• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.295-297
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• 2012

내부자에 의한 위협이 증가됨에 따라, 기업 내 핵심기술이 유출되어 큰 피해가 발생하고 있다. 내부자들이 합법적인 권한을 통한 불법적인 정보유출을 시도하는 위험을 예측 관리하기 위하여, 본 논문에서는 내부자들의 위험도를 평가하기 적합한 위험분석 방법론 ISMS-AIR(ISMS - Against Insider Risk)을 제안하였다. 내부자 위협의 정의와 위험도 평가를 위한 기존 위험분석 방법론들을 연구하였으며, 기존 자산 중심의 위험분석 방법론인 ISMS에 사용자 중심의 행위 모니터링을 강화하여 위험도 산출하는 방법을 제안하였다. 이를 위하여 사용자 행위에 따른 프로파일링 데이터와 이상징후 시나리오를 적용하여 내부자들의 위험도를 산출하고, 주요 모니터링 대상을 선정하여 내부자들의 불법적인 정보유출 시도행위를 모니터링 할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.173-174
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• 2024

1832년 휘트스톤 미러 입체경으로부터 시작해 현재 메타버스 라는 개념이 도입이 시작 되면서 이 메타버스는 가상 현실(VR) 기술을 통해 사람들이 디지털 세계에서 상호작용할 수 있는 새로운 차원을 제공한다. VR기기는 메타버스 세계를 들어오기 위한 도구 중 하나이며, 메타버스의 핵심 요소 중 하나이다. 이러한 맥락에서 VR 시장은 경제적으로 더 이상 간과할 수 없는 중요한 영역이 되는데. 특히, SONY와 Meta는 현재 VR 기기 시장을 주도하고 있는 두 거대 기업으로, 두 회사의 전략과 시장 점유율은 매우 중요한 의미를 가진다. 본 논문은 SONY와 Meta의 제품 판매량을 분석하여 한국 시장에 이들 기업의 데이터를 대입하여 분석해보아, 흥미로운 시사점을 얻을 수 있다는 가능성을 보고, 한국 내 VR 시장의 미래 잠재력을 파악할려는 의도를 가진다.

• Korean small business review
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• v.42 no.2
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• pp.43-67
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• 2020

Studies on technological innovation of SMEs have made remarkable growth both qualitatively and quantitatively, but each study has a limitation to generalize due to lack of data, diversity of methodologies and variables. Therefore, a systematic and comprehensive statistical approach to obtain generalized conclusions through numerous empirical studies can help both the strategic decision making of SMEs and the government's innovation policies. The purpose of this study is to comprehensively analyze the technological innovation process of SMEs through meta-analysis. For this, the antecedents of technological innovation, the relationship between technological innovation and management performance of SMEs were analyzed. The results of using 62,512 samples from 111 domestic empirical studies were as follows; First, to improve the technological innovation of SMEs, internal cooperation, innovation culture, dynamic capabilities, and absorptive capacity were important antecedents. Second, in terms of IP performance, which was introduced as a proxy for technological innovation, human resource management, technological opportunities, commercialization capabilities, financial resources, and R&D expenditure. Third, technological innovation has a medium-sized effect on financial performance, however the effect of IP performance has a small effect size. Lastly, in the relationship between technological innovation and financial performance, the method of measurement and publication type showed statistically significant moderating effects.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.187-195
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• 2019

Recently, it has become possible to collect, store, process, and analyze data generated in various fields by the development of the technology related to the big data. These big data technologies are used for clinical results analysis and the optimization of clinical trial design will reduce the costs associated with health care. Therefore, in this paper, we are going to analyze clinical results and present guidelines that can reduce the period and cost of clinical trials. First, we use Sqoop to collect clinical results data from relational databases and store in HDFS, and use Hive, a processing tool based on Hadoop, to process data. Finally we use R, a big data analysis tool that is widely used in various fields such as public sector or business, to analyze associations.

• Annual Conference of KIPS
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• 2005.11a
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• pp.595-598
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• 2005

인터넷 기반의 e-비즈니스의 출현은 기업의 정보 시스템의 패러다임에 변화를 가져왔다. 단순한 형태의 데이터/정보의 통합에서 기업간 정보 시스템의 연계 및 연동을 위한 개념 및 요소기술들이 기업중심의 표준화를 통해 다양하게 제안되었다. 전문분석가에 의하면 향후 $3{\sim}5$ 년 이내에 기업의 정보 시스템간 통합/연동을 기반으로 전략적 제휴가 일상화 될 것으로 예상한다. 따라서 이 논문에서는 개발된 시스템 통합 및 연동에 대한 기본적인 개념과 특징을 소개하고, 우편물류통합정보시스템의 구성과 특성을 분석하며, 차세대 우편물류정보서비스를 지원하는 시스템 플랫폼 시스템의 모델을 제시하고자 한다.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.436-446
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• 2003

