• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.9-29
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• 2018

Japan's manufacturing is mostly dependent on the automotive industry in Toyota-Kariya cities. However, the nearby city of Hamamatsu is the home of a start-up ecosystem known as Japan's Silicon Valley. How is it possible to evaluate the innovative potential of each regional industry? What kind of guidelines exist for continuing R&D investment when companies' net incomes are negative in the face of the 'Valley-of-Death' or financial crisis? Is it possible to measure the regional resilience ability in the context of the financial crisis? Entrepreneurial innovation is defined as a real-option portfolio consisting of investment decision to commercialize R&D findings. The subcontractor system implies a vertical and tight industrial group. However, a start-up ecosystem means a platform for horizontal and flexible partnership. In this research, the data include the financial indices of each of 18 public companies in both regions between FY2009 and FY2017. The objective of this paper is to clarify the call option or resilience function of equity for R&D investment in the context of the financial crisis in both regions by using Bayesian MCMC analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.171-171
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• 2020

Decision making strategies should consider both adaptiveness and robustness in order to deal with two main characteristics of climate change: non-stationarity and deep uncertainty. Especially, robust strategies are different from traditional optimal strategies in the sense that they are satisfactory over a wider range of uncertainty and may act as a key when confronting climate change. In this study, a new framework named Robust Stochastic Dynamic Programming (R-SDP) is proposed, which couples previously developed robust optimization (RO) into the objective function and constraint of SDP. Two main approaches of RO, feasibility robustness and solution robustness, are considered in the optimization algorithm and consequently, three models to be tested are developed: conventional-SDP (CSDP), R-SDP-Feasibility (RSDP-F), and R-SDP-Solution (RSDP-S). The developed models were used to derive optimal monthly release rules in a single reservoir, and multiple simulations of the derived monthly policy under inflow scenarios with varying mean and standard deviations are undergone. Simulation results were then evaluated with a wide range of evaluation metrics from reliability, resiliency, vulnerability to additional robustness measures. Evaluation results were finally visualized with advanced visualization tools that are used in multi-objective robust decision making (MORDM) framework. As a result, RSDP-F and RSDP-S models yielded more risk averse, or conservative, results than the CSDP model, and a trade-off relationship between traditional and robustness metrics was discovered.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.83-110
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• 2023

This study deals with the process by which 'Social problem-solving R&D model' is established in Korean society through the evolution of the government's R&D program. We will examine the process by which a 'Social problem-solving R&D model', which was not present in companies, science and technology communities, and civil society, is formed through government R&D programs. To this end, we present a conceptual framework to analyze the process of co-evolution of 'Social problem solving R&D model', the organizational community that supports and implements it, and the institutions that supports the new model. In the synthesis, policy measures to enhance 'Social problem-solving R&D model' are dealt with.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.345-359
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• 2014

Technological, policy and economic factors are both important variables in maximizing the results of a national R&D program and key indicators in evaluating an R&D program's eligibility for financial support. Economic analysis, in particular, is used when selecting R&D programs, setting priorities, and estimating economic effects. This paper examines a series of methodological issues related to the economic analysis of national R&D programs within the framework of the current preliminary feasibility evaluation system, and proposes alternative approaches to each of the issues discussed. The issues include the definition of R&D valuation and establishment of valuation factors; estimation of sales attributable to R&D investment; assessment of the total economic value of R&D as intellectual assets; estimation of R&D benefits and assumption of related to sales; and the application of discount rates based on the weighted average cost of capital. Finally, this study presents directions for future research on analytical procedures and methods of improving the reliability of the results of economic analysis within the national technology planning system.

• Journal of Science and Technology Studies
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• v.2 no.1 s.3
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• pp.63-83
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• 2002

This article examines the historical and general characteristics of science and technology policy in Korea. Historical characteristics are analyzed through formation period, growth period, and transition period. Korea institutional sis for the promotion of science and technology was made from the initial stage of industrialization. As national R&D programs were launched, technological activities in the private sector were rapidly increased from the 1980s. Korea pursued new directions of science and technology policy with the formation of related laws and Plans from the late 1990s. General characteristics are analyzed by the concept of 'policy regime'. The prime policy goal of science and technology policy in Korea has been related to industrial development so far. In the policy means, input element has been increased focusing on the external aspects. Bureaucratic policy culture has dominated other cultures including economic culture, academic culture, and civic culture.

• Information Systems Review
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• v.23 no.3
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• pp.1-23
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• 2021

The national economic policy paradigm is constantly changing according to the global business environment. Among them, fostering SMEs is a core policy of many developed countries. The growth of SMEs contributes to the creation of jobs and the development of local communities in the era of employment-free growth. In particular, the growth of SMEs is the foundation for growth into mid-sized and large enterprises. Therefore, the growth of SMEs plays an important role in the national economy. Information and communication technology (ICT) became important much more with the emergence of the 4th industrial revolution. Among them, the growth of ICT SMEs is the nation's future asset. Therefore, this study examines and verifies the main factors affecting the performance of ICT SMEs from the view of their R&D resources. On the basis of 1,999 SMEs dataset, empirical analysis was performed to investigate the influence of R&D resources on their corporate performance. Its results are as follows. First, based on theresource-based theory, ICT SMEs' R&D investment, R&D manpower, and government support policies were found to have a positive effect on securing a company's competitive advantage. Second, it was found that the level of product has a positive effect on the company's performance. Finally, it was found that M&A and technology acquisition method strategies differ according to the growth stage of the company. Therefore, in order to achieve technological innovation and corporate performance of ICT SMEs, the government support policy and investment into internal R&D personnel play as main factors. In addition, it was found that technology acquisition strategies differ depending on the growth stage of the company.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.165-198
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• 2014

