• Title/Summary/Keyword: R&D innovation Strategy

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The Effects of Internal Competence and Growth Stages on the Performance of Venture Business : the Moderating Effect in Connection with Government Funding Utilization (벤처기업의 내부역량과 성장단계가 경영성과에 미치는 영향 : 정부 지원자금 활용의 조절효과를 중심으로)

  • Kim, Yoonjung;Suh, Yoonkyo;Hong, Jungim
    • Journal of Korea Technology Innovation Society
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    • v.21 no.2
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    • pp.636-662
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    • 2018
  • Recently, the Moon administration established the Ministry of Small and Medium-sized Enterprises (SMEs) and Startups, as part of its national strategy for start-up and innovation growth led by small and medium-sized venture companies. In a slowing economy, as venture companies with excellent internal competencies are seen to be favorable to growth, the government funding for technology development is becoming increasingly important. Previous studies examine the internal competence factors that can strengthen competitiveness through self-efforts and the influence structure of growth stage, which is an important factor in industrial environment, on business performance. As the government support for venture firms has been strengthened, the effect of government funding on the management performance and technological innovation performance of venture firms have been recently discussed in various ways. However, there is a lack of precedent research on the moderating effect of the utilization of government funding on the existing influence structure in which firm's internal competence and growth stages affects business performance. Therefore, this study examined whether the internal competencies of the venture firms and the stage of growth have direct effects on business performance and analyzed the moderating effect in connection with government funding utilization under these influence structures. The results of the study are as follows. First, the utilization of government funding in the venture firms whose R&D personnel ratio is relatively low, not to have own brands and showed an increase of employees has a significantly positive influence on business performance. Second, the moderating effects of the government funding utilization at the high growth stage of the venture firms are shown significantly. These results suggest that the venture policy linked to the job creation of the present government requires not only the support considering R&D personnel but also the necessity of supporting human resources policy to a greater extent and further study on the effectiveness of venture firms in the high growth stage.

An Empirical Study on Classification, Business Type, Organizational Culture on Performance of Korean IT SMEs·Venture (중소·벤처기업의 업종, 영업형태, 조직문화가 기업성과에 미치는 영향에 관한 연구: 삼원분산분석(3-way ANOVA)을 중심으로)

  • Roh, Doo-Hwan;Hwang, Kyung-Ho
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.2
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    • pp.221-233
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    • 2019
  • In Korea, small and medium sized domestic enterprises(SMEs) play an pivotal role in the national economy, accounting for 99.9% of all enterprises, 87.9% of total employment, and 48.3% of production. and SMEs was driving a real force of the development of national economy in many respects such as innovation, job creation, industrial diversity, balanced regional development. Despite their crucial role in the national development, most of SMEs suffer from a lack of R&D capabilities and equipments as well as funding capacity. Public R&D institutes can provide SMEs with valuable supplementary technological knowledge and help them build technological capacity. so, In order to effectively support SMEs, government and public R&D institutes must be a priority to know about the factors influencing the performance related to technology transfer and technological collaborations. In particular, SMEs are not only taking up a large portion of the national economy, but also their influence in politics and economy so strong that raising the competitiveness of small and medium-sized companies is a national policy goal that must be achieved in order to achieve sustained economic growth. For this reason, it is necessary to look specifically at the relationship between concepts such as the environment, strategy, and organizational culture surrounding the enterprise to enhance the competitiveness of SMEs. The paper analyzes 665 companies to find out which organizational culture affects their performance by classification and type of business of SMEs. This study demonstrated that when SMEs seek consistency in their external environment, strategies, and organizational structure to maintain their continued competitiveness. According to three-way analysis of variance (3-way ANOVA) indicates that classification of industries in SMEs has statistically significant main effects, but the type of business and organizational culture do not have significant effects. However, the company's organizational performance (operating profit) of SMES were found to differ significantly in comparison between groups according to classification standards of industries, and therefore adopted some parts. In addition, an analysis of the effect of interaction between the three independent variables of small and medium-sized enterprises has shown that there are statistically significant interaction effects among classification, types of business, and organizational cultures. The results shows that there is an organizational culture suitable for each industry classification and type of business of an entity, and is expected to be used as a basis for establishing promotion policies related to the incubation and commerciality of small and medium-sized venture companies in the future.

