• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.1
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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.

• Asian Journal of Business Environment
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• v.7 no.2
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• pp.5-16
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• 2017

Purpose - The purpose of this research study is to make a comparative analysis between corporate governance guidelines 2016 and 2012 and area of further improvement to ensure better governance, accountability and transparency. Research design, data and methodology - This research study is mainly based on the corporate governance guidelines 2016 and 2012 issued by the regulatory authority known as Bangladesh Securities and Exchange Commission (BSEC). Results - This study finds that corporate governance guideline 2012 include some new issues such as criteria and qualification of independent director; some additional statements in the directors' report; mandatory requirement of separation of chairman and CEO; constitution of audit committee; chairman of audit committee; role of audit committee, duties of CEO and CFO on financial statements; and collection of compliance certificate from professional accountant or secretary in compare to corporate governance guidelines 2016. Conclusions - This study suggests that the regulatory authority should include more issues such as tax management and reporting, risk management and reporting; individual and overall performance analysis of the board and independent directors; separate nomination and compensation committee; assessment of true independence of the board and its supporting committees to ensure higher quality of corporate governance and transparency.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.2
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• pp.137-158
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• 2023

In the modern digitized data society, there is a growing emphasis on securing trustworthiness and fairness in data utilization, along with data openness. By defining the concept of data democracy from various perspectives and presenting elements of normative values, this study aims to provide a basic conceptual framework to identify and evaluate the data governance system and levels of data democracy. As a foundation for the discussion of data democracy, based on Kneuer's (2016) conceptualization of e-democracy, free and equitable access, e-participation, and e-government were introduced as core dimensions of e-democracy. To improve the quality of data governance and foster a better understanding and practical application of the concept of data democracy, this study takes a normative approach from the perspective of democracy. Inclusiveness, equity, participation, and democratic sovereignty are provided as core dimensions of data democracy. This study highlights the significance of data literacy in promoting data democracy. It proposes the creation and assessment of a curriculum rooted in the normative principles of data democracy within the field of library and information science for future investigation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1090-1100
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• 2024

While the incorporating ESG indicator is recognized as crucial for sustainability and increased firm value, inconsistent disclosure of ESG data and vague assessment standards have been key challenges. To address these issues, this study proposes an ambiguous text-based automated ESG rating strategy. Earnings Call Transcript data were classified as E, S, or G using the Refinitiv-Sustainable Leadership Monitor's over 450 metrics. The study employed advanced natural language processing techniques such as BERT, RoBERTa, ALBERT, FinBERT, and ELECTRA models to precisely classify ESG documents. In addition, the authors computed the average predicted probabilities for each label, providing a means to identify the relative significance of different ESG factors. The results of experiments demonstrated the capability of the proposed methodology in enhancing ESG assessment criteria established by various rating agencies and highlighted that companies primarily focus on governance factors. In other words, companies were making efforts to strengthen their governance framework. In conclusion, this framework enables sustainable and responsible business by providing insight into the ESG information contained in Earnings Call Transcript data.

• Clean Technology
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• v.29 no.2
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• pp.151-159
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• 2023

The realization of carbon neutrality requires cooperation from various stakeholders and the utilization of a governance system. The criteria for participating members are crucial for the successful operation of governance, and it is especially necessary for experts who can provide scientific advice for policy implementation to share a framework for successful consensus. In this study, governance model theory and model structure, governance common success factors by case, and the application of governance cases in the climate and environmental sector of Seoul, were investigated and analyzed to derive common success factors in order to present the activity standards of the science and technology experts participating in governance. The study of the model theory suggested that the model structure is commonly composed of a basic condition-process-result structure, and it was confirmed that common success factors can be derived at the process stage which is the activity period of members. Through the case study of common success factors, overlapping factors were found to be reliability, accountability, transparency, networks, and related factors. The validity of the common success factors was verified using the analysis results of satisfaction survey data from Seoul Governance Committee participants. The results confirmed that reliability was the most valuable factor followed by networks, transparency, and responsibility, and it was found that the related factors were appropriately derived. The findings of this study are expected to be used as an activity factor for science and technology experts to increase the acceptability and effectiveness of carbon-neutral policies in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.67-72
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• 2015

