• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.1244-1247
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• 2004

For obtaining the best panel quality of color filter on array(COA) architecture in TFF LCD, we investigated the influence of deposition temperature, $O_2$ flow, thickness on the optical transmittance, wet etching and adhesion properties of IZO deposited onto each color photo resist(red, green, blue). Average transmittance of the pixel single layer in the visible range(between 380 and 780nm) was mainly affected by thickness and showed maximum at 1250 ${\AA}$ while the thickness showing peak transparency in each R, G, B wavelength was different. The relation was calculated by using bi-layer transmission and reflectance model, which corresponded to experimental data very well. The adhesion of IZO deposited on each color PR was found to have enhanced value except red PR case, compared to that of IZO which was deposited on $SiN_x$. Wet etching pattern linearity was decreased as the thickness increased. The thickness of IZO was one of vital factors in order to optimize overall pixel process for fabricating COA structure.

• ETRI Journal
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• v.39 no.4
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• pp.467-479
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• 2017

This study examines how the characteristics of cooperative research and development (R&D) projects in the public domain impact information and communication technology (ICT) convergence. Based on the analysis of 416 cooperative R&D projects under the ICT-based industry convergence R&D program in Korea, the study finds that the characteristics of cooperative R&D projects significantly impact ICT convergence. Moreover, the participation of public research institutes and universities is critical for ICT convergence compared with that of firms. However, in firm-to-firm cooperation, the participation of small and medium enterprises contributes to cross-sectional convergence, while the participation of large firms leads to overall and longitudinal convergence. R&D inputs such as the number of partners and government subsidies exhibit an inverted U-shaped relationship (negative quadratic effect) with technology convergence. Project duration and homogeneous partners are also critical factors for ICT convergence. The results indicate several implications and guidelines on how to effectively organize cooperative R&D projects to facilitate technology convergence.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.323-329
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• 2020

There is a system of mandating the allocation of support to small business in certain percentage or more to facilitate technological innovation at small business. Trying to assess small business R&D projects, which receive a budget of three trillion won or more from the government every year, for their possibilities of success, a group of experts perform a technological evaluation with their technologies and their difficulty levels and review closely the possibilities of their commercialization and success. Used in such a review, the Analytic Hierarchy Process technique cannot make an objective judgment of evaluation criteria for evaluation items and guarantee the professionalism and fairness of small business R&D projects due to the inherent ambiguity and uncertainty of the evaluation criteria. This study proposed an R&D evaluation system based on Fuzzy-AHP for small business to provide objective weight for the evaluation items and assess the possibilities of such projects' success. The evaluation criteria were make objective as they were applied as section values based on triangular fuzzy numbers. Weight was assigned and applied according to the management guidelines of supportive projects for small business' technological development so that it could be reflected on actual assessment. The findings of the study will be helpful for reflecting the scoring weight of these evaluation items again when an expert is appointed for a new project and guaranteeing the professionalism and fairness of small business R&D project based on them.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.5764-5769
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• 2012

Business relationships can be divided in vertical and horizontal relationships. Vertical relations, such as the relation to suppliers and contractors, are of great importance and often determine a firms success. In general, many scholars produced numerous models of business relationships covering with a wide array of variables. However, models with a focus on vertical relationship did not receive much attention. This paper deals with problems related to vertical relationships and a the business model paying special attention to vertical relationships is developed. Vertical relationships span over a wide range of industries, including industrial electronics and automotive firms. In Chapter 2, the theoretical approach needed to develop a process model to examine the vertical relationships is developed. Chapter 3 features core findings about business relationships. Chapter 4 deals with vertical relationships as developed between the core business process model. Finally, Chapter 5 of the study covers limitations and future research directions.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.181-188
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• 2009

This paper presents the economic validity with the cost/benefit analysis on establishing R&D Supreme Academy. To evaluate the profitability of R&D Supreme Academy, willingness to pay (WTP) is measured by contingent valuation method (CVM) and then the net present value (NPV), internal rate of return (IRR) and benefit/cost ratio(BCR) are calculated. The results of economic evaluation verified that the establishment of R&D Supreme Academy is timely and effective in an economic perspective.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.39-50
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• 2022

