• Informatization Policy
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• v.24 no.3
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• pp.42-66
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• 2017

This study investigated the ecological change of public software industry, comparing the pre and post structure of industry network based on the application of the regulation restricting large company participation in public software market. For this purpose, we used big data of the software market from Korea Public Procurement Service and used the SNA(Social Network Analysis) methodology which is being actively used in the area of social science recently. Finally, we highlighted the contribution of open public data. By analyzing order and contract data of the public software industry for 3 years - from 2013 to 2015 - we found out two main things. First, we observed that Power Law distribution had been going on in the public software industry, regardless of the external impact of regulation. Second, despite the existence of such Power Law distribution, we also observed the ecological change of industry structure from year to year. We presented the implication of such findings and discussed the advantage of open public data as the original motivator of this study.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.511-522
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• 2020

The purpose of this thesis is to derive a strategy to establish an ecosystem for promoting health my data projects in the public domain. To this end, first, the types of my data business were classified by business domain, subject, purpose, and method, and based on this, my data business being promoted in Korea and abroad was analyzed by type. After that, based on the analysis results, scenarios for my data projects that public domain can promote and the roles and major issues of each subject were identified, and the strategic direction for each subject of the ecosystem was presented. Such an attempt is of primary significance in revealing the role that the health MyData project can take the lead in the public domain to settle in Korea targeting sensitive information. Through this, it is expected that it will be a cornerstone of discussion to identify issues that are expected to establish an ecosystem in Korea, and to present a direction in which the my data business can be promoted in the right direction in the future.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.373-381
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• 2017

As the viewpoint of data evolves from business resources to value resources, the focus on the data processing is rapidly shifting from the cartesian (alphanumeric) to the contextual. In response to this trend, the government is actively promoting the utilization of public data by the private sectors. With a focus on the fact that the mainstream of public data users is the crowds, this study, therefore, seeks to identify differences between the members and the crowds from information processing view, followed by presenting directions and main points for the design of data platform. This study is perhaps to be a starting point for finding practical alternatives for creating 'collective intelligence ecosystem' and to be a basis for building a big data base in response to the opening of public data.

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.769-777
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• 2014

Recently many countries have established open government data platforms to disclose government or government controlled entities-owned data that can be freely used, reused and redistributed by anyone. Open government data can help you to make better decisions in your own life, or enable you to be more active in society. Open data is also making government more effective and transparent, which ultimately also reduces costs. This paper explains the open data concepts and circumstances in Korea, and also suggests detailed invigorating strategies such as data quality policy, data unification and standardization policy, open data service platform, and integrated support plan of big data and open government data.

• Electronics and Telecommunications Trends
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• v.31 no.2
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• pp.51-62
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• 2016

인공지능(Artificial Intelligence: AI)이 사물인터넷, 빅데이터, 엄청나게 빠른 컴퓨팅 파워와 결합하고 있다. 이에 따라 인공지능이 인간과 같은 수준의 인지능력을 갖추게 되어 가까운 장래에 개인비서 기능뿐만 아니라 기업의 의사결정이나 고객관리를 비롯한 모든 비즈니스 부문에서 큰 역할을 할 것으로 기대된다. 해외의 주요 기술업체들은 AI를 핵심 R&D 분야로 삼고 각기 Application Programming Interface(APIs) 및 클라우드 서비스를 통한 인공지능 기술의 대중화에 힘쓰고 있으며, 개발자들은 이들 도구를 각자의 애플리케이션에 통합함으로써 수익기회를 창출하고 있다. 국내에서도 대기업 및 공공 R&D를 중심으로 인공지능 기술개발이 추진되고 있으나 관련 시장참여자 전체를 견인할 수 있는 기본 생태계 조성을 위한 정부의 지원이 필요한 상황이다. 본 연구는 인공지능 시장동향과 IBM 인공지능 생태계에 대해 개관하였으며, AI 산업체 의견을 반영한 국내 인공지능 산업 활성화 생태계 조성을 위한 제언으로 AI 플랫폼 지원, 인력문제 해결 그리고 공유의 장 마련이 필요하다는 점을 제시하였다.

• Informatization Policy
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• v.24 no.3
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• pp.27-41
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• 2017

With the growing interest in the 4th industrial revolution and big data, various policies are being developed for facilitating the use of public open big data, which are leading to a wide range of added values created from use of such data. Despite the expanded requirements for public data disclosure and the legal system improvement, however, the use of public open big data is still limited. According to the literature review, there are studies on policy proposals for the government guiding directions for public open big data, but there is a lack of studies that handle the issue from the users' viewpoint. Therefore, this study aims to analyze the public open data ecosystem in Korea and to analyze public open big data through interviews with the providers (the government and public institutions) and users (private sector companies and citizens). This way, the study finds inhibition factors and facilitation factors, draws out issues and suggests solutions through a causal relationship analysis between each factor. Being a research on finding measures for facilitating both public big data release and use, this study has theoretical implications. In the meanwhile, the derived issues and alternatives provide practical implications also for stakeholders who are planning to facilitate release and use of public open big data.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1075-1084
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• 2023