Purpose - This aim of this study is to examine how conglomerates in Korea have evolved from the perspective of institutional economics. The growth of the economy, dominated by large conglomerates, is projected in light of the dynamic equilibrium between government and capitalists. Research design, data, and methodology - The historical formation of big business groups is examined in chronological order. For the analysis, we divide the assessment into three different eras: Japanese colonial rule, liberation up to the civil war, and the fast growing period since the military coup. Each period is viewed as a dynamic equilibrium that is shaped by economic agents. Results and Conclusion - Despite the rise of modern commerce during the colonial era, contemporary conglomerates came into being with the "enemy property" allotted by the government. Around the civil war, the government coexisted with prototype conglomerates through foreign aid. As the external aid decreased, the system could not be sustained anymore, thus the military coup took place. The reinstated strong bond between government and the conglomerates has shaped the forms of the modern conglomerates thereafter.

• Journal of Marine Life Science
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• v.8 no.1
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• pp.87-92
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• 2023

Microplastic particles are ubiquitous in the environment and not standardized particles of size, shape, or type. Therefore, it is very limited to establish a risk assessment framework that accurately evaluated and manage the multi-dimension of marine environment including seawater and sediment based on toxic data. In the study, we review the characteristics and effects of marine environmental microplastic and suggest risk assessment framework (draft) based on the distribution and impact of marine environmental microplastics. Although, the characteristics of environmental microplastic are very widely but the most abundant toxic data are concentrated on unique shape and type, and there are also large gaps of test organism between laboratory-exposed organisms and resident species. Great limitations with respect to toxicity data quality also exist for traditional effect assessment methods, which in reliability of the resulting risk characterizations. However, considering the fact that the international community's movement on microplastics management is gradually strengthening and the pollution level of microplastics in marine environment is increasing, further research on environmental relevant risk assessment technique should be proposed based on the characteristics of microplastics in the marine environment.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.141-162
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• 2011

The controls of Information Systems (IS) have been an more critical issue controls as the sophistication and integration of IS is more proceeded. ITGI (The Information Technology Governance Institute) of ISACA (Information Systems Audit and Control Association) has suggested COBIT (Control Objectives for Information and related Technology) and this has been widely recognized the evaluation model of IS controls. In COBIT, IS was evaluated in terms of process, information quality, and IT resources. This study used COBIT in order to suggest and empirically test an evaluation model of IS service. The data was collated from one major Chinese SI (Systems Integration) company in four domains of processes : planning and organization, acquisition and implementation, delivery and support, and monitoring. Seven factors are extracted using an exploratory factor analysis as follows : Overall IT planning process, technological assessment process in IT planning of IT, cost-benefit assessment process in IT planning, implementation process, support process, monitoring process, post-implementation evaluation process. The results of confirmatory analysis of three alternative measurement models indicated that the measurement model with one inherent or conceptual variable has greater model fitness than the other models. This study suggests the logical and general way to test and apply COBIT in evaluating IS services.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.355-378
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• 2015

In recent years, countries such as USA, United Kingdom and Australia have begun to implement national policies in order to systematically manage and share research data produced through publicly funded research. However, Korea as of yet does not have a coordinated research data policy. The lack of infrastructure that supports the sharing and preserving research data results in the poor management and loss of valuable data produced from significant national R&D investments. The need for research data collection, management and sharing goes beyond the outcome assessment of national research: it facilitates the diffusion of research impact and economic development. There is a growing recognition that data sharing is an essential element of research ethics. This research investigates the relevant research data policies and methods of governance at the national level using a case study analysis. United Kingdom was selected as a case study target as it shows a wide variety of policy examples and instruments. In particular, this research focuses on the UK's national legal framework for research data sharing, analyzes the RCUK (Research Councils UK)'s data policies, activities at the seven research councils under RCUK as well as several supporting institutions. Based on the analyses, this research offers a national roadmap for better managing and sharing of research data in Korea.