• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.5 no.2
• /
• pp.59-88
• /
• 2010

The National Research and Development(R&D) has put a greater emphasis on development of a market- and customer-oriented technology and its commercialization in the market. To promote commercialization of technologies invented through the national R&D, many governmental and public organizations have been offering various assistance programs. In spite of these assistance programs, the commercialization rate of the Korean national R&D outcomes is relatively lower than other advanced countries including the United States and European countries. Thus, this paper analyzed 24 R&D commercialization assistance programs which are provided by several institutions in the four different nations. As a result of analysis, we recommended the areas for improvement in the Korean R&D commercialization assistance programs. Also we suggested a framework driving an effective collaboration among the institutions assisting commercialization, the institutions funding and managing R&D, and the people performing R&D.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.37 no.3
• /
• pp.82-88
• /
• 2014

The government expands its investment on R&D programs for economic growth, thus there is growing attention on the result of R&D Programs. This study proposes more improved measuring method for efficiency when the number of R&D programs is not enough to be for measuring efficiency analysis. It provides more various application method of factors on efficiency analysis. This study analyzes the influence of each input factor on efficiency by using partial efficiency concept. And it also determines input factors in similar influence throughout Spearman correlation coefficient. Finally, it suggests new method to improve discriminatory power of efficiency analysis by determining representative factors. Also, the proposed method can be practiced not only for national R&D programs, but also for other fields of research.

• Asia-Pacific Journal of Business
• /
• v.11 no.4
• /
• pp.177-188
• /
• 2020

Purpose - The purpose of this study was to examine the effect of government R&D programs on firm innovation activities. Design/methodology/approach - This study analyzed survey data on innovation survey in Korea. To investigate our research hypothesis we used ordered logit regression analysis. Findings - This study unveils different effects of diverse government R&D programs on firm innovation activities. Most of government programs-R&D tax incentives, information/training, and marketing supports-have positive effects on management innovation activities and negative effects of the usage of procurement programs on management innovation efforts. Some government programs-R&D tax incentives, R&D grants, information/training-have positive effects on technological innovation activities. Research implications or Originality - This paper investigates the effects of diverse government R&D programs on technological and management innovation activities. We examine simultaneous effects of multiple government R&D programs rather than effects of independent R&D programs. This result can contribute to develop more effective government R&D programs to support firm innovation activities.

• Journal of Korea Technology Innovation Society
• /
• v.4 no.3
• /
• pp.275-290
• /
• 2001

The frameworks for evaluation of national R&D programs reflect their various political and administrative cultures(Gibbons & Georghiou, 1987), and the structure of national R&D system. In this research the core research questions are : what is god evaluation\ulcorner What is being evaluated, by whom, by which criteria, for whom and what purpose\ulcorner In order to examine these general aims and answer these questions, in detail several objectives can be proposed on the process of this research. In this research, the national R&D programs will be considered in terms of the interface between evaluation and the wider policy-making process. The programs for case study are the Alvey program(UK), the Advanced Technology Program (US) and the Framework program(EU) . One of the characteristics of these programs is the well established evaluation systems they have. From the comparative analysis, we can withdraw some useful implication for Korean evaluation practice for national R&D programs. Evaluation system is social process and the way in which it is organized is critical to its outcome.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.32 no.2
• /
• pp.29-37
• /
• 2009

National R&D programs play an important role in the development of a country in this age of the knowledge economy. Since many numbers of R&D programs compete for limited resources such as national R&D budget, the R&D program evaluation problem is a challenging decision-making problem faced by decision makers that deal with R&D management. In this sense, DEA(Data Envelopment Analysis) has been regarded as one of the most widely accepted methods to measure the relative efficiency of productivity of R&D programs. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units(DMUs) in a process which uses multiple inputs to produce multiple outputs. However, the sample of the R&D programs could consist of two or more naturally occurring subsets, thus exhibiting clear signs of heterogeneity such as different objectives. In such situations, the fairness of DEA is limited, for the nature of the relative efficiency of a DMU is likely to be influenced by its membership in a particular subset of the sample. In this study, we propose a methodology AI-DEA(attainment index DEA) allowing for reflecting decision maker's subjective judgement on difference among different subsets of R&D programs which have heterogeneous objectives. This methodology combines AHP and Delphi in order to decide the attainmnet index of each DMU for each outputs, and apply them to DEA model. We illustrate the proposed approach with a pilot evaluation of 13 programs involving 6 different subsets of Korean National R&D programs and compares the results of the original DEA model and AI-DEA model.

