• Journal of Korea Technology Innovation Society
• /
• 제13권1호
• /
• pp.99-123
• /
• 2010

We develop Open Innovation Analysis Method in the Patent analysis field and applies it to analyze Deagu-Gyung-buk Cases. After Chesbrough researches the open innovation situation about U. S. company Cases, many researchers began to study about Open Innovation of Companies. And Hippel participated in User Innovation research about Medical equipments and extreme sporting equipments. He pointed out that user innovation occurred new products. I call it User based Open Innovation. But the methods for Open Innovation are limited such as Case study, Survey analysis, and Quality study. So, we need to develop objective analysis method for open innovation of any firm. In this study, we want to develop new objective analysis method for open innovation and apply it to analyze rocal cases and global comparative studies. We will develop the Chesbrough's patent analysis method about open innovation.We apply this new open innovation analysis method to analyze medical equipment and fuel cell industries in Daegu and Gyung-buk Province. faembedded structure of the cooperative research network of innovation We also will apply this method to analyze Samsung and Nokia Mobile industry, and Hyundae and Toyota automobile industry.

• World Technopolis Review
• /
• 제4권1호
• /
• pp.11-22
• /
• 2015

Globalization, increasing technological advancements and dynamic knowledge diffusion are moving our world closer together at a unique scale and pace. At the same time, our rapidly changing society is confronted with major challenges ranging from demographic to economic ones; challenges that necessitate highly innovative solutions, forcing us to reconsider the way that we actually innovate and create shared value. As such the linear, centralized innovation models of the past need to be replaced with new approaches; approaches that are based upon an open and collaborative, global network perspective where all innovation actors strategically network and collaborate, openly distribute their ideas and co-innovate/co-create in a global context utilizing our society's full innovation potential (Innovation 4.0 - Open Innovation 2.0). These emerging innovation paradigms create "an opportunity for a new entrepreneurial renaissance which can drive a Cambrian like explosion of sustainable wealth creation" (Curley 2013). Thus, in order to materialize this entrepreneurial renaissance, it is critical not only to value but also to actively employ this new innovation paradigms so as to derive community-driven shared value that stems from global innovation networks. This paper argues that there is a gap in existing business incubation model that needs to be filled, in that the innovation and entrepreneurship community cannot afford to ignore the emerging innovation paradigms and rely upon closed incubation models but has to adopt an "open incubation" (Ziouvelou 2013). The open incubation model is based on the principles of open innovation, crowdsourcing and co-creation of shared value and enables individual users and innovation stakeholders to strategically network, find collaborators and partners, co-create ideas and prototypes, share their ideas/prototypes and utilize the wisdom of the crowd to assess the value of these project ideas/prototypes, while at the same time find connections/partners, business and technical information, knowledge on start-up related topics, online tools, online content, open data and open educational material and most importantly access to capital and crowd-funding. By introducing a new incubation phase, namely the "interest phase", open incubation bridges the gap between entrepreneurial need and action and addresses the wantpreneurial needs during the innovation conception phase. In this context one such ecosystem that aligns fully with the open incubation model and theoretical approach, is the VOICE ecosystem. VOICE is an international, community-driven innovation and entrepreneurship ecosystem based on open innovation, crowdsourcing and co-creation principles that has no physical location as opposed to traditional business incubators. VOICE aims to tap into the collective intelligence of the crowd and turn their entrepreneurial interest or need into a collaborative project that will result into a prototype and to a successful "crowd-venture".

• Journal of Korea Technology Innovation Society
• /
• 제13권1호
• /
• pp.160-183
• /
• 2010

Recently, although many firms conduct open innovation through collaboration with other innovation actors, little attention has been paid to research and case study with regard to SMEs. However, since the capability of SMEs is too insufficient to access external resources and collaborate with other firms, SMEs have practical needs for active open innovation. In addition, although a lot of SMEs depend on external resources in terms of distribution, services and sales, most of open innovation-related research concentrate on R&D and production. Therefore, this research aims at presenting various types, methods and policy to stimulate the open innovation of SMEs. Typical types of open innovation which SMEs can take will be identified and then a relevant open innovation type will be matched on the basis of the characteristics of sectors. The results of this research will be helpful for policy makers to promote open innovation in SMEs.

