• Knowledge Management Research
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• v.11 no.4
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• pp.1-19
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• 2010

With the increasing importance of ecosystem in a business environment, the value of open innovation is receiving great attention. Under open innovation, companies open their knowledge, capital, and other resources to cooperating companies; on the other hand, under closed innovation companies depend solely on their own resources. In this paper, we compare closed and open innovation using the simulation method, and confirm that in terms of total capital and production of the industry, open innovation provides greater opportunities to the entire ecosystem. Moreover, Schumpeterian competition, which is a dynamic of closed innovation, functions even under open innovation. Our findings highlight that not only small but also large companies can receive the benefit of an enlarged industry under open innovation.

• Asian Journal of Innovation and Policy
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• v.2 no.2
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• pp.212-239
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• 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.

• International Commerce and Information Review
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• v.14 no.2
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• pp.201-225
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• 2012

Developing new technologies and launching new products require a huge sum of money for Research and Development, and there is also market uncertainty. Comparing to advanced countries' companies, Korea's exporting companies have less investment cost in size for R&D and insufficient technology assets accumulated. Therefore, through the open innovation, they should use external technology and enhance the efficiency of the relatively little R&D investment. This paper draws the factors influencing the innovations of Korea's exporting companies, and then it analyses how each innovation influences export performance. First, innovations are devided into two; closed and open innovation. Multiple regression analysis has been done, considering influence factors of innovation such as company's characteristics factors, research's characteristics factors and products characteristics factors to be independent variables, and export performance to be a dependent variable. It shows that firm size and new products launching period have positive effects on each innovation, but research capability and research performance have positive effects only on closed innovation. And open innovation has positive effects on export performance, but closed innovation doesn't have.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.411-417
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• 2015

• Korean Management Science Review
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• v.23 no.1
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• pp.87-113
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• 2006

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of the firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on those theories, this paper attempts to identify dynamic relationship between product innovation and process innovation by system dynamics, by investigating the aspect of the dynamic changes of the closed feedback circulation structure in which R&D investments drive technological knowledge accumulation, and such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in the increase of productivity, customer satisfaction, profit generation, and re-investment on R&D from the created profits. This provides the ability to assess the advantages and disadvantages of different technological innovation strategies and commitments, and the opportunity to explore equilibrium point and suggest a generalized technological innovation model under different industry environment parameters and time-strategies.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.123-144
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• 2008

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge. Further, such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in an increase in productivity, customer satisfaction, profit generation, and.

• World Technopolis Review
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• v.4 no.1
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• pp.11-22
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• 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".

• 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.

• Journal of Digital Convergence
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• v.7 no.4
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• pp.67-80
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• 2009

The research tried to realize the policy which serves Innovation ability for culture-contents producer, and culture-contents producer's Innovation ability which impacts OSMU of contents in the policies of government for vitalizations of culture-contents industry. As a result, we have reached the conclusion that the supportive policies for technology, exports and marketing were effective to strengthen the innovation ability of management of human resource, creation and production area. Also we have found that content's OSMU has been influenced by innovation ability. The implication of this study are followed. First, the policies which are intended to revitalize the culture content industry by government has the effect that are some different ones from the settlement and intention. Second, the production industry of animation do still passive and closed organization management, without the efforts for opened and cooperative management. Therefore, the efforts of government which are more practical and realistic supports to revitalize and based on strategic cooperation of industry.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.306-328
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• 2015

A recent trend in innovation paradigm is the shift from closed innovation to open innovation principles. This trend is characterized by the use of purposive inflows and outflows of knowledge not only to accelerate internal innovation, but also to expand the markets for external use of innovation. However, the Not-Invented-Here (NIH), and Not-Sold-Here (NSH) or Only-Use-Here (OUH) syndromes are the most common challenges encountered in open innovation processes. Therefore, this study has the following main aims: 1) propose a research model that explains the factors that influence NIH and NSH/OUH attitudes based on motivation theory with perceived organizational fairness and commitment, 2) investigate their impacts on NIH and NSH/OUH attitudes, and 3) provide useful theoretical and practical insights. The proposed research model was empirically tested using survey data collected from information technology (IT) professionals in Korea. One of the major findings indicates that IT professionals' perceived organizational fairness has a negative effect on NIH attitudes in open innovation process. Theoretical and practical contributions of this study are also discussed.