• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.22-31
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• 2023

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

• Journal of Information Technology Applications and Management
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• v.22 no.1
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• pp.1-15
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• 2015

Software is not only control and operational technology of computer, various system, and machines, but also knowledge handling and service technology for production, storage, and utilization of digital information. Many nations invest enormous budget in SW R&D to acquire core and original technology, and commercialize. To select and concentrate on SW R&D investment by segmenting diverse functions and element technologies consisting of sw technology, introduction of evaluation and analysis methodology on technology level utilizing reliable patent and bibliometrics is demanded these days. The purpose of this paper is to suggest some analysis frameworks of national technology level in the field of sw technology. Another practical purpose is to verify sw technology policy using qualitative and quantative indicators of patent and bibliometrics.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.101-114
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• 2003

In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement, launched by the Australian Prime Minister in January 2001, commits an additional $3 billion over five years to encourage and support innovation. The Australian Government aims to build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity. It develops policies and programs to enhance investment in innovation. The Australian Government also undertakes analysis and comparisons of innovation policies, instruments and approaches to maintain a leading-edge National Innovation System. This includes analysis of the innovation activities of other nations, and evaluation of the impacts of innovation policies and programs on Australia's institutions and enterprises. This paper examines Australia's Innovation policies, Backing Australian Ability.

• Journal of Korea Trade
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• v.26 no.5
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• pp.23-38
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• 2022

Purpose - This research intends to find out whether R&D cost stickiness shows differentiated aspects depending on exports in Korea. A cost behavior that indicates a lower rate of costs decrease when sales decrease than the rate of costs increase when sales increase is called cost stickiness. This sticky cost behavior is caused by considering the adjusting costs. This study aims to empirically verify that R&D cost stickiness is greater in export firms than in non-export firms. We also investigate the effect of exports on R&D cost stickiness is nonlinear. Design/methodology - We obtain data for the analysis from Kis-Value and TS2000 from 2012 to 2020. This study tests for R&D cost stickiness of exports using the cost stickiness model developed by Anderson et al. (2003) that is used in a lot of prior literature. To explore the nonlinear behavior of R&D cost stickiness we include a quadratic term of exports in our model. Findings - The results of our analysis are as follows. First, we observed that R&D costs of export firms are more sticky than that of non-export firms. Our result indicated that export firms are less likely to reduce R&D costs in decreasing sales periods in preparation for future sales recovery. Second, our empirical evidence shows that export firms view R&D costs much favorably. However, we hypothesize that the effect of export intensity on R&D costs may not necessarily be linear. Our result shows the effect of exports intensity on R&D stickiness is thus nonlinear, forming a reverse U-shaped curve. When export intensity exceeds a certain threshold, the growth rate of R&D costs appears to be viewed negatively. Firms with relatively high export intensity do not support R&D costs, viewing them as taking away firms' resources from other more productive costs. On the contrary, those with export intensity under the threshold view R&D costs as beneficial and therefore promote further R&D costs when revenue decreases. Originality/value - The results of this research can contribute academically to the expansion of empirical research on R&D cost stickiness. R&D cost stickiness varies by industry. As a result of our research, the managers of export firms recognize the importance of R&D to lead innovation. We expected that this research contributes to further studies on R&D costs and cost stickiness. Second, this research has implications from a business perspectives. Our findings of export firms' R&D stickiness suggest that export firms' managers should consider keeping the stickiness of R&D when revenue decreases because it is essential for exporting firms to maintain their R&D stickiness to secure long-term competitiveness. R&D stickiness can be used on a practical basis to emphasize the need for continuous investment in exporting firms' R&D activities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.231-241
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• 2024