Satellite-derived data is collected by observing the Earth and is used in various fields such as national defense, natural disasters, location-based services, infrastructure, environment, energy, marine, and insurance. This study aims to present the virtuous cycle structure of the satellite information data industry and the business ecosystem model of the industry. As a research method, cases were collected and categorized from the following areas: literature, online, application, and content. The results show that the ecosystem model of the satellite information data industry provides an approach to content services in public and commercial areas, and develops various algorithmic technologies to facilitate content production and services at the level of complex general-purpose technologies. Second, in terms of content typology, satellite information data can be subdivided into monitoring content, urban space monitoring content, and satellite information content. Third, the consumption value of satellite content could be subdivided into informational value, environmental, social and governance (ESG) value, educational value, and content value. In order to expand the global content market, Korea will need to focus on creating an ecosystem for the satellite information industry and discovering differentiated content. It will also need to increase the popularization and accessibility of data to the general public and promote the Korean K-Satellite Information Data Industry ecosystem through government support, policy efforts, and policies such as establishing legal systems, increasing investment, and training human resources.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.125-138
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• 2016

Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and climate big data specialist who meet the needs of government, public agencies and corporate, are required. Meteorology and climate big data requires high-value usable service in variety fields, and it should be provided personalized service of industry-specific type for the service extension and new content development. To provide personalized service, it is essential to build the collaboration ecosystem at the national level. Building the collaboration ecosystem environment, convergence of marine policy and climate policy, convergence of oceanography and meteorology and convergence of R&D basic research and applied research are required. Since then, demand analysis, production sharing information, unification are able to build the collaboration ecosystem.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.153-155
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• 2019

최근 국내 외를 불문하고 IT기술의 비약적인 발전에 따라 금융분야에서도 금융과 기술이 결합된 새로운 형태의 금융서비스가 다양하게 개발되고 있다. 그러나, 개인금융시장의 비약적 발전에도 불구하고, 기업금융시장에서의 핀테크 활용은 아직까지 미미한 실정이다. 기업 신용평가는 재무제표 위주의 정태적(static) 과거 정보 위주로 이루어지고 있어 업력이 짧고 규모가 영세한 중소기업의 금융접근에 제약이 존재한다. 또한, 중소기업의 인력이 부족한 상황에서 모든 거래를 일일이 금융기관을 방문하여 처리해야 하는 불편함도 애로사항으로 파악되었다. 이러한 한계를 해소하기 위해 신용보증기금은 빅데이터 활용과 비대면 채널에 주목하였다. 본 보고서는 신용보증기금이 빅데이터와 비대면 채널을 활용하여 중소기업의 금융접근성을 향상시킨 사례에 대하여 소개하고자 한다. 첫 번째로, 신보는 기존에 활용되지 못한 동태적(dynamic) 빅데이터를 활용하여 기업의 현재 새로운 신용평가모형을 개발하였다. 두 번째로, 신보는 중소기업의 금융거래 편의성 향상을 위해 비대면 금융업무 플랫폼을 도입하였다. 신보는 이를, 데이터 수집이 체계적이고 정교해야 하며, 중소기업 관련 데이터가 공유되어야 한다는 정책적 시사점을 발견하였다. 이러한 정책적 시사점을 바탕으로 신보는 이제 기업 데이터 뱅크(Data Bank)로서의 역할을 도모하고 있으며, 더 나은 기업정보 생태계를 구현하고자 한다. 이를 통해 신보의 신기술을 활용한 중소기업 금융접근성 제고 사례가 핀테크를 활용한 공공기관의 금융정책 수립에 유용한 사례가 될 수 있을 것으로 기대한다.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.144-158
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• 2023

R&D (Research and Development) investment by companies and the government continues to increase, and the total R&D expenditure of public and private sectors in 2021 reached KRW 102 trillion, and the ratio of R&D investment to GDP was 4.96%. It ranks second in the world after Israel. This study analyzes the current status of the domestic R&D service industry and the research and development (R&D) innovation ecosystem based on the business activity survey data of the National Statistical Office in terms of improving R&D productivity of domestic R&D investment that has exceeded 100 trillion won, and analyzes the global R&D service industry and analyzes the global research service industry and R&D service Industry support government policy As a result of the analysis, in the domestic R&D ecosystem, the R&D outsourcing demand of service companies is rapidly increasing, compared to the stagnant R&D outsourcing demand of traditional manufacturing companies. In order to respond to these changing demands for technological innovation, this study suggests balanced support for R&D outsourcing for manufacturing and service companies, expansion of domestic R&D outsourcing, establishment of R&D outsourcing strategies specialized for the service industry, establishment of an open R&D ecosystem, and innovation in connection with materials/parts/equipment strategies.