• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.45-60
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• 2020

Purpose - This study examines the impact of company ownership nature and of the dual role of CEO and board chair on R & D investment intensity, as well as the moderating effect of this dual role. Most previous research focused on the impact of the dual role of CEO and board chair on firm performance. Design/methodology/approach - This study uses A-share companies listed on the Shenzhen and Shanghai stock exchanges in China from 2008 to 2017. The univariate and the multivariate regression analysis were hired In order to analyze the data. Findings - The results show that there is a significant negative relationship between state-owned companies and R & D investment intensity. In addition, there is a significant positive relationship between the dual role and R & D investment intensity. The effect of state ownership on R & D investment intensity is more negative when CEO-board chair duality exists. This means that in case of state-owned companies, if CEO serves as the board chair, the propensity to invest in R&D is further reduced. Research implications or Originality - This is a pioneering study that considers the joint effect of state-owned companies and dual role on R & D investment intensity in the Chinese economy.

• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.131-140
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• 2013

Econometric forecast models based on past time-series data have been applied to a wide variety of applications due to their advantages in short-term point estimating. These models are particularly used in predicting the impact of governmental research and development (R&D) programs because program managers should assert their feasibility due to R&D program's huge amount of budget. The construction governmental R&D programs, however, separately make an investment by dividing total budget into five sub-business area. It make R&D program managers difficult to understand how R&D programs affect the whole system including economy because they are restricted with regard to many dependent and dynamic variables. In this regard, system dynamics (SD) model provides an analytic solution for complex, nonlinear, and dynamic systems such as the impacts of R&D programs by focusing on interactions among variables and understanding their structures. This research, therefore, developed SD model to capture the different impacts of five construction R&D sub-business by considering different characteristics of sub-business area. To overcome the SD's disadvantages in point estimating, this research also proposed the method for constructing quantitative forecasting model using qualitative data. Understanding the different characteristics of each construction R&D sub-business can support R&D program managers to demonstrate their feasibility of capital investment.

• Journal of the Korea Safety Management & Science
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• v.17 no.4
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• pp.343-352
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• 2015

This study analyzes the business performance of research and development(R&D) and especially studies the effect of technology management activity and technology innovation competency on commercialization performance. According to previous studies, the technology management activity can be composed of technological innovativeness, analysis of market, R&D method, and appropriateness for commercialization plan. Also, the technology innovation can be divided into patent, R&D manpower, R&D investment ratio, production capability, and marketing capability. On the result of the analysis, all the components of technology management activity are positively related with commercialization performance. In case of technology innovation competency, however, only production and marketing capabilities have influence on the business performance. Especially, marketing capability controls the effect of technology management activities on the commercialization performance. Consequently, technology management is very important activity for SMEs to succeed commercialization and SMEs should collaborate with production and marketing departments from the early stage of R&D.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.19-33
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• 2015

Recently, interest in research and development (R&D) investment decisions have increased among Korean domestic enterprises. However, existing R&D investment studies only focused on government R&D investment policies while only a few studies investigated firm level R&D investment. Prior literatures also overlooked the feedback loop between R&D investment and firm performance. Therefore, this paper identifies a system dynamics model for R&D investment decision making in domestic electronics firms. The conceptual model is derived from R&D investment-related theories found in bodies of literature on company performance, enterprise activity, and market maturity. This study investigates the dynamic feedback between R&D activities and sales using the system dynamics model. In other words, the system dynamics model is used to explain the change in the closed feedback circulation structure in R&D investment activities including technology development, production process, and marketing that subsequently result in sales increase and re-investment into R&D from the generated revenues. There are two major results. First, a similar ratio of investment on technology development and production process derives the higher company sales. Second, regardless of market maturity, marketing investment ratio positively affects sales and R&D budget growth. This study provides a system dynamics model to find the optimal ratio for R&D investment and suggests managerial strategic implications on electronic firm R&D investment decision making under market maturity condition.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.2
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• pp.201-215
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• 2002

