• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.33-37
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• 2019

공공기술을 활용한 스케일업(Scale-up)이 기업의 새로운 성장 전략으로 주목받고 있다. 스케일업의 사전적 의미는 '규모 확대'다. 기술, 제품, 서비스, 경영 등 기업의 외형과 내실이 크게 개선되거나 그에 상응하는 성과 창출의 뜻이 담겨있다. 기업가치 10억 달러($1 billion) 이상, 설립된 지 10년 이하로 통칭되는 유니콘(Unicorn) 기업의 등장이 스케일업에 대한 관심으로 옮겨 붙은 양상이다. 스케일업은 이러한 차원에서 고성장 기업을 통칭하는 말로 쓰인다. 국가별로 차이는 있지만 직원 수 10명 이상, 최근 3년간 매출이나 연평균 고용 성장률이 20% 이상인 기업을 스케일업으로 정의한다. 문제는 미국과 같은 선진기업 환경에서는 핵심 기술이나 신성장 동력 확보차원에서 다양한 기업인수합병(M&A)이 추진되거나 오픈 이노베이션(Open Innovation, 개방형 혁신) 방식의 기업간 기술협력이 활발히 일어나고 있지만 우리나라는 상대적으로 그러하지 못하다는데 있다. 결과적으로 국내 기업 환경과 사회적 분위기를 감안해 공공연구기관으로부터 기술을 이전받거나 연구개발특구진흥재단이 추진하는 연구소기업 제도를 활용한 스케일업의 중요성이 커지고 있다. 4차산업 시대를 맞아 기업간 합종연횡이 더욱 빈번하고 일어나고 기술간 융복합이 가속화되는 지금의 상황에 비춰볼 때 공공기술을 활용한 연구소기업들의 다양한 스케일업 사례는 우리에게 많은 시사점을 안겨준다. 기업성장을 위한 새로운 전략적 도구로 활용될 소지가 충분하다고 판단된다.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.85-113
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• 2013

This study analyzes the government-funded research institutions as players which derive inner transition based on technology, policy and market environment changes. In this study, the main case is KRICT(Korea Research Institute of Chemical Technology) which tries to make post catch-up innovation in the organization. This institution has attempted to overcome the limitation such as change of technology paradigm and PBS(Project Based System) since 2000's. Responding to the needs of technology convergence and innovation by the paradigm change, KRICT has reformed organization and R&D management system prospectively. And this institution sets the goal like development of natural friendly technologies, small and medium-sized business support, and providing countermeasures of social problems. This case shows possibility of continuous innovation. There are some structural limitation like budget restriction, multiple organization structure, and biased quantitative assessment, but endogenous efforts of government -funded institutions make the new paradigm of post catch-up innovation.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.21-56
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• 2016

Despite many previous studies on catch-up, understanding on the effect of product architecture developed by latecomers on the catch-up performance remains limited. On the other hands, in contrast to the semiconductor, ship building, and automotive industry, even if Korean industry and government have invested the development of numerical controllers for machine tools in the past four decades, the industry and government have failed to achieve catch-up. Therefore, we newly examine the effect of product architecture on the catch-up performance of the Korea by implementing comparative research with periods on the evolution of product architecture of Fanuc's numerical controllers, which have achieved the largest market share in the world. We found that Fanuc developed open modular architecture based numerical controllers and provided product with customization of user requirements as well as cost effectiveness. Consequently, Fanuc has sustained market leader position since the mid-1980s. However, despite all the efforts of the industry and government, we found that the Korea failed to develop open modular architecture based numerical controllers and could not achieve significant catch-up performance. Our findings provide important theoretical backgrounds for examining the catch-up performance as well as investigating the reason why latecomers failed to achieve market catch-up even if they accomplished technological catch-up.

• 월간 기계설비
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• s.45
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• pp.45-54
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• 1994

건설산업은 국민경제에서 차지하는 비중이 높으며, 향후 지속적으로 대상영역이 확대되고 기능 및 규모가 커질 전망이다. 우리나라 건설기술의 현위치는 선진국 수준을 100을 할때 70정도에 불과하며, 발전속도의 관점에서 국내 제조업에 비해서도 저조한 실정이다. 이는 정부의 기술개발사업에서 건설기술 개발 필요성에 대한 인식의 부족으로 과학 및 산업기술의 개발 필요성에 대한 인식의 부족으로 과학 및 산업기술의 분류에서 독자적인 항목으로 설정되지 않고 있으며, 적절한 예산지원이 이루어지지 않고 있다는 데 문제의 원인이 있다. 민간부분의 경우는 매출액 대비 기술개발비용이 일본과 비슷한 비율이지만, 매출액 규모를 고려해 볼 때, 부가가치 창출 효과를 논하기는 이른 실정이다. 한편, 건설산업의 성격 역시 자본절약형으로 선진국에 비해 장비수준 및 자본생산성이 떨어지고 있어, 기술수준의 낙후를 시사하고 있다. 앞으로 국제화, 개방화, 지방화의 시대가 도래할 것이고, 자유경쟁원리에 토대를 둔 경영효율, 기술혁신, 품질 등에 의해 경쟁력의 우위가 결정될 것이다. 향후, 건설기술정책은 건설기술개발의 체계화, 신기술 활용의 극대화, 건설산업의 종합화 및 전문화, 생산체계의 효율화 등을 지향해야 한다.