A Study on the Strategy of IoT Industry Development in the 4th Industrial Revolution: Focusing on the direction of business model innovation (4차 산업혁명 시대의 사물인터넷 산업 발전전략에 관한 연구: 기업측면의 비즈니스 모델혁신 방향을 중심으로)

  • Joeng, Min Eui;Yu, Song-Jin
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.57-75
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    • 2019
  • In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.

Artificial Intelligence and Blockchain Convergence Trend and Policy Improvement Plan (인공지능과 블록체인 융합 동향 및 정책 개선방안)

  • Yang, Hee-Tae
    • Informatization Policy
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    • v.27 no.2
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    • pp.3-19
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    • 2020
  • Artificial intelligence(AI) and blockchain are developing as the core technology leading the Fourth Industrial Revolution. However, AI is still showing limitations in securing and verifying data and explaining the evidence for the results, and blockchain also has some drawbacks such as excessive energy consumption and lack of flexibility in data management. This study analyzed technological limitations of AI and blockchain and convergence trends to overcome them, and finally suggested ways to improve Korea's related policies. Specifically, in terms of R&D reinforcement, we proposed 1) mid- and long-term AI /blockchain convergence research at the national level and 2) blockchain-based AI data platform development. In terms of creating an innovative ecosystem, we also suggested 3) development of AI/blockchain convergence applications by industry, and 4) Start-up support for developing AI/blockchain convergence business models. Lastly, in terms of improving the legal system, we insisted that 5) widening the application of regulatory sandboxes and 6) improving regulations related to privacy protection is necessary.

A Study on standardization and R&D directions of smart work technology (스마트워크 기술개발 및 표준화 추진 방향)

  • Min, J.H.;Huh, M.Y.;Park, J.Y.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.786-789
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    • 2015
  • Recent concept of smart wort which is advanced from that of existing smart work means the task performance method in which we can provide the highest value to our customers by accomplishing the customer-oriented business creatively, innovatively and quickly. New concept of smart work can come through adding multiple intelligence theory and open innovation to social media technologies which have the characteristics of high connectivity, collective intelligence, rapid feedback. In accordance with the evolution of smart work concept, it is necessary to make the plan and strategy on R&D and standardization through the analysis of key technologies in order to realize the advanced smart work and secure a leading position in smart work market. Accordingly, In this paper, we propose standardization tasks and technologies which our country can lead and present a long-term driving directions by analyzing the conceptual change of smart work, technology trends and standardization trends.

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The Characteristic of Social Problem: Solving Research of Public Research Institute (사례연구를 통해 본 공공연구기관의 사회문제 해결형 연구개발: 자원순환형 음식물 쓰레기 처리 시스템 개발)

  • Song, Wichin;Kim, Sueun;Sung, Jieun
    • Journal of Science and Technology Studies
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    • v.19 no.1
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    • pp.53-90
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    • 2019
  • The purpose of this study is to analyze a case of social problem- solving R&D project. The case is about a food waste disposer system built in housing complex The characteristics revealed through the case study are as follows. It has been performed by the 'Connect and Solution Development (C&SD)' strategy that could shorten the whole innovation process. In order to increase the economic and social acceptability of the system, researchers formed a dense network with citizens, firms and local governments and tried to improve existing law to make new markets for the system. Instead of developing a new system in a top-down approach, they chose to use existing technologies and entities to address social problems quicker and easier.

A Study of the Demands for Improvements in Speciality Construction Technology (전문건설 업종별 기술 개선을 위한 수요 분석에 관한 연구)

  • Cho, Jaeyong;Lee, Baul
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.2
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    • pp.24-32
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    • 2022
  • In Korea, the productivity of the construction industry is evaluated at a very low level, and the utilization of the elemental technology of the Fourth Industrial Revolution is also very low compared to other industries. In order to solve this problematic situation, it is necessary to identify the demand for technology improvement in the specialty construction industry that is directly in charge of construction in projects. Therefore, this study aims to investigate improving construction competitiveness and the demand for technology improvement in Korea's specialty construction industry. First, the concept and status of classification of the specialized construction industry were identified, and a questionnaire was organized. Second, a survey was conducted on experts construction experts, and the demand for technical improvement of the specialty construction industry was derived by applying AHP and cluster analysis. The results of this study will serve as a practical reference for policy development, R&D direction, and technology development roadmap to enhance construction competitiveness in the future, and ultimately will help to present directions to improve the construction competitiveness of the construction industry.

