• Informatization Policy
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• v.23 no.3
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• pp.64-83
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• 2016

Although the government mandated classroom use of smart technology, there exist obstacles to adapting smart technology as a means of educational tools in class. This study aims to explore the preconditions for integrating smart technology and early childhood education. To meet this end, this study investigates preschool teachers' perceptions about the possible benefits or negative impacts of using smart media on child education. Results show that teachers have negative rather than positive perceptions and attitudes toward preschoolers' use of smart media, which implies that rendering teachers have positive impression on smart education is most important for fostering smart education.

• Informatization Policy
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• v.17 no.2
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• pp.3-24
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• 2010

This is to review all empirical research articles on knowledge management activities in Korean government agencies. Analyzed were forty six articles published in some major journals for the last decade. The results of analysis show that they mainly focused on such topics as what factors have statistically significant influences upon the knowledge-based activities and whether knowledge activities have achieved the intended performance. More research attentions have been paid upon both knowledge sharing and knowledge creation activities. Most of the empirical studies are dependent upon hypotheses testing, data collection in questionnaire, and the use of multivariate statistical methods. Some suggestions for future research are to do research on more diverse topics, to utilize various research methods, and to make an integrated approach to the knowledge management.

• Informatization Policy
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• v.24 no.1
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• pp.30-47
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• 2017

The Korean government developed an organizational maturity model for public data quality management based on international standards to evaluate the data quality management level of public organizations, However, as the model has too many indicators to apply on the site, a new model with reduced number of indicators is proposed in this paper. First, the number of processes is reduced by integrating and modifying the processes of the previous model. Second, a new maturity evaluation method is proposed based on capability levels focused on the activity, not on the process. Third, the maturity level of public data quality management is represented by five discrete levels or real values of 1 through 5. Finally, characteristics of the proposed model are compared with those of the previous model.

• Informatization Policy
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• v.17 no.1
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• pp.120-135
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• 2010

Competition is now moving from between companies to between networked enterprises(NE). It's difficult to evaluate the outcome of NE because formalization of collaboration among partners is difficult. This paper introduces a performance-management model focusing on collaboration in NE. The model is an integration of BSC and EFQM model, but it is different from conventional researches as it links performance management with strategic management based on a comprehensive framework of collaboration. Theoretical and empirical researches are further required to validate the model. Studying cases of several Korean NEs, we have obtained some findings for further research and application.

• Informatization Policy
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• v.26 no.4
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• pp.3-19
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• 2019

Many countries have developed e-governments, but their current statuses differ by country, as demonstrated in the United Nations E-Government Survey. This study focuses on what factors cause these differences. Specifically, it analyzes economic and organizational factors, both of which have not yet been sufficiently considered. Through quantitative and qualitative analyses, the results show that GDP growth and the days required to start a business are important factors, while fiscal balance does not appear to affect e-government development as much. In addition, the existence of allocated ministries or departments that belong to a president or prime minister are also important for e-government progression.

• Informatization Policy
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• v.24 no.4
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• pp.68-78
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• 2017

Malicious codes are currently becoming more complex and diversified, causing various problems spanning from simple information exposure to financial or psychologically critical damages. Even though many researches have studied using reverse engineering to detect these malicious codes, malicious code developers also utilize bypassing techniques against the code analysis to cause obscurity in code understanding. Furthermore, rootkit techniques are evolving to utilize such bypassing techniques, making it even more difficult to detect infection. Therefore, in this paper, we design the analysis process as a more agile countermeasure to malicious codes that bypass analysis techniques. The proposed analysis process is expected to be able to detect these malicious codes more efficiently.

• Informatization Policy
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• v.24 no.4
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• pp.79-92
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• 2017

As city functions develop more complex and advanced, interests in smart cities are also increasing. Smart cities refer to the cities effectively solving urban problems such as traffic, safety, welfare, and living issues by utilizing ICT. Recently, many countries are attempting to introduce big data, Internet of Things, and artificial intelligence into smart cities, but they have not yet developed into comprehensive urban services. In this paper, we review the current status of domestic and overseas smart cities and suggest ways to solve issues of data sharing and service compatibility. To this end, we propose a "Deep Learning City Framework" that incorporates the deep learning technology into smart city services, and propose a new smart city strategy that safely shares spatial and temporal data in cities and converges learning data of various cities.

• Informatization Policy
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• v.23 no.1
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• pp.38-55
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• 2016

This study discusses the operating systems upgrade to motivation of windows users. To discuss this issues, research hypotheses were set based on Unified Theory of Acceptance Use of Technology(UTAUT) and Theory of Reasoned Action(TRA). The data were collected from undergraduate students. Total of 199 data were used for the analysis. The results of the analysis were summarized into two ways. first, performance expectancy and effort expectancy has a positive influence on attitude towards upgrade the operating systems. Second, social influence, facilitating conditions, and attitude had a positive influence on intention towards upgrade the operating systems. Thus, when users perceived a high degree of performance expectancy, effort expectancy, social influence, and facilitating conditions towards upgrade the operating systems, they evaluated more positively the upgrade the operating systems.

• Informatization Policy
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• v.27 no.3
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• pp.3-18
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• 2020

In the growing digitalized world, the European Union implemented the General Data Protection Regulation(GDPR) to establish a comprehensive data protection framework across member states. Given the constitutional roots of GDPR, the EU's regulatory approach is different than other data protection regimes. The new regulation has strengthened individual rights to data protection, but it also introduced several obligations for businesses that collect and process personal data. We review the existing literature on privacy, particularly GDPR, from a policy perspective. The evidence outlines data regulation's effects on competition, innovation, marketing activities, and cross-border data flows. The discussion highlights the tradeoffs between increased regulation of data protection and its effects on the market.

• Informatization Policy
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• v.20 no.3
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• pp.18-42
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• 2013

Policy-related knowledge refers to a body of knowledge that bureaucrats and policy makers use when making decisions. In this study we conceptualize policy knowledge as intellectual infrastructure which helps to maximize efficiency with the viewpoint of policy ecosystem. The policy knowledge ecosystem covers people and organizations that participate in the production, distribution, and consumption process of the policy-related knowledge plus interactions between participants. We build the conceptual policy ecosystem model of comparative analysis, and analyze characters of e-government policy between Korea and U.S.A. The results suggest theoretical and policy implications focusing on the relevant policy knowledge is crucial for the sustainable development and growth.