• The Journal of Information Systems
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• v.22 no.4
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• pp.1-22
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• 2013

Government initiatives are continuously being invested to nurture supporting business environment for small and medium sized enterprises (SMEs), such as government-support ERP systems project for SMEs. As such, scholars need to pay attention to SMEs can successfully adopt and manage government-support ERP systems. This study, therefore, conceptually developed and tested a research model for understanding what factors influence SMEs' intention to adopt government-support ERP systems. We obtained thirty samples from SMEs, which is organizational level, and data were analyzed using the partial least square (PLS) technique. The results of data analysis found that institutional pressure and resource dependence had positive effects on the adoption of government-support ERP systems. On the other hand, risk aversion of SMEs was found to have negative effects to adopt government-support ERP systems.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1259-1273
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• 2012

As a society of knowledge and information has been developed rapidly, because of changing from web environment to ubiquitous environment, a lot of countries across the world as well as S. Korea for national information with electronic Government have a variety of changes with big data. So this study is about development for national information and e-government of S. Korea with public data as big data analysed by the application of scenario planning. And then this research focused on the strategy consulting of national information with e-Government of S. Korea for utilization of public data as big data analysed by the application of 'scenario planning' as a foresight method. As a result, the future policy for utilization of public data as big data for national information with electronic government of S. Korea is to further spur the development of technology for linked data with semantic web for 'understanding of machine' than 'understanding of man'.

• Journal of Korea Trade
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• v.23 no.7
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• pp.83-95
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• 2019

Purpose - This study analyzed the effect of the Trump Government's protectionist trade policies on foreign ownership. Specifically, this study empirically analyzes the hypothesis that foreign ownership will decrease after the Trump Government rather than before the Trump Government. Design/methodology - The hypothesis of this study is based on the expectation that US protection trade policy will negatively affect the profitability of Korean companies. The dependent variable in this study is the foreign ownership ratio, and the independent variable is a dummy variable representing before and after the Trump Government. Multiple regression analysis was performed, including the control variables suggested in previous studies related to foreign ownership. Findings - As a result, foreign ownership increased after the Trump Government rather than before the Trump Government. This study further analyzes whether the main variables affecting foreign investor's decision-making are differences before and after Trump Government. The export ratio, profitability and dividends did not differ before and after Trump Government. However, the level of information asymmetry decreased after the Trump Government than before the Trump Government. This suggests that US protection trade policies do not adversely affect the profitability of Korean companies. However, Korean firms are improving their information environment because US protectionist trade policies can lower profitability and negatively impact capital raising. In this regard, the foreign ownership ratio seems to differ before and after the Trump Government. Originality/value - This study contributes in that it presents data that US protectionist policies can affect Korean corporate governance. This study has implications from the short-term analysis of US protection trade policy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.505-511
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• 2021

This study aims to investigate the effects of e-purchasing on increasing transparency, expanding market access, and the efficiency of the government procurement process. This study also investigates how transparency of the procurement process, improved market access and the efficiency of the procurement process in e-purchasing will decrease the level of fraudulent government procurement in Indonesia. The questionnaires were distributed to the Procurement Service Units (ULP) of Local Governments through email. There are currently 542 ULPs in Indonesia based on the data of the Government Procurement Policy Institute (LKPP). However, only 520 ULPs had their email addresses traced, 120 ULP returned the questionnaires and the response rate is lower than it was expected. The data research was analyzed by a structural equation model (SEM) by using WarpPLS 7.0. The results reveal that the e-purchasing effect on the transparency, the expansion of market access, and the efficiency of the government procurement process. The other findings show the negative effect between efficiency in government procurement and fraud in government procurement. The findings of this study suggest that efficiency in the process of government procurement will minimize fraud in government procurement. However, transparency in government procurement and the expansion of market access was not sufficient to minimize fraud in government procurement.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.201-209
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• 2021

The term, eGovernmen or e-Government, uses technology communications devices such as computers and the Internet to provide public services to citizens and others. The eGovernment or e-government provides citizens with new opportunities to access the government directly and conveniently, while the government provides citizens with directservices. Also, in these days, cloud computing is a feature that enables users to use computer system resources, especially data storage (cloud storage) and on-demand computing power, without having to manage themselves. The term is commonly used to describe data centers that are available to many users over the Internet. Today, the dominant Big Cloud is distributed across multiple central servers. You can designate it as an Edge server if it is relatively close to the user. However, despite the prevalence of e-government and cloud computing, each of these concepts has evolved. Research attempts to combine these two concepts were not being made properly. For this reason, in this work, we aim to produce independent and objective analysis results by separating progress steps for the analysis of e-government cloud service platforms. This work will be done through an analysis of the development process and architectural composition of the e-government development standard framework and the cloud platform PaaS-TA. In addition, this study is expected to derive implications from an analysis perspective on the direction and service composition of the e-government cloud service platform currently being pursued.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.55-63
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• 2017

