• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.1
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• pp.17-23
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• 2010

The corporate R&D(Research and Development) has a primary role of new product development and its potential is the most crucial factor to estimate corporate future value. However, its systemic inadequacies and inefficiencies, the shorten product life-cycle to satisfy customer needs, the global operations by outsourcing strategy, and the reduction of product cost, are starting to expose to R&D business processes. The three-phased execution strategy for R&D innovation is introduced to establish master plan for new R&D model. From information technology point of view, PLM(Product Life-cycle Management) is one of the business total solutions in product development area. It is not a system, but the strategic business approach that collaboratively manage the product from beginning stage to end of life in all business areas PLM functions and capabilities are usually used as references to re-design new R&D process. BPA(Business Process Assessment) and 5DP(Design Parameters) in PI6sigma developed by Samsung SDS Consulting division are introduced to establish R&D master plan and re-design process respectively. This research provides a case study for R&D process innovation. How process assessment and PMM(Process Maturity Model) can be applied in business processes, and also it explains process re-design by 5DP method.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.62-68
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• 2019

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.

• STI Policy Review
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• v.9 no.1
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• pp.1-29
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• 2018

With the constant growth of R&D investment, it has been increasingly necessary to evaluate the effectiveness of R&D performance and there is a high emphasis on ensuring the accountability and effectiveness of R&D programs. The evaluation of performance of a firm is especially necessary in times of economic downturn to justify R&D investment. However, there is a marked shortage of clear guidelines as to where and how particular metrics are used to measure the output and outcome of R&D activity in firms. Many firms have difficulties in selecting appropriate indicators for their R&D and financial performances. To fill this gap, this article discusses and presents the findings from the literature in such a way that they become useful for researchers or managers who are in charge of measuring the R&D and business performances arising from innovation activities. Finally, based on the findings about metrics of R&D performance, this article proposes the hypothetical framework to investigate the relationship between technology forecasting, strategic technology planning, and business performance. The framework of this article will assist policy makers, universities, research institutes/national laboratories, and companies to enhance their decision making process in technology development.

• Korean small business review
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• v.41 no.1
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• pp.75-96
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• 2019

This study used age, education, major, working period as CEO's characteristics and examine relationship between these characteristics and R&D Investment. Furthermore this study examined how CEO should react in terms of R&D investment, which is effected by CEO's characteristic in the market. The empirical results are following. (1) When CEO's age are young, they spend much money for R&D investment. And R&D investment which is determined by young CEO has a positive effect on relation of firm value. (2) A higher educational background has a positive effect on R&D investment and will create higher firm value. (3) When CEO's major is competitive in the same industry, it has a positive relationship with R&D investment and its firm value is bigger than though. (4) When CEO working period is long, they showed active to R&D investment. On the other hand, the firm value decreased. This study focused on analyzing the relationship between characteristics of CEO and R&D Investment, furthermore, how R&D investment which effected by CEO's characteristic is contributing in creating the firm value. This results indicate that CEO's characteristics reflect R&D investment and value of venture business. Therefore, CEO's characteristics should be considered financial information and firm value in the market.

• International Journal of Quality Innovation
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• v.10 no.2
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• pp.43-56
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• 2009

Many companies are trying to acquire innovative technologies and relevant knowledge by sending R&D work overseas. Although recent research has been focusing on the aspects that motivate MNCs to establish offshore R&D facilities, such as cost reduction and market expansion, little is known about external or circumstantial factors influencing the performance of global R&D activities. Searching for enhancers of offshore R&D facilities, we investigated the relationships between the performance of offshore R&D and the technological capabilities of a parent company, its home country, and its R&D hosting country. Both patent data of ED and the ED R&D scoreboard of 134 overseas R&D labs from 46 MNCs, dating from the period of 2003 to 2005, are used in the analysis. The same time period is applied in calculating the RTA of each country. Regression analysis results support our main hypothesis that the technological capabilities of the parent company and the hosting country positively affect the performance of overseas R&D.

• IE interfaces
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• v.22 no.3
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• pp.192-204
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• 2009

Based on the characteristics of 'Korean electric power industry R&D programs', this study proposes a new performance evaluation framework where electric power industry related R&D projects are scrutinized. The abovementioned R&D programs have their own goals and especially they emphasize the effectiveness as well as the efficiency of each subordinate R&D project. Hence, in this framework, a performance evaluation procedure is established and then a mathematical model is developed according to the procedure. The model calculates performance evaluation indices for a set of R&D projects integrating the effectiveness with the efficiency of each R&D project. In a case study with an empirical dataset, statistical significance is tested on the integrated performance evaluation indices of R&D projects regarding organizational types and program categories considered.

• Korean small business review
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• v.43 no.1
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• pp.1-33
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• 2021

This study explores differential value implications of R&D expenditure across firms, especially in terms of growth potential of small businesses. Analyzing Korean listed firms for the period from 1982 to 2014, we document the followings. First, large firms, defined as the top quintile group based on market capitalization, have spent higher R&D expenditure compared to small (bottom quintile group) and medium (middle quintile groups) firms and the difference between groups has enlarged over time. Relatedly, the persistence of R&D spending, measured by the association between current R&D expenditure and cumulative future R&D expenditure over the next five years, is lowest in small firms. Second, R&D of large (small) firms are more (less) likely to generate operating profits over the next five years. Additional analyses suggest that the relation between R&D and gross margin is strongest in large firms, suggesting that R&D underlies their competitiveness in the product market. Third, small firms have borne the highest uncertainty related to R&D investment proxied by the association between current R&D and volatility of future earnings. As a result, the likelihood of R&D leading to future patents is also lowest in small firms. Fourth, the probability of moving up to the next size group within the next five years is significantly lower in small firms than others. Finally, we find that the divergence in R&D expenditure between large and small firms is positively associated with product market concentration. Overall, our findings confirm the small business growth trap in relation to R&D investment.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.29-37
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• 2002

This paper presents a framework for processing a structured approach of R&D investment. It presents nine steps to operate R&D investment from analysis of environment situation to review and feedback its activity. Also fundamental questions fur effective R&D management in business are discussed and after that critical eight success factors for R&D investment are discussed.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.786-819
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• 2014

Emphasizing the importance of R&D as a source of open innovation, Korean government is developing various programs focused on technology commercialization and is expanding investment on it. In spite of those efforts, technology commercialization is not vitalized yet due to the lack of demand for technology transfer, R&D planning scheme without considering market, immaturity of technology market, and so on. This study aims to suggest the business ecosystem model so that technology commercialization could be facilitated based on business ecosystem perspective. We set the framework for modeling a business ecosystem through reviewing the previous works, and draw several problems to be solved regarding public R&D commercialization in Korea from the perspective of ecosystem. Considering those, this research proposes the business ecosystem model for public R&D commercialization as a reference model for describing, discussing, and developing the technology commercialization strategy. The proposed model consists of 4 domains as follows: R&D, technology market, information distribution channels, and customers. The business ecosystem model shows that technology commercialization could be facilitated to create the market value through close relationship and organic cooperation among its members that form the ecosystem. Public research institutes as a keystone player could control the fate of the ecosystem. In this regard, this paper suggests roles of public research institutes for evolving the business ecosystem.

• Polymer Science and Technology
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• v.15 no.6
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• pp.713-719
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• 2004