• Knowledge Management Research
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• v.22 no.4
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• pp.87-101
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• 2021

ESG Investment is emerging as a trend and common sense in the financial market. ESG Investment is an investment method that simultaneously pursue social sustainability and investment returns from a long-term perspective by reflecting non-financial factors such as environment, society and governance in addition to corporate financial performance in investment decisions. This study checked how the characteristics of ESG investment have been changed after Covid-19. Afterwards, it was confirmed that Covid-19 actually acted as a negative factor in the securities market by applying VAR model. At the same time, it was demonstrated that ESG indices of the US and Korea outperformed their benchmark in terms of return and risk during the pandemic regime. The result of this study hints that the importance of ESG investment will be unchanged after Covid-19. At the same time, it suggests that managers should avoid passive ESG management and engage in strategic ESG management based on knowledge management.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.8
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• pp.235-242
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• 2020

In order to promote digital transformation of our agricultural and rural communities in the wake of the fourth industrial revolution and prepare for the upcoming artificial intelligence era, it is necessary to establish a system and system that can collect, analyze and utilize necessary quality data. To this end, we will investigate and analyze problems and issues felt by various stakeholders such as farmers and agricultural officials, and present strategic measures to revitalize big data, which must be decided in order to promote digital transformation of our agricultural and rural communities, such as expanding big data platforms for joint utilization, establishing sustainable big data governance, and revitalizing the foundation for big data utilization based on demand.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.155-164
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• 2010

The purpose of this paper is to propose critical success factors for effectively managing information systems(IS) outsourcing. The survey method was used for this paper, and data from a total 106 companies that were listed greater than $10 million were used for the analysis. To analyze the data, structural equation model was used. The results of this empirical study is summarized as follows. First, both formal control based on contract and informal control based on trust have a positive effect on control level which is a determinant indicator of IS outsourcing performance. Second, management capability such as preparedness capability and relationship capability have a positive effect on formal and informal control mechanism. The findings have important implications for the role of trust and management capability in formal management control.

• Journal of KIBIM
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• v.14 no.1
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• pp.30-38
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• 2024

This study aims to propose a smart city governance logic model that can accommodate more diverse information service systems by mixing hub-and-spoke and blockchain technologies as a data management model. Specifically, the research focuses on deriving the logic of an operating system that can work across smart city planning based on the two data governance technologies. The first step of the logic is the generation and collection of information, which is first divided into information that requires information protection and information that can be shared with the public, and the information that requires privacy is blockchainized, and the shared information is integrated and aggregated in a data hub. The next step is the processing and use of the information, which can actively use the blockchain technology, but for the information that can be shared other than the protected information, the governance logic is built in parallel with the hub-and-spoke type. Next is the logic of the distribution stage, where the key is to establish a service contact point between service providers and beneficiaries. Also, This study proposes the establishment of a one-to-one data exchange relationship between information providers, information consumers, and information processors. Finally, in order to expand and promote citizen participation opportunities through a reasonable compensation system in the operation of smart cities, we developed virtual currency as a local currency and designed an open operation logic of local virtual currency that can operate in the compensation dimension of information.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.109-109
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• 2017