One of the purposes of Information Technology (IT) is to support human response to natural and social problems such as natural disasters and spread of disease, and to improve the quality of human life. Recent climate change has happened worldwide, natural disasters threaten the quality of life, and human safety is no longer guaranteed. IT must be able to support tasks related to disaster response, and more importantly, it should be used to predict and minimize future damage. In South Korea, the data related to the damage is checked out by each local government and then federal government aggregates it. This data is included in disaster reports that the federal government discloses by disaster case, but it is difficult to obtain raw data of the damage even for research purposes. In order to obtain data, information extraction may be applied to disaster reports. In the field of information extraction, most of the extraction targets are web documents, commercial reports, SNS text, and so on. There is little research on information extraction for government disaster reports. They are mostly text, but the structure of each sentence is very different from that of news articles and commercial reports. The features of the government disaster report should be carefully considered. In this paper, information extraction method for South Korea government reports in the word format is presented. This method is based on patterns and dictionaries and provides some additional ideas for tokenizing the damage representation of the text. The experiment result is F1 score of 80.2 on the test set. This is close to cutting-edge information extraction performance before applying the recent deep learning algorithms.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.215-229
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• 2005

The purpose of this study is to analyses 7 metropolitan cites on the urban facility data rather than application systems including water, sewer, and roads and to present the best way to reconfigure of the geospatial data in Korea. Data were mainly compiled from the 2nd NGIS(National Geographic Information Systems: 95-00) because the GIS data of this study is relatively important to generate favorable results due to their data precisely examinate by the 1st NGIS evaluated results. In results, GIS data and invested budget of the Seoul metropolitan government were not only covered 25 distracted areas of the fields, but also were overwhelming other six metropolitan government invested budget. Relatively the Daejeon metropolitan government had least invested budget resulted in Jess geospatial data than others. In particularly there were serious geospatial data error occurred even though geospatial data of the urban infrastructures like water, sewer, and roads including the national infrastructure like elec., comm., heat, oil pipes, and gas were facilitated with human habitants, gas and elec. had very high error data nearly two times high than the permitted error in 30cm. Therefore, this paper exhibited a LiDAR technology to regenerate high accuracy geospatial data of the metropolitan governments because of the new technology's extremely accuracy in 20cm in horizontal scale in fields.

• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.181-206
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• 2020

With the popularization of open government data, Library-related open government data is also open and utilized to the public. The purpose of this paper is to diagnose the quality of library-related open government data and propose improvement measures to enhance the quality based on the diagnosis result. As a result of diagnosing the completeness of the data, a number of blanks are identified in the bibliographic elements essential for identifying and searching a book. As a result of diagnosing the accuracy of the data, the bibliographic elements that are not compliant with the data schema have been identified. Based on the result of data quality diagnosis, this study suggested improving the data collection procedure, establishing data set schema, providing details on data collection and data processing, and publishing raw data.

• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.375-387
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• 2004

The paper presents an Integrated E-Community System (IECS) for management, decision and service, designed for the e-government project of Haishu District of Ningbo, Zhejiang, China. The project need is to promote the integration of management information and service information of communities, providing a unified platform on which different departments of the district government can share and exchange community information, government officers can analyze information and make decisions, and the outside users can access and request services. To meet the project need, the IECS consists of five parts: 1) The Central DataBase (CDB) that stores all information related with management, decision and service of communities: 2) Information Extracting Subsystem (IES) that provides functions of extracting data from data sources, transforming and loading them into the CDB for system administrators; 3) Information Management Subsystem (IMS) that provides functions of querying and sharing of information for government users, and functions of information maintenance, rights and log management for system administrators: 4) Intelligent Analysis Subsystem (IAS) that provides functions of extracting analysis related data from the CDB and loading them into the DW, and functions of multi-dimensional analysis and decision-making based on the DW and OLAP for government users; 5) Information Service Website (ISW) that provides functions of promulgating and collecting of information for government users and system administrators, and functions of browsing, querying and requesting of service information for outside users. The IECS supports management, decision and service of a government based on a unified data platform--the CDB, and ensures data security by providing different workplaces and rights for different users. In the real application, the system works well.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.2
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• pp.77-86
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• 2023

Unlike previous studies that dealt with the basic characteristic of My Data in terms of the legal system, this study analyzed the impact of the basic characteristic of My Data, which is finding a balance between the use and protection of personal data, on My Data services and government policies at home and abroad through a literature review to present implications for the creation of a healthy My Data ecosystem. The basic characteristic of My Data acted as facilitators and barriers for the acceptance and activation of My Data services, and suggested the values and directions pursued in the My Data policies of major countries. This suggests that a more balanced perspective is needed in promoting MyData services and government policies in the future. It is hoped that this study will contribute to creating a healthy ecosystem of MyData and promoting desirable government policies.