• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.501-509
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• 2011

In this paper, we offer a new strategic Portfolio Model for national IT R&D project selection in Korea. A risk and return (R-R) Portfolio Model was developed using an objectively quantified index on the two axes of risk and return, in order to select a strategic project and allocate resources in compliance with a national IT R&D strategy. We strategize using the R-R Portfolio Model to solve the non-strategy and subjectivity problems of the existing national R&D project selection Model. We also use the quantified evaluation index of the IT technology road map (TRM) and the technology level Survey (TLS) for the subjectivity of project selection, and try to discover the weights using the analytic hierarchy process (AHP). In addition, we intend to maximize the chance for a successful national IT R&D project, by selecting a strategic Portfolio project and balancing the allocation of resources effectively and objectively.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.167-191
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• 2014

This study emphasizes the importance of the mission concept in managing the public programs by the government rather than the existing quantitative output. To this end, a case study for 7 representative National R&D Programs in Korea is presented, based on the program portfolio model using the mission construct suggested by the prior researches, in order to give its empirical validity and strategic meaning. For the case analysis, the study devises the measures to evaluate the level of the mission in a program in the aspect of achievement and appropriateness. Real data collected from NTIS are analyzed in two ways: static and dynamic perspectives. The first is conducted by differences of mission values among programs and the latter by yearly differences. Finally, it concludes the implication and the shortcoming of the study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3196-3203
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• 2010

The regional strategic industry support has been increasingly developed due to the change of environmental and political conditions for the last 10 years. As the paradigm changed from the central government-sponsored system to regional government-sponsored system, the policy has been diversified into various support systems such as regional strategic industry, specialized industry, supporting technology, supporting business, etc. It is crucial to establish the overall development plans and project strategies for the regional industry in terms of effectiveness and efficiency which will generate an integrated strategic frame to adjust overlapped supporting policies and offer a consumer-oriented service. Not only does the study focus on performance-based outcome regarding to a regional business (supporting policy) portfolio, but it also analyzes and proves an empirical decision-making model to draw out the priority and relative importance according to the regional strategic industry and support cases by analyzing the case of Chungnam area's strategic industry support in 2009. Following a priority list of 20 support cases selected from this research model by the Analytic Hierarchy Process (AHP), the result shows that the diverse support plans are needed according to the different strategic industries or the size of enterprise due to the fact that priority of project type varies upon the characteristics of strategic industry. Thus, the support project needs to generate various strategic industries and develop differentiated support policy to consolidate competitiveness of regional enterprises and revitalize the regional economy.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.172-183
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• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.473-484
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• 2017

This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

• Korean Journal of Construction Engineering and Management
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• v.15 no.5
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• pp.22-30
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• 2014

This study undertakes a comparative analysis of the correlation between the condition of the domestic construction market and the expansion of overseas projects within construction companies, based on the vector error correction model. The analysis results verified that, in the post-IMF crisis period, domestic construction companies took on more overseas projects only when the residential construction market slowed down. Compared to the pre-crisis period, construction companies grew more responsive to the condition of the domestic market for residential construction, and they took on more overseas construction projects when the domestic market slumped. This is because the business portfolios of Korean construction companies' render them highly vulnerable to the condition of the residential construction market. When the domestic residential market slows down, the business condition of construction companies quickly takes a turn for the worse, and to cope with this, they turn to overseas projects to compensate for the slowing of the domestic market. As the analysis shows, expanding overseas construction projects as a way to turn around business condition amid a slow residential construction market actually undermines the management of the companies even further. In other words, shifting business focus toward an overseas market during a hard time might be useful for securing cash flow, but might not help to restore profitability. Thus, construction companies need to carefully manage their level of business diversification to ensure strategic flexibility.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.296-304
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• 2019

The Amazon Go was the catalyst of O4O era. O4O is an advanced business model from O2O, which is the integration of offline service to online, especially through smart phone network. We also find the O2O strategy of digital contents companies such as Kakao and Line. This study examined the relation between online character experience and offline purchasing intention on related character products. The SEM was designed on the former study that based on the theory of user experience and brand attitude. The result of this study shows that the users' online experience have influence on the purchasing intention of offline related products and there exist the mediating routes of satisfaction of user experience, brand preference and brand reliability. There are no statistical support to the relation between satisfaction of user experience and purchasing intention. These points illustrate what marketers better to focus on transmedia strategies.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.75-107
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• 2012

Previous researches on technological innovation have several limitations such as lack of general mechanism for technological innovation(inputs, throughputs and outputs of technological innovation), large company oriented studies, and ignoring importance of technology management capabilities. So, this study suggested a new model using resource-based theory and system theory, and empirically applied that to SMEs. Structural equation model analysis by using 223 SMEs in Daegu region provided a support for most of hypotheses. Research results showed that all of factors on technological innovation were significantly and positively related with each other: inputs(R&D leadership, innovation strategy, R&D investment, R&D human resource management, external network), throughputs(portfolio management, project management, technology commercialization) and output(technological innovation). In case of technological innovation inputs, R&D leadership influenced on innovation strategy positively and significantly. And R&D leadership and innovation strategy had positive and significant effects on R&D investment, R&D human resource management and external network. R&D human resource management and external network exerted positive and significant influences on technological innovation throughputs such as portfolio management and project management. But R&D investment did not significant impacts on technological innovation throughputs. Among technological innovation throughputs, both portfolio management and project management had positive and significant effect on technology commercialization. In addition, technology commercialization acted positively and significantly technological innovation output. This study suggests necessary of efforts to implement innovation strategy and manage R&D human resource effectively based on CEO's innovativeness and entrepreneurship. Also, if SMEs want to develop technology and commercialize it, they have to cooperate with external technology resources and informations. Research results revealed that proper level of R&D investment, internal and external communication, information sharing, and learning and cooperative culture were very important for improvement of technological innovation performance in SMEs. Especially, this research suggested that if SMEs manage technological innovation process effectively based on resource-based and system approaches, then they can overcome their resource limitations and gain high technological innovation performance. Also, useful policy support for technological innovation of central or regional government by this research model is important factor for SMEs' technological innovation performance.