• Informatization Policy
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• v.18 no.1
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• pp.73-99
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• 2011

The Korean military has developed and operated computer, network, communication technologies as well as war game models to strengthen the national defense M&S continuously. In particular, lots of projects for developing models for drill/training, analyses, and acquired fields are being conducted in the military. However, it needs to look into the actual conditions and seek for strategies to develop the national defense M&S. First of all, in the field of war games, various national defense architectures have been built, including war and information environment architectures starting from the resource architecture in 2006. However, the function of drill and training is limited, so additional war game architectures are required to be built. To build joint war game architectures available as an effective verification tool to implement plans of the national defense and war architectures, this study examines the actual conditions of the current war game systems and suggested building joint war game architectures.

• Informatization Policy
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• v.31 no.2
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• pp.39-64
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• 2024

This study assesses the national AI competitiveness of 38 OECD countries with focus on AI human capital, AI infrastructure, and AI innovation capacity. Utilizing the fuzzy-set ideal type analysis method, these countries were categorized into eight distinct types based on their national AI competitiveness levels, leading to the derivation of pertinent implications. The analysis identified a category termed "AI Leading Country" consisting of North American, Western European, and Nordic countries, along with several Asian nations including South Korea. Remarkably, the United States demonstrated dominant global national AI competitiveness, achieving the highest fuzzy scores across all three evaluative factors. South Korea was classified as an "AI Leading Country" primarily due to its superior AI infrastructure, but its performance in AI human capital and AI innovation capacity was found to be moderate relative to other analyzed nations; thus highlighting the necessity of sustained focus on the accumulation of AI human capital and bolstering of AI innovation capacity.

• Informatization Policy
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• v.27 no.3
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• pp.39-55
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• 2020

This study was designed to analyze the relationship among the motivations for the use of digital devices, attitudes toward the use of digital devices and performance resulting from the use of digital devices in middle-aged and elderly groups by using a path analysis. For an empirical analysis, the 2018 Survey on the Digital Divide by the National Information Society Agency was referenced, analyzing the data of 1,664 people, selected through listwise deletion from total 2,303 people aged 55 or over. A close examination of how measuring variables reflect potential variables (motivations for, attitudes toward and performance resulting from the use of digital devices) showed a significance of 0.001, which suggests that each individual measuring variable does reflect the potential variables. Evaluation of the pathway factors of the structural model from the motivations for the use of digital devices to the attitudes toward the use of digital devices (β=0.847) and from the attitudes toward the use of digital devices to the performance resulting from the use of digital devices (β= 0.745) revealed significant statistical effects. The results of this study suggest that the motivations for the use of digital devices does not directly enhance the digital device use performance, but that it can improve the attitudes toward the use of digital devices, which can in turn increase the performance resulting from the use of digital devices. The analysis holds significance that it has presented practical and policy implications.

• Informatization Policy
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• v.24 no.3
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• pp.3-26
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• 2017

The amount of unstructured data generated online is increasing exponentially and the analysis of text data is being done in various fields. In order to identify the research trends on the platform government, the title, year, academic society, and abstract information of the academic papers on the subject of platform government were collected from the database of the domestic papers, DBPIA(www.dbpia.co.kr). The results of the existing research on the platform government and related fields were analyzed based on each stage of the national informatization promotion. The technology, service, and governance topics were extracted from papers on platform government and the trends of core topics were analyzed by year. Entering the era of the intelligent information society, this study has significance for providing the basis for defining a new role of government - the platform government that sets the stage for the private sector to lead the innovation, and plays the role of an 'enabler' and 'facilitator' instead. The purpose of this study is to understand the platform government research through objective analysis of its trends. Looking for future directions, this study will contribute to future research by providing reference materials.

• Informatization Policy
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• v.22 no.1
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• pp.47-72
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• 2015

According to the progress of national informatization throughout the world, infringement and threaten of privacy are happening in a variety of fields, so government is providing information security policy. In particular, South Korea has enhanced personal impact assessment based on the law of personal information protection law(2011). But it is not enough to effect the necessary cost calculation standards and changeable factors to effect PIA. That is, the budgets for PIA was calculated lower than the basic budget suggested by Ministry of Government Administration Home affairs(2011). Therefore, this study reviewed the cost calculation basis based on the literature review, cost basis of similar systems, and reports of PIA and obtained to the standard with Delphi analysis. As a result, the standards of PIA is consisted to the primary labors and is utilized to how the weights by division of target system, construction and operating costs of target system, type of target systems, etc. Thus, the results of this study tried to contribute to ensure the reliability of PIA as well as the transparency of the budget for privacy in public sector.