A Study on the Success Factors of Technology Transfer and Commercialization in the High-Technology Industry: Collaboration between KETI and Probe Card Company (하이테크 산업에서 기술이전을 통한 사업화 성공요인에 관한 연구: 전자부품연구원과 프로브카드 회사의 협력 사례를 중심으로)

  • Lim, In-Jong;Lee, Sang Myung;Lee, Jeonghwan
    • Journal of Korea Technology Innovation Society
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    • v.17 no.3
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    • pp.490-518
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    • 2014
  • This study investigated the success factors of technology transfer and commercialization in the high-technology industries. We specifically analyzed the case of technology transfer between KETI and probe card company. The main purpose of this research is to seek and analyze the most influential factors which can lead to successful technology transfer and technology commercialization both in terms of government policy and corporation strategy. This research oversees the previous research works. framework setting and case study analysis to derive implications in the following points of views: technology receiver, technology provider, technology's characteristics, technology transfer's process. The important findings of this study are as follows. In the terms of technology receiver, the experience in technology transfer and commercialization, will to support for R&BD and rich technology pool are also important. In terms of technology provider, acquisition strategy, will to push, complementary assets and absorptive capacity are very crucial. In terms of technology's characteristics, R&D stage, technology category and connectivity of existing technology are closely related with successful transfer and commercialization. Finally, Support of TLO and active participation of transfer process are important factors in terms of technology transfer's process.

A Regression-Based Approach for Central Warehouse Location Problem (중앙창고 입지선정을 위한 회귀분석기반 해법)

  • Yoo, Jae-Wook;Lee, Dong-Ju
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.2
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    • pp.57-65
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    • 2009
  • In continuous review inventory model, (${\varrho}$, ${\gamma}$) system, order quantity(${\varrho}$) and reorder point(${\gamma}$) should be determined to calculate inventory-related cost that consists of setup, holding, and penalty costs. The procedure to obtain the exact value of ${\varrho}$ and ${\gamma}$ is complex. In this paper, a regression analysis is proposed to get the approximate inventory-related cost without the determination of ${\varrho}$ and ${\gamma}$ in the case that the standard deviation(${\sigma}$) of the lead time demand is small or that the mean(${\mu}$) of the lead time demand is proportional to ${\sigma}$. To save inventory-related cost, central warehouses with (${\varrho}$, ${\gamma}$) system can be built. Central warehouse can provide some stores with products with the consideration of the tradeoff between inventory-related cost and transportation cost. The number and the location of central warehouses to cover all the stores are determined by a regression-based approach. The performance of the proposed approach is tested by using some computational experiments.

Balancing the nuclear equation: Climate policy uncertainty and budgetary dynamics

  • Chang Li;Sajid Ali;Raima Nazar;Muhammad Saeed Meo
    • Nuclear Engineering and Technology
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    • v.56 no.7
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    • pp.2850-2858
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    • 2024
  • Amidst the uncertainties of climate policy, investing in nuclear energy technology emerges as a sustainable strategy, fostering innovation in a critical sector, while simultaneously addressing urgent environmental concerns and managing budgetary dynamics. Our investigation inspects the asymmetric influence of climate policy uncertainty on nuclear energy technology in the top 10 nations with the highest nuclear energy R&D budgets (Germany, Japan, China, France, USA, UK, India, South Korea, Russia, and Canada). Previous studies adopted panel data methods to evaluate the linkage between climate policy uncertainty and nuclear energy technology. Nonetheless, these investigations overlooked the variability in this association across various countries. Conversely, this investigation introduces an innovative tool, 'Quantile-on-Quantile' to probe this connection merely for every economy. This methodology concedes for a more accurate evaluation, offering a holistic global perspective and delivering tailored insights for individual countries. The findings uncover that climate policy uncertainty significantly reduces nuclear energy technology budgets across multiple quantiles in most selected economies. Additionally, our results highlight the asymmetries in the correlations between our variables across the nations. These findings stress the need for policymakers to conduct thorough assessments and skillfully manage climate policy uncertainty and nuclear energy budgets.