• 한국IT서비스학회지
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• 제10권1호
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• pp.191-209
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• 2011

The purpose of this research is to develop a service R&D concept definition and finding service R&D demand in Korea. It is necessary to develop an effective service R&D model to improve the competitiveness of the service industry. A survey model for finding service R&D demands has been developed through extensive discussions with experts. A demand survey for 91 experts in service industry and academia has been conducted to find relative weights of each service R&D category. Several other aspects on service R&D has beed investigated to analyze the relative importance of service R&D subjects. And a benchmarking on previous service R&D research investment has been performed. Past and present service R&D topics are compared as a whole and by each individual domain. A service R&D framework and important funding areas has been suggested. The results of this research can be used for research fund allocation decisions for strengthening service industry competitiveness.

• 한국IT서비스학회지
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• 제10권4호
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• pp.295-307
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• 2011

The purpose of this research is to find a better knowledge service R&D management process. There are four basic characteristics in service : intangibility, inseparability, inconsistency, and no inventory. These intrinsic characteristics require us to change the traditional manufacturing sector based R&D management process. It is necessary to develop an effective knowledge service R&D management model to improve the competitiveness of the service industry and Korean economy. A model case knowledge service R&D has been performed to find a better R&D management model. The whole cycle of R&D process, such as planning, selection, performing, and evaluation has been reviewed by real experience. Several important aspects of R&D process are compared between manufacturing R&D and service R&D. A knowledge service R&D management framework has been suggested. The results of this research can be used for building a better service R&D management process.

• 한국IT서비스학회지
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• 제13권4호
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• pp.341-357
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• 2014

Service R&D that adds high value to existing products and service by scientification, IT convergence, intellectualization is a core business of creative economy. It is necessary to examine the service R&D revitalization plan by establishing service R&D hub researching the service R&D because a shortage of facility and infrastructure makes impossible to turn ideas into products (service). This research aims at establishing the implementation plan of service R&D hub that invigorates local service industries and contributes to carry out the plan. Service R&D hub is a focal point of service R&D activities which inter-connects service R&D activities distributed across ministries of central government and fields of studies, and which invigorates service R&D activities and enhances competitive power of service industries in Korea. It is necessary to establish main hub like Service Engineering Research Center in Japan and Fraunhofer IAO in Germany which take the lead in national service R&D activities, and make it build the solid foundation of service R&D activities in public sector and also create service innovation ecosystem. Considering the interdisciplinary characters of service R&D, it is essential to establish additional sub-hubs to meet a variety of demands of service R&D. It is also necessary to establish 'Living Lab', an open innovation system, which connects research institutions, universities, and corporates to make them target the specific fields of their own, and enhance open R&D and innovation in service industries.

• 서비스연구
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• 제2권2호
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• pp.1-21
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• 2012

e-R&D 활동이란 가상공간에서 인터넷 등의 네트워크나 컴퓨터 소프트웨어를 이용하여 R&D 활동을 전개해 나가는 것을 의미한다. 최근 빠른 속도의 기술변화와 다양해진 고객의 수요로 인해 기업은 생산성 향상의 문제에 직면하면서 e-R&D 필요성을 절감하고 있다. 본 논문에서는 e-R&D의 동향, 적용 사례 및 e-R&D 활성화를 위한 전략적 시사점을 살펴보고, 이를 통하여 미래기업의 e-R&D 모델과 디지털산업 육성 및 기술경쟁력 확보를 위한 e-R&D 정책을 제시하였다.

• 한국IT서비스학회지
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• 제12권2호
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• pp.373-386
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• 2013

The purpose of this research is to develop a model for efficient service R&D investment in government budgeting process. It is necessary to develop an efficient and effective investment model to improve competitiveness of the service industry and national economy. Various existing types of service R&D classification have been reviewed. And object-oriented service R&D request classification types have been derived. A tentative model for evaluating service R&D requests have been developed through extensive discussions on effective methodologies. The model has been refined and revised by four service budgeting experts. The revised and refined checklists and guidelines have been used for 40 real service R&D requests evaluations. As a result, a full model for service R&D evaluation and budgeting has been proved to be useful. Also, a need for more efficient and concise evaluation model has been raised through this evaluation process. A brief model with only 10 checklists has been developed and its usefulness has been proven by pilot test with 10 real service R&D requests. The results of this study can be used for evaluation of service R&D proposals and effective budgeting of R&D requests for improving global competitiveness. Further research is needed for refining the developed evaluation models.

• 한국IT서비스학회지
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• 제8권3호
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• pp.1-14
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• 2009

Due to economic turbulence and fierce competition in the IT service industry, companies have been seeking breakthrough of offerings by investing in research and development (R&D). This paper aims to examine the impact of R&D expenditure size on financial performance focusing on Korean IT service companies. The expected growth rate of revenue and net profit in the upcoming two years were analyzed based on three groups according to different R&D expenditure rates using collected data from 100 of IT service companies. Unlike our presumptions, our finding presents a non-significant relationship between the R&D expenditure size and companies' financial performance. An interesting result among others is that all companies invested in R&D strongly believe there will be an increase of their financial performance in the future.