The national R&D performance evaluation system in Korea has been influenced by 'New Public Management' since the 1980s. The 1997 IMF crisis in Korea has necessitated the overhaul of S&T policy strategies in Korea. Reflecting this, effective distribution and utilization of S&T investment and resources has emerged as a crucial policy agenda, while expansionary investment in S&T maintained. During the period of 1999-2005, the R&D evaluation has been more focused on the input side and execution processes than on the results of R&D. Evaluation results were to be reflected in the budgeting of national R&D, but there were some disputes over how to make use of evaluation results between the budgeting ministry and the evaluation agency partly because they were two separate entities. After the advent of the new government(1998-2003) which advocated 'science and technology-oriented society', the national R&D evaluation system has evolved through a new legislation, the Performance Assessment Act, and the establishment of Science & Technology Innovation Agency to build up the unique framework for national R&D evaluation differentiated from the assessment system for general government investment programs. Most recently, due to 'Comprehensive Improvement Plan' in 2013, various components of national R&D evaluation seem to move on a new evolutionary track. For example, different types of evaluation are being developed and tried in accordance with differing evaluation goals, and the individual ministries and the research councils has got more enhanced autonomy and responsibility regarding R&D evaluation. So-called 'tailored' evaluation methods, taking into consideration the characteristics of programs and institutes / organizations to be evaluated, are now being tried. Competences of evaluation experts and agencies has also to be improved and strengthened.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.120-129
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• 2020

This paper aims to benchmark the United States' LRIP, the country's initial production policy, and provide a Korean version of such policy which reflects the circumstances of the country's weapon system research & development(R&D) and acquisition procedures. The research suggests measures to improve the country's initial production policy in a direction that the policy could execute two stage continuously: (1) employment test & evaluation(OT&E), conducted on prototypes during the development stage, and (2) field employment tests(FT), conducted on initial products during the production stage. In addition, the research provides an equation calculating the optimal number of initial test products to be produced, applying statistical theories of t-distribution. The research aims to be used a reference to calculate the optimal number of initial products to be produced for testing in order to improve future national defense acquisition systems and the stable R&D of weapons systems.

• Health Policy and Management
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• v.8 no.2
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• pp.191-215
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• 1998

This descriptive correlational study was done to identify ICU nurses' intention to use restraints and related factors using Ajzen and Madden(1986)'s Theory of Planned Behavior. Self-reported questionnaires were used to measure intention and related factors. The subjects of this study were 287 ICU nurses in 21 general hospitals with at least 200 beds at Taegu, Pusan and Kyungbuk area in Korea. The results of this study were : 1. There were significant differences in intention according to age and marnital status, attitude according to educastion(with indirect measure), subjective norm according to career in ICU(with both measures), perceived behavioral control according to age and career in ICU(with direct measure), and knowledge according to education and position. 2. There were significant correlations among intention and all factors. Intention was correlated with attitude(r=.2119), subjective norm(r=.1112), and perceived behavioral control(r=.3448) with direct measure. Attitude was correlated with subjective norm(r=.2530), perceived behavioral control(r=.3005), and knowledge(r=.1388) with direct measure. Subjective norm was correlated with perceived behavioral control(r=.1321) with direct measure. Intention was correlated with attitude(r=.1496) and perceived behavioral control(r=.2922) with indirect measure. Attitude was correlated with subjectivenorm(r=.2829) and knowledge(r=-.1390) with indirect measure. Also, subjective norm was correlated with perceived behavioral control(r=.2363) with indirect measure. 3. ICU nurses' intention to use restraints was explained 16.7% by perceived behavioral control, attitude with direct measure, control belief, and age. By this study, it was foundr that ICU nurses reported high level of intention to use restraints. The most important predictor of intention to use restraints was perceived behavioral control toward using restrains, which reflected the easiness and difficulty in the use of restraints.

• KDI Journal of Economic Policy
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• v.37 no.2
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• pp.1-21
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• 2015

The creation of S&T knowledge and development of S&T- based innovation has spread worldwide from traditionally advanced countries to traditionally developing countries, often under the direction of governments. Korea is an exemplar in this new locus. Korea's burst in Science and Technology during the last three decades has made Korea a substantive player in the global production of S&T knowledge and its application to business. Although Korea still trails the US and other top countries in the quality of research, it has leaped from its 1980s standing as bit player in the knowledge economy to being among the leaders in the early 21st Century. This paper shows that Korea's advance benefited from its active participation in the global market in higher education, in international research collaborations, and its close ties to the U.S. Korea's experience offers lessons for other countries who seek to advance by becoming knowledge economies. Korea proves that a developing country can gain comparative advantage in knowledge production and use; that government policy can stimulate such a development; and that openness to the world of higher education and research is the best way to move forward and overcome the middle income trap.