• Informatization Policy
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• v.28 no.2
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• pp.98-113
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• 2021

This study presents implications of the Global Data Law & Policy by comparing national data strategies, data regulations and policies, and governance in South Korea, the United States, the United Kingdom, and the European Union. According to the result of the comparative analysis, the biggest difference is in data governance, in other words, the management and coordination of policies at the pan-government level and data ethics. Therefore, this study proposes the establishment of a presidential special committee on data policy or the creation of a 'National Digital Innovation Office' at the Presidential Secretariat as a national CDO for the governance of data policies. Furthermore, this paper suggests a) to enact 'the Framework Act on the Development of Data Industry' that can regulate data practices in the private sector, b) to institutionalize the data-centric security and data protection, c) to settle the public ethics and personnel management based on data expertise and professional ethics, including explainability and responsibility, and d) the education and training systems.

• Informatization Policy
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• v.31 no.2
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• pp.65-81
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• 2024

The scale of e-procurement through online shopping malls of public institutions including government comprehensive shopping malls is increasing day by day. This study aims to examine how public officials evaluate products, delivery, and post service of online shopping malls for public institutions and to explore ways of improving their satisfaction. The results from a survey conducted among public officials of public institutions who have experience using online shopping malls of public institutions showed generally high satisfaction levels, although there was dissatisfaction with product diversity. Perception of delivery quality was generally positive, but there was room for improvement in delivery service. Furthermore, employing structural equation modeling, the study examined the influences on satisfaction and intention to reuse. Perceived product quality, delivery quality, and delivery service quality were confirmed to influence satisfaction considerably. Therefore, more efforts should be directed towards managing the information and quality of products to prevent returns, exchanges, and repairs and, in case of issues, handling them promptly and transparently.

• Informatization Policy
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• v.21 no.3
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• pp.33-55
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• 2014

Public Shared Service Centers (PSSC) consolidate functions such as human resources, information technology, financial management or accounting into one office to serve an organization. A prominent example from the United States is the Federal Information Technology Shared Services Strategy. It supports mission, administrative, and infrastructure-related IT functions through providing organizations in the Executive Branch of the Federal Government (Federal Agencies) with policy guidance on the full range and lifecycle of intra- and inter-agency information technology (IT) shared services. This study looks at the Federal Information Technology Shared Services Strategy in order to draw lessons for fostering collaborative government through the use of PSSC. It finds the following factors are critical for success when implementing IT shared services: (1) agency leadership must be solidly behind their IT shared service plan, or the needed changes will not happen at the business unit, program, or system levels; (2) there must be a move away from internally-centered, program-specific thinking, and a move toward a paradigm of consuming and providing IT shared services with multiple groups whenever possible; and (3) successfully managing "loss of control" issues is central, and optimizing business processes is essential to move from stove-piped workflows to processes that work across the agency enterprise and beyond. Therefore, the study suggests that a Korean model of PSSC implementation be introduced, and that good IT Governance is a crucial component of PSSC strategies.

• Informatization Policy
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• v.28 no.4
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• pp.76-92
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• 2021

The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.

• Informatization Policy
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• v.27 no.2
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• pp.3-19
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• 2020

Artificial intelligence(AI) and blockchain are developing as the core technology leading the Fourth Industrial Revolution. However, AI is still showing limitations in securing and verifying data and explaining the evidence for the results, and blockchain also has some drawbacks such as excessive energy consumption and lack of flexibility in data management. This study analyzed technological limitations of AI and blockchain and convergence trends to overcome them, and finally suggested ways to improve Korea's related policies. Specifically, in terms of R&D reinforcement, we proposed 1) mid- and long-term AI /blockchain convergence research at the national level and 2) blockchain-based AI data platform development. In terms of creating an innovative ecosystem, we also suggested 3) development of AI/blockchain convergence applications by industry, and 4) Start-up support for developing AI/blockchain convergence business models. Lastly, in terms of improving the legal system, we insisted that 5) widening the application of regulatory sandboxes and 6) improving regulations related to privacy protection is necessary.