• Journal of the Korea Society of Computer and Information
• /
• v.23 no.12
• /
• pp.211-218
• /
• 2018

In this paper, we propose that investigating the relationship between the dynamic capacity and the technological innovation performance of firms. Based on the previous research, we divide the dynamic capacity into the adaptive capacity, absorption capacity, and productive capacity. Among the 3,400 companies responding to the technical statistics of SMEs in 2011, we performed multiple regression analysis with 2,807 except service industries. As a result, the absorptive capacity and productive capacity have a positive effect on the technological innovation performance at the 99% level, whereas the adaptive capacity has a negative effect on the technological innovation performance at the 95% level. The implications of this study are as follows. First, in order to improve the performance of technological innovation, it is important to strengthen the absorption capacity and productive capacity of companies. Absorption capacity shows that it is important to secure sufficient R & D manpower and R & D cost to utilize internal knowledge as well as to bring outside knowledge into the capacity to assimilate and utilize external knowledge. Second, the ability to commercialize a product is a capability to commercialize a technology that has succeeded in development, showing that the technology development organization must have the capability of post-development commercialization as well as technology development. Finally it shows the negative effect on adaptation capacity and innovation performance. Companies actively utilize external sources of information in order to respond to and adapt to the rapidly changing business environment. However, the results of this study show that a strategic approach is needed to use external sources of information and technology development resources. Especially as the use of external information resources and technology development resources increases.

• Asian Journal of Innovation and Policy
• /
• v.8 no.3
• /
• pp.362-377
• /
• 2019

Commercializing universities' R&D outputs is a major management challenge and there are limited studies to describe this phenomenon from the perspective of companies' management. Experiences of six small and medium size and four large companies' management's respondents are gathered through semi-structured face-toface interviews. Twelve critical success factors revealed by the respondents, namely R&D product and market readiness, good partnership with university, researcher's motivationand commitment, availability of resources, government support and motivation, control and ownership of intellectual property rights, university's management support, entrepreneurial culture in the university, an open communication and trusting relationship, researchers' skills, a risk taking attitude, and existence of performance measures as important to commercialize the universities' R&D outputs in Malaysia. The different views from the management of small and medium size, and large companies are also discussed in this study.

• Journal of Technology Innovation
• /
• v.12 no.1
• /
• pp.287-304
• /
• 2004

Since there are various types of technologies in the steel manufacturing industry, steel manufacturers need to adopt the most suitable technology Pricing method contingent on the technology type. Steel manufacturing technologies could be categorized as three groups. First, product and process technologies can enhance sales and contribute revenue increase, DCF method could be recommended. Second, maintenance and quality management technologies are mainly embodied in people, human resource profitability method is more suitable. Third, break-through technologies have great uncertainty in terms of commercialization and commercial success, therefore cost saving method is more reasonable. Finally, a sample case is suggested applying above technology pricing model to a steel manufacturer.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2003.05a
• /
• pp.313-335
• /
• 2003

It has been thirty years since Daedeuk Science Park was established in Daejeon, Korea. The Park has grown to be a national center for scientific activities, hosting more thirty research institutes at major scale with 12,000 scientists. As a main purpose of establishing the science park was to promote sciences as basic research, there have not been much economic impacts created from the science park. There have also been very little networks established among research and educational institutes within the science park and the city of Daejeon in general. After the economic crisis in 1997, however, there have been increasing changes around the Park. Since then more than 400 technology-intensive firms were newly created, mainly from the research institutes, or introduced to the Park area. This paper analyzes R&D networks of these small firms, especially with research institutes and universities, based on a questionnaire survey. The paper has argued: 1) to establish technology transfer centers, 2) to emphasize research related to commercialization, 3) to intensify advertizement of research outputs to the potential entrepreneurs, 4) to assist entrepreneural associations of concerned companies.

• Journal of Technology Innovation
• /
• v.8 no.2
• /
• pp.119-143
• /
• 2000

The main objective of this study is to test hypotheses by empirical study on the technology transfer from a national institute to small and medium sized enterprises(SMEs) in the Korean electronic devices industry. The important findings of the study are as follows: First, the success of the technology transfer from national institute to SMEs depends on the character of the project manager such as research experience and academic degree level. Second, the success of the technology transfer is related to the nature of the research project, especially to the technology life cycle stage but insignificantly to the amount of R&D fund and duration. Third, another success factor for technology transfer is the joint technology development between institute and SMEs, which is due to the possibility of early commercialization of the technology development project. Fourth, the hypothesis about the relationship between the project selection and evaluation results and technology transfer success is not statistically supported.