전 세계적으로 기후변화, 인구증가, 도시화에 따른 물, 에너지, 식량 등 필수 자원의 수요량 증가로 인한 수급 불균형으로 글로벌 자원안보 위기가 대두되고 있다. 특히, 국내의 경우 경제성장로 인한 중산층 증가와 도시 인구 팽창에 따른 물, 에너지, 식량 등 필수 자원에 대한 수요 증가로 인해 유한한 자원에 대한 대응책이 시급한 실정이다. 또한 국내 자원의 대외 의존성이 높아 국제 자원 시장에 크게 영향을 받기 때문에 물-에너지-식량의 연계를 통한 자립적 자원확보가 필요하다. 국내에서도 수자원 자체만의 기존 기술 한계를 극복하기 위한 물-에너지, 물-식량 연계신기술 개발과 지속가능한 활용방안이 필요한 실정으로 현재 미국, 일본, 유럽 등 주요 선진국을 중심으로 물관리와 연계한 에너지의 효율화 및 수자원이 갖는 에너지의 회수와 적극적 활용이 추진되고 있다. 이를 반영하여, 국내의 경우 독립적으로 구분되는 이수, 치수, 물순환 건전화 등 주요 물관리 이슈에 대하여 에너지, 식량 분야를 연계한 통합적이고 효율적인 지속가능 방안제시가 필요하다. 이를 위해 자원안보의 선제적 대응을 위한 구체적이고 실질적인 물-에너지-식량의 연계 기술이 필요하며, 국내 실정에 적합한 기술의 도입이 필요하다. 즉 (1) WEF 데이터공유 및 범정부적 의사결정을 위한 다부처 협업체계 구축을 위한 Bigdata기반 부처간 데이터베이스 구축 및 공유 (2) 기후변화 적응 자원연계 솔루션 개발 및 넥서스 영향평가 툴 개발을 위한 자원 효율성 증대를 위한 연계 기술 고도화 (3) 국내(미래넥서스시티 versus 지자체자립형넥서스마을), 해외 on-demand형의 미래자원관리 패키지기술 실증을 위한 국내외 Testbed구축 및 운영 (4) 기술의 실현을 위한 제도, 정책의 개선 및 국민 공감대 형성을 위한 WEF 넥서스 거버넌스 수립 및 개선으로 구분할 수 있다. 이를 통해, 물-에너지-식량 분야 상호 연계를 통한 분야별 "생산-가공-유통처리" 효율 30% 개선, 20C SOC 시설산업기반에서 21C 사회 인프라 국민 서비스 산업으로 전환을 통한 국가 신산업기반 구축, 4차 산업혁명의 Data Technology 분야에서 세계 최초의 공공기반 WEF 연계 패키지 기술 개발 들이 가능할 것으로 판단된다.

• Informatization Policy
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• v.27 no.4
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• pp.47-66
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• 2020

The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.373-396
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• 2021

The government is establishing a national governance system so that research data can be systematically preserved and reused as a national asset. Recently, as DMP submission has become mandatory in some research institutes, it is a reality that DMP preparation is becoming a necessity for researchers. Therefore, the purpose of this study is to develop a template so that the researcher can easily write the DMP that must be submitted when planning the project. To develop such a DMP template, 27 domestic and foreign DMP templates were investigated and analyzed, and as a result, a DMP template for domestic researchers was proposed. It is judged that the DMP template proposed as a result of this study can be used as an exemplary case that can be used in other research institutes and universities.

• 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

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.141-154
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• 2022

In the data economy era, various policies are being implemented to create an active data distribution environment. In South Korea, the formation of a big data distribution platform and data trading began with the launch of the Financial Data Exchange under public data governance. In the case of major advanced countries in the data field, they have built a data distribution environment based on the data broker industry for decades and have strengthened national data competitiveness through added values generated from the industry. However, behind the active data distribution through data brokers, there are numerous information security issues, which have resulted in various privacy issues and national security threats. These problems can occur sufficiently in the process of domestic financial data exchange. In our study, we analyzed various information security issues of data trading caused by data brokers and derived information security requirements to be considered when trading data. We verified whether information security requirements are well reflected in the information security policy for each transaction stage of the domestic financial data exchange. Based on the verification, measurements to strengthen information security for financial data exchange are presented in our paper.

• Knowledge Management Research
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• v.21 no.4
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• pp.243-263
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• 2020

The purpose of this study is to propose the performance measurement model for open big data platform. In order to develop the performance measurement model, we have integrated big data reference architecture(NIST 2018) with performance prism model(Neely et al. 2001) in the platform perspective of open big data. Our proposed model consists of five key building blocks for measuring performance of open data platform as follows: stakeholder contribution, big data governance capabilities, big data service capabilities, big data IT capabilities, and stakeholder satisfaction. In addition, our proposed model have twenty four evaluation indices and seventy five measurement items. We believe that our model could offer both research and practical implications for relevant research.