. Therefore, through investigating a number of previous studies and practices, we intend to enhance the effectiveness of the system by suggesting concrete measures for promoting and managing open source nature in a preperiodic point of view on the public sector open source software R&D projects.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.29-42
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• 2010

To improve the performance of R&D investments, government has taken great efforts for advancing the structure and process in R&D systems. However, due to the drastic internal/external changes in the technological environment and the steady increase of investment scale, the necessity for a innovative approach which accomplishes returns to scale through the utilization of various external resources is emerging. In this regard, open innovation approach can minimize the possibility of government failures by strengthening the absorptive capacity of external resources and enhancing the cooperation and participation of diverse innovative participants within the R&D system. This paper evaluates the previous researches and government policies concerning the performances of government R&D investments, and presents the connectivity between open innovation and its possible contribution to the improvement of R&D investment performances.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.36-45
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• 2020

The method and process of research and development (R&D) is changing when we develop artificial intelligence (AI), and the way R&D results are dispersed is also changing. For the R&D process, using and participating in open-source ecosystems has become more important, so we need to be prepared for open source. For product and service development, a combination of AI algorithm, data, and computing power is needed. In this paper, we introduce ETRI AI Strategy #4, "Expanding AI Open Platform." It consists of two key tasks: one to build an AI open source platform (OSP) to create a cooperative AI R&D ecosystem, and another to systematize the "x+AI" open platform (XOP) to disperse AI technologies into the ecosystem.

• Knowledge Management Research
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• v.23 no.4
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• pp.177-205
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• 2022

Small- and medium-sized enterprises (SMEs) have strong incentives to engage in open innovation to enhance innovation efficiency and effectiveness due to their 'liability of smallness.' Previous research examined the performance effects of various open innovation practices, but whether coupled open innovation practices positively affect SMEs' firm performance is somewhat controversial. To resolve the issue, this study examined the effects of coupled open innovation activities on SMEs' firm performance using Heckman's two stage model to control endogeneity of the firms' self-selection bias in open innovation engagement. This study used the Korean Innovation Survey (KIS) 2020 collected by the Science and Technology Policy Institute (STEPI), and tested the effects of SMEs' coupled open innovation activities, R&D and non-R&D cooperation, on their innovative and financial performance indicators. The results showed that SMEs' R&D cooperation positively affects the new-to-market (NTM) product innovation only. Moreover, SMEs' non-R&D cooperation has positive effects on the product innovation, business process innovation, new-to-the-market product innovation, and new-to-firm (NTF) product innovation. However, the results showed that both R&D and non-R&D innovation cooperation activities have no significant effects on SMEs' financial performance indicators. This study contributes to research on SMEs' open innovation and provides insights for SMEs' managers and policymakers.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.69-76
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• 2017

Recently, it is difficult for a firm to survive and maintain sustainable competitive advantage through internal R&D only, because changes in the environment are very fast and complex. Accordingly, the paradigm of open innovation is gradually emphasized, and the ratio of external R&D has been increasing in various industries. This study analyzed open innovation through Korean Innovation Survey (KIS) data from Science and Technology Policy Institute (STEPI). We confirmed the ratio of open innovation based on firms of the manufacturing industry in South Korea, and examined the relationship between open innovation and innovation performance. This study suggests that open innovation is not a new paradigm that did not exist in the past. While the use of government support programs positively influence innovation performance, the use of external R&D doesn't influence innovation performance due to the difficulties associated with managing it. The results of this study will be used to establish the strategic direction and support the decision making when firms conduct innovation activities in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.149-161
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• 2012

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.47-66
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• 2013

Recently, with the diffusion of a new paradigm named as the creative economy, the government's interests and efforts regarding support of SMEs' R&D have been concentrated. In particular, due to the dominant perception that the fundamental science and original technology from government-funded research institutes can further enhance the capabilities of SMEs' R&D, the importance of performance's diffusion on national R&D is further emphasized. In fact, the domestic SMEs don't have enough budget and workforce, so that all of self-contained technologies, product's competitiveness as well as the R&D capabilities, are very vulnerable, and thereby SMEs' commercialization is very likely to fail. For this end, SMEs need to adopt the concept of open innovation as the use of external R&D resources by licensing. In this study, we conducted a survey on a total of 286 domestic IT SMEs, and analyzed empirically to compare the degree of their acceptance on technological innovation between two groups divided by open/not-open innovation. As a result, we drew some of the key factors influencing the acceptance of the SMEs' open technological innovation, and found a variety of implications through them.

• Journal of Advanced Navigation Technology
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• v.13 no.6
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• pp.998-1010
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• 2009

Open Innovation is expanding worldwide as a new paradigm for technology development strategy to maximize return on investment of R&D according to recent change in knowledge environment. Although the interest in Open Innovation is increasing in domestic ground, the actual circumstance of domestic research and study regarding Open Innovation are insufficient. This study on case indicates what types of preparation and consideration are needed to enforce Open Innovation as a means of important technology development strategy through certain processes, which are applied to a new product in terms of management of technology.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.306-316
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• 2010

The purpose of study is to promote the development of contents industry by analysing the causal relationship between R&D collaboration and firms' performance. In study, we use the number of intellectual property and total sales as proxy variables of performance. we use the degrees of collaboration experience, firms' interaction and degree of collaboration as proxy variables of independent variables. The results of study are as follows. First, collaboration experience and firms' interaction are positively influence on technological performance. Second, collaboration experience is positively correlated to economic performance. Finally, firms' R&D collaboration revealed higher performance than R&D collaboration of firm and R&D institution This study emphases on the importances of R&D collaboration for developing new technology and improving economic performance.