• Journal of Korea Technology Innovation Society
• /
• v.8 no.2
• /
• pp.623-649
• /
• 2005

This study examines the underlying properties of technology valuation and empirically tests the difference in various aspects of the determinants of technology valuation in Korea. In particular, this study analyzes influential factors on the determination of economic value of a technology. For this purpose, we look into the trends of technology valuation in Korea and analyze the patterns of technology valuation in terms of intellectual property, technology area, discount rate, and contribution of technology to business value. By doing so, this paper investigates how the economic value of a technology in transfer or commercialization of technology is determined in Korea and draw implications from the process of discussion.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2005.10a
• /
• pp.119-135
• /
• 2005

Four years have passed since Korea launched its intensive development plan for nanotechnology. Now, at the moment of transition moving to the second phase of nanotechnology development, it is very important to evaluate the results of government-driven nanotechnology development peformed for last four years. In the present study, the trends of R&D and commercialization in nanotechnology area were in-depth investigated in both Korea and other countries. And Korea's nanotechnology level was compared with those of other advanced countries. This study is useful for establishing the government policy for nanotechnology development and amending the second phase plan of nanotechnology development in Korea.

• Journal of Technology Innovation
• /
• v.13 no.3
• /
• pp.131-151
• /
• 2005

Industrial Technology Development Program enables the recipient to set up technology infrastructure and to facilitate technology diffusion. In return, government charges royalty from the program recipient. However, the current royalty system is not in the effective form. This study analyzes the various aspects of royalty collection methods applied to the Industrial Technology Development Program and recommend the following: (1) employ the combination of fixed amount royalty and running royalty with predetermined portion of revenue generated, (2) adjust the royalty collection duration by applying product life cycle, and (3) devise new program to link extra-gain from royalty collection with commercialization and other means to increase the effectiveness of research and development activities.

• Journal of Korea Technology Innovation Society
• /
• v.20 no.1
• /
• pp.175-204
• /
• 2017

The existing innovation policies and strategies mainly focused on the influencing factors for improvement of innovation outcome. However, these strategies were not always successful in driving innovative activities that make technology innovation disseminated. In this regard, innovation ecosystems approach has recently been coming to the force to establish a successful innovation strategy. The innovation ecosystems concept describes that innovation processes are evolved through collaborative networks of economic actors. In an innovation ecosystem, different organizations collaborate for technology development and its use. They interact for value co-creation by sharing mutual resources. The organizational networks are re-organized by dynamic changes of actors' interactions, which drive innovation mechanism of the networks. Recent studies on innovation ecosystems mostly have paid attention on developing theoretical frameworks to describe dynamics of an innovation ecosystem. There have hardly been empirical tests on the theoretical ecosystem models. In this vein, we investigated dynamics of an innovation ecosystem by analyzing structural characteristics of a collaborative network among organizations which are involved in the use of innovative technologies. Particularly, we examined the longitudinal changes of the interaction patterns among the organizations. This test was performed by an analysis of structural equivalence on the network dataset transformed from the organizational interactions. This result provides a guideline for an organization in developing an innovation strategy under a systemic perspective.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.13 no.2
• /
• pp.91-100
• /
• 2018

Small and medium enterprises (SMEs) endeavor to overcome the adverse resource conditions and secure competitive advantage through technological innovation capability. Prior studies have focused on the overall or specific dimensions of technological innovation capability, and examined their performance impact. However, there has been less scholarly attention on the dynamic characteristics such as the relative importance of technological innovation capability or its performance impact at the different growth stages of a firm. In this vein, this study investigates the relationship between SME innovation capability and innovation performance at each growth stages of a firm. Based on the empirical analysis of manufacturing SMEs in Korea, we found that all dimensions of technological innovation capability had positive effects on innovation performance. However, each dimension of technological innovation capability had different effect on innovation performance by the growth stages. The planning capability can improve innovation performance at the growth and maturity stages. Manufacturing capability can have positive effect on innovation performance at the maturity stage. Both of new product development capability and commercialization capability contribute to innovation performance at all of the growth stages. This study suggests the guidelines for enhancing technological innovation capability at the different growth stages of SMEs. It also provides policy implications for the design and operation of growth-stage specific programs. Finally, the limitations of the research and future research directions are presented.