• Korea Trade Review
• /
• v.45 no.1
• /
• pp.47-64
• /
• 2020

For the past few years, the Korean government has been consistently expanding its national research & development budget to accelerate economic growth through technology innovation and the enhancement of international competitiveness in global markets. The objective of this paper is to define the concept and analyze the current status of national R&D programs by measuring R&D efficiencies. We determine R&D efficiency by reflecting inputs and outcomes of the five main agricultural R&D programs between 2010 to 2015, and by categorizing and regrouping figures that may affect R&D performance. Among 1,128 targeted projects, 832 projects with patents and thesis were selected for analysis in terms of measuring technology efficiency, pure technology efficiency, and efficiency of scale. Also, the Kruskal-Wallis test was also utilized as well. As a result of empirical analysis, figures that affected the efficiency level of national R&D programs included differences in research resources, research management levels and skills, and research field. This study can be utilized as a reference for re-establishing national agricultural R&D policies, such as enhancement of national technology competitiveness in the global market environment, improving and adapting to new agricultural conditions, market expansion, national agricultural R&D efficiency, aging rural population, agricultural management cost increase, and climate change mitigation.

• Proceedings of the Technology Innovation Conference
• /
• 2006.02a
• /
• pp.187-204
• /
• 2006

According to increasing dependancy of national competitiveness on her level of science and technology, the Korean Government devote herself to expansion of technological capability in nation-wide. As a result, the numbers and sizes of national R&D programs, one of public technology policies, are abruptly increased. Recently, the government closely examines the introduction of performance-based budgeting regime as well as the accountability issue in public sector. In the fulfillment of accountability, it has considerable importance that the government executes measurement and strategic management of their performances of all the national R&D programs, how they are properly executed in conformity with respective missions and characteristics. It needs a tool for clearly measuring the programs' performances. In this study, the Balanced Scorecard (BSC) is suggested as an alternative. However, the logics of ordinary BSC cannot be directly applied to the program unit. This study reviews the basic concept and principles of BSC and discusses the necessary conditions for proper application of BSC into national R&D programs.

• Journal of Digital Contents Society
• /
• v.13 no.3
• /
• pp.317-324
• /
• 2012

Recently, coordination task of similarity between national R&D programs is emphasized on view from the R&D investment efficiency. But the previous similarity search method like text-based similarity search which using keyword of R&D projects has reached the limit due to deviation of document's quality. For the solve the limitations of text-based similarity search using the keyword extraction, in this study, utilization of R&D project's technical classification will be discussed as a new similarity search method when analyzed of similarity between national R&D programs. To this end, extracts the Science and Technology Standard Classification of R & D projects which are collected when national R&D Survey & analysis, and creates peculiar vector model of each R&D programs. Verify a reliability of this study by calculate the cosine-based and Euclidean distance-based similarity and compare with calculated the text-based similarity.

• Journal of Information Technology Applications and Management
• /
• v.21 no.4_spc
• /
• pp.345-359
• /
• 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 Korea Technology Innovation Society
• /
• v.14 no.2
• /
• pp.279-300
• /
• 2011

Given the huge increase in interest in biotechnology, whose applications are being expanded as a new growth engine, investment and agency participation are also increasing. In 2008, the level of investment by the national R&D programs in future emerging technologies (6T) in the field of biotechnology was as great as that in IT, and six agencies and many relevant research institutes are now carrying out various related projects. This paper intends to review the status of investment in biotechnology by analyzing the portfolio and positioning of the national R&D biotechnology programs, which address global issues such as the quality of life, the aging society, and environment and energy, and to propose a new investment strategy and direction for the efficient implementation of the national R&D programs.