• 한국경영과학회지
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• 제42권1호
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• pp.65-77
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• 2017

The purpose of this paper is to develop a model of level evaluation for data governance that can diagnose and verify level of insufficient part of operating data governance. We expanded the previous study related on attribute indices of data governance and developed a level model of evaluation and items. The model of level evaluation for data governance is the level of evaluation and has items of 400 components. We used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a level evaluation model for data governance at the early phase. This paper will be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.

• 한국경영과학회지
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• 제42권1호
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• pp.53-63
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• 2017

Managing the quantitative measurement of the data control activities in enterprise wide is important to secure management of data governance. However, research on data governance is limited to concept definitions and components, and data governance research on evaluation models is lacking. In this study, we developed a model of quantitative assessment for data governance including the assessment area, evaluation index and evaluation matrix. We also, proposed a method of developing the model of quantitative assessment for data governance. For this purpose, we used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a quantitative evaluation model for data governance at the early stage of the study. This paper can be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권2호
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• pp.57-66
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• 2017

데이터 거버넌스는 연구초기 단계의 영역이므로 개념정의와 구성요소 정립에 연구가 집중되어 있다. 그러나 데이터 거버넌스의 도입에 대한 의사결정을 돕기 위해서 데이터 거버넌스의 평가에 관한 연구 또한 필요하다. 본 연구는 데이터 거버넌스 프레임워크에서 데이터 거버넌스를 평가하기 위한 속성지표에 관한 연구이다. 이를 위하여 RGT와 Laddering기법을 적용하여 전문가 인터뷰를 실시하였고, 이 결과를 제3자 차원의 검증을 위해서 설문과 통계적인 검증분석을 실시하였다. 통계적인 분석에는 크론바하 알파 계수, MANOVA, 상관분석을 실시하였다. 이를 통해서 데이터 거버넌스 속성지표를 데이터 통제영역에는 8개의 속성지표, 데이터 품질영역에 16개의 속성지표, 데이터 조직영역에 7개의 속성지표를 도출하였다. 또한 AHP기법을 적용하여 속성지표의 가중치와 우선순위를 선별하였다. 이 연구결과는 데이터 거버넌스의 개념정립과 구성요소의 명확한 이해 및 기업의 거버넌스 도입과 운영의 기초자료로 활용될 것이다.

• 한국경영과학회지
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• 제41권3호
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• pp.45-58
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• 2016

Data are important in an organization because they are used in making decisions and obtaining insights. Furthermore, given the increasing importance of data in modern society, data governance should be requested to increase an organization's competitive power. However, data governance concepts have caused confusion because of the myriad of guidelines proposed by related institutions and researchers. In this study, we re-established the concept of ambiguous data governance and derived the top-level components by analyzing previous research. This study identified the components of data governance and quantitatively analyzed the relation between these components by using DEMATEL and context analysis techniques that are often used to solve complex problems. Three higher components (data compliance management, data quality management, and data organization management) and 13 lower components are derived as data governance components. Furthermore, importance analysis shows that data quality management, data compliance management, and data organization management are the top components of data governance in order of priority. This study can be used as a basis for presenting standards or establishing concepts of data governance.

• 품질경영학회지
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• 제50권4호
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• pp.811-830
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• 2022

Purpose: In this paper, we will discuss 1) prioritizing databases to be integrated; 2) which data elements should be emphasized in federated database integration; and 3) the degree of efficiency in the integration. This paper aims to lay the groundwork for building data governance by presenting guidelines for database integration using metrics to identify and evaluate the capabilities of the UK's air quality databases. Methods: This paper intends to perform relative efficiency analysis using Data Envelope Analysis among the multi-criteria decision-making methods. In federated database integration, it is important to identify databases with high integration efficiency when prioritizing databases to be integrated. Results: The outcome of this paper aims not to present performance indicators for the implementation and evaluation of data governance, but rather to discuss what criteria should be used when performing 'federated integration'. Using Data Envelope Analysis in the process of implementing intelligent data governance, authors will establish and present practical strategies to discover databases with high integration efficiency. Conclusion: Through this study, it was possible to establish internal guidelines from an integrated point of view of data governance. The flexiblity of the federated database integration under the practice of the data governance, makes it possible to integrate databases quickly, easily, and effectively. By utilizing the guidelines presented in this study, authors anticipate that the process of integrating multiple databases, including the air quality databases, will evolve into the intelligent data governance based on the federated database integration when establishing the data governance practice in the railway industry.

