• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.961-963
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• 2022

데이터 기반 경제가 활성화되면서 데이터의 분석과 활용에 중점을 둔 서비스가 증가하는 추세이다. 금융 분야에서만 활용되던 마이데이터를 관광정보인 외부데이터와 결합해 사용자의 디지털 흔적을 수집, 분석하는 여행 마이데이터 플랫폼을 제시한다. 이를 통해 사용자에게 신뢰도가 높은 여행정보를 제공하고 여행 후 정산 문제를 해결하고자 한다.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.169-183
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• 2014

Massive and various types of data recorded everywhere are called big data. Therefore, it is important to analyze big data and to nd valuable information. Besides, to standardize unstructured big data is important for the application of statistical methods. In this paper, we will show how to standardize unstructured big data using MapReduce which is a distribution processing system. We also apply simple correspondence analysis and multiple correspondence analysis to nd the relationship and characteristic of direct relationship words for Samsung Electronics and The Korea Economic Daily newspaper as well as Apple Inc.

• Informatization Policy
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• v.27 no.3
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• pp.3-18
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• 2020

In the growing digitalized world, the European Union implemented the General Data Protection Regulation(GDPR) to establish a comprehensive data protection framework across member states. Given the constitutional roots of GDPR, the EU's regulatory approach is different than other data protection regimes. The new regulation has strengthened individual rights to data protection, but it also introduced several obligations for businesses that collect and process personal data. We review the existing literature on privacy, particularly GDPR, from a policy perspective. The evidence outlines data regulation's effects on competition, innovation, marketing activities, and cross-border data flows. The discussion highlights the tradeoffs between increased regulation of data protection and its effects on the market.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.526-530
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• 2008

전력계통의 경제급전은 전력거래시스템 및 에너지관리시스템(EMS)에서 사용되는 중요 기능 중의 하나이다. 경제급전의 계산은 대규모 행렬로 구성된 선형방정식에 기반하고 있다. 전력계통에 IT 기술을 이용한 여러 서비스가 개발 가능해짐에 따라 처리할 데이터량도 점차적으로 증가하고 있다. 본 논문에서는 이러한 경제급전을 병렬처리를 이용해 수행 속도를 향상시키는 방안을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.513-516
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• 2024

미·중 기술 패권 경쟁이 심화되면서 경제안보는 국가안보의 핵심 요소로 부상하였다. 주요국들은 각국이 도입한 경제안보 개념에 따라 입법과 정책을 추진하고 있다. 그러나 우리나라에서 경제안보 개념은 아직까지 불분명한 상황이다. 이에 본 연구는 국내 뉴스 빅데이터를 통해 경제안보 관련 담론을 파악하여 한국식 경제안보 개념화를 위한 토대를 만드는 것을 목적으로 하였다. 빅카인즈를 통해 경제안보 관련 뉴스 기사를 수집하고 텍스트 마이닝을 활용하여 분석하였다. TF-IDF 분석과 LDA 토픽 모델링이 분석에 활용되었다. 그 결과 세 개의 주요 토픽이 도출되었고, 경제안보의 이중 구조를 확인할 수 있었다. 본 연구는 향후 한국식 경제안보를 개념화하고 그에 대한 전략을 마련하기 위한 기초자료로 활용할 수 있을 것으로 기대한다.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.306-317
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• 2021

With a global shift from carbon economy towards hydrogen economy, leading countries such as the U.S., Europe, China, and Japan are focusing their research capabilities on hydrogen research and development(R&D) by announcing various hydrogen economy policies. South Korea also has been following this global trend by announcing hydrogen economy roadmap in January 2019 and legislating hydrogen economy related law. In this paper, we tried to figure out the national R&D trend of Fuel Cell Electric Vehicle(FCEV) and its knowledge structure by using recent 10-year project data of National Technology and Information Service(NTIS). We collected 1,479 FCEV-related projects and conducted text mining and network analysis. According to the analysis, FCEV-related R&D has been actively carried out over the entire process of hydrogen production, transport, storage, and utilization. Furthermore, the paper provides insights into the government's policy agenda building and market strategy on the hydrogen economy.

• 한국벤처창업학회:학술대회논문집
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• 2023.04a
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• pp.15-19
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• 2023

2022년 7월에 열린 'ON미래, 산업디지털전환 국회 포럼' 에서는 기업과 기업의 데이터들이 연결되고 산업에 활용 가능한 환경조성이 필요하며 이러한 데이터 생태계를 위한 거래 활성화로 비즈니스 모델 창출이 중요한 이슈로 떠올랐다. 소상공인시장진흥공단은 소상공인 디지털 특성화대학을 열고 소상공인 디지털 역량 강화를 위해 전국의 10개 대학과 연계하였다. 4차 산업혁명의 진전과 코로나19 팬데믹의 영향으로 인한 비대면 문화의 확산 등과 이에 따른 소상공인의 디지털역량이 사업을 영위하는데 중요한 이슈로 등장한 것이다. 본 연구는 소상공인의 사업 역량과 디지털 역량이 경제활동 지속 의도에 미치는 영향관계를 실증 분석하기 위하여 이루어졌다. 이를 위해 사업 역량을 세분화해서 소상공인의 업종 전문성, 고객관리 전문성으로 나누었다. 디지털 역량은 SNS 활동성, ICT 사용 용이성, ICT 사업 활용성으로 세분화하였다. 이들 요인들이 경제활동 지속 의도에 영향을 미침에 있어서 1인 미디어 교육참여도에 따라 어떻게 달라지는지를 동시에 살펴보았다. 이를 실증 분석하기 위해 1인 미디어 교육을 받은 사람을 대상으로 온라인 설문을 조사하고자 하며 디지털 역량의 중요성이 증대되는 시점에서 소상공인에 있어서도 이러한 역량이 경제활동 지속 의도에 영향을 미치는지 실증적으로 분석하는 측면에서 의의가 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.157-175
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• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.11-17
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• 2022

Currently, the income and funds of the local economy are flowing out to the metropolitan area, and talented people, the driving force for regional development, also gather in the metropolitan area, and the local economy is facing a serious crisis. Local currency is issued by local governments and is a currency with auxiliary and complementary functions that can be used only within the area concerned. In order to revitalize the local economy, as local governments have focused their attention on the introduction of local currency, studies on the issuance and use of local currency are continuously being conducted. In this study, by using big data from data materials such as portals and SNS, the consumer image of local currency issued in local governments was identified through big data analysis, and based on the research results, the issuance and operation of local currency was conducted. The purpose is to present implications for The results of this study are as follows. First, by inducing local consumption through the policy issuance of local currency, it is showing the effect of increasing the economic income of the region. Second, local governments are exerting efforts to revitalize the economy and establish a virtuous cycle system for the local economy by issuing and distributing local currency. Third, the introduction of blockchain technology shows the stable operation of local currency. With academic significance, it was possible to grasp the changed appearance and effect of local currency through big data analysis and the policy direction of local currency.

• Proceedings of the Korean Society for Information Management Conference
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• 1999.08a
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• pp.249-253
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• 1999

본 연구에서는 경제. 경영학 분야의 전자 정보원을 좀 더 효율적으로 검색하기 위해서 각 정보인의 특성 및 내용을 체계적으로 기술하는 메타데이터를 설치한 후 XML과 ACCESS 데이터베이스 시스템을 이용하여 메타데이터 검색 시스템을 구현해 보았다.