• STI Policy Review
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• v.5 no.1
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• pp.112-130
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• 2014

Many actors are involved in the development of regional innovation systems (RIS) such as universities, private firms, research institutions, governments, and public agencies. In a country like Korea, where the central government takes more than 95% of the total government R&D budget, the role of regional authorities in science, technology, and innovation are fairly limited, although in recent years some regional governments have tried to promote innovation activity in their localities. This paper looks into the Gyeonggi Institute of Science and Technology Promotion (GSTEP) in Gyeonggi Province and examines its emerging role and achievements in innovation policymaking. It was found out that GSTEP engages in knowledge brokering with the purpose of helping firms participate in regional technological innovation processes. The knowledge brokering roles of this regional authority are described along with their implications for regional innovation policy. This study aims for a deeper understanding of the nature of the regional authority's role in a RIS through the case study of regional actors transitioning from being subordinators to becoming active participants with greater participation on policymaking and implementation.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.08a
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• pp.143-181
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• 2017

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.289-305
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• 2005

• Journal of Technology Innovation
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• v.17 no.1
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• pp.49-67
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• 2009

As technological capabilities have enhanced, the patterns of innovation activities of latecomer firms changed to post catch-up mode. The purpose of this research is to analyze the post catch-up innovation patterns of technology-intensive small and medium firms of Korea. The innovation patterns can be divided into three types: the technology deepening innovation type, the new technology based innovation type and the architectural innovation type. The characteristics of the technology deepening innovation type are cumulative technological learning and the integration of new generic technology and existing technologies. The characteristics of new technology based type are the acquisition and revelations of new basic knowledges from former incubating organizations such as large firms and universities. The characteristics of the architectural innovation type are the learning of system architecture knowledge from former organization and interactive learning with user firms. These post catch up innovations also have some general characteristics. They effectively exploited the windows of opportunities which are opened in the middle of technological paradigm change.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2010.05a
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• pp.184-205
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• 2010

The service industry is drawing economic growth, and the financial service sector among service industry takes major share. So it is needed to increase the productivity and efficiency through the service innovation of making a good process, standardization, automation. But contrary to manufacturing industry, the difficulty to measure the characteristic of productivity, quality and innovation in service sector requires more scientific and systematic method for service innovation. This paper will search for financial service innovation strategy with service science by the case review of KOTEC's technology rating system. The case may infer that strategic technology management capability along with customized financial service infrastructure is important.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.11a
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• pp.59-78
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• 2004

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.126-138
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• 2005

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.144-147
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• 2003

It is important to understand the process of technology diffusion among end users for effectively implementing adoption and coping with frequent changes in the environment. Previous studies indicate that information and communication technology (ICT) adoption is affected by innovation influence such as usefulness, ease of use and self-efficacy. Most of these studies, however, bypassed imitation influence such as subjective norms, word-of-mouth, and advertising, specifically, interactive innovation having critical mass in technology acceptance research. Thus, this study investigates imitation influence in individual adoption of mobile communication technology, more specifically, mobile phones, using Mahaian's diffusion model in individual ICT adoption.

• Asian Journal of Innovation and Policy
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• v.11 no.2
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• pp.222-237
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• 2022

As the COVID-19 pandemic crisis left developing countries with economic setbacks, it is high time to highlight that innovative technologies lead the digital economy. The big powers including the United States and China are already implementing industrial policies that involve large-scale fiscal expenditures to secure the lives and safety of their people. To prepare for the future up to 2025, this paper reflects opinions of industry-academia-research experts regarding changes in the external environment and industry trends. By reflecting results of focus group interviews and changes in the external environment and industry trends, a new high-level 5X strategy (Digital Transformation, Energy Transformation, Bio Health Transformation, Supply Chain Transformation, and Research Transformation) to solve national tasks required for the existing ten policy demand fields and ten agenda during lower-level policy implementation stages were derived.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.151-175
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• 2015

The focus of regional innovation policies is shifting from a central government to local governments. No one denies the fact that the innovation will lead regional development and shall be created in such a way that it will be appropriate for regional circumstances. However, the central government and local governments have not arrived yet at a conclusion on what innovation policies are appropriate for regional circumstances. This leads to a consequence that is inefficient not only at a national level, but also at a regional level. This research, given this problem, aims to find out the characteristics and differences in innovation types among the regions in Korea and suggests appropriate policy implications by classifying such characteristics and differences. This research, given these objectives, classified regions in consideration of the various indicators that comprise the innovation suggested by existing related researches and illustrated policies based on such characteristics and differences. In this research clustering analysis based on multiple factor analysis was applied. Supplementary researches on dynamically analyzing stability in regional innovation types, establishing systematic indicators based on the regional innovation theory, and developing additional indicators are necessary in the future.