• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.312-334
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• 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.

• Journal of Technology Innovation
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• v.24 no.1
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• pp.25-48
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• 2016

With the drastic changes toward open innovation, there have been many studies focusing on analyzing the characteristics of open innovation and fostering the open innovation. The most prominent research in open innovation literature is related to the partner selection. In partner selection process, what is important is to identify the expected performance when conducting open innovation with this partner. Therefore, this study suggests an integrative framework of BSC-AHP to support the effective partner selection. The aim of this study is to select the most desirable partner which maximize the performance of the firm after conducing open innovation. This paper employs BSC framework to prepare and characterize relevant decision criteria for the partner selection, and employs AHP to evaluate the partner alternatives under the prepared decision criteria.

• Journal of Information Management
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• v.41 no.2
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• pp.47-69
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• 2010

Open innovation is a phenomenon that has been widely accepted by both practice and theory over the last few years. On the contrary, partner relationships have attracted little attention while the open innovation could not be emerged without the link to partners. This paper identifies and evaluates a framework for the partner relationships and open innovation processes. Based on the literatures regarding open innovation and partner relationships, we propose the framework of matrix type. We present results based on 352 open innovation cases reported during 2002-2009, and each case is classified into 5 different categories of the framework. JV-C(Joint Venture relationship & Coupled process) archetype has dominated the cases with 178 cases(50.6%) where JV-O(Joint Venture relationship & Outside-In process) follows JV-C with 124 cases(35.2%). No significant change has been found in the number of cases after 2003 when open innovation firstly suggested. However, the number sharply increases in 2009 by boom in JV-C and JV-O. These results show the importance of partner relationships and preference toward Joint Venture relationship in open innovation, while the conventional approaches has just focused on value-chain partnership. We find remarkable collaboration cases contributed by universities and government invested research centers, so the role of non-profit R&D organizations has also been discussed.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.14-21
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• 2023

Recent information and communication technologies have already opened up new prospects for technology groups, especially in a knowledge-based society. A contemporary technological era, which can be stated as the hyper-connective Internet of Things surpassed the traditional service pattern and innovation pattern by conveying personalized, localized, and con-text-aware services close to different actors and users. The conventional boundary of the organization is disbanding as well as traditional innovation and research & development limits. This research article conducts a preliminary study about the hyper-connective Internet of Things technology portent with innovation 3.0 version based on an extended technological organization environment framework (E-TOEF). This article discusses the emergence of innovation 3.0 as a paradigm shift from a manufacturing paradigm to an actor-oriented paradigm. There is a need to shift from a manufacturing mindset to more user ergonomics and be aware of the potential of hyper-connective IoT on the revolution of innovation patterns to be more cooperative, open, and user-centered. Besides, this article would strain some conceptual approaches for the next-generation innovation paradigm known as "hyper-connective IoT" entitled innovation 3.0. This new innovation version goes beyond open innovation and undeniably clearly beyond closed innovation which was an earlier version.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.316-329
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• 2021

This study explores the role of the think tank as an intermediary organization in the open innovation system. Think tank has contributed to the policy process as a mediator between government and public and as a symbolic entity of intellectual innovation to produce knowledge to the public. As the innovation system matures, one of the major challenges in research and practice is the openness and collaboration in the science, technology, and innovation system. While previous literature highlighted the think tank as the knowledge arbitrager transforming ideas into policy issues, few studies address the research questions: Is the conventional role of the think tank still persistent in the open innovation system? What are the demanding roles? This paper tackles these questions by reviewing the current role of the South Korean think tank in the science & technology sector. Based on the open innovation framework, we suggest that think tanks need to play a bigger role as policy entrepreneurs, crossing policy borders and interacting with other partners.

• STI Policy Review
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• v.4 no.1
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• pp.74-93
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• 2013

Although open innovation (OI) has been an important research theme for over a decade, its theoretical framework has been relatively under-researched. As OI involves a wide range of innovation activities, a firm's capacities in the use of the various firm resources play a critical role in OI implementation. However, it is unclear how they affect firms' performances for little is known of OI capacities. Based on a theoretical framework derived from the literature, this study looks into the relationships between six OI capacities (inventive, absorptive, transformative, connective, innovative, and desorptive) and financial performance using the Korean Innovation Survey (KIS) 2008 data. The research model was tested using structural equation modelling (SEM) while potential differences in capacities between different firm groups were also investigated. The results indicate that 1) OI capacities are significantly associated with firms' financial performance; 2) capacities are highly correlated with one another; and 3) some capacities are differently configured between different types of firms. Findings suggest that policy makers should pay more attention to helping firms enhance OI capacities and attempt to develop relevant policies in order to complement inadequate capacities.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.431-465
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• 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 Korea Society of Industrial Information Systems
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• v.27 no.3
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• pp.145-164
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• 2022

In this study, factors necessary for successful industry-university cooperation of SMEs(small and medium-sized enterprises) were identified. The structure of the TOE (Technology, Organization, Environment) framework was considered for a company's industry-university cooperation preparation capacity, and open innovation collaboration and resilience were utilized as a mediating effect between industry-university cooperation preparation capacity and corporate performance. This study verified the model through a structured questionnaire targeting 204 SMEs with industry-university cooperation experience. As a result, it was confirmed that it was important for companies to make diversified efforts by accommodating industry-university cooperation to obtain results from industry-university cooperation.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.345-353
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• 2022

The purpose of this study is to identify the types for open innovation of SMEs considering strategic- culture mixed typology and environmental dynamism. The analysis results of 182 SMEs classified into 4 groups are as follows. First, type PD had a positive effect on innovation performance in both in-bound and out-bound innovation and had improved performance through in-bound innovation in a dynamic technical environment. While DH had no significant effect on both innovations. Second, PH and DD, strategy-culture mismatched types, had a single effect of innovation that affected performance. No moderating effects of environmental dynamism had been shown in types PH, DD, DH. SMEs that aim for open innovation should strive to improve performance by aligning change-oriented strategy with creative and challenging culture.

• World Technopolis Review
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• v.7 no.2
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• pp.113-124
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• 2018

Since the term smart city was coined, theories and practices of smart cities have flourished. Regarding the theoretical aspect, user-driven innovation has been discussed in studies on the innovation ecosystems of smart cities. Smart cities have been built in various countries around the world in recent years, including in Japan, which has experienced the same global trends in smart cities since 2010. Four smart community projects run by the Agency for Natural Resources and Energy between 2010 and 2014 followed such trends. The present study addressed user-driven innovation using the quadruple helix model as an analytical framework for the four smart community projects, and the outcomes of the projects were evaluated. In conclusion, the smart community projects were evaluated as successful. However, it was revealed that these projects were not completely conducive to user-driven innovation.