• 기술혁신연구
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• 제16권2호
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• pp.41-63
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• 2008

Employing firm-level data during the period of 1980-2006, this paper analyzes the R&D efficiency of IT SMEs. We focus on comparing the R&D efficiency of IT SMEs with that of large-sized IT firms and non-IT SMEs. The results are summarized as follows. First, the R&D investment of IT SMEs has not been increased since 2000. In IT manufacturing industry, the portion of the R&D investment of IT SMEs is no more than 10.6% in 2005. Second, we analyze the innovation capacity of SMEs with the number of the patent application. The result is similar with the trend of R&D investment. The portion of the patent application of SMEs has not been increased since 2000. Third, the R&D efficiency of non-IT firms is higher than that of IT SMEs regardless of the firm size. The R&D efficiency of non-IT SMEs is over three times as large as that of IT SMEs. Meanwhile, The R&D efficiency of the large-sized non IT firms is 1.86 times as large as that of IT large-sized firms. Finally, we estimate the R&D elasticity and compare between IT manufacturing and service industry. The result shows that the R&D elasticity of IT service industry is higher than that of IT manufacturing industry, regardless of firm size.

• 한국IT서비스학회지
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• 제15권2호
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• pp.51-63
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• 2016

In this study, we conducted a comparative analysis of R&D investment efficiency and operational efficiency of IT firms using Data Envelopment Analysis (DEA). We categorized thirteen sample firms into two groups-IT manufacturing and IT service-after an extensive literature review on IT industry classification. We adopted an output-oriented two-stage DEA model suggested by Banker et al. (1984) with total asset and R&D investment as input variables. Then, we constructed investment efficiency and operational efficiency by using Return on Equity (ROE) and Return on Asset (ROA) as intervening variables and operating income and Earnings Per Share (EPS) as output variables. The outcome of the analysis is summarized as follows. First of all, IT manufacturing firms were more efficient (57% on average) than IT service firms. To be specific, IT service firms showed decreasing returns to scale (DRS) with diseconomy of scale. In contrast, IT service firms showed higher operational efficiency (81.5% on average) than IT manufacturing firms. Also, we conducted a Mann-Whitney U test to compare the output of IT service firms and IT manufacturing firms. Lastly, we found a negative correlation ($R^2$ = -.754) between R&D investment efficiency and operational efficiency which infers the trade-off between two constructs

• 서비스연구
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• 제13권1호
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• pp.144-158
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• 2023

기업과 정부의 연구개발(R&D: Research and Development) 투자는 지속적으로 증가해, 2021년 공공과 민간의 전체 연구개발비는 102조 1,352억 원으로 100조원을 돌파하였고, GDP 대비 R&D 투자 비중이 4.96%로 이스라엘에 이어 전 세계 2위 수준으로 나타났다. 본 연구는 100조원을 돌파한 국내 연구개발 투자의 R&D 생산성 제고 측면에서 국내 연구 서비스산업 현황과 연구개발(R&D) 혁신 생태계를 통계청의 기업활동조사 데이터를 바탕으로 분석하고 글로벌 연구 서비스산업과 기업 현황과 연구(R&D) 서비스 산업 지원을 위한 정부 정책을 조사 및 분석하였다. 특히, 본 연구에서는 기업활동조사 데이터를 바탕으로 업종별 연구개발(R&D) 서비스 외부 위탁에 대한 분석과 연도별 연구개발(R&D) 서비스 외부 위탁에 대한 조사를 통해 국내 연구(R&D) 서비스산업 현황에 대해 조사 분석하였다. 이를 통해 업종별 국내 연구(R&D) 서비스 산업 수요에 대한 주요 변화 추이를 제조업과 서비스업 관점에서 도출하였다. 분석 결과 국내 R&D 생태계는 전통적인 제조기업의 R&D 아웃소싱 수요가 정체된 것에 비해 서비스기업의 R&D 아웃소싱 수요가 급속도로 증가하고 있는 것으로 나타났다. 특히 국외 위탁기업이 지속적으로 확대되는 반면에 국내 연구개발 위탁 기업은 비중이 감소 추세를 보이고 있는 상태이다. 또한 서비스 업종별로 차별적인 특징을 보여주었다. 본 연구에서는 글로벌 연구 서비스 기업에 대한 조사와 연구(R&D) 서비스산업 지원 정책에 대한 분석을 바탕으로, 이러한 변화하는 기술 혁신과 연구(R&D) 서비스 수요에 대응하기 위해 제조기업과 서비스기업 R&D 아웃소싱 균형지원, 국내 연구개발 외부위탁 확대, 서비스업종 특화 R&D 아웃소싱 전략수립, 개방형 R&D 생태계 구축, 소재·부품·장비 전략과의 연계 혁신 방안을 제시하였다.

• Journal of Information Technology Applications and Management
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• 제20권1호
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• pp.173-195
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• 2013

This study is to analyze the impact of the absorptive capacity and information technology (IT) on firms' innovation. The absorptive capacity is measured by R&D investment intensity, R&D manpower concentration, and the firm's size. We try to see the interaction effects between the absorptive capacity and IT usage on firms' innovation. We also look into the differences of the impacts between manufacturing industry and service industry as well as IT industry and service industry. We found that IT and R&D intensity have stronger interaction effect on innovation in manufacturing industry than in service industry, which shows that IT plays a more important role in the accumulation of knowledge in R&D activity in manufacturing industry. Contrarily, in service industry, IT and R&D manpower concentration has significant interaction effects on innovation. This means that the role of IT in service industry is sharing knowledge and experiences among employees in service industry. The interaction effect between firm's size and IT has positive impact on innovation in manufacturing industry, while it has negative impact on innovation in service industry. Finally, we found that the interaction effect is statistically significant in non-IT industry, while it is not statistically significant in IT industry.