Based on the signaling theory, this study examined whether startups are more likely to attract venture investment when receiving government R&D subsidies. First, we reviewed previous studies of the investment decision-making process of venture capitalists and understood the conditions that influence investment decisions. Based on previous studies on the signal effect of government subsidies, particularly government R&D grants, on inducing private fund investment, this study revealed a mechanism to induce venture investment by startups. In addition, in order to verify whether government R&D subsidies have the effect of inducing venture investment, an empirical analysis was conducted based on data from startups under seven years and certified as a venture companies in 2021. This paper used PSM(Propensity Score Matching) method and DID(Difference In Difference) analysis for an empirical study to analyze the average treatment effect on the treated group(beneficiary startups of government R&D grants). As a result of empirical analysis, companies that receive more government R&D subsidies after starting a business are more likely to attract venture investment. From two to three years after conducting the first government R&D project, startups that received government R&D grants attracted more venture investment than those that did not. The results of this paper demonstrate that government R&D projects can also affect the venture investment ecosystem, giving policy implications to government R&D projects targeting startups. It is also expected to suggest strategic implications to startups that need new funding.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.11-19
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• 2021

The purpose of this study is to check whether the satisfaction of the R&D (Research & Development) project directly affects the R&D performance, and to find out whether the satisfaction with regional connectivity and the satisfaction with the R&D operation management significantly mediate the relationship that the satisfaction with the R&D project has on the R&D performance. In order to verify the research hypothesis on this, a total of 51 companies located in Jeollanam-do that actually conducted R&D research projects were surveyed and analyzed. In order to conduct an empirical study based on the collected questionnaire, a survey questionnaire related to the variables of the study model was composed based on a sample of 51 questionnaires. We used the SPSS program to verify the hypotheses in this study, and the hypotheses were verified by analyzing the validity, reliability, correlation, and deflection. As a result, there was a positive (+) significant relationship between R&D project satisfaction and R&D performance. In addition, it was found that the relationship between R&D project satisfaction and R&D performance was significantly mediated by the satisfaction with R&D regional connectivity and satisfaction with R&D project operation management.

• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.304-310
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• 2002

인터넷 기반의 B2B(Business to Business) 모델은 e비즈니스의 실현을 위한 기업의 정보시스템의 인프라와 같은 기반구조를 만들어가기 위한 기본 모델 역할을 하고 있다. 인터넷이 제공하는 표준 프로토콜을 기반으로 다양한 방식의 B2B 지원제품이 출시되고 있지만 그 어떤 제품도 기본적인 인터넷 프로토콜이 아닌 상위의 e비즈니스, 즉 다른 기업과의 협업이라는 관점에서 상호운용성을 보장하지 못하고 있으며 이 부분은 여전히 제품과 산업군에 매우 종속적이다. 이러한 단점을 해결하기 위하여 국제표준을 준수하며 BRB(Business- Registry- Business) 모델을 기반으로 한 글로벌 e비즈니스 솔루션인 XENI의 메세징 관련 제품과 레지스트리 관련 제품의 구현사례와 활용사례를 소개하고자 한다. 또한 국내의 취약한 SI 산업의 해결점이 될 수 있는 글로벌 솔루션 개발이라는 측면에서 향후 보완되어야 할 부분들을 제안한다.

• International Commerce and Information Review
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• v.16 no.5
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• pp.51-66
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• 2014

The relationship study between SMEs' R&D and business performance is important research subject. The objective of this paper is to evaluate whether the effectiveness of government's R&D subsidy for SMEs is supported. The positive perspective is that the support policy stimulates the SMEs innovation activities including R&D and thus contributes to the performance, but the negative view is that the support policy rather decreases the firm's own R&D investment and thus the result is not necessarily promising. This paper is to evaluate the effectiveness of government subsidy on SMEs' R&D. This study suggested DID and Random Effect Models for analysis using the panel data of 2,807 SMEs in manufacturing sector. The data was collected from the 'Survey on SMEs Technology & R&D 2011' conducted by Korea Federation of Small and Medium Business. The results are as follows. First, government's subsidy has crowded out 4.7% of beneficiary's internal R&D investment. Second, government's subsidy has increased 27.3% of beneficiary's R&D intensity in spite of 4.7% internal R&D investment reduction. Third, government's subsidy didn't have a relationship with firm performance but the R&D intensity made positive influence on the firm performance. Finally, R&D intensity has increased the 6.7% of firm performance. These results mean that government's subsidy give a positive impact on SMEs' performance through R&D intensity with relatively small crowding-out effect.