In this paper, we use a structural equation model to diagnose success factors on commercialization of information and communication technology considering the characteristics of commercialization process in terms of the type of technology, technology provider and technology receiver. The results of our study indicated the following. The transferor's research ability has significant effects on the commercialization by small businesses with low R&D expenditure to sales ratio, and the business management ability plays an important role in the commercialization by the relatively large (over 100 employees) companies with low R&D expenditure ratio. During the commercialization of the technology independently researched by government run institute or university, the transferee's business management ability is crucial to success. To those companies which run the existing business with high R&D expenditure ratio, their ability to utilize technology is essential. When the independently researched technology is used in the new business, the companies' business management ability and the role of technology transfer center are the important factors on the commercialization. Based on these findings, we suggest some strategies to effectively promote R&D efforts for successful commercialization.

• The Journal of Society for e-Business Studies
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• v.4 no.2
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• pp.177-196
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• 1999

The current process of weapon system R&D has lots of problems that the phase is complex, the concept of integration and/or connection of related data is laked and don't be digitalized. To solve these problems we should establish the R&D CALS system and to do this, analysis the R&D process is necessary. In this paper, We suggested weapon system R&D CALS concept and model, and analysed R&D process with ARIS Toolset and proposed the new R＆D process and operation scenarios with CALS concept.

• Knowledge Management Research
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• v.22 no.3
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• pp.91-106
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• 2021

With the recent rapid development of deep learning technology, the demand for analyzing huge text documents in the national R&D field from various perspectives is rapidly increasing. In particular, interest in the application of a BERT(Bidirectional Encoder Representations from Transformers) language model that has pre-trained a large corpus is growing. However, the terminology used frequently in highly specialized fields such as national R&D are often not sufficiently learned in basic BERT. This is pointed out as a limitation of understanding documents in specialized fields through BERT. Therefore, this study proposes a method to build an R&D KoBERT language model that transfers national R&D field knowledge to basic BERT using further pre-training. In addition, in order to evaluate the performance of the proposed model, we performed classification analysis on about 116,000 R&D reports in the health care and information and communication fields. Experimental results showed that our proposed model showed higher performance in terms of accuracy compared to the pure KoBERT model.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.209-212
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• 2011

국가의 미래지향적 정책을 위해서는 무엇보다도 이를 선도해나아갈 핵심인재의 확보가 매우 중요하다. 이러한 핵심인재 확보를 위해 각 부처에서는 지역 R&D 인력양성과 관련된 사업이 진행 중에 있다. 지역 R&D 인력양성사업의 전담기관은 시기와 목적에 따라 변경될 수 있으며, 변경될 때마다 사업목적과 수단이 부합하는지를 점검하기 위하여 사업성과를 객관적으로 분석 및 평가하고 그 결과를 새로운 사업계획 설계에 반영할 필요성이 제기되어 왔다. 그러나, 지역 R&D 인력양성사업은 전담기관 및 사업의 성격에 따라 성과분석 모형을 다르게 적용해 왔으며, 객관적 성과 분석 프레임워크가 부재하다. 따라서, 본 논문에서는 인력양성사업의 특성을 파악하여 객관적으로 분석 및 평가에 활용할 수 있는 성과 분석 모형을 설계하고자 한다.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.1114-1117
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• 2004

We investigated the liquid crystal (LC) alignment phenomena using hydrogenated amorphous carbon (a-C:H) thin films. For LC alignment, the surface of a-C:H thin films is treated with low energy ion beam. We investigated the relationship between the properties of a-C:H thin films and LC alignment phenomena.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.26-29
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• 2004

S-PVA is a new technology which enables screen quality advantages over S-IPS and MVA, including high transmittance, >1000:1 contrast ratio, sub-10ms response time, and wide angle of view with no off-axis image inversion and undetectable gamma distortion. This new technology will be described in detail. This paper also addresses the other remaining performance issues facing LCD-TV, including Samsung's plans for addressing these challenges. For example, until recently, inter-gray response time and associated motion blur were significant issues for achieving LCD-TV images quality. Samsung has invented DCC-II technology to achieve sub-10ms response time, and this achievement is described herein. Other technology advancements, including next-generation color performance and ultra-low black performance and improvement of off axis image quality are also discussed in this paper.