Discovering innovative startups that use public technologies from universities and government-funded research institutes is crucial for maintaining national competitiveness. Advancing public R&D technology, discovering entrepreneurs from research institutes, and fostering and investing in deep-tech startups are very important at the national level. However, there is a lack of research on activating startups using public technologies, and research analyzing each governance entity is needed to activate the innovation startup ecosystem. Therefore, this study conducted an empirical analysis of the priorities for revitalizing the innovation startup ecosystem among researchers, research institutes, innovative startups, and the government, which constitute the public technology governance. The results of this study revealed that the sustainability of innovative startups (0.308), government innovation startup activation (0.298), research institutions discovering and fostering startups (0.221), and researcher's characteristics (0.173) were the most significant factors in the public R&D technology innovation startup ecosystem. And the sub-factors of researcher's characteristics, seizing business opportunities (0.305) was most important, and creating a startup-friendly culture (0.293) was most important among the sub-factors of research institutions discovering and fostering startups. Investment funds and procurement (0.373) was the most critical sub-factor for the sustainability of innovative startups, while a dedicated fund for public technology (0.305) was the most important among the sub-factors of government schemes for promoting innovative startups. A total of 20 factors were analyzed sequentially according to their importance in the weights for evaluation factors and sub-factors. By sub-factor, investment and financing for innovative startups (0.115), dedicated government fund for public technology (0.091), securing high-quality human resources for innovative startups (0.078), improving government regulations and permits related to innovative technologies (0.074), and creating a startup-friendly culture in research institutions (0.065) were the most important. This result emphasizes the significance of securing competitiveness to become a sustainable public technology startup. In addition, based on entrepreneurship experience, 'dedicated funding for public technology' was most important for the group with startup experience, while the group with no experience needed more 'investment and funding'. Furthermore, By region, 'improving government regulations and permits' was the highest priority in the Seoul metropolitan area, while 'attracting investment and financing' was the most important in Daejeon. Therefore, the results of this research, it is important to give policy priority to innovative startup companies in order to activate the innovation startup ecosystem in the public technology sector. The political and practical implications were derived that long-term (10 years or more) investment and funding for deep tech companies and the establishment of public technology-only funds are the most urgent and important.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1387-1394
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• 2015

Recently, there is a growing interest in technical standardization all over industry, it is very important for survival in the global market to secure standard patent in almost all of company. Technology in construction industry is essential for quality of people's life and have large impact on national economy development. However, there is lack of investment and low interest in technical standardization in construction industry in comparison with another industries. Therefore this study aims at developing strategies for activating the standardization in construcion technology. Specially, this study carries market analysis and case study for domestic construction R&D Cases. Then, a structured survey and analysis is performed for standardization in construcion technology market to suggest alternative to secure national competitiveness.

• Journal of Platform Technology
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• v.10 no.4
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• pp.91-96
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• 2022

Recently, the importance of Research and Development(R&D) security as well as R&D investment is emphasized in the flow of technology hegemony competition, where technology is directly related to national competitiveness.However, despite the enormous impact of the R&D security failure results, research output leakage accidents continue to occur.To solve this problem, this study analyzed leakage accidents and cases of R&D output and concluded that it is priory to develop regulations to raise security awareness at the field researcher level rather than the macroscopic security management system. In addition, in order to design the direction of the researcher security measures, observational study was conducted at the university research site, and four directions were presented, including case analysis and integration. The direction for designing researcher security measures will be used as a basis for developing security regulations specialized in future research sites and security management systems for research institutes.

• Journal of Korea Technology Innovation Society
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• v.18 no.4
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• pp.590-620
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• 2015

Although the investment scale and the qualitative performance of national research and development project in Korea have been increased, the practical use of the performance is still insignificant. Thus it becomes more important to understand and analyze factors that affect commercialization of national R&D project. Most of prior literatures have done with qualitative research rather than data-based analysis; however, mostly focusing on influential factors in between R&D inputs and outputs and it remains as limitation. The important key to avoid the limitation in this study is using data-based analysis of factors (such as research performance, types of research institution, scale of the government fund, project structure, competency in the researcher, and technical field) that affect commercialization with the case of the Competitiveness Enhancement in Material and Component Industries. As a result, patents performance, scale of the government fund, and technical field turned out to be influential factors of commercialization. On the other hand, research performance, types of research institution, project structure, and competency in the researcher did not show statistically significant results. To increase commercialization in project scheme, process, and assessment of national R&D project, including the Competitiveness Enhancement in Material and Component Industries project, it is required to design scientific research with better understanding of causal relationship.

• Journal of Distribution Science
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• v.18 no.9
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• pp.31-43
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• 2020

Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.203-216
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• 2010

This study corresponds to an exploratory survey that identifies and organizes important decision factors for establishing R&D strategic portfolio in the application of digitalized Korean human-dataset. In the case of countries that have performed the above, the digitalized human-dataset and its visualization application development research are regarded as strategic R&D projects selected and supervised in national level. To achieve the goal of this study, we organize a professional group that reviews articles, suggests research topics, considers alternatives and answers questionnaires. With this study, we draw and refine the detailed factors; these are reflected during a strategic planning phase that includes R&D vision setting, SWOT analysis and strategy development, research area and project selection. In addition to this contribution for supporting the strategic planning, the study also shows the detailed research area's definition/scope and their priorities in terms of importance and urgency. This addition will act as a guideline for investigating further research and as a framework for assessing the current status of research investment.