• 디지털융복합연구
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• 제20권3호
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• pp.221-229
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• 2022

최근 마이데이터 사업이 본격화됨에 따라 개인데이터 활용에 관한 관심은 더욱 증가하고 있다. 그러나 마이데이터에 관한 연구들은 아직까지 초기 단계로서, 법·제도적 논의에 집중되어 있으며 종합적인 시각에서 마이데이터를 조망한 연구는 부족한 상황이다. 이에 본 연구는 데이터거래에 관한 논의가 본격화된 2018년부터 현시점까지의 뉴스를 분석하여 사회적 논의가 형성한 잠재적 주제를 분석하고자 하였다. LDA 토픽모델링 기법을 통한 뉴스데이터 분석을 통하여 마이데이터 기반 금융혁신, 마이데이터 사업자 지위 및 허가, 데이터 관련 법 개정, 안전한 데이터 활용, 데이터 경제활성화 정책, 사업자의 전략 등 6개의 잠재적 주제를 도출하여 제시하였다. 본 연구는 마이데이터 태동과 함께 나타난 사회적 이슈를 종합적으로 조망하고 관련 논의의 공백을 도출하여 시사점을 제시한 의의가 있다. 향후 연구에서는 마이데이터 서비스 개시 이후의 변화를 파악하고, 마이데이터 산업별 심도깊은 연구를 통하여 구체적인 시사점을 제공하길 기대한다.

• 한국항행학회논문지
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• 제23권1호
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• pp.20-35
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• 2019

본 연구의 목적은 공항정책과 리더십이 공기업 경영평가 수행도와 성과관리시스템을 통해 성과에 미치는 영향을 규명하는 것이다. 데이터는 인천국제공항공사와 한국공항공사에서 simple random sampling으로 533명의 임직원을 대상으로 설문조사를 통해 수집하였다. 데이터 분석은 구조방정식모형(SEM; structural equation modeling)을 사용하였다. 연구결과는 공항정책과 리더십이 공항 성과에 핵심변수라는 것과 공기업 경영평가수행도는 매개효과가 유의하다는 것을 실증연구를 통해 규명하였다. 따라서 본 연구는 공항정책에 관한 적극적인 제안과 통찰력 있는 리더십이 필요하다는 것을 주장하고 있다. 이 논문은 공기업 경영평가 연구에 새로운 관점을 탐구하고 공항 성과를 위한 방향을 제공하는 연구자와 실무자에게 실질적인 도움을 제공한다.

• 보건행정학회지
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• 제31권3호
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• pp.261-271
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• 2021

Background: In 2018, the government increased the fee for the magnetic resonance imaging (MRI) image deciphering services of the external hospital to discourage the redundant MRI scan and to induce appropriate use of the MRI services. It is important to evaluate the effect of the policy to provide the basis for establishing other MRI-related policies. Methods: The healthcare data of the patients who had brain MRI scans were organized by episode and analyzed using the panel study in order to find out the effect of the MRI-related policy on the substitution effect and the medical expenses. Results: As a result of the increase in the fee of deciphering the MRI image, there has been an uplift in deciphering the MRI scan of the external hospital. It implies that more hospitals chose to use the MRI scan taken by other clinics or hospitals, rather than the MRI scan taken at their own facilities. Conclusion: The research results imply that a policy that facilitates the exchange of the medical image data between the hospitals is needed in order to establish an efficient management system of the healthcare resources. Such improvement is expected to reduce the social cost and contribute to the stability in the finance of national health insurance.

• Asian Journal of Innovation and Policy
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• 제9권3호
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• pp.240-256
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• 2020

The Biotechnology Support Act has provided a legal basis for promoting the biotechnology field as the highest legal authority in the biosciences since its enactment in 1983, and has contributed to enhancing Korea's biotechnology research and development (R&D) capabilities and to revitalizing bioscience ecosystems by establishing policies for supporting biotechnology, expanding the government research and development, and promoting industrial applications. The revised bill of the Biotechnology Support Act is the law that reflects changes in the technological and social environment and that provides a legal basis for practical support of government policies such as total periodic research support, commercialization empowerment, and creation of an innovative research environment, and it will come into effect in November, 2020 after a six-month grace period. The main contents of the revised bill are 1) increasing status as a general norm in the biotechnology field, 2) establishing data evidence-based policies, 3) inducing biotechnology innovation, and 4) promoting regulatory science, especially research and development. This revision has been reorganized in a timely manner in accordance with the current technological advancements, changes in society and environment, and both quantitative and qualitative growth of the domestic bioscience ecosystems and its competitiveness are expected by systematic supports and promotions of the government during the whole period in terms of research and development (R&D) as well as business and industrialization.