• Journal of Korea Technology Innovation Society
• /
• 제14권3호
• /
• pp.431-465
• /
• 2011

Focusing on open innovation which is regarded as an important framework for strengthening technological innovation capabilities, in this study empirical analysis is conducted on Korean manufacturing companies, particularly based on the survey results of 149 domestic manufacturing companies that carry out innovation activities in order to identify influence factors for open innovation activities. Analysis on the influence factors of open innovation activities categorized into characteristics of environment, firm-specific characteristics, and characteristics of institutions revealed that characteristics of environment in terms of the degree of market competition and technological changes influence outside-in open innovation activities. Such results suggest that companies respond to increased market competition or technological changes by promoting research and development (R&D) and maintaining or acquiring market competitiveness through introduction of external technology and utilization of external information by means of research collaboration, user innovation, and so on. In terms of firm-specific characteristics, outside-in open innovation activities are influence by R&D personnel, R&D investment, number of international business, export, and openness of corporate culture while inside-out open innovation activities are influenced by characteristics of international organization and CEO's capabilities. In order for companies to strengthen outside-in open innovation activities emphasis on research personnel, R&D input factors such as research funds are necessary whereas to increase inside-out open innovation activities organization solely responsible for international affairs should be established while the CEO needs to focus on open and cooperative entrepreneurship rather than internal technological innovation activities. In terms of characteristics of institutions, outside-in innovation activities are influenced by technological networking whereas inside-out innovation activities are influenced by networking for development of technology and the presence in industrial cluster. This means that the government needs to establish industrial clusters and try to expand technological networking to facilitate open innovation activities.

• Journal of the Korean Operations Research and Management Science Society
• /
• 제40권1호
• /
• pp.5-19
• /
• 2015

Literatures on open innovation have two major limitations. First, either on a firm level or on an industry level did they analyze the open innovation issues. The results of a firm's innovation can be diffused through the whole network and the firm can learn back from the network knowledge. Prior literatures did not consider the feedback loop among firms and network in which the firms are involved. Second, most open innovation research had a static perspective on firm's innovation performance. Since the diffusion, spill-over and learning among network members are involved over time, the open innovation is intrinsically dynamic. From the dynamic perspective, we can appreciate the fundamental attributes of the open innovation network which involves diverse firms, research institutes, and universities. In order to overcome the limitations, we suggest a dynamic model for open innovation network. We build an agent-based model which consists of heterogeneous firms. The firms are connected through a scale-free network which is formed by preferential attachment. Through the diverse scenario of simulation, we collect massive data on the firm level and analyze them both on firm and industry level. From the analysis, we found that, on industry level, the overall performance of open innovation increases as the internal research capability, absorptive capacity, and learning curve coefficient increase. Noticeably, as the deprecation rate of knowledge increases, the variability of knowledge increases. From the firm level analysis, we found that the industry-level variables had a significant effect on the firm's innovation performance lasting through all the time, whereas the firm-level variables had only on the early phase of innovation.