• Journal of the Korean Society for Railway
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• v.14 no.3
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• pp.300-311
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• 2011

In this study, the differences of labor-management cooperation and corporation performance resulted from integrated human resource management types is investigated for 12 urban railroad corporations and then the effect of labormanagement cooperation on the corporation performance is also verified. The results show that the labor-management cooperation and the corporation performance of "closed immersion type" and "opened flexibility type" integrated human resource managements are higher than those of "conservative management type" and "poor management type" integrated human resource managements. As a result of the effect of labor-management cooperation on the corporation performance, it is revealed that "individual cooperation" affects all the corporation performances such as train operation stability, customer's satisfaction, management innovation, self-supporting management, and job satisfaction, whereas "collective cooperation" affects only two coporation performances, management innovation and job satisfaction.

• Knowledge Management Research
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• v.18 no.4
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• pp.287-306
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• 2017

This research focus on the effect of developers' participation structure in knowledge creation and knowledge sharing activities in open source software development projects. Based on preferential selection theory, hypotheses of relationship between a developers' concentration of knowledge creation/sharing activities and collaboration performance was derived. To verify the hypotheses, we use the Gini coefficient in the commit contribution of the developers (knowledge creation) and the centralization index in the repository issue network (knowledge sharing network). Using social network analysis, this paper calculates centralization index from developers in the issue boards in each repository based on data from 837 repositories in GitHub, a leading open source software development platform. As a result, instead of all developers creating and sharing knowledge equally, only a few of developers creating and sharing knowledge intensively further improve the performance of the open collaboration. In other words, a few developers predominantly providing commit and actively responding to issues raised from other developers enhance the project performance. The results of this study are expected to be used by developers who manage open source software project as a governance strategy, which could improve the performance of open collaboration.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.5-19
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• 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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.56-63
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• 2015

Recently, companies and organizations are becoming increasingly dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the paradigm 'Open Innovation (OI)' which is reported as a convincing strategy to improve competitive advantage in terms of budget and time-to-market. The management of Incheon International Airport Corporation (IIAC) also considers the introduction of Open Innovation not only to adapt the business environmental changes but also to be devoted its social role as a public corporation. In this paper, we describe how we derived the promotion tasks for the introduction of OI and prioritized the tasks, performing our research on the IIAC Open Innovation. For these purposes, this research conducted the following three steps; the first stage for the analysis of current situation on the IIAC Open Innovation, the second stage for the elicitation of promotion tasks, and the last stage for the prioritization of the promotion tasks. In the first stage, critical success factors (CSFs) for open innovation introduction were derived from different research papers and case studies. In the following stage, promotion tasks were elicited from the IIAC based on the CSFs. In the last stage, the promotion tasks were evaluated on the base of criteria by using Analytic Hierarchy Process (AHP). And then the promotion tasks were grouped by the result of the evaluation. In this case, thirteen promotion tasks were derived for open innovation, ten promotion tasks except three inevitable promotion tasks were evaluated, and then they were grouped into four categories based on the importance-possibility analysis.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.107-143
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• 2017

This study aims to understand the impact of internal and external environments and innovation efforts on a company's performance. First, the relationships and patterns between variables were determined through an exploratory factor analysis. Afterwards, a cluster analysis was conducted, in which the influential factors summarized in the factor analysis were classified. Finally, structural equation modeling was used to carry out an empirical analysis of the structural relationship between innovation efforts and the company's performance in the classified clusters. 7 factors were derived from the exploratory factor analysis of 40 input variables from external and internal environments. 4 clusters (n=1,022) were formed based on the 7 factors. Empirical analysis of the 4 clusters using structural equation modelling showed the following: Only independent technology development had a positive impact on the company's performance for Cluster 1, which is characterized by sensitivity to a technological/competitive environment and innovativeness. Only independent technology development and joint research had positive impacts on the company's performance for Cluster 2, which is characterized by sensitivity to a market environment and internal orientation. Joint research and the mediating variable of government support program utilization had positive impacts, while the introduction of technology had a negative impact on the company's performance for Cluster 3, which is characterized by sensitivity to a competitive environment, innovativeness, and willingness to cooperate with the government and related institutions. Independent technology development as well as the mediating variables of network utilization and government support program utilization had positive impacts on the company's performance for Cluster 4, which is characterized by openness and external cooperation.