• 한국빅데이터학회지
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• 제3권2호
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• pp.1-10
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• 2018

스마트 물관리 분야에서도 빅데이터 분석을 통해 경쟁력을 강화하려는 요구가 급증하면서 빅데이터에 대한 체계적인 관리(거버넌스)가 중요한 이슈로 부각되고 있다. 빅데이터 거버넌스는 데이터의 품질보장, 프라이버시 보호, 데이터 수명관리, 데이터 전담조직을 통한 데이터 소유 및 관리권의 명확화 등의 데이터 관리를 평가하고(Evaluation), 지시하며(Direction), 모니터링(Monitoring) 하는 체계적인 관리활동을 의미한다. 빅데이터 거버넌스가 확립되지 못하면 중요한 의사결정에 품질이 낮은 데이터를 사용함으로써 심각한 문제를 야기할 수 있으며, 개인 프라이버시 관련 데이터로 인해 빅브라더의 우려가 현실화될 수 있고, 폭증하는 데이터의 수명관리 소홀로 인해 IT 비용이 급증하기도 한다. 이러한 기술적인 문제가 완비되더라도 데이터 관련 문제를 전담하고 책임지는 조직과 인력이 없다면 빅데이터 효과는 지속되지 못할 것이다. 본 연구에서는 빅데이터 기반의 스마트 물관리를 위한 데이터 거버넌스 구축모델을 제시하고, 실제 물관리 업무에 적용한 사례를 소개한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.853-866
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• 2020

The purposes of this research were: 1) to investigate the effect of participatory management on financial information asymmetry, 2) to investigate the effect of corporate governance on financial information asymmetry, 3) to examine the influences of benefits incentives on financial information asymmetry, and 4) to test the mediating effects of benefits incentive that influences the relationship between participatory management, corporate governance, and financial information asymmetry. The research sample consisted of 388 Thai-listed firms. Data were collected through a survey questionnaire. Descriptive analysis, Multiple Regression Analysis, and Structural Equation Modeling were used for the data analysis. The results revealed: 1) participatory management and participation in evaluation had a negative influence on financial information asymmetry. 2) Corporate governance and the rights of shareholders had a negative influence on financial information asymmetry. 3) Benefits incentive was negatively associated with financial information asymmetry. 4) The model's influences of participatory management, corporate governance on the reduction of financial information asymmetry through benefits incentive as mediator fit the empirical data (Chi-square = 104.459, df = 84, p = 0.065, GFI = 0.967, RMSEA = 0.025). The variables in the model explained 78.00% and 4.70 % of the variance of benefits incentive and financial information asymmetry, respectively.

• 디지털융복합연구
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• 제18권7호
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• pp.93-99
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• 2020

본 연구에서는 비정형적인 대용량의 텍스트 자료로부터 유의미한 정보를 추출하는 빅데이터 분석방법 중 텍스트 마이닝을 이용하여 시행 중인 정책과 제도에 대한 시민의견을 모니터링 할 수 있는지 확인하였다. '경기지역화폐'와 관련된 5,108건의 신문기사와 748건의 온라인 카페글을 수집하여 빈도분석, TF-IDF분석, 연관분석, 워드트리 시각화 분석을 수행하였다. 그 결과로 기사에서는 지역화폐의 도입 목적, 제공되는 혜택, 사용방법에 관련된 내용이 많았고 카페글에서는 지역화폐의 실사용과 관련된 내용 위주로 작성이 되어있음을 확인하였다. 또한 지역화폐 활성화를 위해서 뉴스는 정보전달자로서 지역화폐의 홍보에 관여하고 있었고 카페글은 지역화폐 사용자인 시민들의 의견으로 이루어져 사용과 관련된 실제적인 정보 교환의 장으로 기능하고 있었다. 지역화폐뿐만 아니라 다양한 정책과 제도에 관해서도 SNS와 텍스트 마이닝을 통해 시민들의 의견을 수렴하여 효과적으로 활성화시킬 수 있을 것으로 보인다.

• Nutrition Research and Practice
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• 제18권5호
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• pp.746-759
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• 2024

BACKGROUND/OBJECTIVES: To encourage schools to transform school meal programs to be more educational, it is necessary to evaluate the related environment using a whole school approach. We developed a school food culture evaluation tool to quantitatively evaluate school food culture in Gyeonggi Province, Korea. SUBJECTS/METHODS: Based on a literature review, a school food culture evaluation system consisting of areas, subareas, indicators, and questions (scored on a 5-point scale) was constructed. The validity of the tool was reviewed using focus group interviews, the Delphi technique, and a preliminary survey. Subsequently, evaluation tool was applied to elementary, middle, and high schools in Gyeonggi Province. Data from 115 schools were used for the final analysis. This included 64 elementary schools, 29 middle schools, and 22 high schools. At least one respondent from each group-school administrators, teachers, and nutrition teachers (or dietitians)-participated. The results were compared at the school level. RESULTS: The evaluation tool consisted of 66 questions in 5 areas (institutional environment, physical environment, educational environment, educational governance, and school meal quality). The total average score for school food culture was 3.83 points (elementary school 3.89 points, middle school 3.76 points, and high school 3.76 points) and did not differ significantly among school levels. Among the 5 evaluation areas, scores were highest for institutional environment (4.43 points) and lowest for physical environment (3.07 points). Scores for educational environment, educational governance, and school meal quality were 3.86, 3.85, and 3.97 points, respectively. CONCLUSION: It is necessary to improve the physical environment to create a desirable school food culture in Gyeonggi Province. To effectively promote healthy eating, ongoing investment and interventions by local authorities at improving school food culture are needed, with an emphasis on particular factors, such as the eating environment and staff training.

• International Journal of Knowledge Content Development & Technology
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• 제14권3호
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.