• STI Policy Review
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• v.3 no.2
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• pp.130-151
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• 2012

Fraunhofer was founded in 1949 and grew into Europe's largest application-oriented research organization. Fraunhofer currently employs over 20,000 members in Germany, is internationally networked, and manages an R&D budget of over 1,8 Billion Euros per year. An important step for Fraunhofer to become an integral component of the German innovation system was the introduction of the Fraunhofer Model of financing based on a performance-related system of financial management. The underlying model of the allocation and distribution of public funding to Fraunhofer that is subsequently allotted to specific research groups is one of the success factors of Fraunhofer. Fraunhofer is proud of its decentralized organizational model. Fraunhofer is comprised of 60 Institutes in Germany working in different fields, under one legal framework, and with a strong brand value. Every Fraunhofer Institute is affiliated with a German University and every institute director simultaneously holds a chair at the affiliated university. It is a challenge for the headquarter organization to balance the intended competition of individual Fraunhofer Institutes with complementarity cooperation in science among Fraunhofer-Institutes, especially when coming from different knowledge domains; however, this goal results in a significant advantage. The unique strengths of Fraunhofer offer system solutions in a world with increasingly complex R&D challenges. While growing to become the largest organization on Europe to focus on applied research it is the challenge to remain an agile organization that is flexible in organizational structure. Fraunhofer has reached a well-recognized position in the European innovation landscape. It is often referred to by science and governments as a role model for innovation policy and a key element of the latest successes in the German economy that has recovered quicker from the latest economic crisis than most other western economies. The paper explains Fraunhofer as an organizational paradigm and its underlying management model to elaborate on the challenges of managing a research organization. We wish to show how it is possible to transfer the management model and philosophy of Fraunhofer to innovation systems with different framework conditions and challenges. A universal conclusion may be drawn based on the description of Fraunhofer; however, changes in existing structures and innovation systems cannot be implemented over night.

• Journal of Venture Innovation
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• v.6 no.1
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• pp.115-137
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• 2023

This study analyzed the relationship between organizational innovative capability and absorptive capacity, market and technology orientations, and their impact on business performance for IT-BPO companies that are required to absorb new technologies from a leading perspective in the digital transformation era. To achieve this, an online specialized research company and offline surveys were conducted on 291 domestic IT-BPO companies, and SPSS 23 was used for descriptive statistics and reliability analysis while AMOS 23 was used for hypothesis testing including validity and mediating effects. The main findings were as follows: First, in the relationship between innovation and absorptive capabilities and Market Orientation Strategic(MOS), learning capability and knowledge network capability were found to have a statistically significant positive (+) effect on MOS. In the relationship between innovation and absorptive capabilities and Technology Orientation Strategic(TOS), R&D capability, potential absorptive capacity, and realized absorptive capacity had a statistically significant positive (+) effect on TOS. Second, in the relationship between innovation and absorptive capabilities and BP, only R&D capability was found to have a significant effect on BP. Third, both market orientation and technology orientation were found to have a significant positive (+) effect on BP. These findings suggest that effective competency factors can be identified according to the market and technology orientations pursued by IT-BPO companies to increase their growth and value creation, and provide implications for developing differentiated competency enhancement strategies based on strategic objectives.

• Transactions of the KSME C: Technology and Education
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• v.3 no.2
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• pp.149-154
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• 2015

Disruptive innovation means the innovation which obsoletes the existing technology by a new technology. Like the examples of disruptive innovation, film camera and digital camera and PC and laptop, CAE technology can be regarded as a disruptive technology which can raise the disruptive innovation. CAE technology which is being improved dramatically with the development of the related technologies brings the innovation in the design and validation process in manufacturing industry. This innovation can change the rule of the market so that the researchers, companies and CAE enginnees should pay attention to it. Also not only the improvement of the technology but also the training and cultivation of the engineers who can utilize CAE technology are very important and cannot be neglected.

