• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.185-195
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• 2020

This study examines the association between governance quality at country level and stock market performance. Specifically, the study investigates the influence of control of corruption, government effectiveness, political stability and absence of violence, rule of law, regulatory quality, and voice and accountability on all-share index of the stock markets of the six Gulf Cooperation Council (GCC) countries. This study is anchored on two theories - the Efficient Market Hypothesis (EMH) and Institutional Theory. The study employs panel data spanning from 2006 to 2017. The findings show that political stability and absence of violence and rule of law exhibit a significant positive impact on stock market performance, while regulatory quality and voice and accountability have a significant, but negative relationship with stock market performance. The results imply that quality of governance in terms of rule of law and political stability devoid of violence have strong impact on stock market returns. Similarly, improved stock market returns are largely dependent on the efficiency of the institutional environment of market as investors are always wary of the inherent risks associated with the uncertainty of the market. This study has crucial policy implications for the government of the GCC countries and stock market participants.

• International Journal of Contents
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• v.6 no.4
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• pp.69-78
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• 2010

In recent years, many leading corporations are actively adopting IT as competitive resources to improve productivity and processes efficiency with strategic alignments. In effect, IT investment also continues to increase. As a vast growth of IT investment, questions and criticism on recent IT investment results are also rapidly being raised. Especially, improper decision making and management on IT investment may cause negative impact on the company's reputation and finances, therefore companies need reasonable and wise investment decision making on new IT projects. This study applies the conceptual framework of IT governance to IT investment decision making cases to examine how IT investment governance influences the quality of IT investment decision making and how business-IT strategic alignment affects the quality of IT investment decision making. This paper contributes to identify the main factors for reasonable and effective IT investment decision making and expected to provide proper guidelines for IT investment decision making.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.141-148
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• 2021

Project management is a current trend of management in the public sphere, based on different principles, methods and tools. The tools include information technologies providing control over time, cost, quality and planning process in order to ensure accountability to interested parties. The goal of the research was to examine the impact of the integration of information systems in project management of the public sphere on the quality of public governance and administration using the example of infrastructure projects involving the private sector in developing countries. The methodology of the research is based on the concepts of "digital-era governance" (DEG), "Information governance" and "project governance" to determine the effectiveness of information systems and technologies in the management of infrastructure projects in the public sphere. The data from the countries with Lower middle income (India, Indonesia, Philippines, Ukraine, Vietnam) and Upper middle income (Argentina, Brazil, China, Colombia, Mexico, Peru, Romania, Russian Federation, Thailand, Turkey) for 1996-2020 were used to study the effects of DEG. The results show two main trends in the countries with Lower middle income and Upper middle income. The first trend is the development of digital governance, the concept of "digital-era governance" through information systems and performance measurement of the governance system, forecasting of investment flows of infrastructure projects, measurement of payback and effectiveness parameters for investment management in the public sector, decision support. The second trend is the existence of systemic challenges related to corruption, social and institutional factors through the development of democracy in developing countries and the integration of NPM similar to developed countries. The confidence of interested parties, especially private investors, in public authorities is determined by other factors - the level of return on investment, risks and assignment of responsibility, probability of successful completion of the project. These data still remain limited for a wide range of project participants, including citizens.

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

• 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.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.57-66
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• 2017

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.207-214
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• 2020

The objective of this study is to analyze the effect of the quality of the Internal Accounting Control System(IACS) on Executive compensation, and to determine whether this relationship depends on the effectiveness of corporate governance. For the analysis, 6,343 firm-year data listed on the Korea Exchange from 2011 to 2016 were used. The results are as follows. First, Executive compensation was decreased in companies with low quality of IACS to provide a penalty for management. Second, the negative relationship between the weaknesses of IACS and Executive compensation was found to be strengthened when the corporate governance was effectively operated. These findings suggest that information about the quality of the IACS can be usefully used to reasonably identify the executive compensation policy, and that corporate governance needs to be operated more efficiently.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.5-16
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• 2016

Prior literature expects a lower marginal cash value for weaker governance firms. We test this empirical hypothesis by using the sample of publicly traded Korean firms from 2005 to 2013. To measure the quality of governance structures, we employ the corporate governance scores provided by Korean Corporate Governance Services. The empirical model of Faulkender and Wang (2006) is adopted to estimate the marginal value of cash. Our empirical analysis shows a higher marginal value of cash for the good governance firms in the examination of the total governance score. This finding is consistent to the agency view of cash policy predicting a larger marginal value of cash for the firms with higher governance scores. However, this positive relationship is not robust for a subset of detailed governance scores; a lower marginal cash value is observed for the firms with better qualities of board structure, auditing, dividend policies. Moreover, our empirical analysis verifies a quite low level of marginal cash value for Korean firms, which supports the existence of severe agency conflicts in Korean corporations. Our results verify the significant role of agency conflicts between a manager and shareholders in the determination of marginal cash values in the Korean firms.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.67-79
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• 2016

Prior literature expects a lower marginal cash value for weaker governance firms. We test this empirical hypothesis by using the sample of publicly traded Korean firms from 2005 to 2013. To measure the quality of governance structures, we employ the corporate governance scores provided by Korean Corporate Governance Services. The empirical model of Faulkender and Wang (2006) is adopted to estimate the marginal value of cash. Our empirical analysis shows a higher marginal value of cash for the good governance firms in the examination of the total governance score. This finding is consistent to the agency view of cash policy predicting a larger marginal value of cash for the firms with higher governance scores. However, this positive relationship is not robust for a subset of detailed governance scores; a lower marginal cash value is observed for the firms with better qualities of board structure, auditing, dividend policies. Moreover, our empirical analysis verifies a quite low level of marginal cash value for Korean firms, which supports the existence of severe agency conflicts in Korean corporations. Our results verify the significant role of agency conflicts between a manager and shareholders in the determination of marginal cash values in the Korean firms.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.87-96
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• 2021

Data-driven markets depend on access to data as a resource for products and services. Since the quality of information that can be drawn from data increases with the available amount and quality of the data, businesses involved in the data economy have a great interest in accessing data from other market players and sharing data with other stakeholders. Despite the growing need for access to data and evidence of the economic and social benefits, data access and sharing remains below its potential. Individuals, businesses, and governments often face barriers to data access, which may be compounded by the reluctance to share, including within and across sectors. To address these challenges, this paper focuses on finding possible solutions for a better data-sharing economy. This paper 1) Discusses opportunities and challenges of open data and the data-sharing economy, limitations of private sector data, and issues with open government data. 2) Introduces open government data initiatives and open governance networks initiatives. 3) Suggests possible solutions, including the governance and management, the legal and policy frameworks, and the technical standards for open data with proposing an open data governance model for the data-sharing economy.