기업의 업무을 지원하고, 조직의 방향을 유도하는 정보 관리시스템에 있어, 전통적인 정보기술 관리에 대한 방법이 개발자 중심의 산출물과 고립된(Standalone) 데이터 처리의 문제점을 나타내고 있다. 이로 말미암아, 고비용, 저통합성으로 인하여 변화하는 기업 내외적인 경영환경에 대처하는 기반구조 변경이 어려운 실적이고, 임기 응변적이고 벤더 중심적인 시스템 개발에 통합성과 업무와 정보시스템간의 얼라이먼트에 문제가 발생하고 있다. 이러한 문제를 해결하기 위하여 ITA를 기업에 적용하여 전사적인 경영과 정보기술간의 통합성과 변화하는 환경에 유연한 적응의 필요성이 대두되기에 이르렀다. 이에 대한 문제점을 해결할 수 있는 경영과 조직에 아키텍처 프레임워크를 구축하여 경영환경의 변화에 따른 능동적인 시스템의 변화관리를 해야 한다. 이에 따라 본 논문에서는 ZachmanFramework,IndexFramework을 소개하고 이들 Framework과 TOGAF를 비교 분석한 다음 향후 기업에 맞는 ITA를 구축하는데 있어 TOGAF의 아키텍처 프레임워크의 활용방안을 고찰하려 한다.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.150-162
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• 2016

This study empirically analyze the effect of government R&D investment to find out whether it complements or substitutes for the firm R&D. In order to do it panel data set was constructed for the period of three years from 2012 to 2014 based on the number of 1301 data by utilizing national technology information service(NTIS) and publicly announced financial statement. Analysis was implemented in consideration of size of the firm(large corporation, small and medium sized firm) of which sample was obtained from only listed company. The result of two-way fixed effect model and two-way random effect model is as follows. In case of large corporation, government R&D investment has an effect of substitute for the company's R&D on the other hand, small and medium sized firm shows an complementary effect. It verifies that current R&D policy is appropriate. Therefore government's direct subsidy is expected to be successful to fertilize firm's innovation by allocating government R&D budget efficiently.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.143-163
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• 2023

This study aims to analyze the impact of ESG activities on the corporate performance of logistics companies in Korea. To achieve this, the study examines the factors influencing the adoption and implementation of ESG activities, assesses the extent to which ESG activities enhance corporate trust and image, and empirically analyzes the effect of ESG implementation on the corporate performance of logistics companies. An online survey was conducted using Google Forms for Korean logistics companies, and a total of 463 data sets were utilized for PLS structural equation analysis using the SmartPLS 4.0 software tools. The findings of the study are as follows: Firstly, external pressure, specifically government pressure, significantly influences environmental responsibility activities, while investor pressure significantly affects social responsibility activities and governance responsibility activities. Additionally, internal management pressures significantly impact environmental responsibility activities, and employees have a significant influence on all ESG responsibility activities. Secondly, environmental responsibility activities positively affect corporate image, whereas social and governance responsibility activities influence trust and corporate image. Thirdly, trust and corporate image demonstrate significant effects on both financial and non-financial performance. Fourthly, trust significantly mediates the relationship between social responsibility, governance responsibility, and non-financial performance, while image mediates the connection between ESG responsibility and both financial and non-financial performance. The contribution of this study lies in providing practical insights for logistics companies to actively promote ESG activities, thereby establishing a reputation for being environmentally, socially, and governance responsible and gaining customer trust. By doing so, this study aims to raise awareness of the importance of ESG activities in the logistics industry and help companies recognize their significance for sustainable management

• Information Systems Review
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• v.19 no.4
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• pp.1-25
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• 2017

Despite high uncertainty on financial return, firms have continuously increased their investment on technologies because they recognize the potential value of technology investment in terms of enhancing operational efficiency and sustaining competitive advantage. Notably, an individual technology investment pattern or strategy within an industry may ultimately lead to significant differences in business performance. Hence, we first categorized technology investment into traditional research and development investment and information technology investment. Afterward, we examined the effects of each pattern with combination of the two types of technology investment on business performance according to firm size and position in the supply chain through fuzzy-set qualitative comparative analysis. Data collected from 562 manufacturing firms in Korea were used in the analysis. Results showed that large-sized firms were slightly affected with microscopic patterns in their technology investments, whereas small firms were highly affected with their technology investment patterns and their positions in the supply chain. The findings implied that a small enterprise requires an appropriate technology investment strategy to achieve successful business outcomes.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.47-57
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• 2013

Big data analysis needs a new tool for decision making in view of data volume, speed, and variety. Many global IT enterprises are announcing a variety of Big data products with easy to use, best functionality, and modeling capability. Big data packages are defined as a solution represented by analytic tools, infrastructures, platforms including hardware and software. They can acquire, store, analyze, and visualize Big data. There are many types of products with various and complex functionalities. Because of inherent characteristics of Big data, selecting a best Big data package requires expertise and an appropriate decision making method, comparing the selection problem of other software packages. The objective of this paper is to suggest a decision making method for selecting a Big data package. We compare their characteristics and functionalities through literature reviews and suggest selection criteria. In order to evaluate the feasibility of adopting packages, we develop two Analytic Hierarchy Process(AHP) models where the goal node of a model consists of costs and benefits and the other consists of selection criteria. We show a numerical example how the best package is evaluated by combining the two models.