• Knowledge Management Research
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• v.15 no.4
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• pp.207-221
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• 2014

Due to the awareness for the importance of social capital, many researches have investigated that social capital contributes to the successful implementation of product innovation. Although most researchers tried to model the effect of social capital on product innovation as a linear relation, we consider it too simplistic and fuzzy because knowledge utilization which ultimately leads to product innovation should exist in the relationship between social capital and product innovation. Using 107 survey data, this study found there is a partial mediating effect of knowledge utilization on the link between structure aspect of social capital and product innovation (i.e., new product development and improvement in existing products). Next, this study reported knowledge utilization does act as a perfect mediating variable on the link between awareness aspect of social capital and improvement of existing products, but act as a partial mediating variable on the link between awareness aspect of social capital and new product development. Finally, this study found that knowledge utilization does not act as a mediating variable on the link between relation aspect of social capita and product innovation.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2010.05a
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• pp.184-205
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• 2010

The service industry is drawing economic growth, and the financial service sector among service industry takes major share. So it is needed to increase the productivity and efficiency through the service innovation of making a good process, standardization, automation. But contrary to manufacturing industry, the difficulty to measure the characteristic of productivity, quality and innovation in service sector requires more scientific and systematic method for service innovation. This paper will search for financial service innovation strategy with service science by the case review of KOTEC's technology rating system. The case may infer that strategic technology management capability along with customized financial service infrastructure is important.

• Journal of Aerospace System Engineering
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• v.10 no.4
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• pp.41-49
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• 2016

This research intends to make a model of space development in Korea as a sectoral innovation system. The main contents include a character analysis of the elements of three low levels of the space development innovation system, including governance (the main agent and cooperation relationship of which the center is a research institute supported by government), resources (financial resources and human resources), and the diffusion of research results. It is important to grasp the factors that bring about technological innovation of industrial sectors to produce technological innovation policy. Technology innovation policy should thus be formulated for specific, individual sectors, and not all sectors.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.95-118
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• 2004

In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement (DISR 2000, 20010, launched by the Australian Prime Minister?in January 2001, commits an additional $3 billion over five years to encourage and support innovation. The Australian Government aims to?build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity.?It develops policies and programs to enhance investment in innovation. The Australian Government has established a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around $400?million a year. This cost is expected to rise to over half a billion by 2005-06 (Commonwealth of Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.5 no.2
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• pp.1-31
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• 2010

Biotechnology has strategic importance related to the development of start-up companies, industries and nations in the near future. Therefore, many countries have promoted and developed biotechnology. The United States has led the world in promoting biotechnology. American biotechnology policies are diverse, and thus no comprehensive systematic studies have been done on it. In our paper, we will discuss American biotechnology policy in detail. For effective analysis, we will rely on the concept of a national innovation system, which emphasizes the institutional settings of innovation actors and their interaction. This paper deals with the American national innovation system for biotechnology. We will analyze the role of major actors, academia, public research institutes, and venture companies and their interactions. The American biotechnological innovation system is composed of diverse actors and numerous start-up companies in the biotechnology industry. In addition, there are many diverse policy programs for promoting biotechnology. Because of country-specific frame conditions, every country has different institutional settings and policies for promoting biotechnology. Our paper will render meaningful implications for various countries. We also think that this paper will be of interest for international readers.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.68-76
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• 2006

It is generally thought that the quality management and the six-sigma management innovation are not applicable to service industry, which might be derived from some differences between service and manufacturing industries. However, both are substantially alike in some intrinsic attributes. KT is leading the quality management and the six-sigma innovation activities in service industry, especially among telecommunication companies in Korea. Six sigma management innovation has been fostered in KT within short period of time and played an important role in helping KT privatized successfully. The successful cases of six sigma innovation activities in KT could be introduced to other Korean companies in service industry. Five key factors for the success of six-sigma innovation activities are suggested, The hidden factory in all the fields of company should be eliminated. Six-sigma projects need to be connected with the company strategy. The project should be carried out intensively in a short time. The innovation activities in the field need to be integrated. The best practice of six-sigma should be disseminated in the field.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.555-563
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• 2020

The study seeks to investigate the relationship between knowledge sharing and innovation in garment and textile enterprises. While previous research has found many factors influencing knowledge sharing, little research has been done about the influence of knowledge sharing on innovation in enterprises in developing countries like Vietnam. In particular, the textile industry plays an important role in export, but outsourcing is accounting for a high proportion of trade; it is necessary to increase innovation in order to increase the competitive advantage by internal capacity. The data is collected from a survey of 245 employees at 20 textile and garment enterprises in Vietnam to study the knowledge sharing influence on innovation. The methodology includes pilot study and quantitative method. The pilot study tests the questionnaire on the respondents. The quantitative method applies SEM analysis to measure the knowledge sharing influence on innovation. The results identify eight factors that positively impact knowledge sharing: rewarding, teamwork, management support, joy of knowledge sharing, communication, trust, commitment, and information technology. This study also shows that knowledge sharing affects innovation. The main findings are discussed for textile and garment enterprises to apply innovative capacity in the context of increasing global integration.