• 유통과학연구
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• 제20권2호
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• pp.11-18
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• 2022

Purpose: The purpose of this paper is to investigate the influence of brand equity on customer purchase decision (CPD) of products for retailers distribution (RB) in Ho Chi Minh city, Vietnam. There are five elements in the brand equity model such as brand awareness, brand association, brand loyalty, perceived quality, and pricing policy. Research design, data and methodology: Qualitative methodology was used for exploring the research model and variables. The survey was conducted to collect data from 251 respondents who bought products at RB in Ho Chi Minh city, which is based on a Likert scale. The collected data were analyzed with the reliability of the scale, exploratory factor analysis, and research hypothesis testing by SPSS 22. Results: The results obtained revealed that brand awareness, brand association, perceived quality, and pricing policy have a significant impact on CPD for RB. Furthermore, the results showed that perceived quality is the most significant component in influencing CPD at retailers. Conclusions: From the research results, some management implications that RB should focus on are perceived quality, choice of pricing policies and strategies, brand building and development to attract more customers as well as enhance its image to improve customers' purchasing decisions of products at retail distributors chain.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• 동아시아경상학회지
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• 제9권2호
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• pp.43-54
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• 2021

Purpose - This study aims to build other studies and research on the perception and association of fair hiring policy and employee job satisfaction. The reviews and further research of the performance appraisal and employee satisfaction topics provided a basis to conduct this study based on the challenges that result from equality hiring perception on the performance appraisal on the job satisfaction by employees. Research design, data, and methodology - The author collected many textual contexts from mostly peer-reviewed academic journals, which means that academic comprehensive integrity can be obtained by qualitative approach for this study with discussing and following a constructive review analysis. The content analysis aims to determine a textural dataset in the longtime frame from the newest textural information. Result - There is little doubt that this study was significant and relevant to the relationship between fair hiring policy and worker's job satisfaction, indicating that an organization that practices a fair hiring policy positively affects employee job satisfaction. After all, the employee needs are well catered for and meet appropriately. Conclusion - This study suggests that fairness extensively relies on the organization's ability to identify and eliminate any form of performance challenges regarding equity and has proved and determined the significant relationship between fair hiring policy and employees' job satisfaction

• 지식경영연구
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• 제20권3호
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• pp.73-89
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• 2019

The purpose of this study is to investigate the current state of public Big Data in Seoul and suggest policy directions for the revitalization of Seoul's public Big Data. Big Data is perceived as innovation resources under the era of 4th Industrial revolution and Data economy. Especially, public Big Data serves a significant role in terms of universal access for citizens, startup, and enterprise compared with the private sector. Seoul reorganized a substructure of government's focus on Big Data and established organizations such as Big Data Campus and Urban Data Science Lab. Although the number of public open Data has increased in Seoul, there exists not much Data with characteristics similar to Big Data, such as volume, velocity, and value. In order to present the direction of Big Data policy in Seoul, we investigate the current status of Big Data Campus and Urban Data Science Lab operated by Seoul City. Considering the results of this study, we have proposed several directions that Seoul can use in establishing big data related strategies.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.325-334
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• 2021

The study investigates the effectiveness of the macroprudential policy on credit growth in Vietnam. The authors use the logic of the transmission mechanism of macroprudential policy on credit growth. Research variables include economic growth, inflation, interest rate, and quarterly bank-level data from 28 commercial banks in Vietnam during 2011-2018. The results reveal that: (i) GDP growth had a positive impact on credit growth of small banks but had no impact on large banks, (ii) Domestic Systemically Important Banks (D-SIBs) and small banks respond differently to macroprudential measures of imposing different credit growth targets for different bank groups, (iii) Restrictions on foreign currency loans are found to be effective in curbing credit growth for the full sample and small banks, (iv) Inflation and economic cycle have significantly impacted credit growth at bank-level in Vietnam and (v) Interestingly, a significant positive relationship between interest rates and credit growth is found for the full sample and D-SIBs in Vietnam. The findings suggest that a stable macroeconomic environment should be good conditions for financial stability, and monetary authority should pay more attention to small banks' behaviors than D-SIBs behavior, toward such "administration" tools since small banks tend to prefer "breaking the rules" to make profits.

• Asian Journal of Innovation and Policy
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• 제5권3호
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• pp.251-274
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• 2016

Practical methodology for categorizing collaborative disciplines or research in a quantitative manner is presented by developing a Correlation Matrix of Major Disciplines (CMMD) using bibliometric data collected between 2009 and 2014. First, 21 major disciplines in science and engineering are defined based on journal publication frequency. Second, major disciplines using a comparing discipline correlation matrix is created and correlation score using CMMD is calculated based on an analyzer function that is given to the matrix elements. Third, a correlation between the major disciplines and 14 research fields using CMMD is calculated for validation. Collaborative researches are classified into three groups by partially accepting the definition of pluri-discipline from peer review manual, European Science Foundation, inner-discipline, inter-discipline and cross-discipline. Applying simple categorization criteria identifies three groups of collaborative research and also those results can be visualized. Overall, the proposed methodology supports the categorization for each research field.