• Knowledge Management Research
• /
• 제13권2호
• /
• pp.73-93
• /
• 2012

Although a wide range of theoretical researches have emphasized on the importance of knowledge management in cooperative R&D network, the empirical researches to synthetically examine the role of organizational learning and open innovation which influence on the performance of technological innovation are not enough to meet academic and practical demands. This study is to investigate the effect of open innovation and organizational learning in venture business on technological competitive advantage and establish the mediating role of organizational learning. For the purpose, the questionnaires, made based on the reviewing previous researches, were collected from 274 Korean venture businesses whose managerial focus is on developing technological innovation. As a result of analysis, the relational dimensions of open innovation - network, intensity and trust shared by a firm with external R&D partners - as well as the internal organizational learning system and competence have positive influence on building technological competitive advantage whose sub-variables are technological excellence, market growth potential and business feasibility. In addition, it is identified that organizational learning has the mediating and moderating effect in the relationship between open innovation and technological competitive advantage. These results imply that open innovation complements and expend the range of limited resources and the scope of innovation in technology-intensive small and medium-sized enterprises. Besides, organizational learning activity reinforces the use of knowledge and resources, obtained from external R&D partners. On the basis of these results, detailed issues and discussion were made in the conclusion.

• Asian Journal of Innovation and Policy
• /
• 제2권2호
• /
• pp.212-239
• /
• 2013

This paper clarifies the change in international technology standardization as a change in innovation. The change comes to be shown in how to take the consensus standard. The tendency to standardize the systematized concept is a rather arduous and complex endeavor. This paper focuses on Mitsubishi Electric Corporation as such a case. The results interpreted from the approach of closed innovation, open innovation, and social innovation. The following findings are clarified by. 1) The consensus standardization is open innovation in which the enterprise creates value. 2) When the value creation is large, the possibility of the maximization of such value capture that achieves the earnings acquisition can be improved. 3. The innovation of the consensus standardization is reciprocal for the stakeholder. The possibility for open and social innovation to supplement the success in innovation mutual and to achieve an effect is suggested.

• Journal of Korea Technology Innovation Society
• /
• 제12권2호
• /
• pp.312-334
• /
• 2009

Advanced countries including OECD member countries focus on the Open Innovation strategy to strengthen their national science and technology innovation capability and to promote the utilization of its outcome. Numerous relevant researches are proceeded in these days, however, just few researches exist in the defense science and technology innovation fields. Therefore, the paper tries to apply Open Innovation concept to the national defense science and technology fields based on the change of defense environments and its problems. For this reason, the paper also presents the theoretical framework of defense Open Innovation and future directions for the purpose of strengthening the national defense science and technology innovation capability and expanding its outcomes.

• Korean Management Science Review
• /
• 제32권4호
• /
• pp.175-192
• /
• 2015

Due to the emergence of open innovation driven by development of network service technologies and convergence in ICT service industry, It is necessary for ICT service firms to examine their capabilities for open innovation. The purpose of this paper is to empirically examine determinants affecting open innovation in Korean ICT service industry. In order to analyze, this paper uses logistic and multiple regression models based on survey data of Korean ICT service firms. Estimation results show that external network for collaboration is positive on the technological innovation activity regardless of the innovation type. Specifically, user networks are significant in all types of technology innovation, revealing that it is important to innovation activities of the ICT service firms.

• Asia pacific journal of information systems
• /
• 제29권4호
• /
• pp.690-716
• /
• 2019

Open innovation has attracted significant attention from both academics and practitioners. However, theoretical and empirical researchers disagree on how open innovation improves firm performance. The inconsistent results reported in the literature may be attributed to the fact that they failed to provide an integrative view of how to make use of internal and external knowledge to enhance innovation performance. Furthermore, although the adoption value of innovation approaches varies depending on firm size and IT capabilities, their impacts have not been adequately taken into consideration. Drawing on complementarity theory, this study revisits the research problem and develops eight hypotheses. Surveys collected from 339 Korean firms were analyzed to test the hypotheses using the supermodularity functions. The results indicated that an internal knowledge-oriented innovation approach has a positive impact on innovation performance regardless of firm size. However, an external knowledge-oriented innovation approach has a positive effect on innovation performance in large firms while having no significant effect on innovation performance of SMEs. Results also confirmed a complementary relationship between internal and external knowledge-oriented innovation approaches in large firms, whereas substitutable relationships were confirmed in SMEs. This study sheds new light on open innovation by identifying the role of different types of innovation approaches, firm size, and IT capabilities.