• Research in Community and Public Health Nursing
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• v.28 no.2
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• pp.129-143
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• 2017

Purpose: The purpose of this study is to explore factors which influence adoption, implementation and continued use of tele-healthcare systems. Methods: Qualitative research was conducted by in-depth interviews with 17 professionals from various fields of organizations involved in developing and implementing tele-healthcare systems. Data were analysed thematically, using a conceptual model of diffusion of innovations. Results: The system users were reacted positively to the 3 attributes out of 9 which decided the adoption of innovation. In addition, it is required to redesign the tele-health care system simpler and easier so that the system users can access to the system much more easily regardless of space and time limitations. From the design stage on an individual level, it is necessary to conduct detailed needs analysis and listen to users who are at the center of innovation diffusion. On an organizational level, it is necessary to actively prepare for possible problems during system implementation, educate the users and build communication channels continuously. Conclusion: This study has identified the factors affecting the innovation of tele-health care systems and contributed to the understanding of the operation of tele-health care systems by the diffusion of innovation theory in community health posts.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.156-175
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• 2013

This study examines the approach of socio-technical systems and strategic niche management. It reviews the characteristics of that approach such as multi-level perspectives, the views on technology, and policy orientation. It applies the approach to the long-term vision making in science and technological innovation, socio-technical planning, participatory R&D, and science communication in Innovation policy areas and suggests some policy implications.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.690-716
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• 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.

• World Technopolis Review
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• v.5 no.1
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.135-167
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• 2002

This research focuses on the IS development methodology as an object of innovation in an IS organization. It has two main research objectives. It was intended to understand the critical affecting factors which have an effect on the processing of each level in the dynamic and evolving innovation process. There are two levels of innovation process: initiation and implementation. It was also intended to understand the performance of IS organizational innovation. We found three main results by the LISREL analysis. First, main factors affecting initiation level of innovation are innovative tendency of IS members, communication level of IS organization, existence of champion manager, IS performance gap, executive supporting to IS, and relative advantage of IS development methodology. At the implementation level, it was understood that the existence of champion manager, executive support, and relative advantage of IS development methodology were the main factors promoting to use the innovation, and the complexity of innovation was a negative factor adopting the usage of innovation. Second, the quality of the previous level in the gradual innovation activities gives very notable affection to the continuous next level. Finally, it was found that the qualitative performance like the documentation, collaborative team approach, IS developer's awareness and ability corresponding to their task and so on was improved due to the IS organizational innovation. This research provides the standard framework for the IS organizational innovation in a structural way. In the practical aspect, it may be used as the principle for introducing and using the IS development methodology.

• Industrial Engineering and Management Systems
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• v.12 no.1
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• pp.63-72
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• 2013

The aim of this paper is to analyse the impacts of R&D cooperation and obstacles to technological innovation on the innovation failure of the Korean manufacturing firms. Two hierarchical regression models including interaction variables are employed for the analysis. Some interesting findings are: first, almost all the obstacles have positive and significant effects on the failure. Second, R&D cooperation positively or negatively moderates the impact of obstacles to technological innovation on the innovation failure, although R&D cooperation itself is not directly related to the failure. Third, the interaction effects between the cooperation and the obstacles influence the failure in various manners. This study is expected to help manufacturing firms which are under unfavourable environments to formulate their cooperation strategies successfully based on what they learn from the failure.

• STI Policy Review
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• v.5 no.1
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• pp.1-33
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• 2014

Despite a commonly held belief that standards obstruct innovation, recent research shows that they can actually play critical roles in supporting various activities of technological innovation. Thus, providing an innovation-friendly environment through standardization has been gaining much attention in recent years; however, there is as yet limited understanding, due to complex dynamics and high uncertainties associated with innovation, as well as a variety of different types and functions of standards with various stakeholders involved. The problem becomes even more challenging for standardization in highly complex systems, such as Information and Communication Technology (ICT) systems, where a large number of domains and components are involved, along with various types of stakeholders. In order to deal with such complexity and variations, a systematic approach of standardization roadmapping has been used in many technology-leading countries as a strategic policy tool for supporting effective management of standardization. Despite its wide adoption, the current understanding of standardization roadmapping is somewhat limited, leaving significant challenges for policymakers and standards organizations in terms of how to structure and manage roadmapping exercises, and how the government should get involved. In this regard, the current research explores existing standardization roadmaps in various contexts related to ICT systems (ICT in Korea, Smart Grid in the US, and electromobility in Germany), as there is a particular need for systematic development of strategies for such complex systems of ICT. Focusing on various aspects of standardization roadmapping exercises such as their structures, processes, and participants, their common features and key characteristics are identified. Comparing these roadmaps also reveal distinct differences between standardization roadmapping approaches adopted by different countries in different contexts. Based on lessons learnt from existing practices, the study finally provides insight for the Korean ICT standards community on the ways in which their standardization roadmapping approach can be improved to support anticipatory management of standardization activities more effectively. It is expected that the current research can not only provide increased understanding of standardization roadmaps, but also help policymakers and standards organizations to develop more effective strategies for supporting innovation through the systematic management of standardization.

• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.136-157
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• 2003

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.861-882
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• 2013

This study analyses interorganizational innovation networks empirically in the Korean biotechnology industry, based on systems of innovation approach. Empirical findings of this study are as follows. Innovation networks have not been well developed in the Korean biotechnology industry. Main agents who participate in innovation networks are workers at venture firms, university professors, researchers at government-sponsored research institutions. They all recognize the positive effects of innovation networks. The enhancement of participation willingness and competency of agents, the enrichment of trust and control among agents, and the effective acquisition of the useful technology and resources in innovation networks will largely contribute to development of innovation networks in the Korean biotechnology industry.

• STI Policy Review
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• v.5 no.2
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• pp.1-19
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• 2014

The concept of a holistic innovation policy is defined in this article, with discussions of what it is, why it is relevant, and how it can be implemented to enhance product innovation. It is shown that the innovation systems approach has diffused rapidly during the latest decades and has completely replaced the linear view in the field of innovation research. The majority of European countries are striving in the direction of developing a more holistic innovation policy. However, it is concluded that the innovation policies in European countries are still dominantly linear despite the fact that holistic policy seems to be the driving vision. Innovation policy is behindhand. Why innovation policy is still linear is also preliminarily discussed. Policymakers attending conferences on innovation are practically always in favor of holistic (systemic, broad-based, comprehensive, etc) innovation policies, have abandoned the linear view by learning from innovation research. The division between "linear" and "holistic" seems to be located within the community where innovation policies are designed and implemented, a community composed of policymakers (administrators/bureaucrats) and elected politicians. Perhaps the dividing line is between these two groups in that politicians, who actually make the decisions, may still reflexively believe in the linear view. Nevertheless, there seems to be a failure in communication between researchers and politicians in the field of innovation and there is therefore a strong need to involve innovation researchers in policy design and implementation to a much higher degree. Another way to increase the degree of holism could be to separate innovation policy from research policy, since their integration tends to cement the linear character of innovation policy. The empirical results are based on a questionnaire sent to twenty-three EU Member States, out of which nineteen (83%) responded. Part of the work for this article was carried out for the European Research and Innovation Area Committee (ERAC) of the European Commission (DG RTD).